Optimasi Parameter Proses Injection Molding untuk Meminimalkan Cacat Short Shot pada Produk Doss Box Handle

Cholis, Yanuar Nur (2026) Optimasi Parameter Proses Injection Molding untuk Meminimalkan Cacat Short Shot pada Produk Doss Box Handle. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Proses injection molding di Solomon Workshop mengalami cacat short shot pada produk handle doss box akibat pengaturan parameter proses yang belum optimal, yang selama ini ditangani melalui metode trial and error tanpa didahului analisis simulasi. Penelitian ini bertujuan mengidentifikasi parameter proses yang paling berpengaruh terhadap cacat short shot serta menentukan kombinasi parameter optimal untuk meminimalkannya. Metode yang digunakan adalah desain eksperimen Taguchi dengan orthogonal array L27 (3⁵) yang melibatkan lima parameter proses yaitu melt temperature, injection pressure, mold temperature, holding time, dan cooling time, masing-masing pada tiga level. Simulasi dilakukan menggunakan SolidWorks Plastics dengan material Low Density Polyethylene (LDPE) dan variabel respon didefinisikan sebagai selisih berat produk simulasi terhadap berat ideal (ΔW). Analisis data dilakukan dengan mengevaluasi nilai ΔW terkecil secara langsung dari hasil simulasi serta menggunakan Analysis of Variance (ANOVA) berdasarkan nilai rata-rata (means). Hasil ANOVA menunjukkan bahwa mold temperature merupakan parameter paling berpengaruh dengan kontribusi 51,47%, diikuti holding time (41,34%), melt temperature (6,25%), injection pressure (0,94%), dan cooling time (0,00%). Berdasarkan 27 kombinasi simulasi yang dijalankan, parameter optimal didapatkan pada eksperimen ke-22 yang menghasilkan nilai ΔW terendah sebesar 0,005 gram. Kombinasi tersebut terdiri dari melt temperature 240°C, injection pressure 20 MPa, mold temperature 40°C, holding time 6 detik, dan cooling time 10 detik. Validasi pada mesin injection molding aktual menggunakan 11 sampel menghasilkan berat rata-rata 11,147 gram, dengan selisih terhadap hasil simulasi sebesar 0,019%, jauh di bawah batas toleransi 1% sehingga simulasi dinyatakan valid.
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The injection molding process at Solomon Workshop experienced short shot defects in the doss box handle product due to suboptimal process parameter settings, which had previously been handled through a trial and error method without prior simulation analysis. This study aims to identify the process parameters that most significantly affect short shot defects and determine the optimal parameter combination to minimize them. The method used was the Taguchi experimental design with an L27 (3⁵) orthogonal array involving five process parameters: melt temperature, injection pressure, mold temperature, holding time, and cooling time, each at three levels. Simulations were conducted using SolidWorks Plastics with Low Density Polyethylene (LDPE) material, and the response variable was defined as the weight difference between the simulated product and the ideal weight (ΔW). Data analysis was performed by evaluating the minimum ΔW value directly from the simulation results and using Analysis of Variance (ANOVA) based on the means. The ANOVA results showed that mold temperature was the most influential parameter with a contribution of 51.47%, followed by holding time (41.34%), melt temperature (6.25%), injection pressure (0.94%), and cooling time (0.00%). Based on the 27 executed simulations, the optimal parameter combination was obtained in the 22nd experiment, yielding the lowest ΔW value of 0.005 grams. This combination consists of a melt temperature of 240°C, an injection pressure of 20 MPa, a mold temperature of 40°C, a holding time of 6 seconds, and a cooling time of 10 seconds. Validation on the actual injection molding machine using 11 samples resulted in an average weight of 11.147 grams, with a difference of 0.019% compared to the simulation result, well below the 1% tolerance limit, thus declaring the simulation valid.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	injection molding, short shot, metode Taguchi, ANOVA, SolidWorks Plastic, LDPE, injection molding, short shot, Taguchi method, ANOVA, SolidWorks Plastic, LDPE
Subjects:	T Technology > T Technology (General) > T57.62 Simulation T Technology > TS Manufactures > TS156 Quality Control. QFD. Taguchi methods (Quality control) T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning) T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing.
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Yanuar Nur Cholis
Date Deposited:	16 Jul 2026 08:43
Last Modified:	16 Jul 2026 08:43
URI:	http://repository.its.ac.id/id/eprint/135217

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