A review on machine learning models in injection molding machines

SK Selvaraj, A Raj… - … in Materials Science …, 2022 - Wiley Online Library
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 …

Quality prediction for injection molding by using a multilayer perceptron neural network

KC Ke, MS Huang - Polymers, 2020 - mdpi.com
Injection molding has been widely used in the mass production of high-precision products.
The finished products obtained through injection molding must have a high quality. Machine …

Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0

TV Andrianandrianina Johanesa, L Equeter… - Electronics, 2024 - mdpi.com
Recent technological advancements such as IoT and Big Data have granted industries
extensive access to data, opening up new opportunities for integrating artificial intelligence …

Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process

J Obregon, J Hong, JY Jung - Journal of Manufacturing Systems, 2021 - Elsevier
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 …

Quality prediction and yield improvement in process manufacturing based on data analytics

J Jun, TW Chang, S Jun - Processes, 2020 - mdpi.com
Quality management is important for maximizing yield in continuous-flow manufacturing.
However, it is more difficult to manage quality in continuous-flow manufacturing than in …

Enhance the injection molding quality prediction with artificial intelligence to reach zero-defect manufacturing

B Silva, R Marques, D Faustino, P Ilheu, T Santos… - Processes, 2022 - mdpi.com
With the spread of the Industry 4.0 concept, implementing Artificial Intelligence approaches
on the shop floor that allow companies to increase their competitiveness in the market is …

A comparison of machine learning techniques for the quality classification of molded products

A Polenta, S Tomassini, N Falcionelli, P Contardo… - Information, 2022 - mdpi.com
The developments in the internet of things (IoT), artificial intelligence (AI), and cyber-physical
systems (CPS) are paving the way to the implementation of smart factories in what is …

An explanatory study on defects in plastic molding parts caused by machine parameters in injection molding process

A Mourya, A Nanda, K Parashar, R Kumar - Materials Today …, 2023 - Elsevier
Abstract In the Injection Molding process, the output product quality is dependence on
various attributes such as product geometry, the material used for manufacturing, and the …

Evaluation of the injection molding process behavior during start-up and after parameter changes using dynamic time warping 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 …

Development of a quality prediction algorithm for an injection molding process considering cavity sensor and vibration data

J Kim, JY Lee - International Journal of Precision Engineering and …, 2023 - Springer
This research develops a neural-network algorithm for predicting the quality levels of
injection molding products to handle quality regarding problems. The main objective of this …