Development of a Knowledge-Based Process Planning System for an Auto Panel

Shi, Xing; Chen, J.; Peng, Yinghong; Ruan, Xiaogang

doi:10.1007/s001700200102

Cited by 12 publications

(3 citation statements)

References 12 publications

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“…Consequently, the whole procedure of process planning cannot do without effective support of process knowledge. Knowledge-based CAPP system is exactly a kind of CAPP system by which the organic combination between computer intelligence and human decisionmaking ability via an appropriate human-computer interaction mode in the course of process planning, and more important, the reliable utilization and accumulation of process knowledge, can be realized on the basis of the acquisition, expression, arrangement, transmission, and sharing of process knowledge (Vosniakos and Giannakakis, 2013;Zheng et al, 2008;Tor et al, 2005;Shi et al, 2002;Law et al, 2001). In a word, its goal is to transfer the most appropriate process knowledge to the right people at the right time so as to help them make rapid and accurate decisions on process planning, and to achieve the moderate automation and intellectualization of process planning.…”

Section: Introductionmentioning

confidence: 99%

Integrating granular computing and bioinformatics technology for typical process routes elicitation: A process knowledge acquisition approach

Zhou

Dai

2015

Engineering Applications of Artificial Intelligence

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Section: Introductionmentioning

confidence: 99%

Integrating granular computing and bioinformatics technology for typical process routes elicitation: A process knowledge acquisition approach

Zhou

Dai

2015

Engineering Applications of Artificial Intelligence

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“…However, only a few studies have focused on process-planning systems for stamping automotive panels using KBE. Shi et al [16] developed a knowledge-based process planning system, consisting of knowledge acquisition, knowledge representation and knowledge-based design, to fully support automotive panel die development and design automation. Leake et al [11] employed a set of principles and techniques for integrated case-based design support systems.…”

Section: Introductionmentioning

confidence: 99%

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

Tsai

You

Lin

et al. 2010

Computer-Aided Design and Applications

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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. 76 engineering applications. Wang and Bourne [20] identified important features for the sheet-metal bending process. The application of features and potential problems associated with feature interaction were also discussed. Tang et al. [18] proposed an intelligent feature-based design for a stamping system to evaluate stamping ability. Smith et al.[17] devised a relational system that efficiently integrates feature-based process planning and expert system strategies for sheet-metal parts. However, successful extraction of stamping features during the feature recognition phase is difficult with feature-based techniques, especially when features intersect.An increasing number of advanced technologies, including knowledge-based engineering (KBE), are adopted to support various aspects of the product life-cycle [14][15]. Notably, KBE is a novel artificial intelligence methodology for solving engineering problems. Using intelligent methods for process planning and die design enhances design quality and the ability for innovative design. Based on the KBE technique, engineering tasks are carried out using knowledge not immediately accessible. Therefore, utilizing the KBE methodology, in which experience and knowledge used in current designs improves production efficiency of panel stamping [2].

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“…Kang and Park [7] proposed a computer-aided process planning (CAPP) system for rotationally symmetric deep drawing products. Shi et al [8] developed a knowledge-based process planning system to support auto panel die development and design automation. A computerized *For correspondence retrieval system for sheet metal parts was proposed by Hussein and Kumar [9].…”

Section: Introductionmentioning

confidence: 99%

An expert system for process planning of sheet metal parts produced on compound die for use in stamping industries

et al. 2016

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Process planning of sheet metal part is an important activity in the design of compound die. Traditional methods of carrying out this task are manual, tedious, time-consuming, error-prone and experiencebased. This paper describes the research work involved in the development of an expert system for process planning of sheet metal parts produced on compound die. The proposed system is organized in six modules. For development of system modules, domain knowledge acquired from various sources of knowledge acquisition is refined and then framed in form of 'IF-Then' variety of production rules. System modules are coded in AutoLISP language and user interface is created using visual basic (VB). The system is capable to automate various activities of process planning including blank modeling, blank nesting, determining punch force required, selection of clearance between punch and die, identifying sheet metal operations, and determining proper sequence of operations for manufacturing the part. The proposed system can be implemented on a PC having VB and AutoCAD software, therefore its low cost of implementation makes it affordable even for small scale sheet metal industries.

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Development of a Knowledge-Based Process Planning System for an Auto Panel

Cited by 12 publications

References 12 publications

Integrating granular computing and bioinformatics technology for typical process routes elicitation: A process knowledge acquisition approach

Integrating granular computing and bioinformatics technology for typical process routes elicitation: A process knowledge acquisition approach

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

An expert system for process planning of sheet metal parts produced on compound die for use in stamping industries

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