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

JF Durodola - Progress in Materials Science, 2022 - Elsevier
Abstract Machine learning is now applied in virtually every sphere of life for data analysis
and interpretation. The main strengths of the method lie in the relative ease of the …

Effect of heat treatments on 316 stainless steel parts fabricated by wire and arc additive manufacturing: Microstructure and synchrotron X-ray diffraction analysis

TA Rodrigues, JD Escobar, J Shen, VR Duarte… - Additive …, 2021 - Elsevier
Different geometrical features and intricate parts can now be fabricated by wire and arc
additive manufacturing (WAAM). Even though a broad range of applications rises with this …

Progressing towards sustainable machining of steels: a detailed review

K Ishfaq, I Anjum, CI Pruncu, M Amjad, MS Kumar… - Materials, 2021 - mdpi.com
Machining operations are very common for the production of auto parts, ie, connecting rods,
crankshafts, etc. In machining, the use of cutting oil is very necessary, but it leads to higher …

Twinning induced plasticity in austenitic stainless steel 316L made by additive manufacturing

MS Pham, B Dovgyy, PA Hooper - Materials Science and Engineering: A, 2017 - Elsevier
Additively manufactured (AM) 316L steel exhibits extraordinary high yield strength, and
surprisingly good ductility despite the high level of porosity in the material. This detailed …

[HTML][HTML] Comparison of the porosity and mechanical performance of 316L stainless steel manufactured on different laser powder bed fusion metal additive …

MA Obeidi, SMU Mhurchadha, R Raghavendra… - Journal of Materials …, 2021 - Elsevier
Despite the recent progress in additive manufacturing (AM) process and technology,
challenges in the repeatability and reproducibility of AM parts still hinders the adoption of …

A neural network model for high entropy alloy design

J Wang, H Kwon, HS Kim, BJ Lee - npj Computational Materials, 2023 - nature.com
A neural network model is developed to search vast compositional space of high entropy
alloys (HEAs). The model predicts the mechanical properties of HEAs better than several …

Revealing mechanisms of residual stress development in additive manufacturing via digital image correlation

JL Bartlett, BP Croom, J Burdick, D Henkel, X Li - Additive Manufacturing, 2018 - Elsevier
The severe thermal gradients associated with selective laser melting (SLM) additive
manufacturing (AM) generate large residual stresses (RS) that geometrically distort and …

Investigation of chemical short range order strengthening in a model Fe–12Ni–18Cr (at.%) stainless steel alloy: A modeling and experimental study

K Chu, E Antillon, C Stewart, K Knipling, P Callahan… - Acta Materialia, 2023 - Elsevier
Solid solution strengthening remains the basis for many industrial alloys, yet chemical short-
range order (CSRO) can also play a significant role in the strengthening of alloys with …

Mechanical and corrosion properties of brass exposed to waste sunflower oil biodiesel-diesel fuel blends

OD Samuel, M Gulum - Chemical Engineering Communications, 2019 - Taylor & Francis
Biodiesel has recently received increasing attention because of many advantages such as
higher cetane number and flash point compared to diesel fuel. However, corrosion of engine …

Roles of major alloying elements in steels and alloys on corrosion under biomass hydrothermal liquefaction (HTL) conversion

M Liu, Y Zeng, JL Luo - Corrosion Science, 2023 - Elsevier
Hydrothermal liquefaction (HTL) is a promising thermochemical technology to convert wet
biomass and biowaste streams into bioenergy products. Significant knowledge gaps exist …