کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7121156 | 1461463 | 2018 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experimental investigations and empirical modeling for optimization of surface roughness and machining time parameters in micro end milling using Genetic Algorithm
ترجمه فارسی عنوان
تحقیقات تجربی و مدلسازی تجربی برای بهینه سازی زبری سطح و پارامترهای زمان ماشینکاری در میکرو پایان آسیاب با استفاده از الگوریتم ژنتیک
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کلمات کلیدی
میکرو پایان فرز، سطح پایان، زمان ماشینکاری، الگوریتم ژنتیک، بهینه سازی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
Surface finish is a predominant requirement of a micro part inorder to perform satisfactory function. It is dependent on process variables such as cutting conditions, tool and work material properties, etc. In this work, an effort has been taken to propose realistic machining conditions for process improvement in micro end milling for C360 Copper alloy material. Solid Tungsten Carbide flat end mill cutter of size 700â¯Âµm and 800â¯Âµm are chosen as the tool material. Response surface methodology was incorporated for Design of experiments. First, experimental investigation was carried out to examine the effect of process condition include spindle speed and feed rate on Arithmetic Average Surface Roughness (Ra) and machining time values and also uncertainty in measured values. Analysis of variance was performed to establish the significant effect of cutting conditions on response values. Empirical model has been developed by experimental results using regression techniques in order to frame the fitness function. Parameters optimization for fine surface finish with minimum machining time has been carried out using Genetic Algorithm (GA). Confirmation experiments were carried out to validate the correctness of GA result and micro channels are fabricated successfully.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 124, August 2018, Pages 386-394
Journal: Measurement - Volume 124, August 2018, Pages 386-394
نویسندگان
S.P. Leo Kumar,