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Performance evaluation of 3D printing technologies: a review, recent advances, current challenges, and future directions
Traditional manufacturing methods have become obsolete nowadays with the evolution of
3D printing. 3D printing has provided a totally new paradigm to modern-day manufacturing …
3D printing. 3D printing has provided a totally new paradigm to modern-day manufacturing …
[HTML][HTML] Machine learning for polymer composites process simulation–a review
Over the last 20 years Machine Learning (ML) has been applied to a wide variety of
applications in the fields of engineering and computer science. In the field of material …
applications in the fields of engineering and computer science. In the field of material …
Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions
The industrial internet of things (IIoT) is a buzzword for an industrial framework that paves
the way for intelligent manufacturing. These intelligent technologies are gradually replacing …
the way for intelligent manufacturing. These intelligent technologies are gradually replacing …
Machine learning in injection molding: An industry 4.0 method of quality prediction
One of the essential requirements of injection molding is to ensure the stable quality of the
parts produced. However, numerous processing conditions, which are often interrelated in …
parts produced. However, numerous processing conditions, which are often interrelated in …
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities
Artificial intelligence has played a potential role in present technological advancements. In
terms of additive manufacturing or 3D printing techniques, computational AI models and …
terms of additive manufacturing or 3D printing techniques, computational AI models and …
Application of supervised machine learning methods in injection molding process for initial parameters setting: prediction of the cooling time parameter
The injection molding process is considered as one of the most used process in the plastics
industry due to its reliability and its profitability; however nowadays, the injection industry …
industry due to its reliability and its profitability; however nowadays, the injection industry …
[HTML][HTML] Industry 4.0 in-line AI quality control of plastic injection molded parts
SS Aminabadi, P Tabatabai, A Steiner, DP Gruber… - Polymers, 2022 - mdpi.com
Automatic in-line process quality control plays a crucial role to enhance production efficiency
in the injection molding industry. Industry 4.0 is leading the productivity and efficiency of …
in the injection molding industry. Industry 4.0 is leading the productivity and efficiency of …
[HTML][HTML] The integration of advanced mechatronic systems into industry 4.0 for smart manufacturing
In recent years, the rapid advancement of digital technologies has driven a profound
transformation in both individual lives and business operations. The integration of Industry …
transformation in both individual lives and business operations. The integration of Industry …
A novel DL-BiGRU multi-feature fusion and deep transfer learning based modeling approach for quality prediction of injection molded products using small-sample …
In the process of establishing a quality prediction model for injection molded products,
challenges often arise due to the inability to fully utilize process data in injection molding …
challenges often arise due to the inability to fully utilize process data in injection molding …
Generative machine learning-based multi-objective process parameter optimization towards energy and quality of injection molding
The high energy intensity and rigorous quality demand of injection molding have received
significant interest under the background of the soaring production of global plastic industry …
significant interest under the background of the soaring production of global plastic industry …