scholarly journals Prediction of Flash Formed in Plastic Injection Molding Using Aluminum Alloy Mold Cavity by Numerical Simulation Considering Deformation of Mold Parts

2019 ◽  
Vol 31 (10) ◽  
pp. 3141
Author(s):  
Makoto Nikawa ◽  
Hiroki Shibata ◽  
Keisuke Hatanaka ◽  
Minoru Yamashita
Keyword(s):  
Numerical Simulation ◽  
Aluminum Alloy ◽  
Injection Molding ◽  
Plastic Injection Molding ◽  
Mold Cavity ◽  
Plastic Injection

scholarly journals Soft Computing Based Cavity Temperature Control of Plastic Injection Molding system

2017 ◽  
Vol 12 (9) ◽  
pp. 4389-4397
Author(s):  
S. J. Suji Prasad
Keyword(s):  
Injection Molding ◽  
Soft Computing ◽  
Temperature Control ◽  
Fitness Function ◽  
Three Dimensional ◽  
Pso Algorithm ◽  
Plastic Injection Molding ◽  
Mold Cavity ◽  
Molding System ◽  
Plastic Injection

The plastic parts having complex three dimensional structures are produced by Plastic injection molding system. Thequality of the product is determined by controlling the temperature of the mold cavity. The mold cavity temperature controlwith the conventional ON/OFF, PI, and PID controllers have several disadvantages. This paper proposes the method toreduce settling time and undershoot in cavity temperature control with selected evolutionary algorithms. The controllerparameters are optimized with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithm for PID and I-PDcontrollers by considering Mean Square Error (MSE) as fitness function. Compared to conventional methods theparameter optimization using soft computing methods such as GA and PSO improves the performance indices of PID andI-PD controllers.

scholarly journals Energy and Eco-Impact Evaluation of Fused Deposition Modeling and Injection Molding of Polylactic Acid

2021 ◽  
Vol 13 (4) ◽  
pp. 1875
Author(s):  
Emmanuel Ugo Enemuoh ◽  
Venkata Gireesh Menta ◽  
Abdulaziz Abutunis ◽  
Sean O’Brien ◽  
Labiba Imtiaz Kaya ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Injection Molding ◽  
Polylactic Acid ◽  
Fused Deposition Modeling ◽  
Plastic Injection Molding ◽  
Measurement Models ◽  
Fused Deposition ◽  
Dog Bone ◽  
Deposition Modeling ◽  
Plastic Injection

There is limited knowledge about energy and carbon emission performance comparison between additive fused deposition modeling (FDM) and consolidation plastic injection molding (PIM) forming techniques, despite their recent high industrial applications such as tools and fixtures. In this study, developed empirical models focus on the production phase of the polylactic acid (PLA) thermoplastic polyester life cycle while using FDM and PIM processes to produce American Society for Testing and Materials (ASTM) D638 Type IV dog bone samples to compare their energy consumption and eco-impact. It was established that energy consumption by the FDM layer creation phase dominated the filament extrusion and PLA pellet production phases, with, overwhelmingly, 99% of the total energy consumption in the three production phases combined. During FDM PLA production, about 95.5% of energy consumption was seen during actual FDM part building. This means that the FDM process parameters such as infill percentage, layer thickness, and printing speed can be optimized to significantly improve the energy consumption of the FDM process. Furthermore, plastic injection molding consumed about 38.2% less energy and produced less carbon emissions per one kilogram of PLA formed parts compared to the FDM process. The developed functional unit measurement models can be employed in setting sustainable manufacturing goals for PLA production.

Sign in / Sign up

Export Citation Format

Share Document