Danthala, Swetha, Rao, Seeram, Rao, Boggarapu, Mannepalli, Kasiprasad. (1400). Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters. هنرهای کاربردی, 12(2), 1163-1174. doi: 10.22075/ijnaa.2021.5193
Swetha Danthala; Seeram Srinivasa Rao; Boggarapu Nageswara Rao; Kasiprasad Mannepalli. "Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters". هنرهای کاربردی, 12, 2, 1400, 1163-1174. doi: 10.22075/ijnaa.2021.5193
Danthala, Swetha, Rao, Seeram, Rao, Boggarapu, Mannepalli, Kasiprasad. (1400). 'Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters', هنرهای کاربردی, 12(2), pp. 1163-1174. doi: 10.22075/ijnaa.2021.5193
Danthala, Swetha, Rao, Seeram, Rao, Boggarapu, Mannepalli, Kasiprasad. Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters. هنرهای کاربردی, 1400; 12(2): 1163-1174. doi: 10.22075/ijnaa.2021.5193

Multi-objective optimization with modified Taguchi approach to specify optimal robot spray painting process parameters

International Journal of Nonlinear Analysis and Applications
دوره 12، شماره 2، بهمن 2021، صفحه 1163-1174    اصل مقاله (2.73 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5193
نویسندگان
Swetha Danthala* 1؛ Seeram Srinivasa Rao2؛ Boggarapu Nageswara Rao2؛ Kasiprasad Mannepalli3
1Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
2Department of Mechanical Engineering, K L Deemed to be University, Vaddeswaram, Guntur (Dist), Andhra Pradesh, India.
3Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Dist), Vijayawada, Andhra Pradesh, India.
چکیده
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.
کلیدواژه‌ها
ANOVA؛ Automated paint؛ Distance؛ Film adhesion؛ Pressure؛ Speed؛ Surface roughness؛ Thickness variation
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