ANALYSIS OF PERFORMANCE CHARACTERISTICS OF LASER BEAM WELDING
|
|
- Felicia Johns
- 5 years ago
- Views:
Transcription
1 ANALYSIS OF PERFORMANCE CHARACTERISTICS OF LASER BEAM WELDING G HARINATH GOWD 1* Associate Professor, Department of Mechanical Engineering Sri Krishnadevaraya Engineering college, NH-7, Gooty, Anantapur Dist, PIN Andhra Pradesh., INDIA hari.skd@gmail.com E VENUGOPAL GOUD Associate Professor, Department of Mechanical Engineering Pullareddy Engineering college, Kurnool, Anantapur Dist, PIN Andhra Pradesh., INDIA venugoud@gmail.com Abstract : Laser Beam Welding (LBW) is a widely used welding technique in Automotive, Aerospace, and Electronic and Heavy manufacturing industries to join a variety of metals and alloys because of its high speed, fine welding seam quality, low heat input per unit volume, deep penetration, and narrow heat affected zone, and reduced tendency to cracking. LBW process is so complex in nature that the selection of appropriate input parameters is not possible by the trial-and-error method. The selection of welding parameters in any machining process significantly affects the weld quality and the production cost. In this work, the effects of welding input parameters, viz., pulse duration, pulse frequency, welding speed and pulse energy on Bead geometrical parameters, viz., bead penetration, bead width and bead volume are analyzed. It is based on the empirical models developed by response surface methodology. Keywords: Laser beam welding, Modeling, Analysis, Performance characteristics. 1. INTRODUCTION Laser beam welding (LBW) processes is a unique welding technique used to join multiple pieces of metal through the heating effect of a concentrated beam of coherent monochromatic light known as LASER. Light amplification by stimulated emission of radiation (LASER) is a mechanism which emits electromagnetic radiation, through the process of simulated emission. Lasers generate light energy that can be absorbed into materials and converted into heat energy. LBW is a high-energy-density welding process and well known for its deep penetration, high speed, small heat-affected zone, fine welding seam quality, low heat input per unit volume, and fiber optic beam delivery [1]. The energy input in laser welding is controlled by the combination of focused spot size, focused position, shielding gas, laser beam power and welding speed. Laser (light amplification by the stimulated emission of radiation) welding is perhaps the latest addition to the ever-growing family of welding processes. The laser beam is highly directional, strong, monochromatic (of one wavelength) and coherent i.e. all the waves are in phase. Such a beam can be focused to a very small spot giving a very high energy density which may reach 10 9 W/mm. Thus, a laser beam can melt or evaporate any known materials. There are three basic types of lasers viz., the solid state laser, the gas laser and the semi conductor laser. The type of laser depends upon the lasing source. The solid state lasers make use of crystals such as ruby, sapphire and some artificially doped crystals such as neodymium doped yttrium garnet (Nd-YAG) rods. In the gas lasers, the lasing source is either a gas or mixture like hydrogen, nitrogen, argon and carbon dioxide. In case of semiconductor lasers, the lasing materials are single crystals of semiconductors such as gallium and indium arsenide, alloys of cadmium, selenium and sulphur etc. Among all these variants Nd:YAG lasers are being used most extensively for industrial applications because they are capable of durable multikilowatt operation. ISSN : Vol. 4 No.05 May
2 The principle of operation as shown in Fig 1 is that the laser beam is pointed on to a joint and the beam is moved along the joint. The process will melt the metals in to a liquid, fuse them together and then make them solid again thereby joining the two pieces. Fig. 1 Principle of Laser Welding Laser beam welding has high power density (of the order of 1 Megawatt/cm² (MW)), having high heating and cooling rates which result in small heat affected zones (HAZ). Industrial lasers are used for welding, cutting, drilling and surface treatment of a wide range of engineering materials. An inert gas, such as helium or argon, is used to protect the weld bead from contamination, and to reduce the formation of absorbing plasma. LBW is a very versatile process, which is capable of welding a variety of materials like stainless steels, carbon steels, aluminum, copper, tool steels, etc. This process involves a large number of control factors. Moreover, the process is stochastic in nature. These factors do not allow the operator to obtain the optimal performance just by the trial-and-error method.. LITERATURE SURVEY In any welding process, bead geometrical parameters play an important role in determining the mechanical properties of the weld and hence quality of the weld []. In Laser Beam welding, bead geometrical variables are greatly influenced by the process parameters such as Pulse frequency, Welding speed, Input energy, Shielding gas [3]. Therefore to accomplish good quality it is imperative to setup the right welding process parameters. Quality can be assured with embracing automated techniques for welding process. Welding automation not only results in high quality but also results in reduced wastage, high production rates with reduce cost to make the product. Benyounis et al. [4] has investigated the Effect of welding parameters on the heat input and weld bead profile using continuous wave 1.5 KW CO laser. The welding parameters taken in to consideration were welding speed, laser power and focal point position. Linear and quadratic polynomial equations were developed using RSM and the experimental plan was based on Box-Behnken design. Lung Kwang pan et al. [5] used ND:YAG laser for optimization of thin plate magnesium alloy butt welding using the Taguchi method. They have considered the effects of six welding parameters on the ultimate tensile stress of the weld joint. Nagesh and Datta [6] developed a back-propagation neural network, to establish the relationships between the process parameters and weld bead geometric parameters, in a shielded metal arc welding process. Jantre et al. [7] applied artificial neural networks to predict the pulsed current Gas Metal Arc Welding (GMAW) process. Balasubramanian et al. [8] applied neural networks to modeling and Buvanasekaran et al. [9] studied the Analysis of Laser welding parameters using artificial neural networks. The Taguchi method was utilized by Tarng and Yang [10] to analyze the affect of welding process parameter on the weld-bead geometry. Casalino [11] has studied the effect of welding parameters on the weld bead geometry in laser welding using statistical and Taguchi approaches. Murugan and Parmar [1] have developed mathematical models to study the effect of MIG process parameters on bead geometry in surfacing of stainless steel and the direct and interaction effect of process parameters were analyzed. The present work is an extension of previous work of the authors published in ref. [13]. They used response surface methodology to model the bead penetration, bead width & bead volume based on the secondorder composite design matrix. The advantage of using RSM is that it significantly reduces the number of experimental observations needed for arriving at the desired level of accuracy. In their work, later on, the problem was formulated as an optimization model minimizing the Bead volume subjected to the constraints of Bead penetration and Bead width. The volume is then optimized by using genetic algorithms. The experiments were conducted on INCONEL 600 as it is widely used in gas turbine blades, seals, and combustors, as well as ISSN : Vol. 4 No.05 May
3 turbocharger rotors and seals, electric submersible well pump motor shafts, high temperature fasteners, chemical processing and pressure vessels, heat exchanger tubing, rocket motors, space craft, nuclear reactors pumps and tooling. In the present work, the analysis of performance measures of LBW was carried out based on the models derived earlier by the authors in ref [13]. 3. ANALYSIS OF PERFORMANCE CHARACTERISTICS Bead penetration, Bead width and Bead volume are considered as the output responses and measured using Toolmaker s microscope. For each response the readings were measured at three different sections of the weld joint and the average value is taken. The following models of Bead penetration, Bead width and Bead volume in terms of coded factors were secured from authors previous work [13] for analysis: P e n e t r a t i o n = x x x x x x x x x x x x x x x x x x x x (1) Beadw idth = x + 0.0x -0.4x 0.046x x x x 1 x x 1 x x x x x x 3 x 4 () Beadvolum e = x x x x x x x x x x x x x x 0.0x x x -0.13x x -0.08x (3) Where x 1, x, x 3 and x 4 represent the decoded values of pulse duration, pulse frequency, welding speed and pulse energy respectively. These models were tested for their adequacy using the Analysis of Variance Test (ANOVA) and regression coefficients (R ) [13]. Analysis of variance (ANOVA) is carried out for the quadratic response surface models. The statistics of ANOVA for Bead penetration, Bead width and Bead volume are given in the Tables 1, Table and Table 3 respectively. From the Tables 1, & 3, it can be observed that the value of Prob. > F for the models are less than 0.05, which indicates that they are significant [14]. To check whether the fitted models actually describe the experimental data, the multiple regression coefficient (R ) are computed. If R approaches to unity, the better the model fits the experimental data. From Tables 1, and 3, R values for Bead penetration, Bead width and Bead volume are found to be 0.93, 0.9 & This shows that the second-order models can explain the variations in Bead penetration, Bead width and Bead volume up to the extent of 93%, 9.% and 91.4%. This proves that the developed models can represent the process adequately. ISSN : Vol. 4 No.05 May
4 Table 1: ANOVA [Partial sum of squares] for Bead Penetration Source Sum of Squares d. f. Mean Square F-Value Prob > F Model * x * x x x x 1 x x 1 x x 1 x x x E x x E x 3 x x x E x x Residual Pure Error Cor Total Std. Dev R Mean.0 Adj. R * - Refers to Significant terms Table : ANOVA [Partial sum of squares] for Bead width Source Sum of Squares d. f. Mean Square F-Value Prob > F Model * x x x * x x 1 x x 1 x x 1 x x x x x x 3 x Residual Pure Error E-04 Cor Total Std. Dev R 0.98 Mean 0.96 Adj. R * - Refers to Significant terms ISSN : Vol. 4 No.05 May
5 Table 3: ANOVA [Partial sum of squares] for Bead volume Source Sum of Squares d. f. Mean Square F-Value Prob > F Model * x x * x * x x 1 x x 1 x x 1 x x x x x x 3 x E x 1 x x x Residual Pure Error E-04 Cor Total Std. Dev R Mean 0.46 Adj. R * - Refers to Significant terms However, another approach is used in the present work based on the plot of residuals versus predicted response [15]. The plots of the residuals versus the predicted response for Bead penetration, bead volume and the bead volume are shown in Figs. -4, respectively. A check on the plots in Figs., 3 and 4 reveal that the errors are distributed normally and they have no obvious pattern and unusual structure. This implies that the models proposed are adequate and there is no reason to suspect any violation of the independence or constant variance assumption. ISSN : Vol. 4 No.05 May
6 Fig. Plot of Residual vs Predicted Response for bead penetration Fig. 3 Plot of Residual vs Predicted Response for bead width Fig. 4 Plot of Residual vs Predicted Response for bead volume The above developed models have been employed to predict the Penetration, bead width, and bead volume for the range of parameters used in the investigation. Based on these models, the main effects and the interaction effects of the process parameters on penetration, bead width and bead volume are computed and plotted using statistical software, Design Expert, 7.1.3v [16]. The main effect of Pulse duration on bead penetration can be observed from Fig. 5. The depth of penetration increases with increase in pulse duration. This is due to increase of the overlapping of the pulses. Overlapping of pulses increases the density of pulse and in turn increases the penetration. ISSN : Vol. 4 No.05 May
7 x = 14 HZ x 3 = 500 mm/min Fig. 5 Effect of Pulse duration on penetration The main effect of Frequency on Depth of penetration is shown in Fig. 6 and it can be observed that the depth of penetration increases with the frequency. This is also due to the overlapping of pulses. Overlapping of pulses increases the density of pulse and in turn increases the penetration. Hence in order to obtain more depth of penetration, the Pulse duration and the frequency should be increased. x 3 = 500 mm/min Fig. 6 Effect of Frequency on penetration The effect of welding speed on depth of penetration as seen in Fig.7. It is observed that the depth of penetration decreases with increase in the welding speed. The trend of decrease in penetration depth with increase of the welding speed can be explained by the amount of heat conduction transmitted to the base metal decreasing as the welding speed increases. x = 14 Hz Fig. 7 Effect of welding speed on penetration ISSN : Vol. 4 No.05 May
8 x = 14 Hz x 3 = 500mm/min Fig. 8 Effect of pulse energy on penetration The effect of energy on the depth of penetration is observed in Fig. 8. Energy has a direct influence on the heat input at each pulse. The depth of the weld increases with increase in energy. As the magnitude of laser power increases, the depth of penetration increases. This is due to the increase in heat input when beam power increases resulting in more melting of base metal. The effect of pulse duration, pulse frequency, welding speed and pulse energy on bead width are shown in Fig. 9, Fig. 10, Fig.11 and Fig. 1. It is observed from Fig. 9 and 10 that, the bead width increases with the increase of pulse duration and frequency. This is due to increase of overlapping of pulses with the increase in pulse duration. The overlapping of pulses increases the density of pulse and this in turn increases the bead width. x = 14Hz x 3 = 500mm/min Fig. 9 Effect of pulse duration on bead width x 3 = 500 mm/min Fig. 10 Effect of pulse frequency on bead width ISSN : Vol. 4 No.05 May
9 x = 14 Hz Fig. 11 Effect of Welding speed on bead width The effect of welding speed on bead with is shown in Fig. 11. It is observed that as the welding speed increases, the bead width decreases. As the welding speed increases the welding torch travels at great speed over the base metal, resulting in a lower metal deposition rate on the joint. Also the heat input decreases appreciably when welding speed increases. Hence because of less heat input and a lower metal deposition rate, bead width decreases. The effect of energy on the bead width is observed in Fig. 1. There is a slight decrease of bead width as the pulse energy increases. The variation of bead width is less significant for the variation of energy, indicating that it may be a function of laser beam spot diameter. As the spot diameter was maintained constant for all the trials, not much of variation was observed in the bead width. x = 14 Hz x 3 = 500mm/min Fig. 1 Effect of Pulse energy on bead width The individual effect of pulse duration on bead volume can be observed from Fig. 13. The pulse duration has a bilateral effect on weld volume. The volume of weld increases with the duration of the pulses of up to certain limit. If the duration of pulse exceeds that limit, the weld volume decreases with the duration of the pulse. This is attributed to increasing the heat induced in the materials with the pulse duration below that value. Beyond that, the maximum power of each pulse reduced due to limitation in the power of laser and therefore the laser maximum energy induced in the weld bead decreases. ISSN : Vol. 4 No.05 May
10 x = 14Hz x 3 = 500mm/min Fig. 13 Effect of Pulse duration on bead volume The individual effect of Frequency on bead volume can be observed from Fig. 14. The bead volume increases with increase in laser frequency. This is due to increase of number of pulses with frequency, which in turn increases the heat induced in the material. x 3 = 500 mm/min Fig. 14 Effect of Frequency on bead volume The effect of Welding speed on bead with is seen in Fig. 15. It is observed that as the welding speed increases, the welding torch travels at great speed over the base metal, resulting in a lower metal deposition rate on the joint. Also the heat input decreases appreciably when welding speed increases. Hence because of less heat input and a lower metal deposition rate, bead volume decreases. The effect of energy on the bead volume is observed in Fig. 16. The energy has a direct influence on the heat input at each pulse. The volume of weld increases with the increase of Energy. ISSN : Vol. 4 No.05 May
11 x = 14 Hz Fig. 15 Effect of Welding speed on bead volume x = 14 Hz x 3 = 500mm/min Fig. 16 Effect of Pulse energy on bead volume The Fig.17 shows the interaction effects of pulse energy and welding speed on bead penetration. It can be observed that as the pulse energy increases from minimum to maximum, the depth of penetration is found to increase and as the welding speed increases, the depth of penetration decreases. Fig. 17 Interaction effect of welding speed and pulse energy on bead penetration ISSN : Vol. 4 No.05 May
12 The Fig.18 shows the interaction effects of pulse energy and welding speed on bead width. Bead width increases with decrease of pulse energy and when welding speed decreases from 900mm/min to 100mm/min. At high value of welding speed and low value of pulse energy, bead width is about 0.6 mm and is the lowest. Fig. 18 Interaction effect of pulse energy and welding speed on bead width Fig.19 depicts the interaction effects of pulse duration and welding speed on bead volume. The bead volume gradually decreases with the increase in welding speed. The maximum value of bead volume (0.5mm 3 ) is observed when pulse duration increases from 1µ s to 5 µs. Thus pulse duration has a positive effect on the bead volume. 4. CONCLUSION Fig. 19 Interaction effect of pulse duration and welding speed on bead volume The analysis of performance characteristics for ND:YAG Laser Beam welding process was carried out. The effects of input parameters pulse duration, pulse frequency, welding speed and pulse energy on bead penetration, bead width and bead volume for Butt welding of INCONEL 600 are studied and analysed. Also the graphs were plotted for all the effects. Most of the direct and interaction effects of the process variables on the bead parameters show generally convincing trends between cause and effect. The input parameters pulse duration, pulse frequency, welding speed and pulse energy all impose significant effect on responses bead penetration, bead width & bead volume. The three dimensional surface graph clearly show the interactive effects of various input parameters considered on the bead geometry. The interaction effect of welding speed and pulse energy is significant on the bead penetration and bead volume. It may be noted that the results obtained out of this analysis vary from material to material and are machine dependent. ISSN : Vol. 4 No.05 May
13 REFERENCES [1] Steen W.M., Laser material processing, Springer, London, [] Howard B.Cary., Modern Welding Technology, Prentice Hall, New Jersey, [3] Murugan N., Bhuvanasekharan G., Effects of process parameters on the bead geometry of laser beam butt welded stainless sheets, International Journal of Advanced Manufacturing Technology, 3: , 007. [4] Benyounis K.Y., Olabi A.G., Hashmi M.S.J., Effect of laser welding parameters on the heat input and weld bead profile, Journal of Materials processing technology, 65: , 005. [5] Lung Kwang pan., Che Chang Wang., Ying Ching Hsiao., Kye Chyn Ho., Optimization of Nd:YAG laser welding on to magnesium alloy via Taguchi analysis, Optics and Laser technology, 37: 33-4, 004. [6] Nagesh D S., Datta G L., Prediction of weld bead geometry and penetration in shielded metal-arc welding using artificial neural networks, Journal of Materials Processing Technology, 13: , 00. [7] De A., Jantre J., Ghosh P.K., Prediction of weld quality in pulsed current GMAW process using artificial neural network, Science and Technology of Welding and Joining 9 (3): 53 59, 004. [8] Balasubramanian K.R., Bhuvanasekaran G., Sankaranarayanaswamy K., Mathematical & ANN Modeling of ND:YAG Laser welding of Thin SS Sheets. [9] Bhuvanasekaran G., Balasubramanian K.R., Sankaranarayanaswamy K., Analysis of Laser welding parameters using Artificial neural network, International journal for the joining of Materials, Volume 18 No.3/4, pp ISSN , December 006. [10] Tarng Y.S., Yang W.H., Optimization of the weld-bead geometry in gas tungsten arc welding by the Taguchi method, International Journal of Advanced Manufacturing Technology, 14(8), , [11] Casalino G., Investigation on Ti6A14V laser welding using statistical and taguchi approaches, International Journal of Advanced Manufacturing technology, 008. [1] Murugan N., Parmar RS., Effect of MIG process parameters on the geometry of the bead in the automatic surfacing of stainless steel, Journal of Materials Processing Technology, 41: , [13] G. Harinath Gowd, A. Gopala Krishna, Empirical modeling of Bead geometry and optimization in laser welding, International Journal of Engineering Research and Industrial Applications., Volume: 4, No.III, August 011. [14] Montgomery D.C., Design and analysis of experiments, 5 th edition, John Wiley & Sons, INC, New York, 003. [15] Noordin M Y, Venkatesh V C, Sharif S, Elting S, Abdullah A (004), Application of Response Surface Methodology in Describing the Performance of Coated Carbide Tools when Turning AISI 1045 Steel, Journal of Materials Processing Technology, Vol. 145, pp [16] Design Expert, 7.1.3v (006), Stat-Ease Inc., 01 E. Hennepin Avenue, Suite 480, Minneapolis. ISSN : Vol. 4 No.05 May
6340(Print), ISSN (Online) Volume 3, Issue 3, Sep- Dec (2012) IAEME AND TECHNOLOGY (IJMET)
INTERNATIONAL International Journal of Mechanical JOURNAL Engineering OF MECHANICAL and Technology (IJMET), ENGINEERING ISSN 0976 AND TECHNOLOGY (IJMET) ISSN 0976 6340 (Print) ISSN 0976 6359 (Online) Volume
More informationEffect of laser-welding parameters on the heat input and weld-bead profile
Effect of laser-welding parameters on the heat input and weld-bead profile K. Y. Benyounis *, A. G. Olabi and M. S. J. Hashmi School of Mechanical and Manufacturing Engineering. Dublin City University,
More informationDEVELOPMENT OF MATHEMATICAL MODELS AND OPTIMIZATION OF THE LASER WELDING PROCESS PARAMETERS USING RESPONSE SURFACE METHODOLOGY
DEVELOPMENT OF MATHEMATICAL MODELS AND OPTIMIZATION OF THE LASER WELDING PROCESS PARAMETERS USING RESPONSE SURFACE METHODOLOGY S. Vignesh 1, P. Dinesh Babu 1, G. Muthukumaran 1, S. Martin Vinoth 1 and
More informationStatistical Analysis of TIG Arc Weldment Characteristics
DOI: 10.7763/IPEDR. 2014. V75. 16 Statistical Analysis of TIG Arc Weldment Characteristics H. K. Narang 1 + and M. M. Mahapatra 2 1 Assistant professor, Mechanical Engineering Department, National Institute
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 informationResidual Stresses Prediction for CO 2 Laser Butt-Welding of 304- Stainless Steel K. Y. Benyounis, A. G. Olabi and M. S. J. Hashmi
Applied Mechanics and Materials Vols. 3-4 (2005) pp 125-130 Online: 2006-08-15 (2005) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/amm.3-4.125 Residual Stresses Prediction for CO
More informationDEVELOPING EMPIRICAL RELATIONSHIPS TO PREDICT WELD BEAD GEOMETRY OF SHIELDED METAL ARC WELDING
DEVELOPING EMPIRICAL RELATIONSHIPS TO PREDICT WELD BEAD GEOMETRY OF SHIELDED METAL ARC WELDING S. M. Ravikumar and P. Vijian Department of Mechanical Engineering, M.A.M. College of Engineering, Trichy,
More informationPublished by: PIONEER RESEARCH & DEVELOPMENT GROUP ( 37
PREDICTION OF WELD BEAD GEOMETRY IN PULSED MIG WELDING S Rajsekhara Reddy 1, V Ravi Kumar 2, B Chandra Sekhar 3 1 PG Student, ASRCE, Tanuku, India 2 Assistant Professor, ASRCE, Tanuku, India 3 Assistant
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 informationPULSED LASER WELDING
PULSED LASER WELDING Girish P. Kelkar, Ph.D. Girish Kelkar, Ph.D, WJM Technologies, Cerritos, CA 90703, USA Laser welding is finding growing acceptance in field of manufacturing as price of lasers have
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 informationGREY-BASED TAGUCHI METHOD FOR OPTIMIZATION OF BEAD GEOMETRY IN LASER BEAD-ON-PLATE WELDING
Advances in Production Engineering & Management 5 (2010) 4, 225-234 ISSN 1854-6250 Scientific paper GREY-BASED TAGUCHI METHOD FOR OPTIMIZATION OF BEAD GEOMETRY IN LASER BEAD-ON-PLATE WELDING *Sathiya,
More informationLINEAR MATHEMATICAL MODELS FOR WELDS IN LASER WELDING
LINEAR MATHEMATICAL MODELS FOR WELDS IN LASER WELDING Remus BOBOESCU 1 1 Ph.D., Professor, Polytechnic University Timişoara Abstract. It presents a study on the molten area produced at irradiation of steel
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 informationEstablishing Relationship between ASAW Parameters and Welding Voltage during Surfacing
International Journal of Advanced Mechanical Engineering. ISSN 2250-3234 Volume 4, Number 6 (2014), pp. 601-609 Research India Publications http://www.ripublication.com Establishing Relationship between
More informationEffects of MIG process parameters on the geometry and dilution of the bead in the automatic surfacing
Effects of MIG process parameters on the geometry and dilution of the bead in the automatic surfacing R. Chotěborský 1, M. Navrátilová 2, P. Hrabě 1 1 Department of Material Science and Manufacturing Technology,
More informationEXPERIMENTAL INVESTIGATION EFFECT ON SAW USING RESPONSE SURFACE METHODOLOGY (RSM)
EXPERIMENTAL INVESTIGATION EFFECT ON SAW USING RESPONSE SURFACE METHODOLOGY (RSM) Hinal B. Thakker1 1 Mechanical Department, AIT Abstract Submerged arc welding is preferable more its inherent qualities
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 informationAPPLICATION OF RESPONSE SURFACE MODELING FOR DETERMINATION OF FLUX CONSUMPTION IN SUBMERGED ARC WELDING BY THE EFFECT OF VARIOUS WELDING PARAMETERS
Int. J. Mech. Eng. & Rob. Res. 2012 Krishankant et al., 2012 Research Paper ISSN 2278 0149 www.ijmerr.com Vol. 1, No. 3, October 2012 2012 IJMERR. All Rights Reserved APPLICATION OF RESPONSE SURFACE MODELING
More informationSpot and seam welding applications using Nd:YAG lasers. Geoff J Shannon Unitek Miyachi Corporation 1820 S Myrtle Avenue Monrovia, CA
Spot and seam welding applications using Nd:YAG lasers Geoff J Shannon Unitek Miyachi Corporation 1820 S Myrtle Avenue Monrovia, CA 91017 Abstract With precise energy control and application flexibility
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 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 informationCopyright 1999 Society of Manufacturing Engineers FUNDAMENTAL MANUFACTURING PROCESSES Welding NARRATION (VO):
Copyright 1999 Society of Manufacturing Engineers --- 1 --- FUNDAMENTAL MANUFACTURING PROCESSES Welding SCENE 1. CG: Fusion Welding Processes white text centered on black SCENE 2. tape 528, 14:18:33-14:18:52
More informationWelding 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 informationOptimising the laser-welded butt-joints of medium carbon steel using RSM
Optimising the laser-welded butt-joints of medium carbon steel using RSM K. Y. Benyounis *, A. G. Olabi and M. S. J. Hashmi School of Mechanical and Manufacturing Engineering, Dublin City University, Dublin
More informationInvestigating the Effect of Welding Parameters on Weld Bead Geometry in Submerged Arc Welding by using Response Surface Methodology
ISSN: 2454-2377, Investigating the Effect of Welding Parameters on Weld Bead Geometry in Submerged Arc Welding by using Response Surface Methodology Ajay Saini 1, Arashdeep Singh 2 1 Research Scholar,
More informationCronicon CHEMISTRY. Research Article Evaluate the Weldability of Stainless Steel Welded in Different Methods
Cronicon OPEN ACCESS CHEMISTRY Research Article Evaluate the Weldability of Stainless Steel Welded in Different Methods Mostafa A Rijab 1, Ali I Al-Mosawi 2 * and Shaymaa Abbas Abdulsada 3 1 Technical
More informationExperimental Investigation of Quality Characteristics in Nd:YAG Laser Drilling of Stainless Steel (AISI 316)
ICMMM - 2017 Experimental Investigation of Quality Characteristics in Nd:YAG Laser Drilling of Stainless Steel (AISI 316) Suman Chatterjee a *, Siba Sankar Mahapatra a, Anshuman Kumar Sahu a, Vijay K Bhardwaj
More informationAdaptive Gap Control in Butt Welding with a Pulsed YAG Laser
Transactions of JWRI, Vol.36 (2007), No. 2 Adaptive Gap Control in Butt Welding with a Pulsed YAG Laser KAWAHITO Yousuke*, KITO Masayuki** and KATAYAMA Seiji*** Abstract The gap is one of the most important
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 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 informationInternational Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor (SJIF): 5.71 International Journal of Advance Engineering and Research Development Volume 5, Issue 03, March -2018 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Study
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 2, Issue 4, July 2013
Optimization of Laser Welding Process by Fuzzy Logic Technique Vijay D. Bhujbal, Ashok P.Tadamalle Sinhgad College of Engineering, Off Sinhgad Road Vadgaon (Bk), Pune 411041. Abstract: Laser welding process
More informationAdvancements in Laser Welding Technology
June 015 [Volume 1, Issue 1] Advancements in Laser Welding Technology Broadening our Horizons Contents Special Interest Articles We are proud to announce the Broadening our Horizons 1 purchase of a brand
More informationEmpirical modeling & Analysis of Tube Hydroforming process of Inconel 600 using Response Surface Methodology
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:7 No:0 7 Empirical modeling & Analysis of Tube Hydroforming process of Inconel 600 using Response Surface Methodology B. Sreenivasulu,
More informationPrediction of Weld Pool Geometry in Pulsed Current Micro Plasma Arc Welding of SS304L Stainless Steel Sheets
20 International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies http://www.tuengr.com,
More informationWELDING TECHNOLOGY AND WELDING INSPECTION
WELDING TECHNOLOGY AND WELDING INSPECTION PRESENTED BY: GOPAL KUMAR CHOUDHARY SVL ENGINEERING SERVICES CHENNAI CONTENTS: DEFINATION TYPES OF WELDING ELECTRODE GEOMETRY EQUIPMENT QUALITY PROCESS SAFETY
More informationExperimental investigation on Fatigue and Impact Strength of MONEL 400 to AISI 304 joints by TIG welding
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 07, Issue 08 (August. 2017), V1 PP 32-39 www.iosrjen.org Experimental investigation on Fatigue and Impact Strength of
More informationResearch Article Effect of Laser Welding Parameters on Weld Bead Geometry
Research Journal of Applied Sciences, Engineering and Technology15(3): 118-123, 2018 DOI:10.19026/rjaset.15.5836 ISSN:2040-7459; e-issn: 2040-7467 2018 Maxwell Scientific Publication Corp. Submitted: November
More informationNONTRADITIONAL MANUFACTURING PROCESSES
NONTRADITIONAL MANUFACTURING PROCESSES Lasers & Laser Beam Machining Basic NTM Process Groups: * Thermal NTM Processes - Laser Beam Machining (LBM) - Electron Beam Machining (EBM) - Plasma Arc Machining
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 informationLecture 16 Gas Tungsten Arc welding III & Plasma Arc Welding Keyword: 16.1 Selection of pulse parameters
Lecture 16 Gas Tungsten Arc welding III & Plasma Arc Welding This chapter presents the influence of process parameters of pulse TIG welding process on the development of sound weld joint. Further, the
More informationLaser Beam Welding (LBW) of Aluminum Alloys
PE 225 Material Technology -2 Course Mini Project Laser Beam Welding (LBW) of Aluminum Alloys Under Supervision of Dr.Ing Islam El-Galy Contents LBW Principle Advantages of Laser Welding Limitation of
More informationEffect of Welding Process on Residual Stress Development in AISI 316 Thin Welds
More info about this article: http://www.ndt.net/?id=21214 Effect of Welding Process on Residual Stress Development in AISI 316 Thin Welds S. Arun Kumar, S. Mahadevan, B.P.C. Rao, C.K. Mukhopadhyay and
More informationIntroduction. 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 informationRESIDUAL STRESS AND DISTORTION ANALYSIS IN LASER BEAM WELDING PROCESSES
Ind. J. Sci. Res. and Tech. 015 3():0-5/Kanthi ISSN:-31-96 (Online) RESIDUAL STRESS AND DISTORTION ANALYSIS IN LASER BEAM WELDING PROCESSES Rajesh Goud Kanthi School of Mechanical Engineering,CEST, Fiji
More informationResponse Surface Optimization of Interpulse TIG welding for the Optimum Weld bead of Ti-6Al-4V
Response Surface Optimization of Interpulse TIG welding for the Optimum Weld bead of Ti-6Al-4V Debashis Mishra 1 1 Department of Mechanical Engineering, CMR Technical Campus, JNTUH, Hyderabad Abstract:
More informationOptimization and Prediction Of MIG Welding Process Parameters Using ANN
Optimization and Prediction Of MIG Welding Process Parameters Using ANN Jigar Shah 1, Gaurav Patel 2, Jatin Makwana 3 P.G. Student, Ipcowala Institute of Engg. &Tech. Dharmaj, Gujarat, India 1 Assistant
More informationFUZZY MODELING OF RECAST LAYER FORMATION IN LASER TREPAN DRILLING OF SUPERALLOY SHEET
INTERNATIONAL JOURNAL OF MANUFACTURING TECHNOLOGY AND INDUSTRIAL ENGINEERING (IJMTIE) Vol. 2, No. 2, July-December 2011, pp. 55-59 FUZZY MODELING OF RECAST LAYER FORMATION IN LASER TREPAN DRILLING OF SUPERALLOY
More informationpdfmachine trial version
EFFECT OF WELDING TECHNIQUES (GTAW & SMAW) ON THE MICROSTRUCTURE & MECHANICAL PROPERTIES OF MILD STEEL SA 516 Gr. 70 By Dr. Muhammad Taqi Zahid Butt, S. Ahmed, S. Rasool, U. Ali and S. U. Rehman* ABSTRACT
More informationThe 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 informationLASER WELDING OF AUSTENITIC STAINLESS STEEL THIN SHEETS
LASER WELDING OF AUSTENITIC STAINLESS STEEL THIN SHEETS Elena Manuela STANCIU, Alexandru PASCU, Ionuţ Claudiu ROATĂ Transilvania University of Brasov, Romania Abstract. This paper presents investigations
More informationLASER 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 informationTechnical Data Sheet 321 Electrode Hi-Performance E-Z Arc Alloy
321 Electrode Hi-Performance E-Z Arc Alloy A quality electrode formulated to clean contaminants and produce good base metal penetration. Once welded, it lifts the contaminants into an easy-forming slag
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 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 informationFinite 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 informationAn Experimental Investigation and Prediction of Laser Welding Process
An Experimental Investigation and Prediction of Laser Welding Process MR. DHAVALKUMAR K. SONI M. Tech. (CAD/CAM) PG student, U V Patel College of Engineering, Ganpat University, Mehsana, Gujarat, 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 informationWelding Technology. 2.1 Gas Tungsten Arc Welding (GTAW)
2 Welding Technology 2.1 Gas Tungsten Arc Welding (GTAW) The gas tungsten arc welding (GTAW) process is based on the electric arc established between a non-consumable electrode of tungsten and the work-pieces
More informationOptimization of Tig Welding Parameters for Hardness and Study the Effect on Microstructure of Titanium Alloy
GRD Journals- Global Research and Development Journal for Engineering Volume 2 Issue 4 March 2017 ISSN: 2455-5703 Optimization of Tig Welding Parameters for Hardness and Study the Effect on Microstructure
More informationJOINING OF DISSIMILAR MATERIALS SS304 AND COPPER PLATE USING LASER WELDING
JOINING OF DISSIMILAR MATERIALS SS304 AND COPPER PLATE USING LASER WELDING 1 RAJKUMAR M. PRANAMI, 2 MAYANK N. MADIA 1 M.E. Advance Manufacturing System, Tatva Institute of Technological Studies, Modasa,
More informationEFFECT OF GTAW WELDING PARAMETERS ON MICROSTRUCTURE AND MECHANICAL PROPERTIES OF CARBON STEEL ALLOYS BY STELLITE 6 FILLER
EFFECT OF GTAW WELDING PARAMETERS ON MICROSTRUCTURE AND MECHANICAL PROPERTIES OF CARBON STEEL ALLOYS BY STELLITE 6 FILLER Mahdi Karami Pour and *Mohamad Reza Salmani Department of Material Engineering,
More informationPrediction and Control of Weld Bead Geometry in Gas Metal Arc Welding Process Using Simulated Annealing Algorithm
Prediction and Control of Weld Bead Geometry in Gas Metal Arc Welding Process Using Simulated Annealing Algorithm 1, P, Sreeraj, 2, T, Kannan, 3, Subhasis Maji 1, Department of Mechanical Engineering,
More informationInternational Journal of Advance Engineering and Research Development. Optimization of MRR in Sinker EDM Process Using Genetic Algorithm Technique
Scientific Journal of Impact Factor (SJIF): 4.14 International Journal of Advance Engineering and Research Development Volume 3, Issue 3, March -2016 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Optimization
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 different welding processes using statistical and numerical approaches- A reference guide
Optimization of different welding processes using statistical and numerical approaches- A reference guide K. Y. Benyounis *1 and A. G. Olabi* 2 1- Dept of Industrial Eng., Garyounis University, Benghazi,
More informationControl of Welding Residual Stress for Dissimilar Laser Welded. Materials
Control of Welding Residual Stress for Dissimilar Laser Welded Materials E. M. Anawa and A. G. Olabi School of Mechanical & Manufacturing Eng., Dublin City University, Dublin 9, Ireland ezzeddin.hassan2
More informationExperimental 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 informationMULTI RESPONSE OPTIMIZATION OF PROCESS PARAMETERS FOR EDM OF COPPER AND HIGH SPEED STEEL
MULTI RESPONSE OPTIMIZATION OF PROCESS PARAMETERS FOR EDM OF COPPER AND HIGH SPEED STEEL B Suneel Kumar* 1,P satish kumar 2 and Ch v s parameswra rao 3 1,2,3 PBR Visvodaya Institute of Technology and Science,
More informationJewelry Laser Spot Welding Machine
Jewelry Laser Spot Welding Machine This laser spot welding machines are used for perforation and spot welding of sand hole for gold and silver jewelleries. Laser spot welding is an important application
More informationManufacturing Process II. Welding Processes-1
Manufacturing Process II Welding Processes-1 1. Introduction: The term joining is generally used for welding, brazing, soldering, and adhesive bonding, which form a permanent joint between the parts a
More informationVARIOUS EFFECTS OF WELDING PARAMETERS ON TIG WELDING OF 2024-T3 CLAD ALUMINUM ALLOY PLATE
VARIOUS EFFECTS OF WELDING PARAMETERS ON TIG WELDING OF 2024-T3 CLAD ALUMINUM ALLOY PLATE M. RAJKIRAN M.Tech, Production Technology, Sree Vaanmayi Istitute of Engineering, E-mail:rajkiran.dme@gmail.com
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 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 informationTHE EFFECTS OF WELDING PARAMETERS ON BUTT JOINTS USING ROBOTIC GAS METAL ARC WELDING
Journal of Mechanical Engineering and Sciences (JMES) ISSN (Print): 2289-4659; e-issn: 2231-8380; Volume 6, pp. 988-994, June 2014 Universiti Malaysia Pahang, Malaysia DOI: http://dx.doi.org/10.15282/jmes.6.2014.26.0096
More informationLecture 29 DESIGN OF WELDED JOINTS VII
Lecture 29 DESIGN OF WELDED JOINTS VII This chapter presents the influence of various welding related parameters on fatigue behavior of weld joints. Attempts have been made to explain how (residual stress,
More informationDESIGN 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 informationSTUDY OF OPTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS USING HYBRID MULTI RESPONSE TECHNIQUES
STUDY OF OPTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS USING HYBRID MULTI RESPONSE TECHNIQUES *Lingaraj.N 1 and Gajendran.S 2 1 Department of Mechanical Engineering, Rajalakshmi Institute of Technology,
More informationDr Jack Gabzdyl Product Line Manager Pulsed Lasers
AILU PHOTONEX 08 16 th October 2008 Fiber Lasers for Medical Applications Dr Jack Gabzdyl Product Line Manager Pulsed Lasers General Advantages of Fibre Lasers Beam Quality & Stability Diffraction-limited
More informationOptimization of weld bead geometry in the activated GMA welding process via a grey-based Taguchi method
Journal of Mechanical Science and Technology 28 (8) (2014) 3249~3254 www.springerlink.com/content/1738-494x DOI 10.1007/s12206-014-0735-9 Optimization of weld bead geometry in the activated GMA welding
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 informationIn-process Monitoring and Adaptive Control during Micro Welding with CW Fiber Laser
In-process Monitoring and Adaptive Control during Micro Welding with CW Fiber Laser Yousuke KAWAHITO*, Masaharu KAWASAKI* and Seiji KATAYAMA* * Osaka University, Joining and Welding Research Institute
More informationPredicting the Weld Bead Geometry of Tig Welding and Generating a Mathematical Model by Box Benkahn
International Conference on Systems, Science, Control, Communication, Engineering and Technology 646 International Conference on Systems, Science, Control, Communication, Engineering and Technology 2016
More informationA Survey of Laser Types. Gas Lasers
Mihail Pivtoraiko Andrei Rozhkov Applied Optics Winter 2003 A Survey of Laser Types Laser technology is available to us since 1960 s, and since then has been quite well developed. Currently, there is a
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 informationAN EXPERIMENTAL INVESTIGATION ON A36 CARBON STEEL IN SUBMERGED ARC WELDED JOINTS
International Journal of Mechanical Engineering and Technology (IJMET) Volume 9, Issue 4, April 2018, pp. 302 311, Article ID: IJMET_09_04_035 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=9&itype=4
More informationLaser welding study for further development in essential power plant part repairs
Songklanakarin J. Sci. Technol. 37 (3), 361-367, May-Jun. 2015 http://www.sjst.psu.ac.th Original Article Laser welding study for further development in essential power plant part repairs Isarawit Chaopanich*,
More informationEffect of process parameters of pulsed current tungsten inert gas welding on weld pool geometry of titanium welds
Available online at www.amse.org.cn Acta Metall. Sin.(Engl. Lett.)Vol.23 No. pp3-320 August 20 Effect of process parameters of pulsed current tungsten inert gas welding on weld pool geometry of titanium
More informationRESPONSE SURFACE METHODOLOGY IN FINISH TURNING INCONEL 718
RESPONSE SURFACE METHODOLOGY IN FINISH TURNING INCONEL 718 M. Aruna 1 Department of Mechanical Engineering, Velammal College of Engineering and Technology, Madurai, India. Dr. V. Dhanalakshmi 2 Department
More informationPREDICTION AND CONTROL OF WELD BEAD GEOMETRY IN GAS METAL ARC WELDING PROCESS USING GENETIC ALGORITHM
International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN 2249-6890 Vol. 3, Issue 1, Mar 2013, 143-154 TJPRC Pvt. Ltd. PREDICTION AND CONTROL OF WELD BEAD GEOMETRY
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 informationTitanium 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 informationPREDICTION ON WELD STRENGTH OF ULTRASONIC METAL WELDING OF COPPER WIRE AL8011 SHEET
Volume 119 No. 12 2018, 2217-2224 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu PREDICTION ON WELD STRENGTH OF ULTRASONIC METAL WELDING OF COPPER WIRE AL8011 SHEET S.Raja 1 and Dr.N.Balaji
More informationApplication of Taguchi Method for Optimum Weld Process Parameters of Pure Aluminum
American Journal of Mechanical and Industrial Engineering 2016; 1(3): 123-128 http://www.sciencepublishinggroup.com/j/ajmie doi: 10.11648/j.ajmie.20160103.25 ISSN: 2575-6079 (Print); ISSN: 2575-6060 (Online)
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 informationInfluence of Process Parameters of Surface Grinding on Maraging Steel
International Journal of Materials Science ISSN 0973-4589 Volume 12, Number 1 (2017), pp. 127-135 Research India Publications http://www.ripublication.com Influence of Process Parameters of Surface Grinding
More informationUSN. Hosur : 6A/6B/6C 10ME665. Discuss briefly. 1 a.
USN 1 P E PESIT Bangalore South Campus Hosur road, 1km before Electronic City, Bengaluru -100 Department of Mechanical Engineering INTERNAL ASSESSMENT TEST 3 Solutions Subject & Code : NTM 10ME665 Name
More information3/26/2015. 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 informationStudying Increase of Speed Using Different Laser Welds
Australian Journal of Basic and Applied Sciences, 6(12): 247-251, 2012 ISSN 1991-8178 Studying Increase of Speed Using Different Laser Welds Dr Masoud Sabbaghi, Shahla Arabshahi and Shahrzad Arabshahi
More information