Analysis and optimization of fixture under dynamic machining condition with chip removal effect

  • Authors:
  • K. Siva Kumar;G. Paulraj

  • Affiliations:
  • Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India 638401;Department of Production Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, India 620009

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2014

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Abstract

Dynamic interactions in the tool---workpiece and workpiece---fixture systems significantly impinge on the quality of finished workpieces. The presented simulation system integrates the effects of workpiece fixture dynamics with the other factors contributing to the machining process dynamics. It provides more accurate prediction of the process output which helps in the design of the optimum fixture configuration prior to the production stage. Modelling of the frictional contact behaviour between the fixture element and the workpiece helps to improve the prediction accuracy of the simulation system which accelerates the convergence to the optimum fixture configuration design and consequently improves the machined part dimensional accuracy and geometric integrity. The developed simulation is capable of modelling complicated part geometries by interfacing with commercial ANSYS.V10® packages. This research work minimizes the deformation of workpiece using integrated optimization tool of Genetic algorithm (GA) and ANSYS Parametric Design Language (APDL) of finite element analysis. The same layouts given by the above optimization tool are used in the experimental setup and it is found that the improved geometric tolerance of squarness and flatness of the given workpiece. The chip removal effect and frictional contact between the workpiece and the fixture elements are taken into account based on element death technique and nonlinear finite-element analysis. A Case study of an open slot milling process illustrates the application of the proposed improved geometric tolerance approach.