Reducing deformation, stress, and tool wear during milling processes using simulation-based multiobjective optimization

  • J. Montalvo-Urquizo
  • C. Niebuhr
  • A. Schmidt
  • M. G. Villarreal-Marroquín
ORIGINAL ARTICLE
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Abstract

This paper presents the optimization of a dry machining process where thermomechanical effects like shape deviations and a time-dependent domain are major challenges. First, the simulation model to compute finite element approximations to a general milling process is presented. The model includes a submodel (dexel model) for material removal and process forces and heat flux introduced by the machining tool. In a second part, we present a multiobjective optimization algorithm based on metamodels that serve as a tool to identify the process parameters that improve processes with different performance measures that exhibit conflicting behavior. With this metamodel-based optimization method, we avoid the use of a large number of high-fidelity computer simulations, which are commonly computationally expensive. The approach is tested on two case studies for optimizing (a) workpiece deformation and equivalent stress after milling, and (b) shape error and tool wear.

Keywords

Milling Multiobjective optimization Thermomechanics Adaptive FEM 

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Notes

Acknowledgments

The authors gratefully acknowledge the financial support by the Mexican National Council for Science and Technology (CONACYT) and the German Academic Exchange Service (DAAD) through the project “Simulación Numérica y Optimización para Procesos Dependientes del Tiempo en Ingeniería y Ciencias de los Materiales” (“Numerical Simulation and Optimization of Time Dependent Processes in Engineering and Materials Science”). The support given by the German Research Foundation (DFG) to the project “Thermomechanical Deformation of Complex Workpieces in Drilling and Milling Processes” within the DFG Priority Program 1480 “Modeling, Simulation and Compensation of Thermal Effects for Complex Machining Processes” is also acknowledged.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.CIMAT-Monterrey, CONACYT and Centro de Investigación en MatemáticasAlianza Centro 502, Parque de Investigación e Innovación TecnológicaMonterreyMexico
  2. 2.Center for Industrial Mathematics and MAPEX Center for Materials and ProcessesUniversity of BremenBremenGermany

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