By Shailendra Kumar, Hussein M. A. Hussein
This e-book includes chapters on examine paintings performed world wide within the region of man-made intelligence (AI) functions in sheet steel forming. the 1st bankruptcy bargains an advent to varied AI recommendations and sheet steel forming, whereas next chapters describe conventional procedures/methods utilized in quite a few sheet steel forming procedures, and concentrate on the automation of these procedures via AI recommendations, similar to KBS, ANN, GA, CBR, and so forth. function reputation and the manufacturability evaluation of sheet steel components, approach making plans, strip-layout layout, opting for the kind and measurement of die elements, die modeling, and predicting die existence are essentially the most vital elements of sheet steel paintings. ordinarily, those actions are hugely experience-based, tedious and time eating. In reaction, researchers in numerous international locations have utilized a variety of AI recommendations to automate those actions, that are coated during this booklet. This publication might 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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Additional info for AI Applications in Sheet Metal Forming
Gupta et al. (a) 2D profile as conic section (c) Example of polygonal volumetric features (b) 2D profile as regular polygon (d) Example of volumetric features Fig. 10 Type of volumetric sheet-metal features based on shape of the 2D proﬁle Fig. , are created by beading, bending, crimping, forming, folding, turning, joggling, embossing, lancing, louver operation, etc. Examples of deformation sheet-metal features are presented in Figs. 12 and 13. Deformation features are created in constant thickness part models, for example, deformation of material (as in sheet-metal parts) or forming of material (as in injection molded parts of constant thickness) also referred as constant thickness features (Lipson and Shpitalni 1998; Liu et al.
Next, the research efforts applied by worldwide researchers in the area of feature extraction and manufacturability assessment are reviewed. The third section describes a computer-aided system for automatic feature extraction of sheet metal parts. The next section presents a KBS for manufacturability assessment of sheet metal parts. In the ﬁfth section, validation of developed systems of feature extraction and manufacturability assessment has been presented by taking three industrial sheet metal parts.
Circle, ellipse, parabola or hyperbola as shown in Fig. 10a) then the volumetric feature is classiﬁed as circular, elliptical, parabolic, or hyperbolic volumetric feature, respectively. , 3-sides, 4-sides, … n sides as shown in Fig. 10b) then the volumetric feature is classiﬁed as 3 sides, 4 sides, … n sides polygonal volumetric feature, respectively. The number of planar CSFs in the feature deﬁnes the type of polygonal volumetric feature in a sheet-metal part model. A polygonal volumetric feature is a regular polygonal volumetric feature if length of all edges in 2D proﬁle is same and angle between adjacent edges is same else it is irregular polygonal volumetric feature.
AI Applications in Sheet Metal Forming by Shailendra Kumar, Hussein M. A. Hussein