Review on the Reduction of Defects and Optimization of Cycle Time for Polymer Injection Molding

2020 ◽  
Author(s):  
Arun Raj K. ◽  
Roshin Das M. P.
Keyword(s):  
Injection Molding ◽  
Cycle Time ◽  
Polymer Injection ◽  
Polymer Injection Molding

In-line optical monitoring of polymer injection molding

1994 ◽  
Vol 34 (8) ◽  
pp. 671-679 ◽  
Author(s):  
Anthony J. Bur ◽  
Francis W. Wang ◽  
Charles L. Thomas ◽  
Joseph L. Rose
Keyword(s):  
Injection Molding ◽  
Optical Monitoring ◽  
Polymer Injection ◽  
Polymer Injection Molding

An apparatus forin situx-ray scattering measurements during polymer injection molding

2009 ◽  
Vol 80 (4) ◽  
pp. 043902 ◽  
Author(s):  
Stanley Rendon ◽  
Jun Fang ◽  
Wesley R. Burghardt ◽  
Robert A. Bubeck
Keyword(s):  
Injection Molding ◽  
Polymer Injection ◽  
Scattering Measurements ◽  
Polymer Injection Molding ◽  
Ray Scattering

scholarly journals Electricity Consumption Estimation of the Polymer Material Injection-Molding Manufacturing Process: Empirical Model and Application

Materials ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 1740 ◽  
Author(s):  
Ana Elduque ◽  
Daniel Elduque ◽  
Carmelo Pina ◽  
Isabel Clavería ◽  
Carlos Javierre
Keyword(s):  
Environmental Impact ◽  
Injection Molding ◽  
Empirical Model ◽  
Electricity Consumption ◽  
Injection Molding Process ◽  
Molding Process ◽  
Polymer Injection ◽  
Wide Range ◽  
Molded Parts ◽  
Polymer Injection Molding

Polymer injection-molding is one of the most used manufacturing processes for the production of plastic products. Its electricity consumption highly influences its cost as well as its environmental impact. Reducing these factors is one of the challenges that material science and production engineering face today. However, there is currently a lack of data regarding electricity consumption values for injection-molding, which leads to significant errors due to the inherent high variability of injection-molding and its configurations. In this paper, an empirical model is proposed to better estimate the electricity consumption and the environmental impact of the injection-molding process. This empirical model was created after measuring the electricity consumption of a wide range of parts. It provides a method to estimate both electricity consumption and environmental impact, taking into account characteristics of both the molded parts and the molding machine. A case study of an induction cooktop housing is presented, showing adequate accuracy of the empirical model and the importance of proper machine selection to reduce cost, electricity consumption, and environmental impact.

Polymer Injection Molding: C-Mold

2019 ◽  
Author(s):  
Gautam Majumdar ◽  
Lih‐Sheng Turng ◽  
Kuo‐King Wang ◽  
Salah A. Elsheikhi ◽  
Khaled A. Eldressi
Keyword(s):  
Injection Molding ◽  
Polymer Injection ◽  
Polymer Injection Molding

scholarly journals Processing of cenosphere/HDPE syntactic foams using an industrial scale polymer injection molding machine

2016 ◽  
Vol 92 ◽  
pp. 414-423 ◽  
Author(s):  
B.R. Bharath Kumar ◽  
Mrityunjay Doddamani ◽  
Steven E. Zeltmann ◽  
Nikhil Gupta ◽  
M.R. Ramesh ◽  
...  
Keyword(s):  
Injection Molding ◽  
Industrial Scale ◽  
Syntactic Foams ◽  
Molding Machine ◽  
Injection Molding Machine ◽  
Polymer Injection ◽  
Polymer Injection Molding

scholarly journals Simulation of Polymer Injection Molding: A New Practical Approach to Improve Computation Accuracy

2016 ◽  
Vol 7 (3) ◽  
pp. 25-28 ◽  
Author(s):  
Przemysław Narowski ◽  
Krzysztof Wilczyński
Keyword(s):  
Injection Molding ◽  
Input Data ◽  
Polymeric Materials ◽  
Engineering Problem ◽  
Injection Mold ◽  
Polymer Injection ◽  
Simple Tool ◽  
Cavity Filling ◽  
Polymer Injection Molding

Simulation of injection molding of polymeric materials is still a series scientific and engineering problem. The quality of the input data is crucial for computation accuracy. The original, relatively simple tool has been designed to validate simulations. This allows a fast identification of the critical input data, and next their proper adjustment to computations. FEM simulations have been compared with directly registered pictures of cavity filling process in a special injection mold with a sight-glass.

Efficient numerical simulation of injection mold filling with the lattice Boltzmann method

2017 ◽  
Vol 34 (2) ◽  
pp. 307-329 ◽  
Author(s):  
Lin Deng ◽  
Junjie Liang ◽  
Yun Zhang ◽  
Huamin Zhou ◽  
Zhigao Huang
Keyword(s):  
Injection Molding ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Present Model ◽  
Injection Molding Process ◽  
Content Type ◽  
Polymer Injection ◽  
Numerical Efficiency ◽  
Boltzmann Method ◽  
Polymer Injection Molding

Purpose Lattice Boltzmann method (LBM) has made great success in computational fluid dynamics, and this paper aims to establish an efficient simulation model for the polymer injection molding process using the LBM. The study aims to validate the capacity of the model for accurately predicting the injection molding process, to demonstrate the superior numerical efficiency in comparison with the current model based on the finite volume method (FVM). Design/methodology/approach The study adopts the stable multi-relaxation-time scheme of LBM to model the non-Newtonian polymer flow during the filling process. The volume of fluid method is naturally integrated to track the movement of the melt front. Additionally, a novel fractional-step thermal LBM is used to solve the convection-diffusion equation of the temperature field evolution, which is of high Peclet number. Through various simulation cases, the accuracy and stability of the present model are validated, and the higher numerical efficiency verified in comparison with the current FVM-based model. Findings The paper provides an efficient alternative to the current models in the simulation of polymer injection molding. Through the test cases, the model presented in this paper accurately predicts the filling process and successfully reproduces several characteristic phenomena of injection molding. Moreover, compared with the popular FVM-based models, the present model shows superior numerical efficiency, more fit for the future trend of parallel computing. Research limitations/implications Limited by the authors’ hardware resources, the programs of the present model and the FVM-based model are run on parallel up to 12 threads, which is adequate for most simulations of polymer injection molding. Through the tests, the present model has demonstrated the better numerical efficiency, and it is recommended for the researcher to investigate the parallel performance on even larger-scale parallel computing, with more threads. Originality/value To the authors’ knowledge, it is for the first time that the lattice Boltzmann method is applied in the simulation of injection molding, and the proposed model does obviously better in numerical efficiency than the current popular FVM-based models.

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