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A comprehensive review of injection mold cooling by using conformal cooling channels and thermally enhanced molds
Conformal cooling channels (CCCs) are employed to improve the cooling rate due to the
equal distance from the mold surface. CCCs play a key role in mold injection productivity by …
equal distance from the mold surface. CCCs play a key role in mold injection productivity by …
Machine learning to enhance sustainable plastics: A review
Plastic pollution requires advances in the production, use, and recovery of plastics to
minimize environmental and human-health impacts. Machine Learning (ML) has been …
minimize environmental and human-health impacts. Machine Learning (ML) has been …
Enhance the injection molding quality prediction with artificial intelligence to reach zero-defect manufacturing
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 …
on the shop floor that allow companies to increase their competitiveness in the market is …
Enhancing SMEs digital transformation through machine learning: A framework for adaptive quality prediction
As smart manufacturing expands, businesses see the importance of digital transformation,
especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs …
especially for small and medium-sized enterprises (SMEs). Unlike larger companies, SMEs …
Application of digital methods in polymer science and engineering
T Schuett, P Endres, T Standau… - Advanced Functional …, 2024 - Wiley Online Library
The development of new polymer materials is an emerging field for more than 100 years.
However, it is currently facing major challenges and the application of digital methods can …
However, it is currently facing major challenges and the application of digital methods can …
Development of an algorithm for multicriteria optimization of deep learning neural networks
IA Alexandrov, AV Kirichek, VZ Kuklin… - HighTech and …, 2023 - hightechjournal.org
Nowadays, machine learning methods are actively used to process big data. A promising
direction is neural networks, in which structure optimization occurs on the principles of self …
direction is neural networks, in which structure optimization occurs on the principles of self …
A review of research progress on the minimization of weld lines in injection molding
Injection molding is in high demand in several industries due to its efficiency and versatility.
Quality control plays a crucial role in ensuring the excellence of plastic products during …
Quality control plays a crucial role in ensuring the excellence of plastic products during …
Intelligent recommendation system of the injection molding process parameters based on CAE simulation, process window, and machine learning
In this research, a recommendation system was designed for optimizing the injection
molding process parameters. The system incorporates the utilization of process windows …
molding process parameters. The system incorporates the utilization of process windows …
Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives
Abstract Machine learning (ML) has emerged as a pioneering tool in advancing the research
application of high‐performance solid‐state hydrogen storage materials (HSMs). This review …
application of high‐performance solid‐state hydrogen storage materials (HSMs). This review …
Product quality prediction for injection molding based on temperature field infrared thermography and convolutional neural network
Quality prediction of injection molded products holds significant importance in terms of
economic benefits. Researches have shown that the quality is closely related to product …
economic benefits. Researches have shown that the quality is closely related to product …