International Journal of Advanced Technology and Engineering Exploration (IJATEE) ISSN (P): 2394-5443 ISSN (O): 2394-7454 Vol - 5, Issue - 48, November 2018
  1. 1
    Google Scholar
Finite element analysis of lap joint through RSM technique

B. Stalin, K. Vadivel, S. Saravanavel and M. Ravichandran

Abstract

Welding technology is one of the fastest growing opportunities in the field of manufacturing engineering. Today, many construction, erection, ship building and body building works are not possible without welding. Although welding technology has many positive features, there are some negative features which are to be taken under consideration of this work. Many risks and accidents could be avoided, if the negative features of welding technology have been rectified. Many people involving in welding works are not able to identify the exact loading and boundary conditions for the corresponding weld, which is to be created by using design of experiment (DOE). So that, improper welding as well as lack of knowledge about the necessary welding parameters, has led to many accidents. This paper deals with the analytical response approaches of lap joint weld with respect to the minimum and maximum loading parameters. In order to identify the boundary condition of mechanical parameters with respect to the weld which is to be created. Hence the products which are designed the suggested load and dimensional specifications would follow the mechanical parameters which are obtained analytically by using ANSYS in order to avoid the percentage of risk and accidents in future. Aiding an improvement in the performance of work for the growth in future, for the betterment of people welfare and the environment in our society.

Keyword

Response surface methodology, Design of experiment, Spot welding, Lab joint, Finite element analysis.

Cite this article

Refference

[1][1]Khan MT, Ahmed F, Kim KY. Weldability knowledge visualization of resistance spot welded assembly design. Procedia Manufacturing. 2017; 11:1609-16.

[2][2]Dong Y, Teixeira AP, Soares CG. Time-variant fatigue reliability assessment of welded joints based on the PHI2 and response surface methods. Reliability Engineering & System Safety. 2018; 177:120-30.

[3][3]Kermanidis AT, Christodoulou PI, Hontzopoulos E, Haidemenopoulos GN, Kamoutsi H, Zervaki AD. Mechanical performance of laser spot-welded joints in Al-Al/Cu solar thermal absorbers. Materials & Design. 2018; 155:148-60.

[4][4]Kumar A, Sharma G, Dwivedi DK. TIG spot weld bonding of 409 L ferritic stainless steel. International Journal of Adhesion and Adhesives. 2018; 84:350-9.

[5][5]Long J, Huang W, Xiang J, Guan Q, Ma Z. Parameter optimization of laser welding of steel to Al with pre-placed metal powders using the Taguchi-response surface method. Optics & Laser Technology. 2018; 108:97-106.

[6][6]Martinez-Conesa EJ, Egea JA, Miguel V, Toledo C, Meseguer-Valdenebro JL. Optimization of geometric parameters in a welded joint through response surface methodology. Construction and Building Materials. 2017; 154:105-14.

[7][7]Shanavas S, Dhas JE. Parametric optimization of friction stir welding parameters of marine grade aluminium alloy using response surface methodology. Transactions of Nonferrous Metals Society of China. 2017; 27(11):2334-44.

[8][8]Vedrtnam A, Singh G, Kumar A. Optimizing submerged arc welding using response surface methodology, regression analysis, and genetic algorithm. Defence Technology. 2018; 14(3):204-12.

[9][9]Song XG, Jung JH, Son HJ, Park JH, Lee KH, Park YC. Metamodel-based optimization of a control arm considering strength and durability performance. Computers & Mathematics with Applications. 2010; 60(4):976-80.

[10][10]Wang H, Cui X, Wang R, Li C. Response surface optimization of the operating parameters for a complex distillation column based on process simulation. Energy Procedia. 2012; 16:571-8.

[11][11]Ganesamoorthi B, Kalaivanan S, Dinesh R, Anand K. Optimization technique using response surface method for USMW process. Procedia-Social and Behavioral Sciences. 2015; 189:169-74.

[12][12]Kumar A, Patil PP. FEA simulation and RSM based parametric optimisation of vibrating transmission gearbox housing. Perspectives in Science. 2016; 8:388-91.