An Intelligent Object-Oriented Approach to the Design and Assembly of Press Tools

Ismail, Hossam; Hon, K.K.B.; Huang, Kun-Min

doi:10.1016/s0007-8506(07)62282-3

Cited by 17 publications

(5 citation statements)

References 5 publications

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“…In Ismail et al (1995), that is a case study on the development of an intelligent system for progressive die design and manufacturing, the authors noticed that it is very difficult to elicit (and hence to share) 'the design know-how from experienced designers.' It can be inferred from the research that this difficulty is caused by the tacit peculiarity of that type of know-how.…”

Section: Manufacturing Know-howmentioning

confidence: 99%

The meaning of manufacturing know-how

Kryssanov

Абрамов

Fukuda

et al. 1998

Globalization of Manufacturing in the Digital Communications Era of the 21st Century

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This paper investigates the phenomenon of manufacturing know-how. First, the abstract notion of knowledge is discussed, and a terminological basis is introduced to treat know-how as a kind of knowledge. Next, a brief survey of the recently reported works dealt with manufacturing know-how is presented, and an explicit definition of know-how is formulated. Finally, the problem of utilizing know-how with knowledge-based systems is analyzed, and some ideas useful for its solving are given.

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Section: Manufacturing Know-howmentioning

confidence: 99%

The meaning of manufacturing know-how

Kryssanov

Абрамов

Fukuda

et al. 1998

Globalization of Manufacturing in the Digital Communications Era of the 21st Century

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“…Similar to Cheok et al, 15 Ghatrehnaby and Arezoo [16][17][18][19] also used the medial-axis technique to retrieve punch shapes in case of progressive dies. Ismail and colleagues [20][21][22] proposed a mathematical technique based on vector-to-vector coding. The system was built for progressive dies and coded with C+ + .…”

Section: Introductionmentioning

confidence: 99%

Development of a method to recognize punch shapes for progressive dies

Hussein

Wang²,

Qudeiri

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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A generic method for automatic shape recognition on two-dimensional contours, particularly used for recognizing punch shapes for progressive dies, is presented in this article. In this work, shapes of two-dimensional contours are defined by shape templates using a sequence of symbols, lists, and numbers, and their definitions are stored in a specially designed database for the minimum number of shape definitions to be retrieved during shape recognition for optimal computational efficiency. When a contour is input from a computer-aided design system for shape recognition, the computer-aided design data are translated into shape components and input to the shape recognition device. Upon successful recognition of a shape, the shape code will be composed and its dimensional values will be extracted. Standard or special punch purchase code may be created automatically through this method.

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“…Sheet metal processes are widely used in industries to manufacture these parts because its repeatability and high productivity [1]. Current market demands that sheet metal parts should be produced to precise shape or near precise shape with improved mechanical properties, smooth surface finish, good dimensional accuracy and material savings depending on service conditions [2][3][4][5][6]. Sheet metal manufacturer has to face a number of challenges like proper design of press tools (dies) to produce parts without any surface or internal defects, lower manufacturing cost, high productivity, minimum scrap and energy consumption [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Applications of Artificial Neural Network to Sheet Metal Work - A Review

Kashid¹,

Kumar²

2013

AJIS

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Design of sheet metal components and press tools demands a high level of knowledge and industrial experience on the part of designers. Recently, various artificial intelligence (AI) techniques are being used in sheet metal work to reduce complexity; minimize the dependency on human expertise and time taken in design of parts and dies as well as to improve the design efficiency. Artificial neural network (ANN) technique is one of the most powerful tools for solving engineering design problems and minimizing errors in experimental data. This paper describes a comprehensive review of applications of ANN technique to sheet metal work. Major published research work in the domain area is summarized in tabular form. Based on the critical review of available literature, further research scope is identified. The present literature review reveals that there is stern need to apply ANN technique to press tool design and to predict tool life in sheet metal industries.

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An Intelligent Object-Oriented Approach to the Design and Assembly of Press Tools

Cited by 17 publications

References 5 publications

The meaning of manufacturing know-how

The meaning of manufacturing know-how

Development of a method to recognize punch shapes for progressive dies

Applications of Artificial Neural Network to Sheet Metal Work - A Review

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