AI Applications in Sheet Metal Forming by Shailendra Kumar, Hussein M. A. Hussein PDF

By Shailendra Kumar, Hussein M. A. Hussein

ISBN-10: 981102250X

ISBN-13: 9789811022500

ISBN-10: 9811022518

ISBN-13: 9789811022517

This publication contains chapters on examine paintings performed worldwide within the sector of synthetic intelligence (AI) purposes in sheet steel forming. the 1st bankruptcy deals an creation to numerous AI strategies and sheet steel forming, whereas next chapters describe conventional procedures/methods utilized in a variety of sheet steel forming procedures, and concentrate on the automation of these procedures via AI recommendations, resembling KBS, ANN, GA, CBR, and so forth. function reputation and the manufacturability review of sheet steel components, procedure making plans, strip-layout layout, making a choice on the sort and measurement of die elements, die modeling, and predicting die existence are the most vital features of sheet steel paintings. typically, those actions are hugely experience-based, tedious and time eating. In reaction, researchers in numerous international locations have utilized a number of AI concepts to automate those actions, that are lined during this ebook. This booklet can be helpful for engineers operating in sheet steel industries, and should serve to supply destiny path to younger researchers and scholars operating within the area.

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Extra resources for AI Applications in Sheet Metal Forming

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21. Generic Classification and Representation … 33 Fig. 21 Hierarchy of classification criteria in feature definition of deformation features (Gupta and Gurumoorthy 2013) These six types of faces of each deformation feature along with face adjacency relationships are stored in the DIFF model (Gupta 2012). 2 Classification of Deformation Sheet-Metal Features The definition of deformation sheet-metal feature separates the generic content from the nongeneric content. This is similar to the definitions proposed for volumetric sheet-metal features.

19b. The SSFs are further classified as BSSFs (Boundary SSFs) or ISSFs (Interior SSFs) based on whether the SSF of a deformation feature in sheet-metal part is coinciding with the outer boundary shell face of the part or not. Part’s outer boundary shell faces are shown in red color in examples presented in Fig. 20. Examples of BSSFs are {3, 4}, {6, 7} in Fig. 20a, ISSFs are 10, 12 in Fig. 20b. Created Shell Faces (CSFs)—A shell face in a deformation feature which is shared by only one basic deformation feature, and there is no adjacent shell faces which are in the same plane then the shell face is classified as created shell face (CSFs) as shown in Fig.

There are two methods for feature extraction (i) Constructive solid geometry (CSG), and (ii) Boundary representation (B-rep) (Srinivasakumar et al. 1992). The CSG of the solid model is specified with a set of Boolean operations and a set of 3-D solid primitives. On the other hand, the B-rep of a solid model contains information about faces, edges, and vertices of a surface model and at the same time S. V. in R. R. University of Sc. com D. com S. A. com © Springer Science+Business Media Singapore 2017 S.

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AI Applications in Sheet Metal Forming by Shailendra Kumar, Hussein M. A. Hussein


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