Design and Simulation of Seat Handle Using Plastic Injection Molding Process

  • Shubham Jayswal
  • Harsh Jangade
  • Kumar AbhishekEmail author
  • PL. Ramkumar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 757)


Nowadays, the plastic industries are gaining more attention due to the tremendous increase in demand for plastic products mainly in household applications, space industry, automobile industry, sports industry, and so on. Therefore, manufacturers gave more emphasis on the plastic injection molding in order to manufacture intricate shape and complex geometry with good dimensional accuracy. In order to meet the demand, it is very essential to adopt various advanced technologies like CAD/CAM/CAE for the better understanding of injection molding process to gain quality products. Hence, this paper highlights the analysis of seat handle for automobile products used in injection molding process with help of software NX 9.0 and Moldex 3D. There are various types of software used to simulate the model of component and Moldex 3D is one of them. Moldex 3D is a software generally called Computer-Aided Engineering (CAE). It calculates the filling time, melt front temperature, cooling time, and pressure drop in the mold, and results depend on material used and technological parameters. In this work, ABS material has been considered. There are many parameters which affect the properties of plastic products. From the analysis, suitable gate position has been advised for the uniform flow of mold material. Injection gate visualizes the effect of temperature, pressure, and melt front time. The operating parameters have to be correct and can produce better product. There are changes occurred in product with change in parameters. Optimum parameter is related to the quality to produce product without defects such as improper surface finish, flow marks, hesitation, short shots, improper location of runner, over packing, and others.


Injection molding Simulation Seat handle 



Authors are grateful for Ashapura mold tech. for their support.


  1. 1.
    Longzhi, Z., Binghui, C., Jianyun, L., Shangbing, Z.: Optimization of plastics injection molding processing parameters based on the minimization of sink marks. In: International Conference on Mechanic Automation and Control Engineering (MACE), pp. 593–595. IEEE (2010)Google Scholar
  2. 2.
    Shakkarwal, P., Yadav, L.: ‘Design and mould flow analysis of injection mould for connecting link. IJET 4(1), 182–185 (2013)Google Scholar
  3. 3.
    Anil Kumar, K., Suresh Babu Y.: Design and analysis of industrial helmet. Int. J. Comput. Eng. Res. 3, 48–53 (2013)Google Scholar
  4. 4.
    Stenek, M., Manas, D., Manas, M., Javorik, J.: Simulation of injection molding process by cadmould rubber. Int. J. Math. Comput. Simul. 5(5), 422–429 (2011)Google Scholar
  5. 5.
    Martinsen, K., Gellein, L.T., Boivie, K.M.: Sensors embedded in surface coatings in injection moulding dies. Proc. CIRP 62, 386–390 (2017)CrossRefGoogle Scholar
  6. 6.
    Oktem, H., Erzurumlu, T., Uzman, I.: Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part. Mater. Des. 28(4), 1271–127 (2007)CrossRefGoogle Scholar
  7. 7.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shubham Jayswal
    • 1
  • Harsh Jangade
    • 1
  • Kumar Abhishek
    • 1
    Email author
  • PL. Ramkumar
    • 1
  1. 1.Department of Mechanical EngineeringInstitute of Infrastructure, Technology, Research and ManagementAhmedabadIndia

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