Machine learning of mechanical properties of steels

J Xiong, TY Zhang, SQ Shi - Science China Technological Sciences, 2020 - Springer
… discovery of novel advanced materials requires the use of … data and artificial intelligence,
data mining and machine learning (… materials discovery paradigm, which integrates materials

AI and the Future of the Machine Design

AK Noor - Mechanical engineering, 2017 - asmedigitalcollection.asme.org
… I think that is the wrong way to look at the contribution of artificial intelligence. Instead, …
The site contains links to online material related to a variety of aspects of artificial intelligence, …

The Application of Artificial Intelligence in Mechanical Manufacture Industry

Y Wang - IOP Conference Series: Materials Science and …, 2019 - iopscience.iop.org
… of the interfusion of artificial intelligence and mechanical manufacture industry. In fact, artificial
intelligence technology has been extensively applied in mechanical manufacture industry, …

Designing architected materials for mechanical compression via simulation, deep learning, and experimentation

AJ Lew, K Jin, MJ Buehler - npj Computational Materials, 2023 - nature.com
… Here, we focus on properties related to mechanical … , augmenting with data-driven artificial
intelligence models to address the … material properties and agnostic to the identity of the base …

A review of the application of machine learning and data mining approaches in continuum materials mechanics

FE Bock, RC Aydin, CJ Cyron, N Huber… - … in Materials, 2019 - frontiersin.org
… of materialsmachine learning and statistical learning approaches are reviewed in terms
of their successful application to specific problems in the field of continuum materials mechanics

[PDF][PDF] A Comparative Analisis of Artificial Intelligence-Based Methods for Fault Diagnosis of Mechanical Systems

RK Moghaddam, NM Yazdan - Mechanics and Mechanical …, 2019 - academia.edu
… The mechanical properties of composite materials can be greatly reduced in the presence
of defects and flaws. Although delamination and fiber defects are the normal consequences of …

Optimization with artificial intelligence in additive manufacturing: a systematic review

F Ciccone, A Bacciaglia, A Ceruti - … of the Brazilian Society of Mechanical …, 2023 - Springer
… This research demonstrates how, in this scenario, artificial intelligencemechanical
performances employing a particular material could be chosen with AI models, which is what …

… sustainable Fabrication, SEM Characterization, mechanical Testing, ANOVA analysis of PP-PETF recycled Composites: Artificial intelligence and deep learning …

A Hussain, D Goljandin, V Podgursky, CR Yörük… - European Polymer …, 2024 - Elsevier
… (PETF) composite materials were fabricated according to the … loadings were utilized for
mechanical properties’ optimization… , deep learning, and artificial intelligence studies predict the …

Artificial intelligence for real-world mechanical systems

N McGuire - Tribology & Lubrication Technology, 2022 - search.proquest.com
Tribology researchers begin using artificial intelligence (AI) for various reasons, depending
on the type of problem they are trying to solve. For some, AI provides a way to supplement …

Intelligent system for prediction of mechanical properties of material based on metallographic images

M Paulic, D Mocnik, M Ficko, J Balic, T Irgolic… - Tehnički …, 2015 - hrcak.srce.hr
intelligent system for prediction of mechanical properties of … the mechanical properties
prediction for the metallurgical products from the engineering steels using the Artificial Intelligence