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      •   UMY Repository
      • 03. DISSERTATIONS AND THESIS
      • Students
      • Undergraduate Thesis
      • Faculty of Engineering
      • Department of Mechanical Engineering
      • View Item
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      OPTIMALISASI PARAMETER PROSES INJEKSI MENGGUNAKAN SIMULASI MOLDFLOW DAN METODE DESIGN OF EXPERIMENT UNTUK MEMINIMALKAN CYCLE TIME DAN ELIMINASI SHORT SHOT PADA PRODUK TEMPAT NASI BERBAHAN POLYPROPYLENE

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      HALAMAN PENGESAHAN (724.5Kb)
      ABSTRAK (3.005Mb)
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      BAB II (1.560Mb)
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      DAFTAR PUSTAKA (1.514Mb)
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      NASKAH PUBLIKASI (652.2Kb)
      Date
      2018-08-13
      Author
      ANWAR, M.CHOIRUL
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      Abstract
      The utilization of plastic materials in the manufacture of food packaging and household appliance has been widely used in our society until today. Various forms and functions have been made, one of them is using an injection molding machine. With an injection molding machine a packaging design or a fairly complex household appliance can be produced. One of the products that the market is interested in is a traditional rice container. This traditional rice container using polypropylene material. In the production process of this rice container, there are several problems that occur when injecting the product, the cycle time is too long and the short shot occurs on the product. The problem that happen in this production process urgently needs simulation and optimalization of the injection process parameters to solve the problem that happen in this product. Optimization carried out in this study is on the process parameters in moldflow simulation. The cycle time simulation on the previous results for the production of rice container takes 172.59 seconds and after being optimized becomes 23.88 seconds. In short shot optimization, the obtained cavity weight increased from 96.99 grams to 99.36 grams. These results are obtained based on the analysis of S / N Ratio, ANOVA and confirmation experiments have been carried out on the best parameters.
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      http://repository.umy.ac.id/handle/123456789/23279
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      • Department of Mechanical Engineering

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