Application of mould filling analysis to gate location optimization in injection moulding

1991 ◽  
Vol 46 (7-8) ◽  
pp. 61
Keyword(s):  
Injection Moulding ◽  
Location Optimization ◽  
Gate Location ◽  
Mould Filling ◽  
Filling Analysis

Evaluation of Cadmould Software to Simulate the Filling Phase of a Natural Rubber Compound in Injection Moulding Process

2013 ◽  
Vol 747 ◽  
pp. 571-574 ◽  
Author(s):  
Zulkifli Mohamad Ariff ◽  
T.H. Khang
Keyword(s):  
Natural Rubber ◽  
Injection Moulding ◽  
Input Data ◽  
Cure Kinetics ◽  
Rubber Compound ◽  
Moulding Process ◽  
Related Data ◽  
Mould Filling ◽  
Injection Moulding Process ◽  
Material Input

The possibility of using Cadmould software to simulate the filling behaviour of a natural rubber compound during an injection moulding process was investigated. For the simulation process, the determination of required material input data involving the rheological and cure kinetics data of the designed rubber compound were conducted. It was discovered that the acquired data were able to function as reliable material input data as they were comparable with related data available in the Cadmould software materials database. Verification of the simulated filling profiles by experimental short shots specimens showed that the Cadmould Rubber Package was able to predict the realistic filling behaviour of the formulated natural rubber compound inside the mould cavity when the measured material data were utilized. Whereas, the usage of available material database from the software failed to model the mould filling progression of the intended natural rubber compound.

Gate Location Optimization in Injection Molding Processing

2000 ◽  
Author(s):  
Baojiu Lin ◽  
Won Gil Ryim
Keyword(s):  
Injection Molding ◽  
Simulation Software ◽  
Innovative Technology ◽  
Software Module ◽  
Location Optimization ◽  
Gate Location ◽  
Part Quality ◽  
Design Cycle ◽  
Injection Molding Simulation ◽  
Complex Models

Abstract Improvements in part quality and cost reduction are the primary objectives of CAE use in the injection molding industry. Engineers use advanced injection molding simulation software to analyze and verify their part designs. Traditionally, engineers have had to rerun simulations to verify the effects of changes in gate locations. For complex models, simulations are very time consuming. To reduce the design cycle time, a Design Optimization Module is developed by C-MOLD. One of the functions of this new software module is to automatically select optimal gate locations. This innovative technology is the result of close R&D collaboration between C-MOLD and LG-PRC in Korea. An overview of gate location optimization technology is presented in this paper, and several examples are also presented as illustration.

Simulation of the micro-injection moulding process: effect of the thermo-rheological status on the morphology

2011 ◽  
Vol 225 (4) ◽  
pp. 224-238 ◽  
Author(s):  
T Nguyen-Chung ◽  
C Löser ◽  
G Jüttner ◽  
T Pham ◽  
M Obadal ◽  
...  
Keyword(s):  
Injection Moulding ◽  
Process Conditions ◽  
Transfer Coefficients ◽  
Moulding Process ◽  
Micro Injection Moulding ◽  
Mould Filling ◽  
Injection Moulding Process ◽  
Moulding Machine ◽  
Simulation Results ◽  
Micro Cavity

The software package Moldflow Plastics Insights was used to simulate the filling of a micro-cavity by considering precise material data and accurate boundary conditions. Experiments were carried out on an accurately controlled micro-injection moulding machine (formicaPlast) for providing important parameters to verify the simulation results and improve the accuracy of the simulation. Based on the relationship between the cavity pressure and the mould-filling ratio, the heat transfer coefficients can be appropriately determined for different process conditions. Finally, the transient thermo-rheological results were analysed with regard to their influence on the morphology of semi-crystalline (PP) micro-injection moulded parts, which not only give rise to the mechanisms of the morphological formation but also verify the quality of the simulation results.

Determination of the Optimal Locations for Injection Molding Gates with Higher Order Response Surface Approximations

2013 ◽  
Vol 479-480 ◽  
pp. 126-130 ◽  
Author(s):  
Kun Nan Chen ◽  
Wen Der Ueng
Keyword(s):  
Injection Molding ◽  
Pressure Distribution ◽  
Response Surface ◽  
Injection Pressure ◽  
Optimization Method ◽  
Higher Order ◽  
Programming Technique ◽  
Location Optimization ◽  
Gate Location ◽  
Response Surface Approximations

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.

Powder Injection Moulding and Liquid Phase Sintering of Aluminium - SiC Particulate Composite

2021 ◽  
Vol 904 ◽  
pp. 213-220
Author(s):  
Tapany Patcharawit ◽  
Phongsathon Thongbo ◽  
Nitithorn Sengna ◽  
Piyanat Auttachon ◽  
Nutthita Chuankrerkkul
Keyword(s):  
Injection Moulding ◽  
Particulate Composite ◽  
Liquid Phase Sintering ◽  
Powder Injection ◽  
Solid Loading ◽  
Powder Injection Moulding ◽  
Mould Filling ◽  
Commercial Aluminium ◽  
Property Assessment ◽  
Microstructure Density

Metal matrix composite has been increasingly appreciated by many engineering applications due it its tailored properties for specific uses. Powder injection moulding is one of the most effective composite processing essentially for small and complex parts. Moulding of feedstock is the key step determining green and sintered properties. This research investigated effects of moulding parameters which are % solid loading and moulding speed on microstructure and properties of aluminium composite. Commercial aluminium alloy powder and SiC particulate at 15 vol.% addition were formulated at 55 % and 60 % solid loading. Injection moulding were operated using a horizontal screw driven typed machine at 1600-1800 rpm speed and 280 - 300 °C moulding temperature. After sintering at 655 °C, property assessment via microstructure, density, % shrinkage, distortion and hardness were carried out. It was found that feedstock of 55 % solid loading occasionally led to flash problem while that of higher solid loading experienced higher viscosity to fulfill four-cavity mould. Moulding speed investigated did not significantly affect mould filling and overall properties. Sintered microstructures generally showed well-distributed SiC particulate in the aluminium matrix. The optimum injection moulding condition was the feedstock prepared at 60% solid loading, moulding at 1800 rpm speed, which offered theoretical density of greater than 98.5 % and micro Vickers hardness of 125.2 Hv.

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