Recent advances and applications of machine learning in experimental solid mechanics: A review

H Jin, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

[HTML][HTML] Additive manufacturing of Ni-based superalloys: Residual stress, mechanisms of crack formation and strategies for crack inhibition

C Guo, G Li, S Li, X Hu, H Lu, X Li, Z Xu, Y Chen… - Nano Materials …, 2023 - Elsevier
The additive manufacturing (AM) of Ni-based superalloys has attracted extensive interest
from both academia and industry due to its unique capabilities to fabricate complex and high …

Perspective: Machine learning in experimental solid mechanics

NR Brodnik, C Muir, N Tulshibagwale, J Rossin… - Journal of the …, 2023 - Elsevier
Experimental solid mechanics is at a pivotal point where machine learning (ML) approaches
are rapidly proliferating into the discovery process due to significant advances in data …

[HTML][HTML] Critical Review of LPBF Metal Print Defects Detection: Roles of Selective Sensing Technology

D Guillen, S Wahlquist, A Ali - Applied Sciences, 2024 - mdpi.com
The integrative potential of LPBF-printed parts for various innovative applications depends
upon the robustness and infallibility of the part quality. Eliminating or sufficiently reducing …

Inverse stochastic microstructure design

AP Generale, AE Robertson, C Kelly, SR Kalidindi - Acta Materialia, 2024 - Elsevier
Abstract Inverse Microstructure Design problems are ubiquitous in materials science; for
example, property-driven microstructure design requires the inversion of a structure …

On the potential of Resonant Ultrasound Spectroscopy applied to the non-destructive characterization of the density of (LPBF) additively manufactured materials

F Le Bourdais, JS Rathore, C Ly, M Pellat… - Additive …, 2022 - Elsevier
The objective of the present work is to investigate the potential of Resonant Ultrasound
Spectroscopy (RUS) as an innovative technique for the nondestructive analysis of Laser …

Crystallographic texture and group representations

CS Man - Journal of Elasticity, 2022 - Springer
This exposition consists of three parts. Part I is an introduction to classical texture analysis.
The harmonic method and the approach initiated by Roe, where the orientation distribution …

Single crystal elastic constants of additively manufactured components determined by resonant ultrasound spectroscopy

J Rossin, P Leser, K Pusch, C Frey, SC Vogel… - Materials …, 2022 - Elsevier
Abstract Bayesian inference with Sequential Monte Carlo was used to determine the single
crystal elastic constants of additively manufactured (AM) cobalt‑nickel-based superalloy …

Tensorial Fourier expansion of orientation distribution function defined on the orthogonal group O (3)

W Du, CS Man - … Transactions of the Royal Society A, 2023 - royalsocietypublishing.org
Recently, Man and Du, in the context of classical texture analysis where the orientation
distribution function (ODF) is defined on the rotation group SO (3), presented a systematic …

Decoupling build orientation-induced geometric and texture effects on the mechanical response of additively manufactured IN625 thin-walled elements

A Banerjee, J Rossin, MR He, WD Musinski… - Materials Science and …, 2023 - Elsevier
When additively manufactured (AM) metallic components have highly anisotropic
microstructures, the relationship between microstructure and mechanical properties …