Optimization of Injection Molding Process-literature review
Abstract: Plastic molding processes are used to produce plastic parts and components, which finds applications in many industrial as well as household consumer products. Plastic injection molding is really a challenging process for designers, researchers and manufacturers to produce the components or products at low cost, meeting all the necessary requirements from the customers. In todays plastic age, injection molding industry is facing a huge competition. Using a conventional trial-and-error approach for finding out the desired processing conditions for molding is not good enough to sustain in the global market. Many product designing, mold designing aspects as well as large number of process parameters need to be optimized in order to meet customer requirements and expectations regarding quantity, quality and performance of the product at a competitive price. The objective of this paper is to provide an insight of literatures about recent research in optimization aspects for determining optimum process parameters of plastic injection molding process by using Taguchis technique. Plastic Injection Molding process has been a very challenging process for many manufacturers and researchers to make a component meeting all the expectations of the customer at low cost and in minimum time.
Recent Methods for Optimization of Plastic Injection Molding Process - A Literature Review
Determining the optimal processing parameter is routinely performed in the plastic injection moulding industry as it has a direct and dramatic influence on product quality and costs. In this volatile and fiercely competitive market, traditional trial-and-error is no longer sufficient to meet the challenges of globalization. This paper aims to review the research of the practical use of Taguchi method in the optimization of processing parameters for injection moulding. Taguchi method has been employed with great success in experimental designs for problems with multiple parameters due to its practicality and robustness. However, it is realized that there is no single technique that appears to be superior in solving different kinds of problem.
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