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https://doi.org/10.17559/TV-20150526131717

Optimization of machining parameters for turning operation with multiple quality characteristics using Grey relational analysis

Franko Puh orcid id orcid.org/0000-0003-2467-0394 ; Uljanik Strojogradnja d.d., Flaciusova 1, p.p. 114, HR-52100 Pula, Croatia
Zoran Jurkovic orcid id orcid.org/0000-0002-7202-156X ; Department of Industrial Engineering and Management, Faculty of Engineering, University of Rijeka, Vukovarska 58, HR-51000 Rijeka, Croatia
Mladen Perinic orcid id orcid.org/0000-0003-3028-8466 ; Department of Industrial Engineering and Management, Faculty of Engineering, University of Rijeka, Vukovarska 58, HR-51000 Rijeka, Croatia
Miran Brezocnik ; Production Engineering Institute, Faculty of Mechanical Engineering, University of Maribor Smetanova 17, SI-2000 Maribor, Slovenia
Stipo Buljan ; Federal Ministry of Energy, Mining and Industry, A. Šantića bb, BA-88000 Mostar, Bosnia and Herzegovina


Puni tekst: hrvatski pdf 488 Kb

str. 377-382

preuzimanja: 1.523

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Puni tekst: engleski pdf 488 Kb

str. 377-382

preuzimanja: 1.604

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Sažetak

Optimization of machining processes is essential for achieving of higher productivity and high quality products in order to remain competitive. This study investigates multi-objective optimization of turning process for an optimal parametric combination to provide the minimum surface roughness (Ra) with the maximum material-removal rate (MRR) using the Grey–Based Taguchi method. Turning parameters considered are cutting speed, feed rate and depth of cut. Nine experimental runs based on Taguchi’s L9 (34) orthogonal array were performed followed by the Grey relational analysis to solve the multi-response optimization problem. Based on the Grey relational grade value, optimum levels of parameters have been identified. The significance of parameters on overall quality characteristics of the cutting process has been evaluated by the analysis of variance (ANOVA). The optimal parameter values obtained during the study have been validated by confirmation experiment.

Ključne riječi

ANOVA; Grey relational analysis; multi-objective optimization; Taguchi method; turning

Hrčak ID:

156824

URI

https://hrcak.srce.hr/156824

Datum izdavanja:

27.4.2016.

Podaci na drugim jezicima: hrvatski

Posjeta: 5.587 *