An Integrated Approach to Evaluate the Cycle Time in Injection Molding

2000 ◽  
Author(s):  
D. M. Gao ◽  
W. C. Bushko
Keyword(s):  
Injection Molding ◽  
Production Rate ◽  
Friction Force ◽  
Cycle Time ◽  
Surface Defects ◽  
Integrated Approach ◽  
Critical Issue ◽  
Material Behavior ◽  
Time Duration ◽  
Ejection Force

Abstract The cycle time prediction is considered as a critical issue in injection molding. It relates directly to the production rate and the part quality. It is commonly defined as the time duration between the start of the injection and the ejection of the part. When the cycle time exceeds the desired range, the production rate will be compromised. In some cases, due to excessively increased friction force, the part may be subject to severe failure such as breakage during ejection. Another possible situation is that the ejector pins can be damaged because the friction force exceeds the maximum ejection force that the machine can provide through the ejectors. If the part is ejected too early, only a thin layer of polymer is solidified and the ejection may cause the part to be deformed permanently which generally leads to surface defects. For most injection molders, the cycle time is estimated through molding trials, which is very costly and time consuming. In the case of testing a new material, it is even more difficult to determine a proper cycle time ranger due to the lack of knowledge on the material behavior.

Measurements of cycle time in injection molding of filled thermoplastics

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

Yemen’s Failed Constitutional Transition

2019 ◽  
pp. 312-329
Author(s):  
George Anderson
Keyword(s):  
Civil War ◽  
Political Legitimacy ◽  
Integrated Approach ◽  
Critical Issue ◽  
Arab Countries ◽  
Federal Regime ◽  
Governance Arrangements

This chapter examines why Yemen’s constitutional transition during the period 2011–15 failed. In 2011 a popular uprising forced Yemeni President Ali Abdullah Saleh to resign. Neighboring Arab countries soon got involved in steering the constitutional process, which included a National Dialogue to address the design of a new constitution. The dialogue recommended a new federal regime, but failed to resolve the critical issue of the number and boundaries of states. The document presented in January 2015 by the Constitutional Drafting Committee tasked to draft a new constitution was deeply flawed and became the trigger for civil war. The chapter first considers the context leading up to the National Dialogue before discussing the outcomes of the constitutional process and three lessons that can be drawn from it: the role and design of sub-national governance arrangements; political legitimacy and process in a constitutional transition; and a more integrated approach to transitions.

Development of a Finite Model for Controlling a Mold’s Open/Close Process in an Injection Molding Machine

2011 ◽  
Author(s):  
M. F. Alzoubi ◽  
Ma’moun Abu-Ayyad
Keyword(s):  
Injection Molding ◽  
Positive Impact ◽  
Cycle Duration ◽  
Finite Model ◽  
Molding Machine ◽  
Movable Part ◽  
Time Duration ◽  
Element Analysis ◽  
Injection Molding Machine ◽  
Sampling Instant

This paper presents a unique approach for integrating a finite element analysis (FEA) model using a dynamic explicit of Abaqus with a nonlinear process of the mold’s open/close phase in an injection molding machine. This opening/closing phase is considered to have one of the highest impacts on reducing an overall cycle duration since it has no impact on the final part quality. Reducing the overall cycle duration has a big positive impact on productivity and enhancing efficiency of the manufacturing processes of injection molding systems. Therefore, one of the objectives of the injection molding manufacturers is increasing efficiency by reducing the time duration of this phase to a possible minimum. In this work, a 3-dimensional (3D) solid model of the mold, toggle mechanism, and hydraulic cylinder were developed and then superimposed with Abaqus software to animate the motion of the movable part of the mold. The position of the movable part of the mold is traced and used as a controlled variable while the inputted force and initial velocity were considered as the manipulated variables. The innovation of this strategy is that the controller structure uses the nonlinear model to update the process variables at every sampling instant while the closed-loop control is executed. This allows the determination of the plant’s variables resulting in a new set of the controller parameters with every sampling instant.

ANALISIS PARAMETER INJECTION MOLDING TERHADAP WAKTU SIKLUS DAN CACAT FLASH PRODUK TUTUP BOTOL 180 ML MENGGUNAKAN METODE TAGUCHI

ROTOR ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 45
Author(s):  
Andika Wahyu Prasanko ◽  
Dwi Djumhariyanto ◽  
Agus Triono
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Cycle Time ◽  
Human Life ◽  
Injection Pressure ◽  
Injection Speed ◽  
Beverage Industry ◽  
Food And Beverage Industry ◽  
Food And Beverage ◽  
Nozzle Temperature

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

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.
Keyword(s):  
Injection Molding ◽  
Response Surface ◽  
Cycle Time ◽  
Injection Moulding ◽  
Plastic Material ◽  
Cooling Time ◽  
Mathematical Methods ◽  
Nozzle Temperature ◽  
Pressure Nozzle ◽  
Plastic Pellets

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

Prediction of Local Part-Mold and Ejection Force in Injection Molding

2004 ◽  
Vol 127 (3) ◽  
pp. 598-604 ◽  
Author(s):  
Omar M. Bataineh ◽  
Barney E. Klamecki
Keyword(s):  
Injection Molding ◽  
Local Reaction ◽  
Molding Process ◽  
Local Part ◽  
Ejection Force ◽  
Ejection Process ◽  
The Coefficient Of Friction ◽  
Reaction Forces ◽  
The Difference ◽  
Experimental Values

A numerical simulation system was developed to predict local part-mold forces and local and total ejection forces in injection molding. Local reaction forces between the part and mold surfaces are calculated first using numerical molding process and structural simulations. Using experimentally obtained coefficients of friction the friction force and ejection force are calculated. Ring moldings were used to measure the coefficient of friction. Box moldings were used to validate predictions of local and total ejection forces and to demonstrate the use of the system in mold design. Calculated ejection force was maximum at the beginning of ejection and differed by 10%–16% from experimental values, with the difference being much less over the main part of the ejection process. The maximum number of ejector pins for failed ejection was predicted. The difference between the predicted and observed number of ejector pins was at most four pins for a twenty ejector pin system.

Application of Taguchi Method to the Optimal Parameters of Injection Molding for the Plastic Components of the Braille Display Cell

2014 ◽  
Vol 1052 ◽  
pp. 495-502
Author(s):  
Fung Huei Yeh ◽  
Ching Lun Li ◽  
Bing Ming Chen
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Surface Defects ◽  
Optimal Parameters ◽  
Melt Temperature ◽  
Filling Time ◽  
Short Shot ◽  
Plastic Components ◽  
Mold Flow ◽  
Braille Display

The paper studies the optimal parameters of injection molding to avoid the deformation, warping, short shot, and surface defects for the plastic components of Braille display cell. At first the Pro/Engineer parametric software is applied for the entity design and rendering. Then the Mold-Flow software is used for mold flow analysis on the influence of each injection parameters. The results show mold temperature, melt temperature, injection pressure, and filling time are the most influential factors on reducing component deformation. Besides, the L9 orthogonal array of Taguchi method is applied to find out the optimal parameters of injection molding. The deformation, short shot and surface defects of the plastic components in Braille display cell are reduced.

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