کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
833034 | 908129 | 2009 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Material properties and selection are very important in product design. To get more sustainable products, not only the technical and economic factors, but also the environmental factors should be considered. To satisfy the requirements, evaluation indicators of materials are presented. Environmental impacts were calculated by the Life Cycle Assessment method (LCA method). An integration of artificial neural networks (ANN) with genetic algorithms (GAs) is proposed to optimize the multi-objectives of material selection. It was validated by an example that the system can select suitable materials to develop sustainable products.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials & Design - Volume 30, Issue 4, April 2009, Pages 1209–1215
Journal: Materials & Design - Volume 30, Issue 4, April 2009, Pages 1209–1215
نویسندگان
Chang-Chun Zhou, Guo-Fu Yin, Xiao-Bing Hu,