[HTML][HTML] Machine learning for predicting fatigue properties of additively manufactured materials

YI Min, XUE Ming, C Peihong, S Yang, H Zhang… - Chinese Journal of …, 2024 - Elsevier
Fatigue properties of materials by Additive Manufacturing (AM) depend on many factors
such as AM processing parameter, microstructure, residual stress, surface roughness …

Luminescence‐Based Infrared Thermal Sensors: Comprehensive Insights

S Fahad, S Li, Y Zhai, C Zhao, Z Pikramenou, M Wang - Small, 2024 - Wiley Online Library
Recent chronological breakthroughs in materials innovation, their fabrication, and structural
designs for disparate applications have paved transformational ways to subversively …

Machine learning-based predictive model for tensile and flexural strength of 3D-printed concrete

A Ali, RD Riaz, UJ Malik, SB Abbas, M Usman… - Materials, 2023 - mdpi.com
The additive manufacturing of concrete, also known as 3D-printed concrete, is produced
layer by layer using a 3D printer. The three-dimensional printing of concrete offers several …

Predicting 3D printed plastic part properties: A deep learning approach with thermographic and vibration data fusion

AS Khusheef, M Shahbazi, R Hashemi - Expert Systems with Applications, 2024 - Elsevier
Additive Manufacturing (AM) holds transformative potential for the manufacturing industry,
yet its widespread adoption is hindered by inconsistent product properties. This study …

Machine learning-based fatigue life prediction of functionally graded materials using material extrusion technology

S Alkunte, I Fidan - Journal of Composites Science, 2023 - mdpi.com
In this study, the research investigates the prediction of fatigue life for Functionally Graded
Materials (FGM) specimens comprising Polylactic acid (PLA) and Thermoplastic …

Current trends in organic chemistry: contribution of the ND Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences

MP Egorov, VP Ananikov, EG Baskir… - Russian Chemical …, 2024 - Springer
A key goal of organic chemistry is to develop new principles for the control of reactions,
which can be used to create promising materials demanded in all fields of scientific research …

Analyzing the effects of printing parameters to minimize the dimensional deviation of polylactic acid parts by applying three different decision-making approaches

A Solouki, MRM Aliha, A Makui, N Choupani, H Seiti - Scientific Reports, 2024 - nature.com
This article examines the influence of various factors on the precision of 3D printed objects
produced through Fused Filament Fabrication (FFF) using Polylactic Acid (PLA) as the …

An artificial neural network-based predictive model for tensile behavior estimation under uncertainty for fused deposition modeling

S Obaidat, MF Tamimi, A Mumani… - Rapid Prototyping …, 2024 - emerald.com
Purpose This paper aims to present a predictive model approach to estimate the tensile
behavior of polylactic acid (PLA) under uncertainty using the fused deposition modeling …

Analysis, classification and remediation of defects in material extrusion 3D printing

KS Erokhin, SA Naumov, VP Ananikov - Uspehi himii, 2023 - journals.rcsi.science
Additive manufacturing technologies (or 3D printing) have emerged as potent tools in the
creation of a diverse array of objects, promising a paradigm shift in production …

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident

Y Wang, F Zhang, C Li - Medicine, 2024 - journals.lww.com
Fractures often occur in elderly patients. Osteoporosis caused by massive loss of calcium
ions in the bones of elderly patients can easily lead to femoral fractures after suffering a low …