International Journal of Nonlinear Analysis and Applications
Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters
Document Type : Research Paper
Authors
1 Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
2 Department of Mechanical Engineering, K L Deemed to be University, Vaddeswaram, Guntur (Dist), Andhra Pradesh, India.
3 Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Dist), Vijayawada, Andhra Pradesh, India.
Abstract
Robot spray painting process can improve the quality, productivity and provide clean environment in addition to minimize the labour and cost. This process is being used in automobiles, home appliances, etc. There is a need to specify optimal spray painting process parameters to improve the quality of paint coating considering the performance indicators as thickness variation, surface roughness and film adhesion. Compared to the Taguchi orthogonal array and gray rational analysis, a simple modified Taguchi approach is adopted here to identify optimal spray painting process parameters (such as distance, pressure and speed) and obtain minimum thickness variation, minimum surface roughness and maximum film adhesion. Empirical relation for thickness variation, surface roughness and film adhesion are presented. Test data are close-to/within the estimated range.
Keywords
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[14] M. Kaladhar, K. V. Subbaiah, Ch. Srinivasa Rao, K. Narayana Rao, Application of Taguchi approach and utility concept in solving the multi-objective problem when turning AISI 202 austenitic stainless steel, Journal of Engineering Science and Technology Review, Vol.4, pp.55-61(2011).
[15] P. Keerthanaa, K. Jeevitha, V. Navina, G. Indira, S. Jayamani, Automatic Wall Painting Robot, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), Vol. 2, Issue 7, pp.3009-3023 (2013).
[16] M. Kolli, S. K. Basha, N. K. Midatana, M. Bedhapudi, S.S. Desina,Multi parameters optimization of edm using grey entropy method, International Journal of Mechanical Engineering and Technology, Vol.8, No.5, pp. 446-457 (2017).
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[20] T. Parameshwaran Pillai, P. R. Lakshminarayanan and B. Nageswara Rao, Taguchi’s approach to examine the effect of drilling induced damage on the notched tensile strength of woven GFR-epoxy composite, Advanced Composite Materials, Vol.20, pp.261-275 (2011).
[21] D. Rajeev Kumar, P. S. S. K. Varma and B. Nageswara Rao, Optimum drilling parameters of coir fiber-reinforced polyester composites, American Journal of Mechanical and Industrial Engineering, Vol.2, No.2, pp.92-97 (2017)
[22] K. Rajyalakshmi and B. Nageswara Rao, Expected range of the output response for the optimum input parameters utilizing the modified Taguchi approach, Multidiscipline Modeling in Materials and structures, Vol.15, No.2, pp.508-522 (2019).
[23] K. Rajyalakshmi and B. Nageswara Rao, Modified Taguchi approach to trace the optimum GMAW process parameters on weld dilution for ST-37 steel plates, ASTM International Journal of Testing and Evaluation, Vol.47, No.4, pp.3209-3223 (2019).
[24] A. V. S. Ram Prasad, K. Ramji, B. Raghu Kumar, Study of wire-electrical discharge machining parameters of titanium alloy by using taguchi method, International Journal of Engineering and Technology(UAE) , Vol.7, No.2, pp. 10-12 (2018).
[25] M. G. Rani, C. V. S. P. Rao, K. R. Kotaiah,Experimental investigation on optimization of the controlling factors for machining al 6061/mos2 metal matrix composites with wire edm, International Journal of Applied Engineering Research, Vol.12, No.22, pp.12023-12028 (2017).
[26] P. J. Ross, Taguchi Techniques for Quality Engineering, McGraw-Hill, Singapore (1989).
[27] M. Sahiti, M Raghavendra Reddy, Budi Joshi, J. Peter Praveen and B. Nageswara Rao, Optimum WEDM process parameters of IncoloyAlloy800 using Taguchi method, International Journal of Industrial and Manufacturing Systems Engineering, Vol.1, No.3, pp.64-68 (2016)
[31] G. Satyanarayana, K. L. Narayana and B. Nageswara Rao, Optimal laser welding process parameters and expected weld bead profile for P92 steel, SN Applied Sciences (2019) 1:1291 — https://doi.org/10.1007/s42452-019-1333-3
[29] G. Satyanarayana, K. L. Narayana and B. Nageswara Rao, Identification of optimum laser beam welding process parameters for E110 zirconium alloy butt joint based on Taguchi-CFD simulations, Lasers in Manufacturing and Materials Processing, Vol.5, No.2, pp.182-193 (2018).
[30] S. Somanadha Sastry Konduri, V. M. Kumar Kalavala, P. Mandala, R.R. Manapragada and B. Nageswara Rao, Application of Taguchi approach to seek optimum drilling parameters for woven fabric carbon fibre/epoxy laminates, MAYFEB Journal of Mechanical Engineering, Vol.1, pp.29-37 (2017).
[31] G. Satyanarayana, K. L. Narayana and B. Nageswara Rao, Optimal laser welding process parameters and expected weld bead profile for P92 steel, SN Applied Sciences (2019) 1:1291 https://doi.org/10.1007/s42452-019-1333-3
[32] J. Singaravelu, D. Jeyakumar and B. Nageswara Rao, Taguchi’s approach for reliability and safety assessments in the stage separation process of a multistage launch vehicle, Reliability Engineering and System Safety, Vol.94,Issue 10, pp.1526-1541 (2009).
[33] J. Singaravelu, D. Jeyakumar and B. Nageswara Rao, Reliability and safety assessments on satellite separationprocess of a typical launch vehicle, Journal of Defense Modelling and Simulation, Vol.9, No.4, pp.369-382 (2012).
[34] S. Sreenivasulu, M. Venkatesulu, T. Vijaya Kumar, Comparisons of machining parameters in electro discharge machining of aluminum 6082 and hybrid NANO metal matrix composite, International Journal of Mechanical Engineering and Technology, Vol.8, No.5, pp.784-790 (2017).
[35] B. Srinivasa Rao, P. Rudramoorthy, S. Srinivas and B. Nageswara Rao, Effect of drilling induced damage on notched tensile strength and pin-bearing strength of woven GFR-epoxy composites, Materials Science & Engineering A, Vol.472, pp.347-352 (2008).
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[38] R. Talbert, Paint Technology Handbook, CRC Press, Boca Raton (2007).
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[43] S. Yu and L. Cao, Modeling and prediction of paint film deposition rate for robotic spray painting, IEEE International Conference on Mechatronics and Automation, pp. 1445-1450 (2011).
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[35] B. Srinivasa Rao, P. Rudramoorthy, S. Srinivas and B. Nageswara Rao, Effect of drilling induced damage on notched tensile strength and pin-bearing strength of woven GFR-epoxy composites, Materials Science & Engineering A, Vol.472, pp.347-352 (2008).
[36] H. J. Streitberger and K. F. Dossel, Automotive Paints and Coatings, Wiley, Hoboken (2008).
[37] A. Suresh, G. Diwakar,’Optimization of process parameters in turning operation of austenitic stainless steel rod using taguchi method and anova, International Journal of Mechanical and Production Engineering Research and Development, Vol.9, No.3, pp.379-386 (2019).
[38] R. Talbert, Paint Technology Handbook, CRC Press, Boca Raton (2007).
[39] D. Thakar and C. P. Vora, A Review on Design and Development of Semi-Automatic Painting Machine”, Int. Journal of Engineering Research and Applications, Vol.4, Issue 4, pp.58-61 (2014).
[40] L. I. Tong, C.T. Su and C. H. Wang, The optimization of multi-response problems in the Taguchi method, International Journal of Quality & Reliability Management, Vol.14, No.4, pp.367-380 (1997). https://doi.org/10.1108/02656719710170639
[41] M. Venkataiah, T. A. Kumar, K. V. Rao, S. A. Kumar, B. R. Sunil, Role of friction stir processing parameters on the microstructure and hardness of Ze41 Mg alloy: A Taguchi approach, Materials Performance and Characterization, Vol.8, No.1, pp.582-593 (2019).
[42] O. Yaga Dutta and B. Nageswara Rao, Investigations on the performance of chevron type plate heat exchangers, Heat and Mass Transfer, Vol.54, No.1, pp.227-239 (2018).
[43] S. Yu and L. Cao, Modeling and prediction of paint film deposition rate for robotic spray painting, IEEE International Conference on Mechatronics and Automation, pp. 1445-1450 (2011).
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Volume 12, Issue 2
November 2021Pages 1163-1174
- Receive Date: 11 April 2021
- Revise Date: 20 May 2021
- Accept Date: 24 June 2021