Concurrent structural topology and injection gate location optimization for injection molding multi-material parts

2022 ◽  
Vol 165 ◽  
pp. 103088
Author(s):  
Junyu Fu ◽  
Xiaogang Zhang ◽  
Long Quan ◽  
Yongsheng Ma
Keyword(s):  
Injection Molding ◽  
Structural Topology ◽  
Location Optimization ◽  
Gate Location

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.

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.

Gate Location Optimization in Injection Molding By Using Modified Hill-Climbing Algorithm

2004 ◽  
Vol 43 (3) ◽  
pp. 649-659 ◽  
Author(s):  
Chang-Yu Shen ◽  
Xiao-Rong Yu ◽  
Qian Li ◽  
Hai-Mei Li
Keyword(s):  
Injection Molding ◽  
Hill Climbing ◽  
Location Optimization ◽  
Gate Location ◽  
Hill Climbing Algorithm

Optimization of injection molding design. Part I: Gate location optimization

1990 ◽  
Vol 30 (15) ◽  
pp. 873-882 ◽  
Author(s):  
Ioannis Pandelidis ◽  
Qin Zou
Keyword(s):  
Injection Molding ◽  
Location Optimization ◽  
Gate Location

Gate Location Optimization in Injection Molding Based on Empirical Search Method

2008 ◽  
Vol 575-578 ◽  
pp. 55-62 ◽  
Author(s):  
Xiao Yan Huang ◽  
De Qun Li ◽  
Qiang Xu
Keyword(s):  
Injection Molding ◽  
Practical Method ◽  
Optimization Methods ◽  
Search Method ◽  
Mathematics Model ◽  
Molding Process ◽  
Structural Part ◽  
Location Optimization ◽  
Gate Location ◽  
Empirical Search

In injection mold, design of gate location is among the most critical factors in achieving dimensionally accurate parts and high productivity of the molding process, since it influences the manner in which the plastic flows into the mold cavity. To automatically predict the optimal gate location of injection molds based on injection-molding simulation, a new and practical method: empirical search method according to the analysis of common optimization methods has been presented in this article. In this method, the gate location scope is initiated by the practical experience of mold designer so that the core for the gate location optimization is construction of empirical library. In order to build the empirical library, in terms of shape and function characteristic of injection-molding part, all the parts are classified six kinds: shell, container, plate, structural part, ornamental part and transparent part, and the corresponding design rules are kept in the empirical library. In addition, this article combines the empirical search method and numerical simulation technique, builds the mathematics model for the gate location optimization of plate part in empirical library and obtains the gate location optimization scheme for this kind of part through one concrete numerical example. The analysis and verification by adopting the software Moldflow testify the optimization mathematics model is effective.

Gate location optimization scheme for plastic injection molding

e-Polymers ◽  
2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Ming Zhai ◽  
Yeecheong Lam ◽  
Chikit Au
Keyword(s):  
Injection Molding ◽  
Objective Function ◽  
Flow Path ◽  
Computationally Efficient ◽  
Gate Location ◽  
Adjacent Node ◽  
Filling Time ◽  
Efficient Scheme ◽  
Balanced Flow ◽  
Search Routine

AbstractGate location of injection molding is vital to achieve high quality plastic part. The determination of gate location is an important issue in mold design. A computationally efficient scheme based on flow path is proposed to locate the optimum gate for achieving balanced flow. The range of filling time is employed as objective function. Comparisons were made between the flow path search scheme and the existing adjacent node evaluation scheme, and between the objective function of the range of filling time and the existing standard deviation of filling time. The two examples investigated indicated that the search routine based on the concept of flow path is more efficient computationally and the range of filling time is a better objective function to reflect the uniformity of fill.

Injection molding analysis of a needle cover — Optimum filling for gate location design

2012 ◽  
Vol 13 (9) ◽  
pp. 1185-1189 ◽  
Author(s):  
Du Hwan Chun ◽  
Byoung Hee You ◽  
Dong Joo Song
Keyword(s):  
Injection Molding ◽  
Gate Location ◽  
Location Design
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