OPTIMASI PRODUKSI TUTUP BOTOL 500 ml PADA PROSES INJECTION MOULDING MENGGUNAKAN METODE RESPONSE SURFACE

ROTOR ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Kurniawan Purnama Putra ◽  
R. Koekoeh R. W.

Injection molding is one of the most common operations and versatile for mass production of complex plastic components. Injection molding is a process of plastic forming into a desired shape by means of pressing molten plastic into a space (cavity). Injection molding has a multi-step process, starting from inserting plastic pellets into the hopper, then plastic pellets into barrels / heating which makes the plastic material is melted. Melting plastic material is driven by the rotation of the screw, so that the flow to the nozzle, and then toward the sprue, runner, gate and into the cavity. Then the material present in the cavity will be retained within the mold under a certain pressure (holding pressure) to keep no shringkage when the product cooling process (cooling).The purpose of this study was to obtain the optimization of the cycle time and the percentage of production reject the bottle cap 500 ml in PT Berlina Tbk. The method used for this research is the method of response surface analysis, method surface respone is statistical and mathematical methods used to examine the relationship between one or more variables with the qualitative form of the response variables that aims to optimize and develop the response in an experiment. The data is optimized using Minitab software 16 produces an output response parameter setting optimization to inject pressure, nozzle temperature and cooling time. From the data analysis using the software Minitab 16 is obtained from the optimum situation results generated under conditions injection amounting to 1420 bar pressure; nozzle temperature at 264.7912 ° C; and the cooling time of 14.08 seconds. In this state of production can be increased by 10.836%. From the state of the optimum cycle time generated is 27.9161 seconds, net produced according to the standard that is 33.5820 grams and reject percentage the resulting is 11.11%. With a cycle time 27.9161 seconds with a net according to the standard and the percentage of rejects decreased 3.89%, the resulting product amounts to ± 15,517 /shift or up approximately 10.836%. The amount is based on the number of products produced in the cycle time previous of 30 seconds to produce ± 14,000 /shift. Keywords: Injection moulding, box-benhken design, Response surface methodology

ROTOR ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 45
Author(s):  
Andika Wahyu Prasanko ◽  
Dwi Djumhariyanto ◽  
Agus Triono

At present plastic becomes inseparable from human life especially in the food and beverage industry. One of the methods used in the manufacturing process of plastic products is injection molding. Injection molding is one of manufacturing technique that consists of a series of cyclical processes and is used to produce thermoplastic materials. The effect of the combination of process parameters impact on the product results such as the quantity and quality of the product, the non-conformity of the parameters causes the production to be not optimal. One method that can be used for optimization is the taguchi method. The taguchi method is a set of special matrices called orthoghonal arrays that are used as reference in the determination combination of parameters and level values. The purpose of this research is to determine the optimal cycle time and net of the product on the process of making 180 ml bottle cap but by minimizing flash defects. The method used in this phase is ANOVA, and the calculation of taguchi method by using minitab 16 software. From the result of the research, the result of optimal condition is combination injection pressure 1320 bar, injection speed 50 mm/s, holding pressure 300 bar, and nozzle temperature 255oC produces a cycle time value of 15.72 seconds and netto 3.56 grams. This result is better than the setting of the company that produces 16.66 seconds cycle time and entered in the net range of 4 ± 0.5 grams resulting in an increase in production of 5.97%. While with combination of injection pressure 1280 bar, injection speed 50 mm / s, holding pressure 300 bar, and nozzle temperature 245oC resulted in fewer number of flash defects compared to company setting that is 12 units from 80 units of sample. Keywords: flash deffect, injection molding, taguchi method, cycle time


2020 ◽  
Vol 8 (2) ◽  
pp. 65-74
Author(s):  
Mochammad Mahardika ◽  
Handika Rahmayanti ◽  
Abdul Majid

The type of plastic packaging that is popular among the public is bottle packaging, plastic bottle packaging always has a bottle cap. Some people only know that the part of the bottle cap is only on the outer cap, even though the plastic bottle cap consists of two types, namely the outer cap (cap) and the inner cap (plug). The plastic material used to make the plug is Linear Low Density Polyethylene (LLDPE), a telon oil plug is produced using an injection molding machine, by inserting plastic pellets into the hopper and then heating it by the barrel, plastic pellets that have melted will be injected into the mold ( print). In the process of making the telon oil plug, a defect was found. From the observation, it is known that several types of defects that occur during the LLDPE oil plug production process include black dot, flashing, and unmould / short shot. Defects that occur during the telon oil plug production process are caused by damage, contamination, and mismatches in the engine parameter settings. The purpose of this study is to determine the causes and solutions of defects that occur in LLDPE telon oil plugs with the HAITIAN 1600MA injection molding machine at PT X. Some solutions are made to reduce defects that occur in telon oil LLDPE plugs is to clean the material reservoir, repair or replace the mold, clean the hopper before loading the material, and set up the barrel parameter 180-230oC, inject pressure 60 bar, holding pressure 30 bar, speed 17.8 seconds.


Polymers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1224
Author(s):  
Chil-Chyuan Kuo ◽  
Wei-Hua Chen

Silicone rubber mold (SRM) is capable of reducing the cost and time in a new product development phase and has many applications for the pilot runs. Unfortunately, the SRM after injection molding has a poor cooling efficiency due to its low thermal conductivity. To improve the cooling efficiency, the thermal conductivity of the SRM was improved by adding fillers into the SRM. An optimal recipe for fabricating a high cooling efficiency low-pressure injection mold with conformal cooling channel fabricated by fused deposition modeling technology was proposed and implemented. This study proposes a recipe combining 52.6 wt.% aluminum powder, 5.3 wt.% graphite powder, and 42.1 wt.% liquid silicon rubber can be used to make SRM with excellent cooling efficiency. The price–performance ratio of this SRM made by the proposed recipe is around 55. The thermal conductivity of the SRM made by the proposed recipe can be increased by up to 77.6% compared with convention SRM. In addition, the actual cooling time of the injection molded product can be shortened up to 69.1% compared with the conventional SRM. The actual cooling time obtained by the experiment is in good agreement with the simulation results with the relative error rate about 20%.


2000 ◽  
Author(s):  
Jim Nerone ◽  
Karthik Ramani

Abstract New aluminum alloys, QC-7® and QE-7®, have thermal conductivities four times greater than traditional tool steels, and have significantly increased strength and hardness compared to traditional aluminum materials. Molds were constructed of P-20 tool steel and QE-7® aluminum and were used to provide experimental data regarding thermal mold characteristic and confirm injection molding simulation predictions using C-Mold®. The relationships between cooling time reduction (using aluminum alloys) and polymer type, cooling channel depth, part wall thickness, and coolant temperature were explored both experimentally and using simulation software. It was shown that the potential reduction in cooling time varied from 5% to 25%. The most significant percentage improvements were observed in parts with part wall thickness of 0.05″ to 0.10″ and in molds with cooling channels at a depth ratio (D/d) of 2.0. The thermal pulses in the steel mold 0.10″ from the surface were approximately 63% larger than in aluminum mold.


2021 ◽  
Vol 26 (2) ◽  
pp. 103-110
Author(s):  
Muhammad Yusuf Nurfani ◽  
Irvan Septyan Mulyana

Plastik Injection Molding (PIM) merupakan proses produksi pembentukan material plastik dari material resin berbentuk butiran yang digunakan dalam membuat suatu komponen manufaktur. Defect atau kecacatan yang umumnya terjadi pada plastik injection molding yaitu short mold yaitu kondisi dimana part yang dihasilkan tidak terisi material plastik secara sempurna. Pada penelitian membahas tentang analisa panas pada cover air flow terhadap short mold defect. Metode yang digunakan adalah metode perhitungan actual dan analisa aktual terhadap part injection kemudian membandingkan hasil dari variasi suhu. Material yang digunakan dalam penelitian ini adalah Polypropylene (PP) dengan grade M560 yang dimasukan kedalam injection molding dengan tekanan 96 Mpa. Suhu yang akan dianalisis yaitu 130̊C dengan cooling time 15 second , suhu 150̊C cooling time 19 second dan suhu 170̊C cooling time 23 second. pada barrel. Hasil penelitian ini menunjukan temperatur 170̊C dengan cooling time 23 detik dapat mengatasi masalah short shot pada cover air flow pada saat proses injection part.


1986 ◽  
Vol 26 (12) ◽  
pp. 877-885 ◽  
Author(s):  
Antal Boldizar ◽  
Josef Kubát
Keyword(s):  

2018 ◽  
Vol 7 (3.7) ◽  
pp. 14 ◽  
Author(s):  
Mohd Amran Md Ali ◽  
Noorfa Idayu ◽  
Raja Izamshah ◽  
Mohd Shahir Kasim ◽  
Mohd Shukor Salleh ◽  
...  

This study presents an optimization of injection moulding parameters on mechanical properties of plastic part using Taguchi method and Grey Relational Analysis (GRA) approach. The orthogonal array with L9 was used as the experimental design. Grey relational analysis for ultimate tensile strength, modulus and percentage of elongation from the Taguchi method can convert optimization of the multiple performance characteristics into optimization of a single performance characteristic called the grey relational grade (GRG). It is found that mould temperature of 62oC, melt temperature of 280oC, injection time of 0.70s and cooling time 15.4s are found as the optimum process setting. Furthermore, ANOVA result shows that the cooling time is the most influenced factor that affects the mechanical properties of plastic part followed by mould temperature and melt temperature.  


2013 ◽  
Vol 479-480 ◽  
pp. 126-130 ◽  
Author(s):  
Kun Nan Chen ◽  
Wen Der Ueng

This paper proposed a gate location optimization scheme to minimize the maximum injection pressure in plastic injection molding. The method utilized a series of higher order response surface approximations (RSA) to model the maximum injection pressure distribution with respect to gate locations, and the global minimum of these response surface models were subsequently sought by a global optimization method based on a multi-start sequential quadratic programming technique. The design points for RSA were evaluated by the finite element method. After a sequence of repetitions of RSA and optimization, the converged minimizer would represent the optimal gate location. A rectangular plate with two segments of different thicknesses was selected to demonstrate the effectiveness of the procedure. The variation of the thicknesses causes the optimal gate location to deviate from the center and induce multiple valleys in the maximum injection pressure distribution, which is ideal for the application of the higher order RSA and a global searching technique.


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