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Contribution to the assessment of economic viability of hard milling process

Sonja Jozić orcid id orcid.org/0000-0002-7570-5799 ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering Technology, Ruđera Boškovića 32, 21000 Split, Croatia
Dražen Bajić ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering Technology, Ruđera Boškovića 32, 21000 Split, Croatia
Ivan Samardžić ; Mechanical Engineering Faculty in Slavonski Brod, J. J. Strossmayer University of Osijek, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia


Puni tekst: hrvatski pdf 883 Kb

str. 1329-1336

preuzimanja: 360

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Puni tekst: engleski pdf 883 Kb

str. 1329-1336

preuzimanja: 331

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Sažetak

Hard milling is milling of the parts with hardness of above 45 HRc. As a technology in the development, hard milling has a potential to replace the procedure which includes milling and finishing operations like grinding or electrical-discharge machining. The process parameters and machining performance considered in this work deal with the real experimental data in the down and up milling as well as down and up hard milling process. Based on the optimal parameters of observed processes, the estimation of economical and quality sustainability of hard milling process, regarding the conventional milling process of hardened steel, has been carried out. Genetic algorithms are used to estimate optimal values of cutting parameters that lead to a minimum unit machining time and a minimum unit production costs. Optimal values, obtained by means of genetic algorithms, have been compared with the results obtained by using simulated annealing optimization. The results of this study showed that down hard milling costs are 14 % higher than the costs of down milling while the costs of up hard milling are 4,48 % higher than the costs of up milling. This is a source data for a detailed comparison of standard procedure of machining parts increased hardness and hard milling procedure.

Ključne riječi

flank wear, genetic algorithms, hard milling, regression analysis, simulated annealing

Hrčak ID:

131326

URI

https://hrcak.srce.hr/131326

Podaci na drugim jezicima: hrvatski

Posjeta: 1.085 *