RSM ve Grey Wolf Optimizasyonu Kullanılarak Enjeksiyon Kalıplanmış PA66+PA6I/6T Kompozitinin Mekanik Özelliklerinin Deneysel Olarak İncelenmesi

Abstract

Bu çalışmada, takviyeli poliamid 66+PA6I/6T polimerinin enjeksiyon kalıpçılık proses parametreleri temel alınarak, mekanik özellik ve üretim koşullarının iyileştirilmesi için multi-objective optimizasyon metodu kullanılmıştır. Bu amaçla, polimerin kalite parametreleri olan çarpılma, hacimsel büzülme ve çevrim süresini minimize edip modellemek için bütünleşik RSM ve GWO optimizasyon yaklaşımı önerilmiştir. Çalışmada, tasarım parametreleri olan lif oranı, kalıp sıcaklığı, eriyik sıcaklığı, enjeksiyon basıncı ve enjeksiyon süreci gözönüne alınarak nümerik çıktı sonuçlarının elde edilmesi ve simülasyon işleminde Moldflow Insight yazılımı kullanılmıştır. Optimizasyonu yapılmış tasarım parametreleri gözönüne alınarak çekme test sonuçlarının elde edilmesi ve karşılaştırılması için plastik enjeksiyon makinesinde bir test numunesi hazırlanmıştır. Sayısal analiz için Box-Behnken deneysel tasarım metodu ve kalıplama işlemindeki tasarım parametrelerinin kaliteye olan etkilerini incelemek için ANOVA metodu uygulanmıştır. Elde edilen sayısal sonuçlara göre RSM ve GWO yöntemlerinin her ikisinin de, tavsiye edilen proses değerleriyle elde edilmiş kalite sonuçlarına göre daha iyi sonuçları verdikleri görülmüştür, aynı zamanda bu sonuçlar ANOVA sonuçlarıyla da uyumludur. Yürütülen bu deneysel tasarım için RSM’ nin GWO metodundan daha etkili olduğu gözlenmiştir. Ayrıca yürütülen deneysel çekme test sonuçlarına göre, % 60 lif takviyesinin en iyi çekme test sonuçları verdiğini ve optimizasyonu yapılmış olan bu proses parametreleri ile % 60’lık bu lif katkı oranı için elastik modül değerinde % 39,4 lük bir artış olduğu gözlenmiştir.

Keywords

• Grey wolf optimizasyonu,Enjeksiyon kalıpçılık,Kompozit,RSM,Çekme mukavemeti

Experimental Investigation of Mechanical Properties for Injection Molded PA66+PA6I/6T Composite Using RSM and Grey Wolf Optimization

Abstract

In this study, a multi-objective optimization method was used to improve the mechanical properties and manufacturing conditions of reinforced polyamide 66+PA6I/6T polymer based on injection molding process parameters. For that purpose, the combined approach of response surface methodology (RSM) and Grey Wolf Optimization (GWO) was proposed to minimize and model the quality parameters such as warpage, volumetric shrinkage, and cycle time of the polymer. In the study, Moldflow Insight software was used to simulate and obtain the numerical objective results based on design parameters including fiber ratio, mold temperature, melt temperature, injection pressure, and injection time. Based on optimized design parameters, a test specimen was produced in an injection molding machine to obtain and compare the tensile test results. The Box-Behnken method was applied for the experimental design of the numerical analysis, and the analysis of variance (ANOVA) method was used to investigate the effect of design parameters on the objective parameters in molding. According to the numerical results, it was found that both RSM and GWO methods gave better results than the quality results obtained by the recommended process parameter results as well as these results were consistent with the ANOVA results. It was determined that the RSM was more effective than the GWO method for this experimental design. Also, it was concluded that according to the experimental tensile test results, the best tensile test result was obtained by 60% fiber reinforcement, and the tensile module value increased by 39,4% for this addition ratio based on the optimized process parameters.

Keywords

• Grey wolf optimization; Injection molding; RSM; tensile strength

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