Expert systems for metal forming

Tisza, Miklós

doi:10.1016/0924-0136(95)01999-u

Cited by 58 publications

(25 citation statements)

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“…Altan et al [5,6] developed a knowledgebased system in axisymmetric sheet metal. Tisza [7] presented a group technology and modularity in an expert system. Much research has been carried out on deep drawing, but it has mainly dealt with axisymmetric products to date.…”

Section: Introductionmentioning

confidence: 99%

Development of an automated process sequence design system for multistage elliptical-Shaped deep drawing products

et al. 2001

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This study defined the cross-section consisting of a round in the major axis and a straight line in the minor axis for deep drawing product as elliptical. A process sequence design for elliptical-shaped deep drawing products was diversely proposed according to shape, dimension, and specification of products. This study presents two approaches to the design of a preform, a key process for elliptical-shaped products: using a punch with a circular cross-section, and for geometrical similarity of the intermediate process cup and final product, using a punch with a cross-section similar to that of the oval-shaped cup. In addition, blank shapes for elliptical-shaped products were designed and verified with experimental results. In the study, production rules, which play important roles in an automated process sequence design system, based on two approaches mentioned above and blank design, were generated for elliptical-shaped deep drawing products. The system developed on the production rules consists of a recognition module of input geometry, 3-D modeling to calculate surface area automatically, blank design, and a process planning module. Improving productivity and reducing time and cost would prove to be very useful.

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Section: Introductionmentioning

confidence: 99%

Development of an automated process sequence design system for multistage elliptical-Shaped deep drawing products

et al. 2001

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“…Within this systematic development various program packages have been elaborated. Among them first a general CAD/CAPP/CAM system for the process planning of sheet forming processes performed in progressive dies should be mentioned [3]. In this system, the process planning and the die-design functions are integrated into a knowledge-based expert system.…”

Section: Knowledge Based Systems In Sheet Metal Formingmentioning

confidence: 99%

Numerical modelling and simulation in sheet metal forming

Tisza

2004

Journal of Materials Processing Technology

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The application of the methods of Computer Aided Engineering in sheet metal forming is looking back for several decades. It covers a wide range of activities from the product design through the process planning and process control including sophisticated methods of modelling and simulation. Among the CAE activities, recently the development of Knowledge Based Systems has become an emerging field. Most of the available Knowledge Based Systems are based on simplified plasticity theory and empirical technological rules. Therefore, they are usually not able to give accurate solutions and reliable predictions for complicated forming processes. In the last two decades, significant progress has been also achieved in the numerical modelling of forming processes. In spite of the enormous development of hardware and software facilities, the exclusive use of numerical modelling still seems to be very time-and cost consuming. Therefore the integration of these two fields has great practical importance. In this paper, the challenges and opportunities of the integration of Knowledge Based Systems and Finite Element Modelling in the process planning of multi-step sheet forming processes will be given.

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“…Fang et al [8] developed a rule-based expert system for process planning of complex circular shells produced by deep drawing process. An expert system called METEX (Metal Forming Expert System) was developed by Tisza [9] using the principles of group technology to the process planning of multi-stage forming processes. Esche et al [10] reported a rule-based expert system to generate the process sequence, tool geometry, and to predict potential problems for the multi-stage deep drawing process.…”

Section: Introductionmentioning

confidence: 99%

“…Out of these, KBS approach is widely used by various researchers [4,[6][7][8][9][10][11][12][13][14][15][16][17] to ease the complexities of process planning in sheet metal forming and design of dies. For example, Karima and Richardson [6] proposed a framework of expert system in metal forming.…”

Section: Introductionmentioning

confidence: 99%

A Knowledge Based System for Selection of Components of Deep Drawing Die

Naranje¹,

Kumar

2012

AJIS

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Design of deep drawing die is a skilled and experienced based activity. Selection of die components is a vital step in the design process of a deep drawing die. This paper describes a knowledge based system (KBS) developed for the selection of major components of a deep drawing die. The proposed system uses production rule based approach of artificial intelligence (AI) and consists of eight modules. Production rules are coded in AutoLISP language and user interface is created in Visual Basic 6 on AutoCAD platform. The system output includes recommendations for selection of proper type and size of various die components of deep drawing die like die block, stripper, die gages, punch plate, die set, fasteners, etc. Validation of the proposed system is demonstrated by taking an industrial sheet metal part. As this system 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.

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Expert systems for metal forming

Cited by 58 publications

References 1 publication

Development of an automated process sequence design system for multistage elliptical-Shaped deep drawing products

Development of an automated process sequence design system for multistage elliptical-Shaped deep drawing products

Numerical modelling and simulation in sheet metal forming

A Knowledge Based System for Selection of Components of Deep Drawing Die

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