A review on machine learning models in injection molding machines
One of the most suitable methods for the mass production of complicated shapes is injection
molding due to its superior production rate and quality. The key to producing higher quality …
molding due to its superior production rate and quality. The key to producing higher quality …
Polymeric materials obtained by extrusion and injection molding from lignocellulosic agroindustrial biomass
A Pacheco, A Evangelista-Osorio… - Polymers, 2023 - mdpi.com
This review presents the advances in polymeric materials achieved by extrusion and
injection molding from lignocellulosic agroindustrial biomass. Biomass, which is derived …
injection molding from lignocellulosic agroindustrial biomass. Biomass, which is derived …
A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes
As one of the most important modes of industrial production, the batch process often
involves complex and continuous physicochemical reactions, making it challenging to …
involves complex and continuous physicochemical reactions, making it challenging to …
[HTML][HTML] A causal model-inspired automatic feature-selection method for develo** data-driven soft sensors in complex industrial processes
The soft sensing of key performance indicators (KPIs) plays an essential role in the decision-
making of complex industrial processes. Many researchers have developed data-driven soft …
making of complex industrial processes. Many researchers have developed data-driven soft …
A hybrid optimization approach for intelligent manufacturing in plastic injection molding by using artificial neural network and genetic algorithm
This study presents a novel hybrid optimization approach for intelligent manufacturing in
plastic injection molding (PIM). It focuses on globally optimizing process parameters to …
plastic injection molding (PIM). It focuses on globally optimizing process parameters to …
Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes
Lacking the understanding of the first principles leads to the apparent black box attributes of
complex industrial processes. How to understand complex industrial processes from data …
complex industrial processes. How to understand complex industrial processes from data …
Application of machine learning for prediction and process optimization—case study of blush defect in plastic injection molding
Injection molding is one of the most important processes for the mass production of plastic
parts. In recent years, many researchers have focused on predicting the occurrence and …
parts. In recent years, many researchers have focused on predicting the occurrence and …
Evaluation of the injection molding process behavior during start-up and after parameter changes using dynamic time war** correspondences
J Volke, HP Heim - Journal of Manufacturing Processes, 2023 - Elsevier
Injection molding is one of the most widely used plastic processes due to its mass
production capability and low production costs. Both simple and complex part geometries …
production capability and low production costs. Both simple and complex part geometries …
Artificial Neural Network Training Using Structural Learning with Forgetting for Parameter Analysis of Injection Molding Quality Prediction
The analysis of influential machine parameters can be useful to plan and design a plastic
injection molding process. However, current research in parameter analysis is mostly based …
injection molding process. However, current research in parameter analysis is mostly based …
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
Modeling environmental ecosystems is critical for the sustainability of our planet, but is
extremely challenging due to the complex underlying processes driven by interactions …
extremely challenging due to the complex underlying processes driven by interactions …