چکیده مقاله
Milling is one of the most important machining operations in industrial production systems Since a long time ago, Multiobjective optimization of milling according to the inherent complexity of process is a competitive engineering issue This act determines the necessity of applying combination techniques in multi objective optimization of process In this paper using Taguchi Method Grey Analysis TMGA , multi criteria optimization of milling was performed Material Removal Rate MRR , Tool Life TL and Surface Roughness SR of machined parts are considered as productivity goals and cutting speed, depth of cut and feed rate of cutting tool as the process controllable variables Optimal process parameters are determined by the grey relational grades obtained from the grey generation for multiple performance characteristics obtained from taguchi Design of Experiments DOE In addition, effect of parameters on each objective was evaluated using Analysis of Variance ANOVA This study demonstrates that proposed method can be used for high precision optimization and variable’s effect evaluation Result obtained by TMGA match closely with ANOVA and it’s concluded that the feed rate of cutting tool is most affecting milling factor
کلیدواژهها
نویسندگان
F. Kolahan
Department of Mechanical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Iran
R. Gomezerji
Department of Mechanical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Iran
M. Azadi Moghaddam
Department of Mechanical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Iran
شیوه ارجاع
Kolahan, F. and Gomezerji, R. and Azadi Moghaddam, M.,1390,Application of Taguchi Method Grey Analysis and ANOVA in Optimization of Titanium Alloys Milling,12th Iranian Conference on Manufacturing Engineering (ICME 2010),Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران6 دی 1390 · تهران