4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Application of Intelligent Modeling Method to Optimize the Multiple Quality Characteristics of the Injection Molding Process of Automobile Lock Parts

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This study focuses on applying intelligent modeling methods to different injection molding process parameters, to analyze the influence of temperature distribution and warpage on the actual development of auto locks. It explores the auto locks using computer-aided engineering (CAE) simulation performance analysis and the optimization of process parameters by combining multiple quality characteristics (warpage and average temperature). In this experimental design, combinations were explored for each single objective optimization process parameter, using the Taguchi robust design process, with the L 18 (2 1 × 3 7) orthogonal table. The control factors were injection time, material temperature, mold temperature, injection pressure, packing pressure, packing time, cooling liquid, and cooling temperature. The warpage and temperature distribution were analysed as performance indices. Then, signal-to-noise ratios (S/N ratios) were calculated. Gray correlation analysis, with normalization of the S/N ratio, was used to obtain the gray correlation coefficient, which was substituted into the fuzzy theory to obtain the multiple performance characteristic index. The maximum multiple performance characteristic index was used to find multiple quality characteristic-optimized process parameters. The optimal injection molding process parameters with single objective are a warpage of 0.783 mm and an average temperature of 235.23 °C. The optimal parameters with multi-objective are a warpage of 0.753 mm and an average temperature of 238.71 °C. The optimal parameters were then used to explore the different cooling designs (original cooling, square cooling, and conformal cooling), considering the effect of the plastics temperature distribution and warpage. The results showed that, based on the design of the different cooling systems, conformal cooling obtained an optimal warpage of 0.661 mm and a temperature of 237.62 °C. Furthermore, the conformal cooling system is smaller than the original cooling system; it reduces the warpage by 12.2%, and the average temperature by 0.46%.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: not found
          • Article: not found

          Twenty Years of Polymer-Clay Nanocomposites

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

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

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Design and optimisation of conformal cooling channels in injection moulding tools

                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Polymers (Basel)
                Polymers (Basel)
                polymers
                Polymers
                MDPI
                2073-4360
                30 July 2021
                August 2021
                : 13
                : 15
                : 2515
                Affiliations
                [1 ]Department of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung 912, Taiwan; weitai@ 123456g4e.npust.edu.tw (W.-T.H.); jack5920658@ 123456hotmail.com (C.-L.T.)
                [2 ]Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan
                [3 ]Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 807, Taiwan
                [4 ]Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807, Taiwan
                [5 ]Department of Mechanical Engineering, National Chung Hsing University, Taichung 402, Taiwan
                Author notes
                [* ]Correspondence: whho@ 123456kmu.edu.tw (W.-H.H.); choujh@ 123456nkust.edu.tw (J.-H.C.)
                Author information
                https://orcid.org/0000-0002-2370-4030
                https://orcid.org/0000-0001-6194-0563
                Article
                polymers-13-02515
                10.3390/polym13152515
                8348185
                34372118
                52020621-0344-4050-856c-0fce67c79440
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 08 July 2021
                : 28 July 2021
                Categories
                Article

                injection molding,taguchi methods,fuzzy theory,warpage,shrinkage,conformal cooling,multiple performance characteristic index (mpci)

                Comments

                Comment on this article