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Optimum Runner Design for Die Casting Using CFD Simulations and Verification With Water-Model Experiments

[+] Author Affiliations
Ken’ichi Kanazawa, Ken’ichi Yano

Mie University, Tsu, Mie, Japan

Jun’ichi Ogura

Yamaha Motor Co., Ltd., Iwata, Shizuoka, Japan

Yasunori Nemoto

Flow Science Japan, Inc., Taito, Tokyo, Japan

Paper No. IMECE2014-37419, pp. V007T09A081; 7 pages
doi:10.1115/IMECE2014-37419
From:
  • ASME 2014 International Mechanical Engineering Congress and Exposition
  • Volume 7: Fluids Engineering Systems and Technologies
  • Montreal, Quebec, Canada, November 14–20, 2014
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4954-5
  • Copyright © 2014 by ASME

abstract

This study aimed to optimize the design of a runner for high-pressure die casting (HPDC) using computational fluid dynamics (CFD) simulations, and to verify the effectiveness of the runner with water-model experiments. A runner is a part of the flow path through which molten metal enters a product part. As a design problem, we sought to optimize the shape of the runner to minimize air entrainment in the runner and align the flow of molten metal after it passed through the runner. The problem was solved using our proposed nonparametric shape optimization method. The method is based on a genetic algorithm (GA), and directly treats a geometric shape that is comprised of several curves as an individual of a GA in the form of a set of mathematical functions. In addition, the crossover, which is one of the genetic operations, is defined as a weighted summation of two parent curves. Thus, the optimization method can generate optimized shapes with a lot of flexibility. The effectiveness of the optimized shape of the runner was demonstrated with both CFD simulations and water-model experiments using a visualization device for HPDC.

Copyright © 2014 by ASME

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