A knowledge based system for automated design of deep drawing die for axisymmetric parts

Authors:
V. Naranje;S. Kumar
Affiliations:
Department of Technology, University of Pune, Pune, India;Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

Citing 8
Cited 1

A computer-aided design and manufacturing system for metal forming

Computers in Industry - Special issue on IMS'91—Learning in IMS
Some aspects of a knowledge-based approach for automating progressive metal stamping die design

Computers in Industry
Knowledge-based process layout system for axisymmetrical deep drawing using decision tables

Computers and Industrial Engineering
Automated design system for drawing dies

Expert Systems with Applications: An International Journal
An expert system for predicting the deep drawing behavior of tailor welded blanks

Expert Systems with Applications: An International Journal
An automated design system for progressive die

Expert Systems with Applications: An International Journal
Development of an expert system to aid engineers in the selection of design for environment methods and tools

Expert Systems with Applications: An International Journal
An expert system for setting parameters in machining processes

Expert Systems with Applications: An International Journal

Use of ANP weighted crisp and fuzzy QFD for product development

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

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.