Green Remanufacturing Engineering in Structural Machinery Based on Reverse Engineering

التفاصيل البيبلوغرافية
العنوان: Green Remanufacturing Engineering in Structural Machinery Based on Reverse Engineering
المؤلفون: Guixia Zhou, Tao Yao, Huibo Wu, Guolin Duan
المصدر: 2008 International Conference on Security Technology.
بيانات النشر: IEEE, 2008.
سنة النشر: 2008
مصطلحات موضوعية: Sustainable development, Reverse engineering, business.industry, Computer science, Automotive industry, computer.software_genre, Product engineering, Field (computer science), Manufacturing engineering, Resource (project management), Product (category theory), business, Remanufacturing, computer
الوصف: Developing sustainable approaches to manufacture is a critical global problem concerned by people with a lack of resource on Planet Earth. An increasing interest in product take-back, product recovery and the redistribution has been concerned increasingly. Such as green remanufacturing, in particular, has a strong history of product recovery operations in the automotive sector. It can be both more profitable and less harmful to the environment compare with conventional manufacturing. However, the application of green remanufacturing in structural machinery didn?t draw attention. This paper provides the background of green remanufacturing together with the way of product recovery reverse engineering theory. Such as, study target, content, methods, design order, key technology and application of reverse engineering. This method can measure and evaluate wear of machine parts which have complicated curved surface quantitatively, accurately and visualization ally. Reverse engineering methods and technologies play an important role in many software engineering tasks of product model. The significance of this research contributes to theory, to industry and to future research in the field.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c023f02a8b45cbcd32842e3b7667e7bd
https://doi.org/10.1109/sectech.2008.21
رقم الأكسشن: edsair.doi...........c023f02a8b45cbcd32842e3b7667e7bd
قاعدة البيانات: OpenAIRE