Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network

Size: px
Start display at page:

Download "Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network"

Transcription

1 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network Rajeev Kumar 1,a, Somnath Chattopadhyaya 2,b, Sanjeev Kumar 3,c 1 Department of Mechanical Engineering, ISM, Dhanbad (JH.), India Department of Mechanical Engineering, ISM, Dhanbad (JH.), India Department of Mechanical Engineering, IIMT, Gr. Noida, India a errajeev79@gmail.com b somuismu@gmail.com c sanjeevkg9@gmail.com Keywords: Weld bead, back-propagation neural network, modeling etc. Abstract A number of welding parameters are responsible for the quality of welds. The modeling of weld bead shape is important for predicting the quality of welds. In this paper, an attempt has been made to develop a back-propagation neural network (BPNN) model for the prediction of reinforcement height and width of bead in GTA bead-on plate welding process. The experimental results were used as testing sample for BPNN model. Welding current and welding speed were considered as the input parameters and bead reinforcement height and bead width were response parameters in the development of the BPNN model. The percentage errors (%) for all the samples were calculated to validate BPNN model. The result was found that the BPNN model developed in the present research work can predict the responses selected with good agreement. 1. Introduction TIG welding is a metal joining process in which the arc is established between a non-consumable tungsten electrode and the metal being welded. Shielding gas (Ar, He, etc.) is used to protect weld pool from the contaminants in the atmosphere. The Weld bead geometry parameters have large influence on the quality of welded product. That is why researches on influence of various welding process parameters on formation of bead, bead geometry, and depth of penetration have attracted the attention of many researchers to carry out further investigations, Apps, Gourd, Lelson et al. (1963), Wealleans, Allen et al. (1969),Becker, and Adams et al.(1978). 2. Past Work To study the behavior of a process by conducting minimum number of experiments S.M. Wu (1964),D.A. J.Stegner et al. (1967), and L.J. Yang, et al. (1993), mathematical modeling with design of experiments (DOE) was found to be an effective tool. This has not only led to the saving of cost but time also. The development of artificial neural network (ANN) provides an alternative for solving many engineering problems. In order to monitor and control the welding processes, a number of artificial Intelligence (AI) are available such as time series models, regression models, adaptive neuro fuzzy inference systems (ANFIS), artificial neural network (ANN) etc. It is one of the powerful modeling techniques based on statistical methods, practicing in the field of engineering containing a complex relationship which is difficult to explain with physical models [Rajkr et al]. Martin oscar et al. (2010) used ANN to predict the influence of welding parameters on pitting corrosion behavior of resistance spot welding joints of AISI 304 austenitic stainless steel. Choobi et al. (2012) developed a neural network model to predict the angular distortion 596-1

2 Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network in butt welded 304L SS plates. FEM was used to obtain training data for a wide range of plate dimension. Table 1: Experimental and predicted values with % error. combined models (FNN+SVR).Yasuhisa et al. (2008) predicted the welding distortions in T-joint fillet welds with the help of artificial neural networks. The input data used were obtained from FEM simulation results. S. No. Welding current (Ampere) Welding speed (mm/sec) Reinforcement height, H (mm.) (Exp.) Bead width,w (mm.) (Exp.) Predicted (NN) Reinforcement height, 'H' Predicted (NN) Reinforce ment width, 'W' For 'H' Error in % For 'W' The present study is initiated to develop an ANN model to predict the values of depth of penetration (P) and bead width (W) from butt welded stainless steel 304 plates using gas tungsten arc welding.kanti et al. (2008) have predicted the weld bead geometry using BP neural network model in GMAW welding. Okuyucu et al. (2007)predicted the mechanical properties of welded Al plates as function of process parameters of friction stir welding using back propagation neural network algorithm. Sukhomoyet al. (2008) have predicted the tensile stress of welded plates using multi-layer neural network model with arc signals as an input parameters. Fard et al. (2012) predicted the maximum residual stress produced in GMAW welding using a back propagation neural network algorithm.villar et al. (2009) described an artificial neural network (ANN) model for classifying welding defects. Lim et al. (2010) have investigated the residual stress of dissimilar metal welding taken into account of various welding condition using three data-based models, including support vector regression (SVR), fuzzy neural network (FNN) and 3. Experimentation The material of plates selected for the experiments is AISI type 304L stainless steel. Typical chemical composition of the material used in the experimental work is shown in table. Two plates of size 150 *50 *4.8 mm containing V-groove joint between them were used during the experiments to make a finished weld pad. The welding parameters were noted during the actual welding to determine the fluctuation if any. The value of weld width (W) and reinforcement height(h) were measured using digital vernier caliper of least count 0.01mm. The experimental database is shown in Table 1. An experimental setup of TIG welding is shown in Figure 2(a). Specimen after welding is shown in Figure 3.The TIG welding machine used in this experiment is a 14.6 KVA, 80V 400V 3phase, 50/60 Hz frequency, 21A, V260-T model from Lincoln Electric Italia

3 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India Figure 2 (b): TIG welding Torch Figure 1: Bead Geometry Table 2 (a): Chemical Composition of AISI 304LStainless Steel Element C Cr Mn Ni Wt. (%) Element P S Si Fe Wt. (%) Balance Table 2 (b): Chemical Composition of filler (ER 308 SS) Element C Cr Mn Ni Wt. (%) Element P S Si Fe Wt. (%) Balance 4. Results and Discussion The experiments are conducted and response values (of reinforcement height and weld width) are shown in table 1. In an ANN model, out of all the experimental data, 70% data are used for training, 15% data for testing and remaining 15% data are used for validation. With these settings, the input vectors and target vectors will be randomly divided into these sets. This division can be customized according to network using function like divideint and divideind which are based on certain algorithm Figure 2: Experimental setup of TIG welding(v260- T model from Lincoln Electric Italia) 4.1 ANN Model Figure 3: Welded Specimen ANN are computational models, which replicate the function of a biological network, composed neurons are used to solve complex functions. In the present work, the ANN used consists of two layers named as input layer, hidden layer and output layer as shown in figure. The input layer consists of different number of inputs variables as explained earlier. The back propagation algorithm (BPA) has powerful ability of nonlinear interpolation which is used for prediction and optimization of engineering problems, Hagan MT et al. (1996) and Haykin SS et al. (2009) and many researchers have used BPA to model welding processes and predict welding performances using neural network. In this work, MATLAB 2013a is used for training the network model for reinforcement height and weld width. The designed ANN structure used in the present work is , with 2 corresponding to the input layer neurons, 10 to hidden layer neurons and 2 to output layer neurons (Figure 6). The numerical optimization technique used for this work is called Levenberg- Marquardt (LM). The architecture of a two layered NN is shown in Figure 4. The developed ANN architecture is trained with the help of BPA using 7 data sets. The neural network described in this work, after successful training, is used to predict the weld width and reinforcement height of welded joints. The data used for testing are indicted in Table 1. The average % errors listed in Table 1, are calculated between the experimental and predicted value ranging between to Much difference was found in ANN and experimental value due to large variation in machine accuracy and predicted data from ANN model

4 Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network Figure 4: Configuration of Proposed NN Fig. 5: Co-relation plot for testing data set in ANN model a Exp. ANN Weld bead width (W) Figure 6: Input-output model of NN (2013) Trial Number 596-4

5 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India b Exp. ANN 1. The bead width (W) and reinforcement height (H) were predicted by artificial neural network model (ANN) with back propagation algorithm for welding parameters. The neural network with was found to give judiciously good estimate accuracy for both bead width (W) and reinforcement height (H). B e a d R e i n f o r c e m e n t h e i g h t ( H ) The established neural network model gave an average prediction error of % for weld bead width and %for depth of penetration (P) for training and testing. 3. The NN was found capable to predict the results of weld bead width (W) and reinforcement heights (H) fairly accurate and good agreement with experimental results. This model can be used to predict other weld characteristics like metal deposition rate, angular distortion, tensile strength etc. and may act as a key role in production industry. 2.4 References Trial Number Figure 6: Comparison between the experimental and ANN output for a) 'W' and b) 'P'. The percentage error between the actual value of output and the value predicted by training and testing network are presenting in same Table 1. Error value is calculated by the difference between the experimental value of both 'W' and 'P' and the value predicted by ANN model and is shown in equation 1. The comparison results between the experimental and ANN predicted values are shown in Figure 6(a) & 6(b) for both the characteristics i.e. 'W' and 'P'. The co-relation plot of the testing data for ANN model is shown in Figure 5. As most of the data fall along a 45 0 line and the network outputs are equal to the targets and R values in each case is above 0.93, the fit is reasonably good for all the data sets. From the Figures 6(a) and 6(b), it has been concluded that that NN is capable to predict the results of weld width (W) and reinforcement height (H) fairly accurate and good agreement with experimental results. Predicted error (%) = [experimental value-predicted value] *100 experimental value (1) 5. Conclusion The following conclusion can be drawn out and listed below. R.L. Apps, L.M. Gourd, K.A. Lelson (1963), Effect of welding variables upon bead shape and size in submerged-arc welding, welding and metal fabrication, Vol. 31(11), pp J.W. Wealleans, B. Allen (1969), Effects of process variables in TIG welding, welding and metal fabrication, Vol. 37,pp D.W. Becker, C.M. Adams Jr (1978), Investigation of pulsed GTA welding parameters, Welding journal, Vol. 57(5), pp S.M. Wu (1964), Analysis of rail steel bar welds by two-level factorial design, Welding Journal, Vol.43(4), pp D.A. J.Stegner, S.M. Wu, N.R, Braton (1967), Prediction of heat input for welding, Welding Journal, Vol. 46(3), pp L.J. Yang, M.J. Bibby,R.S. Chandel (1993), Effects of process variables on bead width of submerged arc weld deposits, Journal of Material Processing Technology, Vol.29 (1-3), pp Martin oscar, Tiedra De Pilar (2010), Artificial neural network for pitting potential prediction of resistance spot welding joints of AISI 304 austenitic stainless steel, Corros Sci, Vol.52, pp Choobi M and Haghpanahi M (2012), Prediction of welding-induced angular distortions in thin butt welded plates using artificial neural networks, Compos Mater Sci, Vol. 62, pp

6 Prediction of bead reinforcement height and width of Gas Tungsten Arc Welded bead-on plate joints using Artificial Neural Network MATLAB User's Manual (2013), MATLAB release 2013a, Mathworks Inc. Hagan MT, Demuth HB and Beale M (1996), Neural network design, Boston London Pws Pub. Haykin SS (2009), Neural network and learning machines, New York, Prantice Hall. Kanti K, and Rao P. (2008), Prediction of bead geometry in pulsed GMM welding using back propagation neural network, J. Mater Process Technol, Vol. 200, pp Okoyucu H. and Kurt A. (2007), Artificial neural network application to friction stir welding of aluminium plates, Mater Des, Vol. 28, pp Ahmadzaden M. and Fard A. (2012), Prediction of residual stresses in gas arc welding by back propagation neural network, NDT & E Int, Vol. 52, pp Lim D. and Bae I. (2010), Prediction of residual stress in the welding zone of dissimilar metals using data based models and uncertainty analysis, Nucl Eng Des, Vol. 240, pp Sukhomay P., Surjya P., and Samantaray A. (2008), Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals, J Mater Process Technol, Vol. 202, pp Vilar R., and Zapata J. (2009), An automatic system of classification of weld defects in radiographic images, NDT& E Int, Vol. 42, pp Yasuhisa O. (2008), Estimation of welding distortion using neural network, J ship prod, Vol. 24, pp

Optimising Process Conditions in MIG Welding of Aluminum Alloys Through Factorial Design Experiments

Optimising Process Conditions in MIG Welding of Aluminum Alloys Through Factorial Design Experiments Optimising Process Conditions in MIG Welding of Aluminum Alloys Through Factorial Design Experiments OMAR BATAINEH (first and corresponding author); ANAS AL-SHOUBAKI; OMAR BARQAWI Department of Industrial

More information

Effect of TIG Welding Parameters on the Properties of 304L Automated Girth Welded Pipes Using Orbital Welding Machine

Effect of TIG Welding Parameters on the Properties of 304L Automated Girth Welded Pipes Using Orbital Welding Machine Research Reviews: Journal of Material Science DOI: 10.4172/2321-6212.1000201 e-issn: 2321-6212 www.rroij.com Effect of TIG Welding Parameters on the Properties of 304L Automated Girth Welded Pipes Using

More information

REGRESSION MODELING AND PROCESS ANALYSIS OF RESISTANCE SPOT WELDED JOINTS

REGRESSION MODELING AND PROCESS ANALYSIS OF RESISTANCE SPOT WELDED JOINTS 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 214) December 12 th 14 th, 214, IIT Guwahati, Assam, India Abstract REGRESSION MODELING AND PROCESS

More information

Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel

Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel Indian Journal of Engineering & Materials Science Vol. 21, April 2014, pp. 149-154 Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel G Bansal Rajkumar

More information

AUTOMATIC WELDING SPEED CONTROL BY MONITORING IMAGE OF WELD POOL USING VISION SENSOR

AUTOMATIC WELDING SPEED CONTROL BY MONITORING IMAGE OF WELD POOL USING VISION SENSOR AUTOMATIC WELDING SPEED CONTROL BY MONITORING IMAGE OF WELD POOL USING VISION SENSOR Ario Sunar Baskoro 1, Achmad Zaki Rahman 2 and Haikal 1 1 Laboratory of Manufacturing Technology and Automation, Department

More information

Finite Element Simulation of Nd:YAG laser lap welding of AISI 304 Stainless steel sheets

Finite Element Simulation of Nd:YAG laser lap welding of AISI 304 Stainless steel sheets Finite Element Simulation of Nd:YAG laser lap welding of AISI 304 Stainless steel sheets N. SIVA SHANMUGAM 1*, G. BUVANASHEKARAN 2 AND K. SANKARANARAYANASAMY 1 1 Department of Mechanical Engineering, National

More information

Effect of FCAW Process Parameters on Weld Bead Geometry in Stainless Steel Cladding

Effect of FCAW Process Parameters on Weld Bead Geometry in Stainless Steel Cladding Journal of Minerals & Materials Characterization & Engineering, Vol. 10, No.9, pp.827-842, 2011 jmmce.org Printed in the USA. All rights reserved Effect of FCAW Process Parameters on Weld Bead Geometry

More information

Experimental Study on Autogenous TIG Welding of Mild Steel Material Using Lathe Machine

Experimental Study on Autogenous TIG Welding of Mild Steel Material Using Lathe Machine Experimental Study on Autogenous TIG Welding of Mild Steel Material Using Lathe Machine Abhimanyu Chauhan M Tech. Scholar Production Engineering, Marudhar Engineering College, Bikaner, Rajasthan, India,

More information

The principle Of Tungsten Inert Gas (TIG) Welding Process

The principle Of Tungsten Inert Gas (TIG) Welding Process The principle Of Tungsten Inert Gas (TIG) Welding Process This chapter presents the principle of tungsten inert gas (TIG) welding process besides important components of TIG welding system and their role.

More information

OPTIMIZATION OF GAS TUNGSTEN ARC WELDING PARAMETERS ON PENETRATION DEPTH AND BEAD WIDTH USING TAGUCHI METHOD

OPTIMIZATION OF GAS TUNGSTEN ARC WELDING PARAMETERS ON PENETRATION DEPTH AND BEAD WIDTH USING TAGUCHI METHOD OPTIMIZATION OF GAS TUNGSTEN ARC WELDING PARAMETERS ON PENETRATION DEPTH AND BEAD WIDTH USING TAGUCHI METHOD Muhammad Ibrahim 1, ShahidMaqsood 1, Rafiullah Khan 2, Muhammad Amjad 2, SakhiJaan 2 ABSTRACT

More information

Materials & Processes in Manufacturing

Materials & Processes in Manufacturing 2003 Bill Young Materials & Processes in Manufacturing ME 151 Chapter 37 Arc Processes Chapter 38 Resistance Welding Chapter 39 Brazing and Soldering 1 Introduction Arc welding processes produce fusion

More information

Effect of Welding Parameters Controlling Submerged ARC Welding Process

Effect of Welding Parameters Controlling Submerged ARC Welding Process International Journal of ChemTech Research CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555 Vol.10 No.4, pp 473-480, 2017 Effect of Welding Parameters Controlling Submerged ARC Welding Process

More information

Fuzzy control of pulsed GTA welds by using real-time root bead image feedback

Fuzzy control of pulsed GTA welds by using real-time root bead image feedback Journal of Materials Processing Technology 176 (2006) 158 167 Fuzzy control of pulsed GTA welds by using real-time root bead image feedback Chiung-Hsin Tsai c,, Kuang-Hua Hou b, Han-Tung Chuang a a Department

More information

Triyono, Jamasri, M.N. Ilman, R. Soekrisno. International Journal of Engineering & Technology IJET-IJENS Vol: 11 No:

Triyono, Jamasri, M.N. Ilman, R. Soekrisno. International Journal of Engineering & Technology IJET-IJENS Vol: 11 No: International Journal of Engineering & Technology IJET-IJENS Vol: 11 No: 03 118 Comparative Study of Fatigue Assessment Methods with and without Considering Residual Stress on Resistance Spot-Welded Unequal

More information

CHAPTER 3: TYPES OF WELDING PROCESS, WELD DEFECTS AND RADIOGRAPHIC IMAGES. Welding is the process of coalescing more than one material part at

CHAPTER 3: TYPES OF WELDING PROCESS, WELD DEFECTS AND RADIOGRAPHIC IMAGES. Welding is the process of coalescing more than one material part at 41 CHAPTER 3: TYPES OF WELDING PROCESS, WELD DEFECTS AND RADIOGRAPHIC IMAGES 3.0. INTRODUCTION Welding is the process of coalescing more than one material part at their surface of contact by the suitable

More information

Chapter 12. Flux Cored Arc Welding Equipment, Setup, and Operation Delmar, Cengage Learning

Chapter 12. Flux Cored Arc Welding Equipment, Setup, and Operation Delmar, Cengage Learning Chapter 12 Flux Cored Arc Welding Equipment, Setup, and Operation Objectives Explain the FCA welding process Describe what equipment is needed for FCA welding List the advantages of FCA welding, and explain

More information

Optimization of Titanium Welding used in Aircrafts

Optimization of Titanium Welding used in Aircrafts Optimization of Titanium used in Aircrafts Prof. Anand Lahane 1, Shubham Devanpalli 2, Ritesh Patil 3, Suraj Thube 4 1 Assistant Professor, Dept. of Mechanical Engineering, Shatabdi Institute of Engineering

More information

Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm

Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm Journal of Optimization in Industrial Engineering 13 (2013) 49-54 Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm Mohammad Saleh Meiabadi

More information

EML 2322L -- MAE Design and Manufacturing Laboratory. Welding

EML 2322L -- MAE Design and Manufacturing Laboratory. Welding EML 2322L -- MAE Design and Manufacturing Laboratory Welding Intro to Welding A weld is made when separate pieces of material to be joined combine and form one piece when heated to a temperature high enough

More information

EFFECT OF DEVELOPED FLUX AND PROCESS PARAMETERS ON HARDNESS OF WELD IN SAW

EFFECT OF DEVELOPED FLUX AND PROCESS PARAMETERS ON HARDNESS OF WELD IN SAW EFFECT OF DEVELOPED FLUX AND PROCESS PARAMETERS ON HARDNESS OF WELD IN SAW Gyanendra Singh 1, Vivek Mishra 2,Vijay Shankar Yadav 3 1 Assistant Professor Mechanical Engineeering, Invertis University, Bareilly

More information

Experimental Investigation and Effect of Flux Core Arc Welding (FCAW) Processes on Different Parameters on En36

Experimental Investigation and Effect of Flux Core Arc Welding (FCAW) Processes on Different Parameters on En36 Experimental Investigation and Effect of Flux Core Arc Welding (FCAW) Processes on Different Parameters on En36 Senthilkumar. V 1 Adaikkappan. P 2 Elangovan.M 3 Elavarasan. R 4 Hariharan. S 5 Assistant

More information

EXPERIMENTAL INVESTIGATIONS ON TIG WELDING OF ALUMINIUM 6351 ALLOY

EXPERIMENTAL INVESTIGATIONS ON TIG WELDING OF ALUMINIUM 6351 ALLOY EXPERIMENTAL INVESTIGATIONS ON TIG WELDING OF ALUMINIUM 6351 ALLOY * Venkata Ramana M 1, Sriram P S N 2 and Jayanthi A 3 Department of Automobile Engineering, VNR Vignana Jyothi Institute of Engineering

More information

A COMPARATIVE STUDY OF LASER, CMT, LASER-PULSE MIG HYBRID AND LASER-CMT HYBRID WELDED ALUMINIUM ALLOY Paper 1304

A COMPARATIVE STUDY OF LASER, CMT, LASER-PULSE MIG HYBRID AND LASER-CMT HYBRID WELDED ALUMINIUM ALLOY Paper 1304 A COMPARATIVE STUDY OF LASER, CMT, LASER-PULSE MIG HYBRID AND LASER-CMT HYBRID WELDED ALUMINIUM ALLOY Paper 1304 Chen Zhang, Ming Gao, Geng Li, Xiaoyan Zeng Wuhan National Laboratory for Optoelectronics,

More information

Authors Pappu Kumar 1, Prof. Prakash Kumar 2 1 Post Graduate Scholar, Deptt. of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India.

Authors Pappu Kumar 1, Prof. Prakash Kumar 2 1 Post Graduate Scholar, Deptt. of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India. Volume 4 Issue 11 November-2016 Pages-6053-6058 ISSN(e):2321-7545 Website: http://ijsae.in DOI: http://dx.doi.org/10.18535/ijsre/v4i11.08 Optimization of Parameter (Mig ) Using Taguchi Method Authors Pappu

More information

Effect of Various Parameters on Angular Distortion in Welding

Effect of Various Parameters on Angular Distortion in Welding Research Article International Journal of Current Engineering and Technology ISSN 2277-4106 2011 INPRESSCO. All Rights Reserved. Available at http://inpressco.com/category/ijcet Effect of Various Parameters

More information

Welding Consumables for Lean Duplex Stainless Steels

Welding Consumables for Lean Duplex Stainless Steels Welding Consumables for Lean Duplex Stainless Steels Graham Holloway, Adam Marshall & Zhuyao Zhang Metrode Products Ltd, UK Presenter: Presenter - Graham Holloway Graham Holloway has been at Metrode Products

More information

AN EXPERIMENTAL INVESTIGATION ON FIBER LASER WELDING AT CONTROLLED INERT GASATMOSPHERE

AN EXPERIMENTAL INVESTIGATION ON FIBER LASER WELDING AT CONTROLLED INERT GASATMOSPHERE 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India AN EXPERIMENTAL INVESTIGATION ON FIBER

More information

INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING

INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING ISSN (ONLINE): 31-3051 INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING A NOVEL APPROACH FOR HARDNESS MEASUREMENT TIG WELDING OF GRADE 304 STAINLESS STEEL Parvinder Singh 1*,

More information

ALTIG 308L. TIG Rods Stainless and Heat resistant steels. Shielding Gas - EN ISO : I1

ALTIG 308L. TIG Rods Stainless and Heat resistant steels. Shielding Gas - EN ISO : I1 ALTIG 308L ALTIG 308L is a W 19 9 L/ER 308L type solid TIG welding rod depositing a low C-19Cr 9 Ni weld metal. Suitable for use mainly with Ar shielding gas. ALTIG 308L is used for the welding of 304

More information

RESPONSE PREDICTION IN MACHINING OF AISI 1040 STAINLESS STEEL USING ANN MODEL

RESPONSE PREDICTION IN MACHINING OF AISI 1040 STAINLESS STEEL USING ANN MODEL RESPONSE PREDICTION IN MACHINING OF AISI 1040 STAINLESS STEEL USING ANN MODEL Shakti kumar, Rabeshkumar singh, AmitRai Dixit, Amitava Mandal and Alokkumar Das Department of Mechanical Engineering, Indian

More information

A Study of Influence of Parameters of Dissimilar Materials Joining on Friction Stir Welding Process by Design of Experimental

A Study of Influence of Parameters of Dissimilar Materials Joining on Friction Stir Welding Process by Design of Experimental Proceedings of the 5th IASME/WSEAS Int. Conference on Heat Transfer, Thermal Engineering and Environment, Athens, Greece, August 25-27, 2007 129 A Study of Influence of Parameters of Dissimilar Materials

More information

LASER GUIDED AND STABILIZED GAS METAL ARC WELDING PROCESSES (LGS-GMA)

LASER GUIDED AND STABILIZED GAS METAL ARC WELDING PROCESSES (LGS-GMA) LASER GUIDED AND STABILIZED GAS METAL ARC WELDING PROCESSES (LGS-GMA) Jörg Hermsdorf Laser Zentrum Hannover, Germany OUTLINE Motivation Innovation Technology Project Concept Welding and Cladding Results

More information

Lecture 23. Chapter 30 Fusion Welding Processes. Introduction. Two pieces are joined together by the application of heat

Lecture 23. Chapter 30 Fusion Welding Processes. Introduction. Two pieces are joined together by the application of heat Lecture 23 Chapter 30 Fusion Welding Processes Introduction Fusion welding Two pieces are joined together by the application of heat Melting and fusing the interface Filler metal Extra metal added (melted)

More information

Welding Processes. Consumable Electrode. Non-Consumable Electrode. High Energy Beam. Fusion Welding Processes. SMAW Shielded Metal Arc Welding

Welding Processes. Consumable Electrode. Non-Consumable Electrode. High Energy Beam. Fusion Welding Processes. SMAW Shielded Metal Arc Welding Fusion Consumable Electrode SMAW Shielded Metal Arc Welding GMAW Gas Metal Arc Welding SAW Submerged Arc Welding Non-Consumable Electrode GTAW Gas Tungsten Arc Welding PAW Plasma Arc Welding High Energy

More information

Effects of Shielding Gas on the Mechanical and Microstructural Properties of 409L Ferritic Stainless Steels during Gas Metal Arc Welding

Effects of Shielding Gas on the Mechanical and Microstructural Properties of 409L Ferritic Stainless Steels during Gas Metal Arc Welding Effects of Shielding Gas on the Mechanical and Microstructural Properties of 409L Ferritic Stainless Steels during Gas Metal Arc Welding A. Feghhi 1, A. Emamikhah 2,*, Y. Bayat Asl 2 1 Department of Materials

More information

Introduction. Online course on Analysis and Modelling of Welding. G. Phanikumar Dept. of MME, IIT Madras

Introduction. Online course on Analysis and Modelling of Welding. G. Phanikumar Dept. of MME, IIT Madras Introduction Online course on Analysis and Modelling of Welding G. Phanikumar Dept. of MME, IIT Madras Classification of Manufacturing Processes Manufacturing Processes Ingot Casting Shape Casting Power

More information

Titanium Welding Technology

Titanium Welding Technology UDC 669. 295 : 621. 791. 754 Titanium Welding Technology Tadayuki OTANI* 1 Abstract In order to establish titanium welding technology TIG arc weldability and MIG arc weldability were surveyed. For TIG

More information

Nucleus geometry and mechanical properties of resistance spot welded coated uncoated DP automotive steels

Nucleus geometry and mechanical properties of resistance spot welded coated uncoated DP automotive steels Bull. Mater. Sci., Vol. 36, No. 6, November 2013, pp. 1049 1055. c Indian Academy of Sciences. Nucleus geometry and mechanical properties of resistance spot welded coated uncoated DP automotive steels

More information

Study of MIG Welding Process with Different Type Technique: A Review

Study of MIG Welding Process with Different Type Technique: A Review IJSTE - International Journal of Science Technology & Engineering Volume 4 Issue 6 December 2017 ISSN (online): 2349-784X Study of MIG Welding Process with Different Type Technique: A Review Naval Mahore

More information

Design and Simulation of Orbital Welding Head used in Welding Pressure Vessel Tube -A Review

Design and Simulation of Orbital Welding Head used in Welding Pressure Vessel Tube -A Review Design and Simulation of Orbital Welding Head used in Welding Pressure Vessel Tube -A Review Devang R.Kanaiya 1, Pankaj Rathod 2 Student ME (CAD/CAM) 1, Associate Professor 2 Mechanical Engineering Department,

More information

Welding Inspection Defects/Repairs Course Reference WIS 5

Welding Inspection Defects/Repairs Course Reference WIS 5 Copy from Welding Inspection Defects/Repairs Course Reference WIS 5 Weld Defects Defects which may be detected by visual inspection can be grouped under five headings Cracks Surface irregularities Contour

More information

Parametric Optimization for Friction Stir Welding of Al6061 Alloy using Taguchi Technique

Parametric Optimization for Friction Stir Welding of Al6061 Alloy using Taguchi Technique Parametric Optimization for Friction Stir Welding of Al6061 Alloy using Taguchi Technique Lingam Satyavinod 1, R Harikishore 2 1 Student, Department of Mechanical Engineering, DNREng College, Bhimavaram,

More information

Rajiv Suman 1, Dr. P.C.Gope 2 1 Research Scholar, Department of mechanical Engineering, College of Technology. Pantnagar (GBPUAT) Uttarakhand,INDIA

Rajiv Suman 1, Dr. P.C.Gope 2 1 Research Scholar, Department of mechanical Engineering, College of Technology. Pantnagar (GBPUAT) Uttarakhand,INDIA Microstructure and Mechanical Property Changes during TIG elding of 31-2 (IS-737) Aluminium Alloy Rajiv Suman 1, Dr. P.C.Gope 2 1 Research Scholar, Department of mechanical Engineering, College of Technology.

More information

XRD and TEM analysis of microstructure in the welding zone of 9Cr 1Mo V Nb heat-resisting steel

XRD and TEM analysis of microstructure in the welding zone of 9Cr 1Mo V Nb heat-resisting steel Bull. Mater. Sci., Vol. 25, No. 3, June 2002, pp. 213 217. Indian Academy of Sciences. XRD and TEM analysis of microstructure in the welding zone of 9Cr 1Mo V Nb heat-resisting steel LI YAJIANG*, WANG

More information

Forta SDX 2507 EN , ASTM UNS S32750

Forta SDX 2507 EN , ASTM UNS S32750 Forta SDX 2507 EN 1.4410, ASTM UNS S32750 General characteristics Forta SDX 2507 is a super duplex product with higher corrosion resistance and mechanical strength than Forta DX 2205. Often used in extremely

More information

Submerged Arc Welding: A discussion of the welding process and how welding parameters affect the chemistry ofcorrosion Resistant Overlays (CRO)

Submerged Arc Welding: A discussion of the welding process and how welding parameters affect the chemistry ofcorrosion Resistant Overlays (CRO) Submerged Arc Welding: A discussion of the welding process and how welding parameters affect the chemistry ofcorrosion Resistant Overlays (CRO) 1 Submerged Arc Welding (SAW) Part 1 The SAW welding process

More information

The Many Facets and Complexities of 316L and the Effect on Properties

The Many Facets and Complexities of 316L and the Effect on Properties The Many Facets and Complexities of 316L and the Effect on Properties Ingrid Hauer Miller Höganäs AB, Höganäs, Sweden state and country Ingrid.hauer@hoganas.com, +46702066244 Abstract One of the most widely

More information

RULES FOR THE CLASSIFICATION OF SHIPS

RULES FOR THE CLASSIFICATION OF SHIPS RULES FOR THE CLASSIFICATION OF SHIPS 2009 Part 26 - WELDING Amendments No.1 CROATIAN REGISTER OF SHIPPING Hrvatska (Croatia) 21000 Split Marasovićeva 67 P.O.B. 187 Tel.: (...) 385 (0)21 40 81 11 Fax.:

More information

Influence of Shielding Gas on Aluminum Alloy 5083 in Gas Tungsten Arc Welding

Influence of Shielding Gas on Aluminum Alloy 5083 in Gas Tungsten Arc Welding Available online at www.sciencedirect.com Procedia Engineering 29 (2012) 2465 2469 2012 International Workshop on Information and Electronics Engineering (IWIEE) Influence of Shielding Gas on Aluminum

More information

Kenji Kitano *, Masahito Ikebe *, Hiromi Shiraishi * *, Tatsuya Kasatani * *

Kenji Kitano *, Masahito Ikebe *, Hiromi Shiraishi * *, Tatsuya Kasatani * * Development of Fully Automatic Both - Side Welding (GMAW) for Pipeline Kenji Kitano *, Masahito Ikebe *, Hiromi Shiraishi * *, Tatsuya Kasatani * * * Sumitomo Metal Industries,LTD. Pipeline Engineering

More information

Review of EN ISO

Review of EN ISO Svetskommissionen Review of EN ISO 9606-1 Qualification testing of welders Fusion welding Purpose: Ensure the ability of a welder to follow written instructions and verify the welders skill. These are

More information

71T1 - Gas Shielded Flux Cored Welding Wire Provides excellent performance in all position welding. Weld Metal - Chemistry

71T1 - Gas Shielded Flux Cored Welding Wire Provides excellent performance in all position welding. Weld Metal - Chemistry Flux Cored Wire 71T1 - Gas Shielded Flux Cored Welding Wire Provides excellent performance in all position welding Description: Provides a stable arc, low spatter, easy to remove slag, and neat weld metal.

More information

Materials and Qualification Procedures for Ships

Materials and Qualification Procedures for Ships Materials and Qualification Procedures for Ships Approval of Works for the Manufacture of Fusion Welded Pressure Vessels Revision 4, July 2015 Page 1 of 17 Lloyd s Register Group Limited, its subsidiaries

More information

NEURAL NETWORK SIMULATION OF KARSTIC SPRING DISCHARGE

NEURAL NETWORK SIMULATION OF KARSTIC SPRING DISCHARGE NEURAL NETWORK SIMULATION OF KARSTIC SPRING DISCHARGE 1 I. Skitzi, 1 E. Paleologos and 2 K. Katsifarakis 1 Technical University of Crete 2 Aristotle University of Thessaloniki ABSTRACT A multi-layer perceptron

More information

Application of Narrow Gap Welding Process with High Speed Rotating Arc to Box Column Joints of Heavy Thick Plates

Application of Narrow Gap Welding Process with High Speed Rotating Arc to Box Column Joints of Heavy Thick Plates JFE TECHNICAL REPORT No. 14 (Dec. 2009) Application of Narrow Gap Welding Process with High Speed Rotating Arc to Box Column Joints of Heavy Thick Plates IWATA Shinji *1 MURAYAMA Masatoshi *2 KOJIMA Yuji

More information

CALCULATION OF MODE PARAMETERS OF WALL BEAD DEPOSITION IN DOWNHAND MULTI-PASS GAS-SHIELDED WELDING

CALCULATION OF MODE PARAMETERS OF WALL BEAD DEPOSITION IN DOWNHAND MULTI-PASS GAS-SHIELDED WELDING CALCULATION OF MODE PARAMETERS OF WALL BEAD DEPOSITION IN DOWNHAND MULTI-PASS GAS-SHIELDED WELDING M.A. SHOLOKHOV and D.S. BUZORINA «Shtorm» Ltd. 28 Bazhov Str., Verkhnyaya Pyshma, RF. E-mail: ekb@shtorm-its.ru

More information

4 th Pipeline Technology Conference 2009

4 th Pipeline Technology Conference 2009 In 2006, CRC-Evans was first introduced to the Cold Metal Transfer (CMT) process. At the time, CMT was a technology intended for use as a joining method for thin gauged materials in the automotive industry.

More information

Job Ready Assessment Blueprint. Welding. Test Code: 4172 / Version: 01. Copyright 2013 NOCTI. All Rights Reserved.

Job Ready Assessment Blueprint. Welding. Test Code: 4172 / Version: 01. Copyright 2013 NOCTI. All Rights Reserved. Job Ready Assessment Blueprint Welding Test Code: 4172 / Version: 01 Copyright 2013 NOCTI. All Rights Reserved. General Assessment Information Blueprint Contents General Assessment Information Written

More information

INVESTIGATION OF RECYCLED SLAG IN SUBMERGED ARC WELDING FOR

INVESTIGATION OF RECYCLED SLAG IN SUBMERGED ARC WELDING FOR 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India INVESTIGATION OF RECYCLED SLAG IN SUBMERGED

More information

Prediction of Austenite Formation Temperatures Using Artificial Neural Networks

Prediction of Austenite Formation Temperatures Using Artificial Neural Networks IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Prediction of Austenite Formation Temperatures Using Artificial Neural Networks To cite this article: P Schulze et al 2016 IOP

More information

Brazing of copper to stainless steel with a lowsilver-content

Brazing of copper to stainless steel with a lowsilver-content IOP Conference Series: Materials Science and Engineering OPEN ACCESS Brazing of copper to stainless steel with a lowsilver-content brazing filler metal To cite this article: Tatsuya Fukikoshi et al 2014

More information

3/26/2015. Processes of Arc Welding. Kate Gilland

3/26/2015. Processes of Arc Welding. Kate Gilland 3/26/2015 Processes of Arc Welding Kate Gilland Processes of Arc Welding Introduction Welding is a powerful technological advance. It allows for things to be conjoined that may have not been thought to

More information

THEORY QUESTIONS [60% of paper for weld fatigue]

THEORY QUESTIONS [60% of paper for weld fatigue] 1. THEORY QUESTIONS [60% of paper for weld fatigue] Note, to obtain maximum points for each problem clearly motivate solutions and equations used. Because the students had digital versions of previous

More information

Design for welding: Design recommendations

Design for welding: Design recommendations Design for welding: Design recommendations Arc welding can be used to weld almost any kind of assembly, including even complex structures. Arc weldments use a wide variety of ferrous and non ferrous metals.

More information

304/304L STAINLESS STEEL

304/304L STAINLESS STEEL 304/304L STAINLESS STEEL P R O D U C T D ATA B U L L E T I N Architectural Moldings and Trim Textile Kitchen Equipment Paper Pharmaceutical and Chemical Industry Processing Equipment Applications Potential

More information

UR 2202 is a low nickel, low molybdenum stainless steel designed to match the corrosion resistance of 304L in most environments.

UR 2202 is a low nickel, low molybdenum stainless steel designed to match the corrosion resistance of 304L in most environments. Industeel URANUS 2202 The alternative to 304L UR 2202 is a low nickel, low molybdenum stainless steel designed to match the corrosion resistance of 304L in most environments. Its higher strength allows

More information

Statistical Model to Evaluate the Weldability, Mechanical and metallurgical Properties of the Processes GMAW and FCAW

Statistical Model to Evaluate the Weldability, Mechanical and metallurgical Properties of the Processes GMAW and FCAW , July 2-4, 2014, London, U.K. Statistical Model to Evaluate the Weldability, Mechanical and metallurgical Properties of the Processes GMAW and FCAW Barbedo, N.D., Corrêa, E. O., Castro, C. A. C. Abstract

More information

ANSI/AWS D R An American National Standard. Recommended Practices for Root Pass Welding of Pipe Without Backing

ANSI/AWS D R An American National Standard. Recommended Practices for Root Pass Welding of Pipe Without Backing ANSI/AWS D10.11-87R An American National Standard Recommended Practices for Root Pass Welding of Pipe Without Backing Key WordS Root pass welding, pipe, gas purging, consumable inserts, gas tungsten arc,

More information

The Influence of Grain Size of Dissimilar Welding between Carbon Steel and Stainless Steel on Ultrasonic Testing

The Influence of Grain Size of Dissimilar Welding between Carbon Steel and Stainless Steel on Ultrasonic Testing International Conference on Test, Measurement and Computational Method (TMCM 2015) The Influence of Grain Size of Dissimilar Welding between Carbon Steel and Stainless Steel on Ultrasonic Testing Kwanruethai

More information

Study on Microstructure, Tensile Test and Hardness 316 Stainless Steel Jointed by TIG Welding

Study on Microstructure, Tensile Test and Hardness 316 Stainless Steel Jointed by TIG Welding Study on Microstructure, Tensile Test and Hardness 316 Stainless Steel Jointed by TIG Welding M.sc Halil İbrahim KURT Gaziantep Vocational High School Gaziantep University Gaziantep, 27310, Turkey hiakurt@gmail.com

More information

Multi-layers castings

Multi-layers castings A R C H I V E S of F O U N D R Y E N G I N E E R I N G Published quarterly as the organ of the Foundry Commission of the Polish Academy of Sciences ISSN (1897-3310) Volume 10 Issue 1/2010 181 186 31/1

More information

AWS A4.2M:2006 (ISO 8249:2000 MOD) An American National Standard

AWS A4.2M:2006 (ISO 8249:2000 MOD) An American National Standard An American National Standard Standard Procedures for Calibrating Magnetic Instruments to Measure the Delta Ferrite Content of Austenitic and Duplex Ferritic-Austenitic Stainless Steel Weld Metal Key Words

More information

Finite element analysis of residual stress in the welded zone of a high strength steel

Finite element analysis of residual stress in the welded zone of a high strength steel Bull. Mater. Sci., Vol. 27, No. 2, April 2004, pp. 127 132. Indian Academy of Sciences. Finite element analysis of residual stress in the welded zone of a high strength steel LI YAJIANG*, WANG JUAN, CHEN

More information

Advanced technology for cladding

Advanced technology for cladding Advanced technology for cladding Oil and Gas www.commersald.com Via Labriola,42 41123 Modena - Italy Tel.+ 39 059 822374 Fax+ 39 059 333099 english version The requirements are growing New requirements

More information

Welding performance evaluation of the VBCie IP50 TIG orbital heat management system

Welding performance evaluation of the VBCie IP50 TIG orbital heat management system IIW International Conference High-Strength Materials - Challenges and Applications 2-3July 21, Helsinki, Finland IIW21-1/. Welding performance evaluation of the VBCie IP TIG orbital heat management system

More information

MAG wire. Welding Consumables Selection. MAG MIG wire/rod. Welding Consumables Selection. Specifi cation AWS JIS. Product name

MAG wire. Welding Consumables Selection. MAG MIG wire/rod. Welding Consumables Selection. Specifi cation AWS JIS. Product name Welding Consumables Selection Product name S-4 S-6 Shielding gas Property description Better deoxidation effect than ER70S-3, no charpy impact requirement. Available for single and multipasses, good anti-rust

More information

Kemppi's Reduced Gap Technology (RGT) challenges conventional joint design principles

Kemppi's Reduced Gap Technology (RGT) challenges conventional joint design principles Kemppi Oy Kemppi's Reduced Gap Technology (RGT) challenges conventional joint design principles White paper Jernström, P., Saarivirta, H. & Uusitalo, J. 10.3.2016 White paper 1(6) Reducing the groove angle

More information

CLASSIFICATION OF WELDING DEFECTS IN RADIOGRAPHS USING TRAVERSAL PROFILES TO THE WELD SEAM

CLASSIFICATION OF WELDING DEFECTS IN RADIOGRAPHS USING TRAVERSAL PROFILES TO THE WELD SEAM CLASSIFICATION OF WELDING DEFECTS IN RADIOGRAPHS USING TRAVERSAL PROFILES TO THE WELD SEAM G. X. Padua 1, R. R. Silva 2, M. H. S. Siqueira 2, J. M. A. Rebello 2, L. P. Caloba 2 1 Petrobras, Rio de Janeiro,

More information

PREDICTION MODELLING FOR THE REMAINING USEFUL LIFE OF WORN TURNING OF EN24 STEEL USING REGRESSION AND ANN

PREDICTION MODELLING FOR THE REMAINING USEFUL LIFE OF WORN TURNING OF EN24 STEEL USING REGRESSION AND ANN International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 8, August 2017, pp. 301 310, Article ID: IJMET_08_08_034 Available online at http://www.ia aeme.com/ijmet/issues.asp?jtype=ijmet&vtyp

More information

Austenitic (300 Series) Stainless Steel Filler Metals. Stainless Steel Stick Electrodes, Tubular Wires and Solid Wires

Austenitic (300 Series) Stainless Steel Filler Metals. Stainless Steel Stick Electrodes, Tubular Wires and Solid Wires Austenitic (300 Series) Stainless Steel Filler Metals Stainless Steel Stick Electrodes, Tubular Wires and Solid Wires 1 Tough Enough for the Most Extreme Applications The use of stainless steel is growing

More information

Finite Element Simulation of Thermal Field in Double Wire Welding

Finite Element Simulation of Thermal Field in Double Wire Welding Journal of Materials Science and Chemical Engineering, 2016, 4, 10-21 http://www.scirp.org/journal/msce ISSN Online: 2327-6053 ISSN Print: 2327-6045 Finite Element Simulation of Thermal Field in Double

More information

HYUNDAI WELDING CO., LTD.

HYUNDAI WELDING CO., LTD. Rev. 04 SUBMERGED ARC WELDING CONSUMABLES FOR WELDING OF Mild & 490MPa CLASS HIGH TENSILE STEEL HYUNDAI WELDING CO., LTD. Specification AWS A5.17 F7A0-EH14 KS ISO 14174 S A AR 1 JIS EN Z3352 S A AR 1 /

More information

MicroPulse 302MFK. English

MicroPulse 302MFK. English MicroPulse 302MFK English The Power Source MicroPulse 302MFK Multi Process Portable MIG MAG Synergic MIG MAG Pulse / Double Pulse NEW POWER SOURCE INVERTER MIG MAG SYNERGIC W.ECO Technology Inside POWER

More information

Modern design criteria for stainless steel welding consumables by Vincent van der Mee & Jan Hilkes

Modern design criteria for stainless steel welding consumables by Vincent van der Mee & Jan Hilkes Modern design criteria for stainless steel welding consumables by Vincent van der Mee & Jan Hilkes Lincoln Smitweld bv, the Netherlands, vmee@lincolnelectric.nl jhilkes@lincolnelectric.nl Key words: stainless

More information

Technical Reference on Hydrogen Compatibility of Materials

Technical Reference on Hydrogen Compatibility of Materials Technical Reference on Hydrogen Compatibility of Materials High-Alloy Ferritic Steels: Martensitic Stainless Steels Precipitation Hardening (Fe-Cr-Ni type) (code 1810) Prepared by: C. San Marchi, Sandia

More information

Metallurgical Processes

Metallurgical Processes Metallurgical Processes Chapter Thirty One: Welding Processes Dr. Eng. Yazan Al-Zain Department of Industrial Engineering 1 Introduction Welding processes divide into two major categories: Fusion Welding:

More information

EFFECT OF SHIELDING GASES/ MIXTURES ON PROPERTIES OF SS WELD OVERLAYS ON Cr-Mo STEEL

EFFECT OF SHIELDING GASES/ MIXTURES ON PROPERTIES OF SS WELD OVERLAYS ON Cr-Mo STEEL EFFECT OF SHIELDING GASES/ MIXTURES ON PROPERTIES OF SS WELD OVERLAYS ON Cr-Mo STEEL Jayati Girish a, B.J. Chauhan a, R. H. Madnani b, P. K. Agrawal b, S. Sundaresan a a Dept. of Met. & Matls. Engg., M.S.

More information

DESIGN OF AN EMPIRICAL PROCESS MODEL AND ALGORITHM FOR THE TUNGSTEN INERT GAS WIRE+ARC ADDITIVE MANUFACTURE OF TI-6AL-4V COMPONENTS.

DESIGN OF AN EMPIRICAL PROCESS MODEL AND ALGORITHM FOR THE TUNGSTEN INERT GAS WIRE+ARC ADDITIVE MANUFACTURE OF TI-6AL-4V COMPONENTS. DESIGN OF AN EMPIRICAL PROCESS MODEL AND ALGORITHM FOR THE TUNGSTEN INERT GAS WIRE+ARC ADDITIVE MANUFACTURE OF TI-6AL-4V COMPONENTS Filomeno Martina,a, Stewart W. Williams, Paul Colegrove Welding Engineering

More information

Chapter 30 Fundamentals of Joining. Materials Processing. Topics. MET Manufacturing Processes

Chapter 30 Fundamentals of Joining. Materials Processing. Topics. MET Manufacturing Processes MET 33800 Manufacturing Processes Chapter 30 Fundamentals of Joining Before you begin: Turn on the sound on your computer. There is audio to accompany this presentation. Materials Processing Chapters 11-13

More information

Prediction of Dissolved Oxygen Using Artificial Neural Network

Prediction of Dissolved Oxygen Using Artificial Neural Network 2011 International Conference on Computer Communication and Management Proc.of CSIT vol.5 (2011) (2011) IACSIT Press, Singapore Prediction of Dissolved Oxygen Using Artificial Neural Network Sirilak Areerachakul

More information

The prediction of toughness and strength in high integrity forgings

The prediction of toughness and strength in high integrity forgings The prediction of toughness and strength in high integrity forgings H. Pous-Romero 1, J. Talamantes-Silva 2, S. S. Al-Bermani 2, H. K. D. H. Bhadeshia 1 and B. P. Wynne 3 1 University of Cambridge, UK

More information

Arch. Metall. Mater. 62 (2017), 2B,

Arch. Metall. Mater. 62 (2017), 2B, Arch. Metall. Mater. 62 (2017), 2B, 1319-1323 DOI: 10.1515/amm-2017-0201 C.K. LEE*, Y.C. KIM** # A STUDY ON CHANGES IN THICKNESS OF STS304 MATERIAL IN THE PROGRESSIVE DRAWING PROCESS In the drawing process,

More information

These elements are in carbon steels in minimal amounts, usually less than 1%.

These elements are in carbon steels in minimal amounts, usually less than 1%. Alloy Steels Weld Tech News VOL 1. NO. 11 WELD TECH NEWS is a newsletter for welders working primarily in maintenance and repair. Each issue contains useful information on materials (cast irons, steels,

More information

CITOSTEP. MIG/MAG Step controlled range. A step forward into intuitive welding.

CITOSTEP. MIG/MAG Step controlled range. A step forward into intuitive welding. MIG/MAG Step controlled range A step forward into intuitive welding www.oerlikon-welding.com machines are intelligent MIG/MAG welding installations with voltage switching technology and numerical control

More information

MODELLING AND PREDICTION OF MATERIAL REMOVAL RATE IN ELECTRICAL DISCHARGE DIAMOND SURFACE GRINDING PROCESS OF INCONEL-718

MODELLING AND PREDICTION OF MATERIAL REMOVAL RATE IN ELECTRICAL DISCHARGE DIAMOND SURFACE GRINDING PROCESS OF INCONEL-718 5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India MODELLING AND PREDICTION OF MATERIAL REMOVAL

More information

MECHANICAL PROPERTIES OF ALUMINUM WELDS FOR AUTOMOTIVE STRUCTURAL APPLICATIONS

MECHANICAL PROPERTIES OF ALUMINUM WELDS FOR AUTOMOTIVE STRUCTURAL APPLICATIONS MECHANICAL PROPERTIES OF ALUMINUM WELDS FOR AUTOMOTIVE STRUCTURAL APPLICATIONS Jennifer Hyde Supervisor: Dr. McDermid MATLS 701 Seminar Feb 17, 2012 Outline 2 Motivation Background/Literature Review Project

More information

LOW HEAT INPUT WELDING ALLOYS

LOW HEAT INPUT WELDING ALLOYS ASTRALOY 662 CHARACTERISTICS: An all position AC/DC electrode for high strength, crack free joining of low/medium carbon, and medium tensile steels of various compositions. Low alloy medium carbon steels,

More information

PART UF REQUIREMENTS FOR PRESSURE VESSELS FABRICATED BY FORGINGS

PART UF REQUIREMENTS FOR PRESSURE VESSELS FABRICATED BY FORGINGS p 1 of 6 UF-1 UF-12 PART UF REQUIREMENTS FOR PRESSURE VESSELS FABRICATED BY FORGING the test temperature be higher than 20 F ( 29 C). Certification is required. An ultrasonic examination shall be made

More information

STUDIES ON MICROSTRUCTUREAND MECHANICAL PROPERTIES OFMODIFIED LM25 ALUMINIUM ALLOY

STUDIES ON MICROSTRUCTUREAND MECHANICAL PROPERTIES OFMODIFIED LM25 ALUMINIUM ALLOY STUDIES ON MICROSTRUCTUREAND MECHANICAL PROPERTIES OFMODIFIED LM25 ALUMINIUM ALLOY Venkatachalam G 1, Kumaravel A 2,Arun Kumar N 3, Dhanasekaran Rajagopal 4 1,2,4 Department of Mechanical Engineering,

More information