International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 02 Issue: 04 | July-2015 www.irjet.net p-ISSN: 2395-0072 © 2015, IRJET.NET- All Rights Reserved Page 264 Practical application of Taguchi method for optimization of process parameters in Injection Molding Machine for PP material ANAND KR DWIWEDI, SUNIL KUMAR, NASIHUN NOOR RAHBAR, DHARMENDRA KUMAR 1 M.TECH. Scholar, Mechanical Engineering, Samalkha Group of Institution affiliated to Kurukshetra University Kurukshetra, Haryana,India 2 Assistant Professor,Mechanical Engineering, Samalkha Group of Institution, affiliated to Kurukshetra University Kurukshetra, Haryana,India 3 M.TECH. Scholar,Mechanical Engineering, Samalkha Group of Institution affiliated to Kurukshetra University Kurukshetra, Haryana,India 4 M.TECH. Scholar,Mechanical Engineering, Samalkha Group of Institution affiliated to Kurukshetra University Kurukshetra, Haryana,India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract- Injection molding is a very popular polymer processing methods due to its high production rate as well as its ability to produce complex shapes of plastic product at very cheaper cost and in a limited period of time. The old concept of using the trial and error method to determine the process parameters for injection molding machine is no longer good enough because the complexity of product design is now increased and the requirement of multi-response quality characteristics is needed. For Determining optimal process parameter settings critically influences productivity, quality, and cost of production in the plastic injection molding industry. This article aims to analyze the recent research in determining optimal process parameters of injection molding machine. A large number of research works based on various approaches have been performed to obtain the optimal process parameter setting for injection molding machine. These approaches, including mathematical models, Taguchi method, Artificial Neural Networks, Fuzzy logic, Case Based Reasoning , Genetic Algorithms, Finite Element Method, Non Linear Modeling, Response Surface Methodology, Linear Regression Analysis ,Grey Rational Analysis and Principle Component Analysis . The difficulty of optimizing an injection molding process is that the performance measures usually show conflicting behavior. Therefore, a compromise must be found between all of the performance measures of interest. In this paper injection molding process parameter optimization for polypropylene material has been done using the Taguchi methodology. This methodology provides the optimum value of process parameter with the help of orthogonal array by conducting only few experiments. We used Processing temperature, Injection pressure, Cooling time and Injection speed as a process parameter and optimized the process parameters by considering Tensile strength as a resulting factor. Key Words: optimum value, and orthogonal array, process parameter etc… 1. Introduction Injection molding is one of the most important shape forming processes for thermoplastic polymer. Maximum amount of all the plastic products are manufactured by injection molding machine. Injection molding machine is best suited for manufacturing large numbers of plastic products of complex structure and sizes. In the injection molding process, hot melted plastic is forced into a mold (which is relatively at lower temperature). Then, the hot melt is allowed to solidify for some time. After Solidified net shape product is ejected outside when the mold open. Although the process is very simple, prediction