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Mathematical Modeling and Genetic Algorithm Based Exploration for Blanking Die Design Parameters Optimization of AISI 1020 Sheet Material
Abstract
In sheet metal blanking operation, several die design parameters affects the quality of the product and also productivity. The major input parameters includes 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 obtained 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 and converts the linear equations into the matrix form and then solve by the mathematical process. This output is compared with the genetic algorithm results, to get the better results.
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References
Pankaj, G. Dhoble, Dr. R. R. Deshmukh, Mr. Y. M. Wankhade& Mr. S. D. Yeole,(2015), “Optimization of Sheet Metal Blanking Process Parameters Using Taguchi Method and GreyRelationalAnalysis”,Indian Research Transaction, Vol. 5, No.2, pp. 100-104.
Chan. H.Y. and Abdullah. A.B. (2014), “Geometrical Defect in Precision Blanking/Punching: A Comprehensive Review on Burr Formation,” Research Journal of Applied Sciences, Engineering and Technology, Vol.8, pp. 1139-1148.
Quazi. T.Z., R. Shaikh, &AmolTotre ,(May 2013), “Blanking process optimization using Taguchi method”, International Journal of Engineering Research and Development, Volume 7, Issue 2 , pp. 45-51.
Soumya Subramonian, TaylanAltan, &BogdanCiocirlan (2013), “ Optimum selection of variable punch-die clearance to improve tool life in blanking non-symmetric shapes”, International Journal of Machine Tools & Manufacture, Vol.75, PP. 63-71.
AmolTotre, Rahul Nishad, &SagarBodke (2013), “An Overview of Factors Affecting in Blanking Processes”, Vol.3, pp.390-395.
Doriana M.D' Addona& Roberto Teti, (2013), “Genetic algorithm-based optimization of cutting parameters in turning processes”, Procedia CIRP,Vol.7, pp. 323 – 328.
Rahul Nishad, AmolTotre, SagarBodke and AngadChauhan (2013), “An Overview of The Methodologies Used in the Optimization Processes in Sheet Metal Blanking”, International Journal of Mechanical Engineering and Robotics Research, Vol.2, pp.307-314.
Quazi. T. Z. &R.S.Shaikh, (2012), “An Overview of Clearance Optimization in Sheet Metal Blanking Process”, International Journal of Modern Engineering Research, Vol.2, Issue.6, pp.4547-4558.
Emad Al-Momani, & Ibrahim Rawabdeh (2008), “An Application of Finite Element Method and Design of Experiments in the Optimization of Sheet Metal Blanking Process”, Vol.2, pp.53-63
Liu Wei, & Yang yuying (2008), “Multi-objective optimization of sheet metal forming process using Pareto-based genetic algorithm”, Journal of materials processing technology, Vol. 2 0 8, pp.499-506.
Ridha Hambli, (June 2005), “Optimization of blanking process using neural network simulation”, The Arabian Journal for Science and Engineering, Vol 30, PP. 135-139.
Naceur.H, Y.Q. Guo, J.L. Batoz (2004), “Blank optimization in sheet metal forming using an evolutionary algorithm”, Journal of Materials Processing Technology, pp.183-191
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