Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
Artificial Intelligence (AI) is a concept of creating intelligent machines that can mimic
human thinking capability and behavior. Machine learning is an application of AI that allows …

Application of artificial intelligence in additive manufacturing

S Gu, M Choi, H Park, S Jeong, J Doh, S Park - JMST Advances, 2023 - Springer
materials for AM. In particular, the use of artificial intelligence in the development of materials
… indicators using process monitoring, predicting mechanical properties of the output such as …

Implementation of artificial intelligence to the prediction of the mechanical properties of concrete: A review

A Dinesh, B Kamal, M Akash, KR Surthik - Materials Today: Proceedings, 2023 - Elsevier
… the application of Artificial Intelligence to the assessment of mechanical properties of … is
to use artificial intelligence to monitor the structural health and mechanical characteristics of …

Artificial intelligence-enhanced bioinspiration: Design of optimized mechanical lattices beyond deep-sea sponges

Z Du, W Hao, X Chen, X Hou, W Huo, C Liu… - Extreme Mechanics …, 2023 - Elsevier
… Recently, artificial intelligence (AI) has been … materials and structures in mechanics [25],
[26], [27], [28], [29], [30]. Therefore, it would be exciting to combine artificial intelligence and …

Machine learning for design, phase transformation and mechanical properties of alloys

JF Durodola - Progress in Materials Science, 2022 - Elsevier
… in materials processing and behaviour however still pose considerable challenge and yet
require solving. Machine learning … of machine learning to various aspects of materials design, …

Advances of flexible pressure sensors toward artificial intelligence and health care applications

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 …

Dual-phase steels microstructure and properties consideration based on artificial intelligence techniques

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 …

[PDF][PDF] Artificial intelligence techniques for machining performance: A review

NH Razak, MM Rahman, MM Noor… - … in Mechanical …, 2010 - core.ac.uk
… 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

Estimation of rock mechanical parameters using artificial intelligence tools

Z Tariq, SM Elkatatny, MA Mahmoud… - … US Rock Mechanics …, 2017 - onepetro.org
… This paper deals with the development of new artificial intelligence models to predict both
the acoustic waves and the rock mechanical parameters. The proposed models will use …

Machine learning for material characterization with an application for predicting mechanical properties

A Stoll, P Benner - GAMM‐Mitteilungen, 2021 - Wiley Online Library
… 2.2 ML for metallic material characterization Mechanical material properties are characteristics
to be precisely predicted and controlled as they are strongly linked to and highly affected …