Optimization of Injection Moulding Process Parameters for Mininimal Shrinkage Using Taguchi Method

G. Magesh and Dr.M. Rajendran


Injection molding represents one of the most important processes in the mass production of manufactured plastic parts with complex geometries. The quality of the injection moldings depends on the material characteristics, the mould design and the process conditions. Defects in the dimensional stability of the parts result in shrinkage. Severe shrinkage leads to deflection of warpage in molded parts as well as negatively influences the dimensional stability and accuracy of the parts. Many factors including materials selection, part and mould design, as well as injection molding process parameters can affect shrinkage behavior in an injection molded part. Common quality problems or defects that come from an injection moulding process include voids, surface blemish, short-shot, flash, jetting, flow marks, weld lines, burns, and war page. The defects of injection moulding process usually arise from several sources, which include the pre-processing treatment of the plastic resin before the injection moulding process, the selection of the injection-moulding machine, and the setting of the injection moulding process parameters. This work attempts to describe the optimization of the injection molding process parameters for optimum shrinkage performance of a plastic head light of Tata Magic which is made from Polypropylene polymer. In this paper the process parameter such as Injection temperature, Injection pressure, Packing pressure and Packing time has been taken to get best combination to optimize the process. The trial-and-error process is costly and time consuming thus not suitable for complex manufacturing processes. In order to minimize such defects in plastic injection molding, design of experiment, the Taguchi method is applied. Signal-to-Noise ratio was used to obtain the optimal set of process parameters.

Keywords: ---

Volume: 5 | Issue: 1

Pages: 111-120

Paper ID : IJPPAS105004

Issue Date: February , 2017

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