A5101493936- Metaheuristic Optimization Algorithms Research
- Magnetic Properties and Applications
- Electric Motor Design and Analysis
- Advanced Computational Techniques and Applications
- Artificial Immune Systems Applications
- Advancements in Solid Oxide Fuel Cells
- Magnetic Properties of Alloys
- High Entropy Alloys Studies
- Robotic Path Planning Algorithms
- Magnetic Bearings and Levitation Dynamics
- Titanium Alloys Microstructure and Properties
- Additive Manufacturing Materials and Processes
- Educational Technology and Assessment
- Advanced Text Analysis Techniques
- Civil and Geotechnical Engineering Research
- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
Beijing Urban Construction Design & Development Group (China)
2025
Anhui Polytechnic University
2024
Shanghai Maritime University
2024
Osaka University
2024
Shanghai Dianji University
2024
University of Oulu
2024
Hebei University of Technology
2017-2023
Shanxi University
2013
China University of Geosciences
2011
In this study, a multi-objective particle swarm optimization (MOIPSO) algorithm is proposed to address complex problems, including real-world engineering challenges. The retains the basic convergence mechanism of (PSO) as its core, while innovatively combining fast non-dominated sorting technique effectively evaluate and approximate Pareto optimal solution set. To enhance diversity generalization set, crowding distance introduced, ensuring good balance between multiple objectives wider...
Backtracking search algorithm (BSA) is a relatively new evolutionary algorithm, which has good optimization performance just like other populationâbased algorithms. However, there also an insufficiency in BSA regarding its convergence speed and precision. For solving the problem shown BSA, this article proposes improved named COBSA. Enlightened by particle swarm (PSO) population control factor added to variation equation aiming improve of so as make have better ability escaping local...
Ti-Mo alloys with variable molybdenum (Mo) contents were fabricated by the laser-directed energy deposition process. The in-depth influencing mechanisms of Mo element on microstructure and performance quantitatively analyzed experiment first-principal calculation. Increasing content decreased formation cohesive energies stabilized đ˝ phase. grain refining efficiency was increased, relative size increasing content. MS temperature decreased, acicular martensite formed Both solid-solution...
Based on the existing soft magnetic composite (SMC) finite element models, three-dimensional(3D) simulation models of SMC single particle and ring sample were established in this paper. In view fact that do not take into account effect harmonics hysteresis loss SMC, based calculation formula Bertotti separation theory, an improved expression coefficient is derived by introducing correction factor coefficient. And it applied to model so can be used calculate core under non-sinusoidal...
Due to the effect of higher harmonics on magnetic properties under actual complex operating conditions, accurate calculation core losses soft composites (SMC) is complicated. First, this paper improves existing SMC model by introducing a correction factor correct hysteresis loss coefficient so that can consider local variation characteristics density waveform and then calculate different harmonic excitation. Then, influence skin inhomogeneous flux within ring sample analyzed. Finally,...