S Gu, M Choi, H Park, S Jeong, J Doh, S Park - JMST Advances, 2023 - Springer
… materials for AM. In particular, the use of artificialintelligence in the development of materials … indicators using process monitoring, predicting mechanical properties of the output such as …
A Dinesh, B Kamal, M Akash, KR Surthik - Materials Today: Proceedings, 2023 - Elsevier
… the application of ArtificialIntelligence to the assessment of mechanical properties of … is to use artificialintelligence to monitor the structural health and mechanical characteristics of …
Z Du, W Hao, X Chen, X Hou, W Huo, C Liu… - Extreme Mechanics …, 2023 - Elsevier
… Recently, artificialintelligence (AI) has been … materials and structures in mechanics [25], [26], [27], [28], [29], [30]. Therefore, it would be exciting to combine artificialintelligence and …
JF Durodola - Progress in Materials Science, 2022 - Elsevier
… in materials processing and behaviour however still pose considerable challenge and yet require solving. Machinelearning … of machinelearning to various aspects of materials design, …
Y Zang, F Zhang, C Di, D Zhu - Materials Horizons, 2015 - pubs.rsc.org
… The successful detection of these three different mechanical loads with high sensitivity and a wide dynamic sensing range indicates that these sensors possess the potential for use in …
S Krajewski, J Nowacki - Archives of civil and mechanical engineering, 2014 - Elsevier
… Computational Materials Engineering. He points to integration of the process of material design … Due to favourable mechanical properties with regard to the density of the Advanced High …
… Lagrange multiplier method to optimize the material removal rate. Theprediction of … artificial neural network with respect on the surface roughness, tool wear, cutting forces and material …
… This paper deals with the development of new artificialintelligence models to predict both the acoustic waves and the rock mechanical parameters. The proposed models will use …
A Stoll, P Benner - GAMM‐Mitteilungen, 2021 - Wiley Online Library
… 2.2 ML for metallic material characterization Mechanicalmaterial properties are characteristics to be precisely predicted and controlled as they are strongly linked to and highly affected …