Comparison of injection molding processability of polylactic acid and high density polyethylene via computational approach

2013 ◽  
Vol 33 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Lee Tin Sin ◽  
Yi-Ru Ng ◽  
Soo-Tueen Bee ◽  
Tiam-Ting Tee ◽  
A. R. Rahmat ◽  
...  
Keyword(s):  
Injection Molding ◽  
Polylactic Acid ◽  
High Density Polyethylene ◽  
Simulation Software ◽  
High Density ◽  
Computational Method ◽  
Clamp Force ◽  
Injection Molding Simulation ◽  
Velocity Pressure ◽  
Mean Time

Abstract The purpose of this paper is to compare the injection molding processability of polylactic acid (PLA) and high density polyethylene (HDPE) via a computational method. This study was conducted using injection molding simulation software Moldflow® using an iPhone 4 case (I4C) to evaluate the filling and packing stages of PLA and HDPE. The fill time, velocity/pressure switch over (VPSO), frozen layer fraction, time to freeze, volumetric shrinkages and clamp force were analyzed. The results showed that PLA requires a slightly longer time to fill the cavity compared to HDPE. At the mean time, the VPSO of PLA was larger than HDPE, as a result of the higher viscosity characteristic of PLA. From the packing analysis, it was found that the extent of shrinkage for PLA and HDPE was 4.11% and 4.78%, respectively. This result shows that an I4C produced by either PLA or HDPE have very close dimensions. In other words, the redesign of mold to fulfill the different shrinkage extent for PLA and HDPE is unnecessary, which indicates a cost of production saving. Finally, the manufacturing of PLA required a higher tonnage injection molding machine compared to HDPE where the clamp tonnage of PLA is 2.5 times higher than HDPE.

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.

Extension of the orientation region of high density polyethylene molded by gas-assisted injection molding: control of the thermal field

2014 ◽  
Vol 63 (12) ◽  
pp. 1997-2007 ◽  
Author(s):  
Xiao-Chao Xia ◽  
Quan-Ping Zhang ◽  
Long Wang ◽  
Shan He ◽  
Jian-Ming Feng ◽  
...  
Keyword(s):  
Injection Molding ◽  
High Density Polyethylene ◽  
Thermal Field ◽  
High Density

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.

Polylactic acid and high‐density polyethylene blend: Characterization and application in additive manufacturing

2020 ◽  
Vol 137 (48) ◽  
pp. 49602
Author(s):  
Muhammad Harris ◽  
Johan Potgieter ◽  
Sudip Ray ◽  
Richard Archer ◽  
Khalid Mahmood Arif
Keyword(s):  
Additive Manufacturing ◽  
Polylactic Acid ◽  
High Density Polyethylene ◽  
High Density ◽  
Polyethylene Blend

Mold replication in injection molding of high density polyethylene

2020 ◽  
Vol 60 (10) ◽  
pp. 2459-2469
Author(s):  
Fabrizio Quadrini ◽  
Denise Bellisario ◽  
Loredana Santo ◽  
Luana Bottini ◽  
Alberto Boschetto
Keyword(s):  
Injection Molding ◽  
High Density Polyethylene ◽  
High Density
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