Knowledge-Based System for Design of Deep Drawing Die for Axisymmetric Parts

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Abstract

This chapter describes a knowledge-based system (KBS) developed for 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 4 subsystems and 27 modules. System modules are coded in AutoLISP language and user interface is created using Visual Basic 6.0 and interface with AutoCAD software. The proposed system is capable to automate all major activities of design of deep drawing die such as process planning, design of strip-layout, selection of die components, and modeling of die components and die assembly. The system is user interactive, flexible, and has low cost of implementation.

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Naranje, V., & Kumar, S. (2017). Knowledge-Based System for Design of Deep Drawing Die for Axisymmetric Parts. In Topics in Mining, Metallurgy and Materials Engineering (pp. 93–119). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-10-2251-7_5

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