Authors Pappu Kumar 1, Prof. Prakash Kumar 2 1 Post Graduate Scholar, Deptt. of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India.
|
|
- Meryl Melton
- 6 years ago
- Views:
Transcription
1 Volume 4 Issue 11 November-2016 Pages ISSN(e): Website: DOI: Optimization of Parameter (Mig ) Using Taguchi Method Authors Pappu Kumar 1, Prof. Prakash Kumar 2 1 Post Graduate Scholar, Deptt. of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India. 2 Assistant Professor, Deptt. Of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India pappubitsindri104@gmail.com, 2 rawatprakash3671@gmail.com ABSTRACT Metal Inert Gas welding (MIG) process is an important component in many industrial operations. The GMA weldingparameters are the most important factors affecting the quality, productivity and cost of welding. This paper presents theinfluence of welding parameters like welding current (Amp.), welding voltage (Volt.), &Wire Feed Rate (m/min) on Tensile strength. A plan of experiments based on Taguchi Method has been used to acquire the data. AnOrthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate the weldingcharacteristics of mild steel& optimize the welding parameters. Finally the conformations tests have been carried outto compare the predicated values with the experimental values confirm its effectiveness in the analysis of Tensile Strength. Keywords:MIG, Tensile Strength, Taguchi Method, Analysis of Variance (ANOVA) 1. INTRODUCTION Metal Inert Gas welding is one of the most widely used processes in industry. The input parameters play a very significant role in determining the quality of a welded joint. In fact, weld geometry directly affects the complexity of weld schedules and thereby the construction and manufacturing costs of steel structures and mechanical devices. Therefore, these parameters affecting the arc and welding should be estimated and their changing conditions during process must be known before in order to obtain optimum results; in fact a perfect arc can be achieved when all the parameters are in conformity. These are combined in two groups as first order adjustable and second order adjustable parameters defined before welding process [1]. Former are welding current (Amp.), welding voltage (Volt.), & Wire Feed Rate (m/min). These parameters will affect the weld characteristics to a great extent. Because these factors can be varied over a large range, they are considered the primary adjustments in any welding operation. Their values should be recorded for every different type of weld to permit reproducibility. 2. EXPERIMENTAL PROCEDURE Accordingly the present study has been done through the following plan of experiment. a) The workpiece required for the experiment is prepared in workshop using lathe mahine. b) The prepared workpieces was cut into two pieces and V- groovewas made on the edge of the workpieces. c) Performed welding operation on specimens in various welding environments involving various combinations of process control parameters like: welding current, welding voltage and wire feed rate Process Variablesand Their Limits The working ranges of the parameters for subsequent design of experiment, based on Taguchi s L9 Orthogonal Array (OA) design have been selected. In the present experimental study, welding current, Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6053
2 welding voltage and wire feed rate have been considered as process variables. The process variables with their units (and notations) are listed in Table 3. Table No Process variables and their values SL NO Table No Taguchi s L 9 orthogonal array (Amp.) (A) Voltage (volt.) (B) Wire Feed Rate (m/min.) (C) (Amp.) Voltage (volt.) Wire Feed Rate (m/min.) In the present thesis work, the work material used for present work is mild steel, the dimensions of the work piece length 300 mm, width 25mm, thickness 5mm. The chemical composition of the material is given below: Table-2.3 Chemical Composition description of the workpiece C% Mn% Si% S% P% Cr% Ni% Mo% W% V% Fig. 2.1 workpiece material 2.2 Equipments used: Following machines were used during my whole experiments: 1) Grinding machine Low carbon steel with the dimensions of 150x25x5 mm is prepared with the bevel heights of 5 millimeter, bevel angle of These specimens are then welded with a root gap distance 1 millimeter. Figure shows the single V groove butt joint preparations. Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6054
3 Figure 2.2 Sample specimens with bevel angle of 45 0 After preparation, plates are placed on the workbench. In each placement, distance between the nozzle and workpiece and the electrode extension were 20 and 10 millimeter, respectively. The welding electrode is held perpendicular to the welding surface. is started and the flow rate of shielding gas is adjusted by using knob. The plates were welded at single pass. Fig.2.3 Grinding cutter Fig. 2.4 Workpiecs after V-Groove preparation 2) MIG 400 Machine :- Two pieces welded with the help of MIG 400 welding machine. (i) Filler metal: The filler material use for the experiment is copper coated MS material electrodes with size of 0.8 mm diameter. (ii) Shielding Gas: A shielding gas is selected for the experiments. It contains 100% CO2 Fig. 2.5 Workpiece after MIG welding Fig.2.6 MIG 400 welding machine 3) Ultimate Tensile strength measurement Tensile testing was done using ASME Section IX-2004 standards. The equipment used was a UTM Machine with a maximum capacity of 1000 kn. The welded specimen was prepared according to the procedures given in ASME Section ix-2004 and typical dimensions of the specimen are shown below in Figure 2.8. Fig. 2.7 Universal Testing Machine Fig.8 Tensile Testing specimen Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6055
4 2.3. Data Collection Performing the above programme nine times by varying the values of WC, WV and WFR, we collected following data: Table 2.4. Results of Tensile strength obtained from experiment SL No (Amp) (A) Voltage (Volt) (B) Wire feed rate(m/min) (C) Tensile strength KN 3. RESULTS&DISCUSSION All the experimental results are analyzed by a power full statistical tool named Minitab software of latest version 17. First of all the input parameters are defined in the software as per their corresponding value and then give the responses data to optimize. Here, the main objective of the problem is to maximize the Tensile Strenght. So, the criterion of Larger-The-Better is adopted for the optimization of Tensile Strenght. 3.1 Analysis of Tensile strength Observing all the nine experiments and the applying Taguchi method on the result using minitab-17, we can draw the following table describing the S/N ratio and mean for the tensile strength. Table-3.1 Experimental results for Tensile Strength and corr. S/N ratio and mean Trial no (Amp.) Voltage (volt.) Wire Feed Rate (m/min.) Tensile Strength S/N ratio Table-3.2 Response table for S/N ratio for Tensile Strength (Larger-the-better) Level (Amp.) Voltage (volt.) Wire Feed Rate (m/min.) Delta Rank Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6056
5 The main effect plot for the S/N ratio for tensile strength is plotted below: Fig.3.1Taguchi Analysis: Main effect plot for S/N ratio for Tensile Strength Hence, from the graph, it can be seen that the optimum welding parameter can be obtained by points or values of parameters having the peak position in the graph. Therefore Factor levels for predictions. Table-3.3. Predicted values of parameters for Tensile Strength Parameters (Amp.) Voltage (volt.) Wire Feed Rate (m/min.) Optimum value The above combination of the values of the welding parameters is going to provide the maximum tensile strength Anova and effects of parameters on Tensile Strength Analysis of variance (Anova) was used to determine the design parameters significantly influencing the tensile strength (response). The table shows the results of Anova for tensile strength. This analysis was evaluated for a confidence level of 95%, that is for significance level of = 0.05(6). Table-3.4. ANOVA result for surface roughness Source DF AdjSS AdjMS Spindle speed Feed rate Depth of cut F- Value P- Value Error Total Notes: DF, Degrees of freedom; Adj SS, Adjusted sum of squares; Adj MS, Adjusted mean Squares. S= , R-sq= 97.50%, R-sq= 90.01%, R-sq(pred)= 49.45% It can be observed from the results obtained in the table current was the most significant parameter having the highest statistical influence (P= 0.048) and the voltage(p= 0.51) followed by wire feed rate. (P= 0.650).The coefficient of determination (R 2 ) is defined as the ratio of the explained variation to the total variation. It is a measure of the degree of the fit. When R 2 approaches unity a better response model results and it fits the actual data. The value of R 2 calculated for this model was 0.95, i.e., very close to unity, and thus acceptable. Thus, it is conferred that this model provides reasonably good explanation of the relationship between the independent factors and the response. Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6057
6 3.3. The confirmation Test for tensile strength Since the optimal level of the process parameters has been selected, the final step is to predict and verify the improvement of the tensile strength using the optimal setting of the process parameters. The estimated S/N ratios for the tensile strength using the optimal combination were determined by Minitab- 17 software. The calculated results are shown in Table. Table No Confirmation test result SL NO (Amp) voltage (Volt) Wire feed rate m/min Predicated S/N Ratio Experimental S/N Ratio CONCLUSIONS This paper has presented an application of parameter design of the taguchi method in the optimization of Mig welding operations. The following conclusions can be drawn based on the experimental results of this study: It is also found that the different parametric design based on the Taguchi method provides a simple, systematic and efficient methodology for the optimization of the Mig welding parameters (previously confirmed by many other researchers). P-values obtained for the various factors, the Based on this experiment and ANOVA analysis, it can be concluded that welding current and welding voltage are the main parameters among the three controllable factors (welding current, welding voltage, wire feed rate) that influence tensile strength during Mig welding. The reason behind this is that among the different value is minimum for the welding current i.e followed by that for welding voltage (0.051). When we looking for higher tensile strength, welding current (150 amp.), higher welding voltage (19 volt.) and higher wire feed rate (5m/min.) can be employed to get optimized result. 5. REFERENCE 1. Sapakal.s.v, Telsang work on Parametric Optimization of MIG Using Taguchi Design Method (2012). 2. SivasakthivelK et al. works on Optimization of Parameter in MIG bytaguchi Method (2015). 3. ChavdaSatyaduttsinh P., DesaiJayesh V, PatelTushar M.investigationA Review on Optimization of MIG Parameters using Taguchi s DOE Method (2014). 4. S. V. Sapakal¹, M. T. TelsangParametric OptimizationofMIG Using Taguchi Design Method (2012). Pappu Kumar, Prof. Prakash Kumar IJSRE Volume 4 Issue 11 November 2016 Page 6058
MIG WELDING PARAMETRIC OPTIMIZATION USING TAGUCHI S ORTHOGONAL ARRAY AND ANALYSIS OF VARIANCE
MIG WELDING PARAMETRIC OPTIMIZATION USING TAGUCHI S ORTHOGONAL ARRAY AND ANALYSIS OF VARIANCE Amit Pal Mechanical Department, AIMT, Karnal, Haryana, India Email: Er.amit.pal31@gmail Abstract The MIG welding
More informationOriginal Research Article
PREDICTION OF TIG AND MIG WELDING PARAMETER BY COMPARISON OF HARDNESS Shashikant Rai, Dr. Lokesh Singh Production Engineering, GD Rungta college of Engineering and Technology Bhilai, India ISSN No. 2455-5800
More informationParameters Optimization for Gas Metal Arc Welding of Austenitic Stainless Steel (AISI 304) & Low Carbon Steel using Taguchi s Technique
International Journal of Engineering and Management Research, Vol.-3, Issue-4, August 2013 ISSN No.: 2250-0758 Pages: 18-22 www.ijemr.net Parameters Optimization for Gas Metal Arc Welding of Austenitic
More informationDEVELOPING A BEAD GEOMETRY BASED CRITERION FOR SELECTION OF PROCESS PARAMETERS OF METAL INERT GAS (MIG) WELDING USING TAGUCHI TECHNIQUES
DEVELOPING A BEAD GEOMETRY BASED CRITERION FOR SELECTION OF PROCESS PARAMETERS OF METAL INERT GAS (MIG) WELDING USING TAGUCHI TECHNIQUES MALLIKARJUN KADANI, DR.G.K PUROHIT M.Tech. (Prod Engg) Student,
More informationOptimization of bead geometry parameters of bead-on-plate weldments prepared by submerged arc welding using Taguchi Technique
International Journal of Engineering Research and Development ISSN: 2278-067X, Volume 1, Issue 10 (June 2012), PP.09-15 www.ijerd.com Optimization of bead geometry parameters of bead-on-plate weldments
More informationExperimental Analysis on TIG welding process parameters of dissimilar metals SS304-SS202 using Taguchi Method
International Journal of Engineering and Manufacturing Science. ISSN 2249-3115 Volume 7, Number 2 (2017), pp. 249-258 Research India Publications http://www.ripublication.com Experimental Analysis on TIG
More informationInternational Journal of Scientific & Engineering Research, Volume 6, Issue 4, April ISSN
International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 269 Effect of Flux Cored Arc Welding Process Parameters on Weld Bead Geometry Rajavelu.S 1, Senthilkumar.B 2, T.Kannan
More informationOptimisation of process parameters of A-TIG welding for penetration and hardness of SS 304 stainless steel weld
Volume: 05 Issue: 10 Oct 2018 www.irjet.net p-issn: 2395-0072 Optimisation of process parameters of A-TIG welding for penetration and hardness of SS 304 stainless steel weld Aakanksha Jadhav 1, Prof. K.
More informationEffect of Process Parameters in MIG Welding on Mild Steel IS 2062
Effect of Process Parameters in MIG Welding on Mild Steel IS 262 R.SUDARSHAN 1, Dr. M.Devaiah 2, 1, 2 Geethanjali College of Engineering and Technology, Cheeryal (V), Keesara (M), Medchal, Telangana, India.
More informationOPTIMIZATION OF TIG WELDING PARAMETERS FOR MAXIMIZING WELDS STRENGTH OF TI 6AL 4V CRUCIFORM SHAPE JOINT
International J. of Engg. Research & Indu. Appls. (IJERIA). ISSN 0974-58, Vol.9, No. II (August 06), pp. -6 OPTIMIZATION OF TIG WELDING PARAMETERS FOR MAXIMIZING WELDS STRENGTH OF TI 6AL 4V CRUCIFORM SHAPE
More informationOPTIMIZATION OF WELDING PARAMETER ON AA2014 IN GMAW
OPTIMIZATION OF WELDING PARAMETER ON AA2014 IN GMAW P.Venkadeshwaran 1*, R.Sakthivel 1, R.Sridevi 1, R.Ahamed Meeran 1, K.Chandrasekaran 1 1 Department of Mechanical Engineering, Nadar Saraswathi College
More informationExperimental Analysis of TIG Welding of Stainless Steel 304 using Grey Taguchi Method
Experimental Analysis of TIG Welding of Stainless Steel 304 using Grey Taguchi Method Surender Singh 1, Mandeep Singh 2, Vinod Kumar 3 1 M. Tech Scholar, 2 Assistant Prof. Dept. of M E OITM Juglan (Hisar),
More informationParametric Optimization of MIG Welding Using Taguchi Method
Parametric Optimization of MIG Welding Using Taguchi Method Mohammad Azharuddin M.Tech, Dept of Mechanical Engineering, AVN Institute of Engineering & Technology, Hyderabad, T.S, India. ABSTRACT: Welding
More informationOptimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique
RESEARCH ARTICLE OPEN ACCESS Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique *Naresh Kumar, **Himanshu Tripathi, ***Sandeep Gandotra *Assistant Professor,
More informationMICROSTRUCTURE CHARACTERISTICS & MECHANICAL PROPERTIES OF DISSIMILAR TIG WELD BETWEEN STAINLESS STEEL AND MILD STEEL
International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 7, July 2017, pp. 1739 1747, Article ID: IJMET_08_07_192 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=8&itype=7
More informationEFFECT OF PROCESS PARAMETERS ON MATERIAL REMOVAL RATE OF WEDM FOR AISI D7 TOOL STEEL
International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN(P): 2249-6890; ISSN(E): 2249-8001 Vol. 4, Issue 2, Apr 2014, 99-106 TJPRC Pvt. Ltd. EFFECT OF PROCESS
More informationOptimization of Process Parameters of Submerged Arc Welding
Optimization of Process Parameters of Submerged Arc Welding B.P.Kurpatwar 1, D.S Pimpalgaonkar 2 1PG scholar M.G.M College Of Engineering Nanded, E-mail:balaprasadkurpatwar@gmail.com. 2 Assistant Professor,
More informationIJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 09, 2015 ISSN (online):
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 09, 2015 ISSN (online): 2321-0613 Selection of Optimal Process Parameters in Machining Aerospace Material by Wire Electric
More informationAnalysis of Process Parameters of Non Polluted WEDM
Analysis of Process Parameters of Non Polluted WEDM Gagan Goyal Assistant Professor, Department of Mechanical Engineering, Madhav University, Pindwara (Sirohi) E-mail: goyal.gagan1987@gmail.com Abstract
More informationA Review on different optimization techniques used to optimize the process parameters of Resistance spot welding
A Review on different optimization techniques used to optimize the process parameters of Resistance spot welding Kamran Rasheed 1, Dr. M.I.Khan 2 1 Assistant professor, Mechanical engineering, Integral
More informationA Review on Parametric Optimization of GMAW Process
A Review on Parametric Optimization of GMAW Process Effect of Welding speed, Welding current, Arc voltage and Wire feed rate on Bead geometry & Bead hardness 1 Ketan C. Parmar, 2 Jayesh V. Desai, 3 Tushar
More informationComparative Study of Gas Metal Arc Welding (GMAW) and Gas Tungsten Arc Welding (GTAW) for Aluminium Alloy 3003-H2 Using Taguchi Method
International Journal of Research and Scientific Innovation (IJRSI) Volume V, Issue V, May 08 ISSN 70 Comparative Study of Gas Metal Arc Welding (GMAW) and Gas Tungsten Arc Welding (GTAW) for Aluminium
More informationOptimization of Gas Metal Arc Welding Process Parameters
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Optimization of Gas Metal Arc Welding Process Parameters To cite this article: Amit Kumar et al 2016 IOP Conf. Ser.: Mater. Sci.
More informationTaguchi Optimization of TIG Welding for Maximizing Weld Strength of Aluminium 8011
Taguchi Optimization of TIG Welding for Maximizing Weld Strength of Aluminium 8011 A.Sivasankaran 1 P.G. Student, Department of Mechanical Engineering, KSR Institute for, Tiruchengode, Tamilnadu, India
More informationExperimental Study to Increase the Life of Welding Nozzle
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 13, Issue 6 Ver. III (Nov. - Dec. 2016), PP 05-09 www.iosrjournals.org Anuj Mehta, Khushal Diddee,
More informationOptimising 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 informationExperimental investigation of GMAW process on SA387 pressure vessel material
Experimental investigation of GMAW process on SA387 pressure vessel material I.Justinantony raj 1, Dr.R.Narayanasamy 2, Dr.M.Durai selvam 3, N.Santhosh kumar 4 1 4 Assistant Professor, UG Scholar,Department
More informationMulti-response Optimization of Process Parameters of TIG Welding for Dissimilar Metals (SS-304 and Fe-410) using Grey Relational Analysis
Multi-response Optimization of Process Parameters of TIG Welding for Dissimilar Metals (SS-304 and Fe-410) using Grey Relational Analysis Ashishkumar Wahule 1, Prof. Kushal Wasankar 2 1PG Student, Mechanical
More informationParametric Optimization of Resistance Spot Welding Process
2016 IJSRSET Volume 2 Issue 3 Print ISSN : 2395-1990 Online ISSN : 2394-4099 Themed Section: Engineering and Technology Parametric Optimization of Resistance Spot Welding Process Sainath R Ghuge *1, Prashant
More informationParametric Optimization of Electric Discharge Drill Machine using Taguchi and ANOVA Approach
Parametric Optimization of Electric Discharge Drill Machine using Taguchi and ANOVA Approach 1M.Tech Student, Dept of Mechanical Engg, KIT Kanpur, Uttar Pradesh, India 2Professor, Dept of Mechanical Engg,
More informationTAGUCHI BASED OPTIMIZATION OF CUTTING PARAMETERS ALUMINIUM ALLOY 6351 USING CNC
TAGUCHI BASED OPTIMIZATION OF CUTTING PARAMETERS ALUMINIUM ALLOY 6351 USING CNC Mahendra Singh 1, Amit Sharma 2, Deepak Juneja 3, Anju Chaudhary 4 1 Assistant Professor, Department of Mechanical Engg,
More informationOptimization of Process Parameters for Surface Roughness and Material Removal Rate for SS 316 on CNC Turning Machine
Optimization of Process Parameters for Surface Roughness and Material Removal Rate for SS 316 on CNC Turning Machine NAVNEET K. PRAJAPATI Department of Mechanical Engineering, S.P.B.Patel Engineering College
More informationOptimization 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 informationExperimental Investigation of MIG welding for AISI 1020 low carbon steel by using Taguchi method
Experimental Investigation of MIG welding for AISI 1020 low carbon steel by using Taguchi method The Effect of Metal inert gas (MIG) processes on different welding parameters 1 Sachin H. Patel, 2 Jayesh
More informationParametric 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 informationEffect of Titanium powder addition on hardness in submerged arc welding
International Journal of Latest Research in Engineering and Technology (IJLRET) ISSN: 454-50 ǁ Volume Issue ǁ January 0 ǁ PP 8-4 Effect of Titanium powder addition on hardness in submerged arc welding
More informationOPTIMIZATION OF PARAMETERS FOR GAS METAL ARC WELDING OF MILD STEEL USING TAGUCHI S TECHNIQUE Monika 1 Jagdip Chauhan 2
OPTIMIZATION OF PARAMETERS FOR GAS METAL ARC WELDING OF MILD STEEL USING TAGUCHI S TECHNIQUE Monika 1 Jagdip Chauhan 2 1 M.Tech Student, 2 Assistant Professor 1,2 Department of Mechanical Engineering 1,2
More informationPARAMETRIC OPTIMIZATION IN TIG WELDING BY TAGUCHI APPROACH OF (LOW CARBON STEEL) AISI 304
PARAMETRIC OPTIMIZATION IN TIG WELDING BY TAGUCHI APPROACH OF (LOW CARBON STEEL) AISI 304 Praveen Dange 1, Prof Sunil J Mangshetty 2, Department-of-Mechanical-Engineering 1 Post Graduate student, Poojya
More informationJNTUH College of Engineering Hyderabad, Kukatpally, India, * **
Journal of Mechanical Engineering Research and Developments ISSN: 1024-1752 Website: http://www.jmerd.org Vol. 41, No. 1, 2018, pp. 86-96 An Experimental Investigation of Process Parameters of Tungsten
More informationThe Study of Physical Properties & Analysis of Machining Parameters of EN25 Steel In-Situ Condition & Post Heat Treatment Conditions
The Study of Physical Properties & Analysis of Machining Parameters of EN25 Steel In-Situ Condition & Post Heat Treatment Conditions Amit Dhar 1, Amit Kumar Ghosh 2 1,2 Department of Mechanical Engineering,
More informationOptimization of GTAW Process Parameters on Aluminum Alloy 6063 on Taguchi Method.
Optimization of GTAW Process Parameters on Aluminum Alloy 03 on Taguchi Method. Mr. S.Sethuraman 1, Mr. D.Balaji 2, Dr. V.Sivaramakrishnan 3, Mr. M.Sudhahar 1PG Scholar, Sri RaraRaajan College of Engineering
More informationCHAPTER 5 INVESTIGATION ON DRILLING CHARACTERISTICS OF HYBRID COMPOSITES
CHAPTER 5 INVESTIGATION ON DRILLING CHARACTERISTICS OF HYBRID COMPOSITES 5.1 Introduction This chapter presents the experimental work carried out with different cutting parameters in drilling to evaluate
More informationOptimization of Process Parameters of Aluminium alloy 8011 in Wire cut Electrical Discharge Machining (WEDM) using Taguchi and ANOVA
Volume 120 No. 6 2018, 8155-8164 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ http://www.acadpubl.eu/hub/ Optimization of Process Parameters of Aluminium alloy 8011 in Wire cut Electrical
More informationApplication of Taguchi Method for Optimizing Material Removal Rate in Turning of En-47 Spring Steel
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 Application of Taguchi Method for Optimizing
More informationEFFECT OF ELECTRODE STICK OUT ON QUALITY AND PERFORMANCE OF SUBMERGED ARC WELDMENT- EXPERIMENTAL AND STATISTICAL ANALYSES
Proceedings the International Conference on Mechanical Engineering 2005 (ICME2005) 28-30 December 2005, Dhaka, Bangladesh ICME05- EFFECT OF ELECTRODE STICK OUT ON QUALITY AND PERFORMANCE OF SUBMERGED ARC
More informationEFFECT OF FILLER ELECTRODES ON MICROSTRUCTURE AND MECHANICAL PROPERTIES OF DISSIMILAR WELD SS 316L AND SDSS 2507
International Research Journal of Engineering and Technology (IRJET) e-issn: 2395-56 Volume: 3 Issue: 7 July-26 www.irjet.net p-issn: 2395-72 EFFECT OF FILLER ELECTRODES ON MICROSTRUCTURE AND MECHANICAL
More information[Kathuria*, 5(1): January, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY EFFECT OF TITANIUM POWDER ADDITION ON TENSILE STRENGTH IN SUBMERGED ARC WELDING Atul Kathuria*, Deepak Gupta Student M.tech (mechanical(i&p)
More informationOptimization of Drilling Parameters by Using Taguchi Method Research Paper
Optimization of Drilling Parameters by Using Taguchi Method Research Paper Bhushan Dambale [1], Saurabh Aher [2], Gokul Phad [3], Kajal Kuyate [4], Abhijit Sonawane [5] 1 Bhushan Dambale, Student, Department
More informationExperimental Study of Machining Characteristics of C 45 Steel using Electro Discharge Machining
International Journal of Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Research Article Experimental
More informationEXPERIMENTAL 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 informationEFFECT OF WIRE EDM PROCESS PARAMETERS ON SURFACE ROUGHNESS
Research Paper ISSN 2278 0149 www.ijmerr.com Vol. 3, No. 2, April, 2014 2014 IJMERR. All Rights Reserved EFFECT OF WIRE EDM PROCESS PARAMETERS ON SURFACE ROUGHNESS Nimo Singh Khundrakpam 1 *, Jasvir Singh
More informationApplication of Response Surface Methodology for Element Transfer in Submerged Arc Welding using Recycled Slag
Application of Response Surface Methodology for Element Transfer in Submerged Arc Welding using Recycled Slag Deepanjali Nimker, Devender Kumar 2,2 Department of Mechanical, production and industrial Engineering,
More informationPrediction and Optimization of Weld Bead Volume for the Submerged Arc Process Part 1
Prediction and Optimization of Weld Bead Volume for the Submerged Arc Process Part 1 The main and interaction effects of the process-control variables on important bead geometry parameters were determined
More informationINTERNATIONAL JOURNAL OF PRODUCTION TECHNOLOGY AND MANAGEMENT (IJPTM)
INTERNATIONAL JOURNAL OF PRODUCTION TECHNOLOGY AND MANAGEMENT (IJPTM) International Journal of Production Technology and Management (IJPTM), ISSN 0976 68 (Print), ISSN 0976 69 (Online) Volume, Issue, January
More informationA Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS A Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology
More informationOptimization of Cutting Parameters for surface roughness and MRR in CNC Turning of 16MnCr5
Optimization of Cutting Parameters for surface roughness and MRR in CNC Turning of 16MnCr5 Jitendra Kumar Verma M. Tech Student, Department of Mechanical Engineering, Geeta Engineering College, Panipat,
More informationExperimental Analysis and Parametric Optimization of 6065-Aluminium Alloy in Rotary Friction Welding
International Journal of Advanced Mechanical Engineering. ISSN 2250-3234 Volume 8, Number 1 (2018), pp. 111-118 Research India Publications http://www.ripublication.com Experimental Analysis and Parametric
More informationA Comparative Optimization on Process Parameters of Wire Electrical Discharge Machining of Inconel-690 using Taguchi method
A Comparative Optimization on Process Parameters of Wire Electrical Discharge Machining of Inconel-690 using Taguchi method 1 Raju Kumar Thakur, 2 Dr. N. Selvaraj 1,2 Dept. of Mechanical Engineering, National
More informationOPTIMIZATION 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 informationOptimization of turning process parameters for AISI 410 Steel using Taguchi method
Optimization of turning process parameters for AISI 410 Steel using Taguchi method 1 Mahadev Naik, 2 Ashish Gorule, 3 Anil Ajgaonkar, 4 Tejas Dudye, 5 Tushar Chavan 1 Assistant Professor, FAMT, 2, 3, 4
More informationOptimization process parameter of submerged arc welding by using ANOVA method
Optimization process parameter of submerged arc welding by using ANOVA method Mr. Chetan Kumar Bagde 1, Mr. Shridev Tamrakar 2, Mr. Lokesh singh 3 1,2,3 Department of Mechanical Engineering, GDRCET, Bhilai,.
More informationOPTIMIZATION OF PROCESS PARAMETERS OF FRICTION STIR WELDED JOINT BY USING TAGUCHI METHOD
OPTIMIZATION OF PROCESS PARAMETERS OF FRICTION STIR WELDED JOINT BY USING TAGUCHI METHOD Vanita S.Thete Department o Mechanical Engg,, S.V.I.T COE,Nashik Prakash. N. Wakchaure Department o Mechanical Engg,,
More informationInvestigation of Process Parameters during MIG Welding of AISI1010 Mild Steel Plates
Investigation Process Parameters during MIG Welding AISI1010 Mild Steel Plates Srivani Valluru 1, K.Aruna 2, Dr. P. Hema 3 1 PG Student, Department Mechanical Engineering, S.V. University College Engineering,
More informationEffect of Welding Parameters on the Strength of Butt Weld Joint using TIG Welding
Effect of Welding Parameters on the Strength of Butt Weld Joint using TIG Welding Nerella. Kranthi Teja 1, Dr. B. Amar Nagendram 2 1 Post Graduate student, Department of Mechanical Engineering (M. Tech.
More informationOPTIMIZATION AND ANALYSIS OF PROCESS PARAMETER FOR TUNGSTEN INERT GAS WELDING BASED ON TAGUCHI METHOD
OPTIMIZATION AND ANALYSIS OF PROCESS PARAMETER FOR TUNGSTEN INERT GAS WELDING BASED ON TAGUCHI METHOD P.Shashidar 1, P.Laxminagaprasad 2,U.Anil Kumar 3 1 Mechanical Engineering, MIGT 2 Mechanical Engineering,
More informationInvestigation of Hot Machining Process on Oil Hardened Non Shrinking Steel Using TiAlN Coated Carbide Tool
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 14, Issue 3 Ver. IV. (May. - June. 2017), PP 35-42 www.iosrjournals.org Investigation of Hot Machining
More informationOptimization Of Process Parameter In Hardfacing By Shield Metal Arc Welding (SMAW)
Optimization Of Process Parameter In Hardfacing By Shield Metal Arc Welding (SMAW) A.K.Rude 1, Mr. D.S. Pimpalgaonkar 2 1 Student, M.E.(MPE.) 2 Assistant Professor MGM S COE, Nanded ---------------------------------------------------------------------***--------------------------------------------------------------------
More informationAssessment of Deposition Rate in MIG Welding of Stainless Steel
International Journal of Research in Advent Technology, Vol., No.3, March E-ISSN: 3-93 Assessment of in MIG Welding of Stainless Steel Rajiv Suman and Dr. Jatindar Kumar Mechanical Engineering Department,
More informationPalani.P.K 1, Saju.M 2, Associate Professor 1, PG Scholar 2 Department of Mechanical Engineering, Government College of Technology, Coimbatore.
Modelling And Optimization Of Process Parameters For Tig Of Aluminium-65032 Using Response Surface Methodology Palani.P.K 1, Saju.M 2, Associate Professor 1, PG Scholar 2 Department of Mechanical Engineering,
More informationOptimization of WEDM Process Parameters on Duplex 2205 steel using Grey Relational Analysis
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Optimization of WEDM Process Parameters on Duplex 2205 steel using Grey Relational Analysis Naresh Kumar T 1, Naveen Krishna C 2
More informationPerformance Analysis of Wire Electric Discharge Machining (W-EDM)
Performance Analysis of Wire Electric Discharge Machining (W-EDM) ATUL KUMAR and DR.D.K.SINGH Mechanical Engineering Department Madan Mohan Malaviya Engineering College Gorakhpur U.P. India 2730 Abstract
More informationMachining Behavior of En24 and En36c Steels
Machining Behavior of En24 and Enc Steels Nikhil Bharat, Vishal Mishra 2, Dr Kalyan Chakraborty 3,2 M.Tech (Mechanical) Student, Department of Mechanical Engineering National Institute of Technology, Silchar,
More informationExperimental 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 informationInfluences of Process Parameters on Heat Affected Zone in Submerged Arc Welding of Low Carbon Steel
American Journal of Materials Science 2016, 6(4A): 102-108 DOI: 10.5923/c.materials.201601.20 Influences of Process Parameters on Heat Affected Zone in Submerged Arc Welding of Low Carbon Steel Sailender
More informationExperimental Analysis of Plasma Arc Cutting Process for SS 316l Plates
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X PP. 75-80 www.iosrjournals.org Experimental Analysis of Plasma Arc Cutting Process for SS 316l Plates S.
More informationOPTIMIZATION OF WELDING PARAMETERS OF GTAW USING RESPONSE SURFACE METHODOLOGY
U.P.B. Sci. Bull., Series D, Vol. 79, Iss. 3, 2017 ISSN 1454-2358 OPTIMIZATION OF WELDING PARAMETERS OF GTAW USING RESPONSE SURFACE METHODOLOGY Sanjay KUMAR 1, Pravin K SINGH 2, D PATEL 3, Shashi B PRASAD
More informationDevelopment of Small Domestic Wind Turbine Tower and Blades Systems: An Optimization Approach
Development of Small Domestic Wind Turbine Tower and Blades Systems: An Optimization Approach Dr. Sachin Modgil Symbiosis Institute of Operations Management, Nashik Abstract The design of experiment has
More informationPERFORMANCE EVALUATION OF WIRE ELECTRO DISCHARGE MACHINING ON D3-TOOL STEEL C. Thiagarajan 1, M.Sararvanan 2, J.Senthil 3 1, 2, 3
Volume 118 No. 5 2018, 943-949 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu PERFORMANCE EVALUATION OF WIRE ELECTRO DISCHARGE MACHINING ON D3-TOOL
More informationParameter optimization of Electro Discharge Machine of AISI 304 Steel by using Taguchi Method.
Parameter optimization of Electro Discharge Machine of AISI 304 Steel by using Taguchi Method. Kapil Banker 1, Ujjval Prajapati 2, Jaimin Prajapati 3, Paras Modi 4 1 Assistant Professor, 2, 3, 4 UG Scholars
More informationEffect of Process Parameters on Weld Penetration Shape Factor in ASAW Based Surfacing
Effect of Process Parameters on Weld Penetration Shape Factor in ASAW Based Surfacing Hari Om 1, Sunil Pandey 2 Associate Professor, Department of Mechanical Engineering, YMCA University of Science & Technology,
More informationEffect of machining parameters on surface roughness in EDM of AISI H 13 steel
Scientific Journal of Impact Factor(SJIF):.4 e-issn(o): 48-4470 p-issn(p): 48-6406 International Journal of Advance Engineering and Research Development Volume,Issue, January -05 Effect of machining parameters
More informationDevelopment 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 informationOPTIMIZATION OF PROCESS PARAMETERS FOR TUNGSTEN INERT GAS (TIG) WELDING TO JOIN A BUTT WELD BETWEEN STAINLESS STEEL (SS 304) AND MILD STEEL (MS 1018)
OPTIMIZATION OF PROCESS PARAMETERS FOR TUNGSTEN INERT GAS (TIG) WELDING TO JOIN A BUTT WELD BETWEEN STAINLESS STEEL (SS 304) AND MILD STEEL (MS 1018) D. Bahar Assistant Prof., Dept. of Mechanical Engineering,
More informationCHAPTER 4 OPTIMIZATION OF PROCESS PARAMETER OF FSW ON AA 5083 USING TAGUCHI METHOD (SINGLE OBJECTIVE)
52 CHAPTER 4 OPTIMIZATION OF PROCESS PARAMETER OF FSW ON AA 5083 USING TAGUCHI METHOD (SINGLE OBJECTIVE) 4.1 INTRODUCTION Welding is one of the vital and widely used manufacturing processes in any manufacturing
More informationOptimization of machining parameters of drilling process in Magnesium alloy AZ31
Optimization of machining parameters of drilling process in Magnesium alloy AZ31 A. Saravakumar 1, P. Sureshkumar 2, N. Balaji 3, R. Gokulnath 3, V. Mathavaram 3 1 Associate Professor, 2 Assistant Professor,
More informationEvaluation of Optimal Parameters for Machining of SS 430 with Wire Cut EDM Manish Garg 1 Gurmeet Singh 2
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 06, 2015 ISSN (online): 2321-0613 Evaluation of Optimal Parameters for Machining of SS 430 with Wire Cut EDM Manish Garg
More informationOptimization and Non-destructive Test Analysis of SS316L Weldments Using GTAW
Materials Research. 2014; 17(1): 190-195 2014 DOI: http://dx.doi.org/10.1590/s1516-14392013005000188 Optimization and Non-destructive Test Analysis of SS316L Weldments Using GTAW Balaji Chandrakanth a
More informationDevelopment of Mathematical Models to Predict Weld Bead Geometry of Butt Welded HSLA Steel Plates in a SAW Process
Development of Mathematical Models to Predict Weld Bead Geometry of Butt Welded HSLA Steel Plates in a SAW Process Bharat Sharma 1, Mohit Vashishta 1, Pradeep Khanna 2 1Student, MPAE Dept., Netaji Subhas
More informationAN EXPERIMENTAL STUDY OF ARC WELDING PARAMETERS FOR ULTIMATE STRENGTH IN BENDING & HARDNESS ON DMR 249A & OPTIMIZATION
AN EXPERIMENTAL STUDY OF ARC WELDING PARAMETERS FOR ULTIMATE STRENGTH IN BENDING & HARDNESS ON DMR 249A & OPTIMIZATION 1 ARJUN A ABHYANKAR, 2 DNYANESH M NIKAM, 3 SHIVAM S PAWAR, 4 JANMESH SHAH 1,2,3,4
More informationA novel method in the production and Optimization of Process Parameters in turning LM6 Aluminium alloy with Borosilicate Reinforcement
International Journal of ChemTech Research CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555 Vol.10 No.14, pp 110-116, 2017 A novel method in the production and Optimization of Process Parameters
More informationOptimization of welding process parameter to minimize defect in welding of sheet
Optimization of welding process parameter to minimize defect in welding of sheet Arshad A. Sheikh 1, Prashant D. Kamble 2 1,2Department of mechanical engineering, Yeshwantrao chavan college of engineering
More informationTHE APPLICATION OF TAGUCHI S OPTIMIZATION METHOD IN WET TURNING OPERATION OF EN 19 STEEL
International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN 2249-6890 Vol. 3, Issue 2, Jun 2013, 193-198 TJPRC Pvt. Ltd. THE APPLICATION OF TAGUCHI S OPTIMIZATION
More informationTaguchi Method & Fuzzy Logic Parametric Augmenting & Supplementing of MIG Welding On 304 AISI Stainless Steel
Taguchi Method & Fuzzy Logic Parametric Augmenting & Supplementing of MIG Welding On 304 AISI Stainless Steel N. Hyma Vathi 1, R. Vijaya Prakash 2 1 M. Tech Student, Department of Mechanical Engineering,
More informationOptimization of process parameters for 20MnMoNi55 material in SAW using Taguchi method.
Optimization of process parameters for 20MnMoNi55 material in SAW using Taguchi method. Vivek Ubhadiya 1, Pradhumn Tiwari 2, Dr. G. D. Acharya 3 1 PG Scholar, AITS, Rajkot, India 2 Prof. Mech. Eng. Dept.,
More informationTaguchi Analysis on Cutting Forces and Temperature in Turning Titanium Ti-6Al-4V
Taguchi Analysis on Forces and Temperature in Turning Titanium Ti-6Al-4V Satyanarayana Kosaraju, Venu Gopal Anne & Bangaru Babu Popuri Mechanical Engineering Department, National Institute of Technology,
More informationOptimization of Welding Parameters by Regression Modelling and Taguchi Parametric Optimization Technique
Optimization of Welding Parameters by Regression Modelling and Taguchi Parametric Optimization Technique Arvind Kumar Kachhoriya, Ajay Bangar, Rajan Sharma, Neetu Maharana Pratap College of Technology,
More informationReceived (10 October 2016) Revised (16 October 2016) Accepted (20 November 2016)
Mechanics and Mechanical Engineering Vol. 21, No. 1 (2017) 95 103 c Lodz University of Technology Multi Objective Optimization of Machining Conditions on Surface Roughness and MRR during CNC End Milling
More informationOptimization and Non-destructive Test Analysis of SS316L Weldments Using GTAW
Materials Research Optimization and Non-destructive Test Analysis of SS316L Weldments Using GTAW Balaji Chandrakanth a *, S. V. Abinesh Kumar b, S. Ashwin Kumar c, R. Sathish d a College of Engineering,
More informationApplication of Taguchi Method in Optimization of Tool Flank Wear Width in Turning Operation of AISI 1045 Steel
ISSN 4-6096 (Paper) ISSN 5-058 (online) Vol, No.8, 0 Abstract Application of Taguchi Method in Optimization of Tool Flank Wear Width in Turning Operation of AISI 045 Steel Ajay Mishra *, Dr. Anshul Gangele.
More informationOPTIMIZATION OF WELD BEAD GEOMETRY IN MIG WELDING PROCESS USING RESPONSE SURFACE METHODOLOGY
OPTIMIZATION OF WELD BEAD GEOMETRY IN MIG WELDING PROCESS USING RESPONSE SURFACE METHODOLOGY A.NARAYANA * and Dr. T.SRIHARI ** *Associate professor, Department of mechanical Engineering, College of Engineering,
More information