Revealing the formation mechanisms of twinned substructure in low-carbon martensitic steel through multiscale characterization DOI
Jianhui Yan,

Peng Xue,

Wei Li

et al.

Materials Characterization, Journal Year: 2025, Volume and Issue: 224, P. 115029 - 115029

Published: April 11, 2025

Language: Английский

Metaheuristics Algorithm-Based Optimization for High Conductivity and Hardness CuNi2Si1 Alloy DOI Open Access
J. Konieczny, K. Labisz, Satılmış Ürgün

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(5), P. 1060 - 1060

Published: Feb. 27, 2025

The optimization of CuNi2Si1 alloy's mechanical and electrical properties was achieved through a combination experimental approaches metaheuristic algorithms. Optimizing hardness conductivity variation in aging temperature (450-600 °C) duration (1-420 min) taken under consideration the present work. Cold rolling with 50% strain after solution annealing aided microstructure refinement accelerated Ni2Si precipitates' development, property improvement increased. Optimum holding period were 450 °C 30 min, respectively, 266 HV 13 MS/m 167 11.2 for non-deformed samples, respectively. SPBO, genetic algorithm (GA), particle swarm (PSO) algorithms considered, SPBO exhibited best prediction accuracy. predicted 61.75 testing 267 14 MS/m, Polynomial regressions 0.98 0.96 values R2 confirmed these values' According to this work, computational proves effective optimizing development tailoring application industries including aerospace engineering.

Language: Английский

Citations

0

Revealing the formation mechanisms of twinned substructure in low-carbon martensitic steel through multiscale characterization DOI
Jianhui Yan,

Peng Xue,

Wei Li

et al.

Materials Characterization, Journal Year: 2025, Volume and Issue: 224, P. 115029 - 115029

Published: April 11, 2025

Language: Английский

Citations

0