Development of a new method to automatic nesting and piloting system design for progressive die
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Over the last few decades, sheet metal parts have had a number of applications in the industry. The most important and most used type of the dies to production these parts is progressive dies. Computer-aided design of these dies consists of a considerable number of sections. The two most important types of these sections are nesting and piloting. Finding the best nesting plays an important role in the final cost of production and for an accurate strip positioning, the appropriate piloting system is required. In this paper, a new method for curve recognition by dividing part’s element into component points is presented for finding the best nesting and piloting state. Curve recognition data and the algorithms for finding the best nesting and piloting system were obtained just by using algebraic equations. This method leads to a decrease in the time of design. The best nesting for all parts that includes line and circular arc will be obtained with the high precision. The semi-direct and indirect pilot hole centers and its diameter will be obtained by defining four matrixes. This system is written in visual basic programming language in the SOLIDWORKS 2010 software. Finally, to compare the system’s results to similar system, the nesting and piloting systems for the number of samples are analyzed.
KeywordsComputer-aided design Progressive die Nesting Curve recognition Piloting
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