کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
386813 660891 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A knowledge based system for automated design of deep drawing die for axisymmetric parts
ترجمه فارسی عنوان
یک سیستم مبتنی بر دانش برای طراحی اتوماتیک رسوب عمیق برای قطعات محوری متخلخل است
کلمات کلیدی
سیستم مبتنی بر دانش، طراحی خودکار، رسم عمیق مرگ، اتوکد
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• KBS is proposed to automate the design of deep drawing die for axisymmetric parts.
• The system has been tested successfully on wide variety of deep drawn parts.
• Even a novice or a semi-skilled designer can easily operate the system.
• The system is integrated, user interactive, flexible and has low cost of implementation.
• The system is very useful and easily affordable for small scale sheet metal industries.

This paper presents the research work involved in the development of a knowledge based system (KBS) for automated design of deep drawing die for axisymmetric parts. The production rule based KBS approach of artificial intelligence (AI) is utilized for development of the proposed system. The overall system is organized in 27 modules. System modules are coded in AutoLISP language and user interface is created using Visual Basic 6.0 and AutoCAD software. The proposed system is capable to automate all major activities of design of deep drawing die such as manufacturability assessment of deep drawn parts, design of strip-layout, process planning, selection of die components, and modeling of die components and die assembly. The system is user interactive, flexible and has low cost of implementation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 4, Part 1, March 2014, Pages 1419–1431
نویسندگان
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