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Open AccessJournal ArticleDOI

Knowledge-based Engineering for Process Planning and Die Design for Automotive Panels

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TLDR
In this article, a hybrid knowledge-based engineering (KBE) methodology is used to automate process planning and die design in automotive panel production using a novel KBE methodology, where case-based reasoning (CBR) is integrated into ordinary process planning.
Abstract
This work automates process planning and die design in automotive panel production using a novel knowledge-based engineering (KBE) methodology. Automotive panels are more complicated than common stamped parts because automotive panels are composed of groups of freeform surfaces. Stamping process planning identifies and sequences the necessary operations, finally producing the appropriate press dies. Case-based reasoning (CBR) is integrated into ordinary process planning and die design processes to generate a hybrid KBE system. Utilizing the CBR methodology to plan stamping process and design stamping dies for automotive panels reuses existing designs to develop new designs. In the proposed flexible system, process-planning and die-design functions can adapt existing designs or generate new designs based on stamping knowledge. Tacit knowledge of stamping parts is preserved and automotive panel manufacturing is accelerated by design automation when using the proposed KBE system.

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State of The Art-Intense Review on Artificial Intelligence Systems Application in Process Planning and Manufacturing

TL;DR: An attempt has been made for review on AI applications in Computer Aided Process Planning (CAPP) and manufacturing and role of Evolutionary Techniques (ET) in intelligent system development, execution of PP activities and manufacturing is described.
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Knowledge-based expert system in manufacturing planning: state-of-the-art review

TL;DR: In this paper, an effort has been made for intense review on Knowledge-Based Expert System applications in manufacturing planning and uniqueness of the present review work is addressed.
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A knowledge based system for automated design of deep drawing die for axisymmetric parts

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Task categorisation for identification of design automation opportunities

TL;DR: A means to foster the transition of academic methods to industrial practice through a comprehensible and comprehensive design automation task categorisation that allows practitioners to grasp the opportunities state-of-the-art design automation offers.
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A Knowledge Based System for Selection of Components of Deep Drawing Die

TL;DR: A knowledge based system developed for the selection of major components of a deep drawing die that can be implemented on a PC having AutoCAD software, therefore its low cost of implementation makes it affordable even for small scale sheet metal industries.
References
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Book ChapterDOI

A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

TL;DR: Two exact algorithms for maximum common subgraph detection are described and a database containing randomly connected pairs of graphs, having a maximum common graph of at least two nodes, is presented, and the performance of the two algorithms is evaluated.
Journal ArticleDOI

Knowledge based product life cycle systems: principles of integration of KBE and C3P

TL;DR: CAD developers should not attempt to provide the required KBE functionality as part of their product, but the CAD systems should be built with a fully open architecture to allow easy integration of a broad range of KBE software.
Journal ArticleDOI

Automated design system for drawing dies

TL;DR: An automated design system for drawing dies able to output designs of the main components of a drawing die upon users' input of design information of blank lines, die faces, punch open lines, press data, and types of subcomponents such as hooks, guides, and stopper seats is described.
Journal ArticleDOI

Design and Manufacturing of Sheet Metal Parts: Using Features to Aid Process Planning and Resolve Manufacturability Problems

TL;DR: In this article, an integrated system for the design and production of sheet-metal parts is described, where important features are automatically generated as the design progresses, and these features are used to produce parts on an automatic bending system.
Journal ArticleDOI

Applying knowledge-based engineering to traditional manufacturing design

TL;DR: The paper outlines the development of a knowledge-based engineering (KBE) system for hot forging design using state-of-the-art technology and the Internet to integrate the hot forge design process into a single framework for capturing knowledge and experience of design engineers.
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