Performance limitations in polymer laser sintering
DL Bourell, TJ Watt, DK Leigh, B Fulcher - Physics Procedia, 2014 - Elsevier
Commercial laser sintering (LS) machines have been used for years in a variety of rapid
prototy** applications. Emphasis in the LS research community has moved towards rapid …
prototy** applications. Emphasis in the LS research community has moved towards rapid …
Modeling and Optimization of the Injection‐Molding Process: A Review
The purpose of this article is to review the research done in the field of mathematical
modeling and optimization of the injection-molding (IM) process. Various papers related to …
modeling and optimization of the injection-molding (IM) process. Various papers related to …
[BOEK][B] Principles of polymer systems
F Rodriguez, C Cohen, CK Ober, L Archer - 2014 - books.google.com
A classic text in the field of chemical engineering, this revised sixth edition offers a
comprehensive exploration of polymers at a level geared toward upper-level …
comprehensive exploration of polymers at a level geared toward upper-level …
[BOEK][B] Fundamentals of polymer engineering
Exploring the chemistry of synthesis, mechanisms of polymerization, reaction engineering of
step-growth and chain-growth polymerization, polymer characterization, thermodynamics …
step-growth and chain-growth polymerization, polymer characterization, thermodynamics …
Intelligent injection molding on sensing, optimization, and control
Injection molding is one of the most significant material processing methods for mass
production of plastic products. It is widely used in various industry sectors, and its products …
production of plastic products. It is widely used in various industry sectors, and its products …
Deep learning aided multi-objective optimization and multi-criteria decision making in thermal cracking process for olefines production
Background Multilayer perceptron (MLP) aided multi-objective particle swarm optimization
algorithm (MOPSO) is employed in the present article to optimize the liquefied petroleum …
algorithm (MOPSO) is employed in the present article to optimize the liquefied petroleum …
A reinforcement learning decision model for online process parameters optimization from offline data in injection molding
F Guo, X Zhou, J Liu, Y Zhang, D Li, H Zhou - Applied Soft Computing, 2019 - Elsevier
Injection molding is widely used owing to its ability to form high precision products. Good
dimensional accuracy control depends on appropriate process parameters settings …
dimensional accuracy control depends on appropriate process parameters settings …
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process
Manufacturing quality control (QC) in plastic injection moulding is of the upmost importance
since almost one third of plastic products are manufactured via the injection moulding …
since almost one third of plastic products are manufactured via the injection moulding …
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data
Big Data will revolutionize modern industry by improving process optimization, facilitating
insight discovery, and improving decision-making. This big data revolution presents a …
insight discovery, and improving decision-making. This big data revolution presents a …
Optimization of injection molding process based on fuzzy quality evaluation and Taguchi experimental design
This paper presents the multi-objective optimization in injection molding. The aim of this
study is to determine the best alternative for the best moldability index and better alternatives …
study is to determine the best alternative for the best moldability index and better alternatives …