Expert System Approach for Manufacturability Evaluation of Nd: YAG Laser Beam Machining Process
Publish place: International Journal of Advanced Design and Manufacturing Technology، Vol: 10، Issue: 2
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
View: 167
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ADMTL-10-2_002
تاریخ نمایه سازی: 18 اردیبهشت 1400
Abstract:
In this paper, an expert system (ES) is developed for manufacturability evaluation of ND:YAG laser in computer based concurrent engineering. The expert system evaluates machining cycle time and cost in less than ۳۰ seconds. Experimental verification and validity of the expert system is carried out. The results of expert system are compared with the results of experimental laser beam machine. Results are presented. The results of the expert system show machining cycle time and cost for expert system is about ۱۰ percent less than the experimental one. In addition material is selected by the expert system. It gives valuable information to help designers and manufacturing engineers to improve design and manufacturing. The expert system links with design feature library, material database and laser beam machine database. The design specification is acquired through a feature based approach. Material database holds attributes of more than ۱۰ types of materials. Laser beam machine database holds attributes of ۲ types of laser beam machine and machine parameters. For each design feature, the expert system provides information needed for manufacturability evaluation and estimation of machining cycle time and cost. It can be used for design and manufacturing optimization. The expert system can be used as an advisory system for designers and manufacturing engineers. It can be used as a teaching program for new laser operators in computer based concurrent engineering environment.
Keywords:
Authors
M. Sadegh Amalnik*
Department of Mechanical Engineering, University of Qom, Qom, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :