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      Statistical Approach to Analyze the Warpage, Shrinkage and Mechanical Strength of Injection Molded Parts

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          Abstract

          The aim of this study is to assess the effects of different parameters of the injection molding process in warpage, shrinkage, and mechanical properties of the plastic parts using the Taguchi method and the Analysis of Variance (ANOVA). The polyacetal copolymer (POM) and acrylonitrile-butadiene-styrene copolymer (ABS) were injected; and then the following processing parameters were analyzed: the mold temperature, holding pressure, holding time, melt temperature, cooling time, mold water flow, and injection speed. According to the results, statistically the most significant parameters in shrinkage were the mold temperature and cooling time for the POM molded parts; and the holding time and holding pressure for the ABS molded parts. The most significant parameters in warpage and flexural strength were the holding time and holding pressure for the POM and ABS parts, respectively. A multiple linear regression analysis was carried out to predict a theoretical ideal experiment to maximize the results.

          Most cited references17

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          Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm

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            Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method

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              Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods

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                Author and article information

                Journal
                ipp
                International Polymer Processing
                Carl Hanser Verlag
                0930-777X
                2195-8602
                30 July 2016
                : 31
                : 3
                : 376-384
                Affiliations
                1 Materials Engineering, Federal University of Pelotas, Pelotas, RS, Brazil
                Author notes
                [* ] Correspondence address, Mail address: Natália Hadler Marins, Federal University of Pelotas, Street Félix da Cunha, 809, Pelotas, RS, Brazil, Zip code: 96010-000. E-mail: natalia.marins@ 123456ufpel.edu.br
                Article
                IPP3219
                10.3139/217.3219
                5161670c-8a19-46b9-b367-e43d603b46d8
                © 2016, Carl Hanser Verlag, Munich
                History
                : 7 December 2015
                : 6 March 2016
                Page count
                References: 17, Pages: 9
                Product
                Self URI (journal page): http://www.hanser-elibrary.com/loi/ipp
                Categories
                Regular Contributed Articles

                Polymer science,Materials technology,Materials characterization,General engineering,Polymer chemistry

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