Fixture Layout Optimization for Large Metal Sheets Using Genetic Algorithm

نویسندگان

  • Zeshan Ahmad
  • Matteo Zoppi
  • Rezia Molfino
چکیده

The geometric errors in the manufacturing process can be reduced by optimal positioning of the fixture elements in the fixture to make the workpiece stiff. We propose a new fixture layout optimization method N-3-2-1 for large metal sheets in this paper that combines the genetic algorithm and finite element analysis. The objective function in this method is to minimize the sum of the nodal deflection normal to the surface of the workpiece. Two different kinds of case studies are presented, and optimal position of the fixturing element is obtained for different cases. Keywords—Fixture layout, optimization, fixturing element, genetic algorithm.

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تاریخ انتشار 2013