شبیه‌سازی و بهینه‌سازی پارامترهای فرآیند قالب‌گیری تزریقی قطعات پلی اتر ایمید با روش ترکیبی تاگوچی- تحلیل رابطه خاکستری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 فارغ‌التحصیل کارشناسی ارشد، گروه مهندسی مکانیک، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران

2 استادیار، گروه مهندسی مکانیک، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران

10.22034/ijme.2023.399399.1801

چکیده

انتخاب پارامتر‌های فرآیندی مناسب در فرآیند قالب‌گیری قطعات با استفاده از قالب‌های تزریق پلاستیک برای تولید قطعاتی با کیفیت، امری مهم و ضروری است. هدف از این مقاله انتخاب پارامتر‌های فرآیندی مناسب و بهینه‌سازی آنان برای قالب‌گیری 8 قطعه مختلف از جنس پلی‌اتر ایمید است. در ابتدا بر اساس تحقیقات گذشته و توانایی‌های نرم‌افزار شبیه‌سازی مولدفلو، پارامتر‌های فرآیندی مناسب انتخاب شدند. این پارامترها شامل دمای ذوب، دمای سطح قالب، فشار نگهداری و دمای ورودی سیال خنک‌کاری بودند. شبیه‌سازی‌ها در نرم‌افزار مولدفلو بر مبنای آرایه‌های متعامد L25 روش تاگوچی انجام گرفتند. سپس نتایج مهم و قابل مقایسه شامل انقباض حجمی، مکش، اعوجاج (انحراف) و درصد انجماد در قطعات از شبیه‌سازی‌ها استخراج شدند. در نهایت با به کارگیری روش تحلیل رابطه خاکستری، بهینه‌سازی بر اساس این نتایج انجام گرفت. نتایج بهینه‌سازی نشان می‌دهند که در تمامی ضریب تمایز‌های روش تحلیل رابطه خاکستری (1/0 الی 9/0) دمای ذوب 360 درجه سانتی‌گراد، دمای سطح قالب 140 درجه سانتی‌گراد، فشار نگهداری برابر با 100 درصد فشار تزریق و دمای سیال خنک‌کاری 5/12 درجه سانتی‌گراد کمتر از دمای سطح قالب بهینه‌ترین سطح‌ها بودند. همچنین بر اساس نتایج آنالیز واریانس در تمامی ضریب تمایز‌ها نیز پارامتر‌های دمای ذوب و فشار نگهداری به ترتیب اثرگذار‌ترین پارامتر‌ها بودند.

کلیدواژه‌ها

عنوان مقاله [English]

Simulation and optimization of molding process parameters of ployetherimide parts by Taguchi-grey relational analysis combined method

نویسندگان [English]

  • Kamyab Ali Askari 1
  • Shahram Etemadi haghighi 2
  • Adel Maghsoudpour 2
1 MSc Graduate, Department of Mechanical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
2 Assistant Professor, Department of Mechanical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
چکیده [English]

In the process of molding parts using the plastic injection molding method, it is key essential to apply appropriate parameters in order to produce a qualified product. The purpose of this paper is to choose helpful production parameters and optimize them for molding eight different parts made from Polyetherimide. In the beginning, based on the previous research and the capabilities of Mold Flow software, appropriate process parameters were chosen. These parameters were: melt temperature, mold surface temperature, packing pressure and coolant inlet temperature. The simulations in Mold Flow software were done based on Taguchi’s L25 orthogonal array. Afterward, the critical and comparable results including: volumetric shrinkage, sink mark, warpage and the percentage of frozen volume in parts were exported from the simulations. Eventually, the optimizations were made based on these results by applying the gray relational analysis. The optimizing results show that in all distinguishing coefficients of the gray relational analysis (0.1 to 0.9), the melt temperature was 360 °c, the mold surface temperature was 140 °c, the packing pressure was 100% of the injection pressure and the coolant inlet temperature was 12.5 °c lower than the mold surface temperature of the most optimized ones. Also based on the ANOVA results, in all difference indices, parameters of melt temperature and packing pressure were respectively the most effective.

کلیدواژه‌ها [English]

  • Optimization
  • Plastic Injection Mold
  • Taguchi Method
  • Grey Relational Analysis
  • Moldflow

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