Computational Modeling of Investment Casting

  1. Prof. Yves Bréchet
  1. M. Stemmler,
  2. M. Schallmo and
  3. F. Hediger

Published Online: 19 DEC 2005

DOI: 10.1002/3527606157.ch45

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

How to Cite

Stemmler, M., Schallmo, M. and Hediger, F. (2000) Computational Modeling of Investment Casting, in Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3 (ed Y. Bréchet), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527606157.ch45

Editor Information

  1. Institut Nat. Polytechnique de Grenoble, L.T.P.-C.M. ENSEEG, BP75, Domaine Universitaires, 38402 Saint Martin D'Hères Cedex, France; Tel.: 0033–76–82 6610; Fax: 0033–76–82 6644

Author Information

  1. ACCESS e.V., Intzestr. 5, 52072 Aachen, Germany

Publication History

  1. Published Online: 19 DEC 2005
  2. Published Print: 20 APR 2000

Book Series:

  1. EUROMAT 99

ISBN Information

Print ISBN: 9783527301225

Online ISBN: 9783527606153

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Keywords:

  • microstructures;
  • computer simulation;
  • modelling of processes;
  • investment casting

Summary

Numerical simulation is a modern tool for the optimization of casting processes with respect to design for castability, feasibility and cost. In this paper, a complete cycle of simulation for an investment casting process – using the software CASTS – will be presented, including a discussion about the advantages and difficulties in modeling this process. Starting from the CAD model of an investment cast part, the first task is to build several solid models of the wax cluster in order to try out various possible layouts. Based on the solid model, a finite element enmeshment of the wax pattern and the subsequent automatic generation of the ceramic mold has to be performed. Preheating calculation of the ceramic mold is followed by a coupled mold filling, temperature, stress/strain and solidification simulation. An assessment of the casting quality will be performed by means of criteria functions for porosity and grain formation using a cellular automata.