By Shailendra Kumar, Hussein M. A. Hussein
This ebook contains chapters on study paintings performed all over the world within the sector of synthetic intelligence (AI) purposes in sheet steel forming. the 1st bankruptcy bargains an creation to varied AI innovations and sheet steel forming, whereas next chapters describe conventional procedures/methods utilized in numerous sheet steel forming strategies, and concentrate on the automation of these procedures via AI suggestions, similar to KBS, ANN, GA, CBR, and so forth. function attractiveness and the manufacturability evaluate of sheet steel components, procedure making plans, strip-layout layout, deciding on the kind and measurement of die parts, die modeling, and predicting die existence are probably the most very important elements of sheet steel paintings. ordinarily, those actions are hugely experience-based, tedious and time eating. In reaction, researchers in different nations have utilized a number of AI strategies to automate those actions, that are lined during this e-book. This booklet may be necessary 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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Comput Aided Des 30:727–739 Geometric Limited (2012) Sheet metal feature recognition. com/. Accessed 16 Feb 2012 Gupta RK, Gurumoorthy B (2008a) A feature-based framework for semantic interoperability of product models. Strojniski vestnik—Journal of Mechanical Engineering 54(6):446–457. ISSN 0039–2480 Gupta RK, Gurumoorthy B (2008b) Extending feature based semantic interoperability for sheet-metal product development. In: Proceedings of international conference on trends in product lifecycle modeling, simulation and synthesis, PLMSS 2008, Bangalore, India, pp 236– 246 Gupta RK, Gurumoorthy B (2013) Classiﬁcation, representation, and automatic extraction of deformation features in sheet metal parts.
Illiev et al. (1989) developed a system, which mainly addresses the technical preparation in the production of flat parts by stamping. The major limitation of this system is that it involves large number of mathematical calculations of the geometrical 46 S. Kumar et al. characteristics of the sheet metal part just like the traditional methods being used in industries. The Technology Check module of the computer-aided die design system (CADDS) proposed by Prasad and Somasundaram (1992) is capable of assessing the feasibility of sheet metal blank for the blanking process.
19a. The CSFs are further classiﬁed as BCSFs (Boundary CSFs) or ICSFs (Interior CSFs) based on whether the CSF of a deformation feature in sheet-metal part is coinciding with the outer boundary shell face of the part or not. Examples of BCSFs are 5 in Fig. 20a, ICSFs are 11 in Fig. 20b. Since the deformation sheet-metal features are deﬁned in terms of six types of faces (CBEFs, CWEFs, BSSFs, ISSFs, BCSFs, ICSFs), the feature deﬁnitions are consistent and amenable to automated reasoning. Hierarchical structure of classiﬁcation of these faces in a deformation sheet-metal feature is shown in Fig.