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Research Paper | Mechanical Engineering | India | Volume 5 Issue 2, February 2016
Optimization of Sheet Metal Thickness and Die Clearance of Progressive Press Tool Using Finite Element Analysis and Artificial Neural Network Technique
Asif Nizam | Morrish Kumar  | Man Mohan Soni 
Abstract: A progressive die performs a series of fundamental sheet-metal operations at two or more stations during each press stroke in order to develop a work piece as the strip stock moves through the die. Progressive die components are modeled in SOLID WORKS with selected dimensions for selected tool component. The main advantage of computer-aided progressive die design and machining is ability to build precision tooling in less time and at a lower cost. In this project main steps are Design and FEA analysis. This design is the optimal design. By using this design we can produce accurate components. This project basically focus on optimization of thickness and die clearance for a given range of cutting forces in order to minimize the stresses produced in die plate block which will lead to lesser deformation on the plate which will further lead to accurate sheet metal components produced by the progressive press tool. The optimized design parameters will be validated using remodeled components in ANSYS Software and further also compared with theoretically calculated design parameters.
Keywords: Press Tool, Sheet Metal Thickness, Die Clearance, Artificial Neural Network
Edition: Volume 5 Issue 2, February 2016,
Pages: 1698 - 1705
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