A Development of Computer Aided Program for Aluminium Die-Casting Mold Design


  • Suchada Rianmora Thammasat University
  • Chana Raksiri Kasetsart University




computer-aided program, die casting, gating system design, injection condition mold design


In each stage of design, aluminium die-casting mold design is considerate many factors and conditions. The design requires some experiences with trial-and-error platform that causes the problems such as misrun, cold shut, cold shot, penetrations or instability stage during or after molding process.  Proposed in this research is about the development of Computer Aided Program to support aluminium die-casting mold design to select and estimate the initial state values under the same standard condition requirements. Before starting a mold design, the C# language is asked to construct the platform that soothes and is insightful or applicably useful in a content database of reference theory, equations and principles including mold parameters. After identifying the proper input conditions of the mold design, the analysis of die casting MAGMASOFT is performed to verify the conditions of the material flow according to the suggested parameters. The simulated results can be considered as the guideline for supporting mold designer where the essential values of mold dimensions and the cold chamber type injection conditions are obtained as easy-to-access graphical images and numerical values. Applying this developed program can help to reduce time spent for mold designing stage with less defects occurred on the obtained cast parts.


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Author Biographies

Suchada Rianmora

School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Rangsit, Pathum Thani, 12120, Thailand

Chana Raksiri

Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand


Published In
Vol 26 No 3, Mar 31, 2022
How to Cite
S. Rianmora and C. Raksiri, “A Development of Computer Aided Program for Aluminium Die-Casting Mold Design”, Eng. J., vol. 26, no. 3, pp. 51-69, Mar. 2022.