Development of Mathematical Modeling and its Exploration Based on Genetic Algorithm for Blanking Die Design Parameters Optimization

Abstract:

The blanking operation have several die design parameters which affect the quality of the blank and its productivity. The main input parameters are sheet thickness and the punch and die clearance and the dependent output parameters are tool life and the burr height. The selected values should be in optimal value. The optimum value is achieved by using the genetic algorithm. The genetic algorithm is an optimization process to find the better results as an output. Then the development of mathematical modeling by using the equations derived from the multiple regression analysis is performed. It is achieved by converting the linear equations into the matrix form and then solving it using mathematical relations. This output is compared with the genetic algorithm results, to get the better results.

• Periodical: Applied Mechanics and Materials (Volume 877)
• Pages: 54-59
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.877.54
• Online since: February 2018
• Authors: R.C. Mohan Kumar, C. Velmurugan*
• Keywords: Blanking, Genetic Algorithm, Mathematical Modeling, Multiple Regression Analysis, Optimization

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