scholarly journals Enhanced Injection Molding Simulation of Advanced Injection Molds

Polymers ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 77 ◽  
Author(s):  
Béla Zink ◽  
Ferenc Szabó ◽  
István Hatos ◽  
András Suplicz ◽  
Norbert Kovács ◽  
...  
Keyword(s):  
Injection Molding ◽  
Injection Molding Simulation

Key Technologies Research on Color Contour Map of 3D Injection Molding Simulation Results

2012 ◽  
Vol 217-219 ◽  
pp. 1998-2001
Author(s):  
Tie Geng ◽  
Qing Hai Ren ◽  
Wei Qing Tu ◽  
Dan Dan Liu
Keyword(s):  
Injection Molding ◽  
Color Image ◽  
Three Dimensional ◽  
Physical Field ◽  
Contour Map ◽  
Image Rendering ◽  
Color Range ◽  
Key Technologies ◽  
Injection Molding Simulation ◽  
Simulation Results

According to the color contour map of the 3D injection molding simulation results, the commonly used color contour map drawing algorithm was researched, and a three-dimensional color image rendering algorithm which based on the "physical field values and color range mapping" was given too. And the key technologies of the algorithm which was used to draw 3D color contour map were introduced in detail. In the end, an example was given.

The Use of Advanced Aluminum Alloys for Enhanced Productivity in Plastic Injection Molding

2000 ◽  
Author(s):  
Jim Nerone ◽  
Karthik Ramani
Keyword(s):  
Aluminum Alloys ◽  
Injection Molding ◽  
Wall Thickness ◽  
Simulation Software ◽  
Cooling Time ◽  
Coolant Temperature ◽  
Steel Mold ◽  
Cooling Channels ◽  
Injection Molding Simulation ◽  
Increased Strength

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.

Optimization of fiber prediction model coefficients in injection molding simulation based on micro computed tomography

2018 ◽  
Vol 59 (s2) ◽  
pp. E152-E160 ◽  
Author(s):  
Matthias Morak ◽  
Daniel Tscharnuter ◽  
Thomas Lucyshyn ◽  
Wolfram Hahn ◽  
Michael Göttlinger ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Injection Molding ◽  
Prediction Model ◽  
Micro Computed Tomography ◽  
Simulation Based ◽  
Injection Molding Simulation

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.

An efficient coupled pressure–velocity solver for three-dimensional injection molding simulation using Schur complement preconditioned FGMRES

2019 ◽  
Vol 36 (4) ◽  
pp. 1101-1120
Author(s):  
Xiang Liu ◽  
Fei Guo ◽  
Yun Zhang ◽  
Junjie Liang ◽  
Dequn Li ◽  
...  
Keyword(s):  
Injection Molding ◽  
Three Dimensional ◽  
Simple Algorithm ◽  
Schur Complement ◽  
Gradient Term ◽  
Content Type ◽  
Coupled Problem ◽  
Parallel Performance ◽  
Injection Molding Simulation ◽  
Fully Coupled

Purpose The purpose of this paper is to develop a coupled approach to solve the pressure–velocity-coupled problem efficiently in the three-dimensional injection molding simulation. Design/methodology/approach A fully coupled pressure–velocity algorithm is developed to solve the coupled problem, by treating the pressure gradient term implicitly. And, the Schur complement preconditioned FGMRES is applied to decompose the resulting coupled pressure–velocity equation into pressure and velocity subsystems. Then, BoomerAMG is adopted to solve the pressure subsystem, and block Jacobi preconditioned FGMRES is applied to the velocity subsystem. Findings According to the several experiments, the fully coupled pressure–velocity algorithm was demonstrated to have faster convergence than the traditional SIMPLE algorithm, and the calculating time was reduced by up to 70 per cent. And, the Schur complement preconditioned FGMRES worked more efficiently than block Gauss–Seidel preconditioned FGMRES, block-selective AMG and AMG with block ILU(0) smoother and could take at least 47.4 per cent less time. The proposed solver had good scalability for different-size problems, including various cases with different numbers of elements. It also kept good speedup and efficiency in parallel performance. Originality/value A coupled solver has been proposed to effectively solve the coupled problem in the three-dimensional injection molding simulation, which is more robust and efficient than existing methods.

scholarly journals Multiscale Modeling and Simulation of Polymer Blends in Injection Molding: A Review

Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3783
Author(s):  
Lin Deng ◽  
Suo Fan ◽  
Yun Zhang ◽  
Zhigao Huang ◽  
Huamin Zhou ◽  
...  
Keyword(s):  
Injection Molding ◽  
Modeling And Simulation ◽  
Polymer Blends ◽  
Multiscale Modeling ◽  
Technological Development ◽  
Future Research ◽  
Morphology Evolution ◽  
Immiscible Polymer Blends ◽  
Injection Molding Simulation ◽  
Pros And Cons

Modeling and simulation of the morphology evolution of immiscible polymer blends during injection molding is crucial for predicting and tailoring the products’ performance. This paper reviews the state-of-the-art progress in the multiscale modeling and simulation of injection molding of polymer blends. Technological development of the injection molding simulation on a macroscale was surveyed in detail. The aspects of various models for morphology evolution on a mesoscale during injection molding were discussed. The current scale-bridging strategies between macroscopic mold-filling flow and mesoscopic morphology evolution, as well as the pros and cons of the solutions, were analyzed and compared. Finally, a comprehensive summary of the above models is presented, along with the outlook for future research in this field.

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