Optimization of Resistance Spot Welding of 304 Steel Using GRA

Article Sidebar

PDF
Published: Sep 29, 2016
Keywords:
Resistance Spot Welding (RSW), Tensile shear strength, Nugget diameter, Taguchi Method, Grey Relational Analysis

Main Article Content

M.R. Rawal
R.R. Kolhapure
S.S. Sutar
V.D. Shinde

Abstract

Resistance spot welding (RSW) quality is mainly depends upon the parameters and their levels selected, like welding current, electrode force and welding time etc. So selection of optimal parameter levels plays an important role. Therefore, optimization of weld tensile strength and nugget diameter is selected for study. In this paper, use of Taguchi with Grey relational analysis (GRA) method to determine significant process parameters and their levels for optimal tensile shear strength (T-S) and nugget diameter (N-D) is reported. Taguchi based L27 (33) orthogonal array is selected for experimentation. Experiments are carried out on Stainless Steel 304. The level of importance of the welding parameters on the tensile shear strength and nugget diameter is determined by using analysis of variance (ANOVA) using Minitab 16 software. To improve the spot weld quality (i.e. T-S and N-D) multi objective process parameter optimization is performed using grey relational analysis.

Article Details

How to Cite
[1]
M.R. Rawal, R.R. Kolhapure, S.S. Sutar, and V.D. Shinde, “Optimization of Resistance Spot Welding of 304 Steel Using GRA”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 9, pp. 492–499, Sep. 2016.
Issue
Vol. 3 No. 9 (2016): September (2016) Issue
Section
Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

IJCERT Policy:

The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.

By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.

 

References

A. V. Dennison, D. J. Toncich, and S. Masood, Control and Process-Based Optimization of Spot-Welding in Manufacturing Systems, International Journal of Advance Manufacturing Technology, 1997, 13, p 256-263.

U. Esme, Application of Taguchi Method for the Optimization of Resistance Spot Welding Process, The Arabian Journal for Science and Engineering, 2008, 34, p 519-528.

A. G. Thakur, and V. M. Nandedkar, Application of Taguchi Method to Determine Resistance Spot Welding Condition of Austenitic Stainless Steel AISI 304, Journal of Scientific and Industrial Research, 2010, 69, p 680-683.

N. Muhammad, and H. P. Manurung, Design Parameters Selection and Optimization of Weld Zone Development in Resistance Spot Welding, World Academy of Science, Engineering and Technology, 2012, 72, p 1220-1225.

D. Das., A. Sahoo, R. Das, and B. Routara, Investigations on Hard Turning Using Coated Carbide Insert: Grey based Taguchi and Regression Methodology, Procedia Material Science, 2014, 6, p 1351-1358.

M. Durairaj , D. Sudharsun , and N. Swamynathan , Analysis of Process Parameters in Wire EDM with Stainless Steel using Single Objective Taguchi Method and Multi Objective Grey Relational Grade, Procedia Engineering, 2013, 64 , p 868-877.

J.L. Lin, and C. L. Lin, The Use of The Orthogonal Array With Grey Relational Analysis to Optimize the Electrical Discharge Machining Process With Multiple Performance Characteristics, International Journal of Machine Tools and Manufacture, 2002, 42, p 237- 244.

C. L. Lin, J. L. Lin, and T. C. Ko, Optimization of the EDM Process Based on the Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method, International Journal of Advanced Manufacturing Technology, 2002, 19, p 271-277.

N. Tosun, Determination of Optimal Parameter for MultiPerformance Characteristics in Drilling by Using Grey Relational Analysis, International Journal of Advanced Manufacturing Technology, 2006, 28, p 450-455.

U. A. Dabade, Multi-objective Process Optimization to Improve Surface Integrity on Turned Surface of Al/SiCp Metal Matrix Composites Using Grey Relational Analysis, Procedia CIRP, 2013, 7, p 299-304.

A.S Shivade, and V.D Shinde, Multi-objective Optimization in WEDM of D3 Tool Steel Using Integrated Approach of Taguchi Method and Grey Relational Analysis, Journal of Industrial Engineering international, 2014, 10, p 149-162.

R. Kolhapure, V. D. Shinde and V. A. Kamble, Optimization of Strain Gauge Transducer for Weighing Application Using GRA Method, Asian Journal of Engineering and Applied Technology, 2015, 4, p 1-7