Multiple Response Prediction and Optimization in Thin-Walled Milling of 6061 Aluminum Alloy
نویسندگان
چکیده
In this study, the multi-objective optimization method for thin-wall milling of 6061 aluminum alloy is addressed. The technological parameters including cutting speed Vc, feed tooth fz, and width cut ar are considered input variables, while manufacturing responses surface roughness Ra, production rate MRR, flatness deviation FL. goal to find optimum minimize Ra FL maximize at same time. To solve problem, desirability function approach was used based on Taguchi orthogonal array. Twenty-seven experiments were conducted measured data collected. mathematical regression models then generated evaluated by using analysis variance method. Then, multiple objective problems solved approach. set Vc=120m/min, fz=0.06mm, ar=0.13131mm, corresponding Ra=0.1613µm, MRR=17197.45cm3/min, FL=0.0995mm.
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ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2023
ISSN: ['1792-8036', '2241-4487']
DOI: https://doi.org/10.48084/etasr.5667