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2017 | OriginalPaper | Buchkapitel

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

verfasst von : Vishal Naranje, Shailendra Kumar

Erschienen in: AI Applications in Sheet Metal Forming

Verlag: Springer Singapore

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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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Metadaten
Titel
Knowledge-Based System for Design of Deep Drawing Die for Axisymmetric Parts
verfasst von
Vishal Naranje
Shailendra Kumar
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-2251-7_5

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