A5083238013- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Advanced Multi-Objective Optimization Algorithms
- Additive Manufacturing and 3D Printing Technologies
- Titanium Alloys Microstructure and Properties
- Advanced materials and composites
- Evolutionary Algorithms and Applications
- Process Optimization and Integration
- Cellular and Composite Structures
- Reservoir Engineering and Simulation Methods
- Metaheuristic Optimization Algorithms Research
- Bone Tissue Engineering Materials
- Robotic Path Planning Algorithms
- Manufacturing Process and Optimization
- High-Temperature Coating Behaviors
- Advanced Algorithms and Applications
- Welding Techniques and Residual Stresses
- Mobile Agent-Based Network Management
- Laser Material Processing Techniques
Tianjin University of Science and Technology
2023
Tiangong University
2017-2022
Excellent mechanical properties, including residual stress, ductility and strength, are important requirements for bone implants. In order to achieve this effect, titanium samples were manufactured by selective laser melting, the prepared parts subsequently subjected three different heat treatment, which 550 °C, 650 °C 750 2 h, respectively. The results show that as-built sample, relatively short lath-shaped α grains a few needle-shaped α′ present. After became thicker longer, more. As...
Purpose Studies on titanium implants have shown that the mechanical properties of parts are affected by microstructure characteristic derived from manufacturing process. The different orientations specimens under same process parameters will be different, which should considered in application bone implants. This paper aims to understand influence micro-hardness, wear and corrosion resistance orientations. Design/methodology/approach authors manufactured carried out tests electrochemical...
Portfolio management is an important technology for reasonable investment, fund management, optimal asset allocation, and effective investment. optimization problem (POP) has been recognized as NP‐hard involving numerous objectives well constraints. Applications of evolutionary algorithms swarm intelligence optimizers resolving multi‐objective POP (MOPOP) have attracted considerable attention researchers, yet their solutions usually convert MOPOP to by means weighted coefficient method. In...
Two kinds of porous structure design strategies, ring-support (RS) and column-support (CS), are proposed for human implants. The accurate porosity is realized by adjusting the pore characteristics, such as strut diameter, unit size. Porous specimens with 50%, 60%, 70%, 80% were prepared selective laser melting. three-dimensional basically consistent measured slightly lower than value. microstructure, microhardness, friction wear properties samples studied. results show that performance along...
In order to achieve good adaptability, medical bone implants for clinical applications need have porous characteristics. From a biological and mechanical point of view, the design structures requires both suitable porosities facilitate cell ingrowth strength avoid implant damage. To handle multiobjective optimization problems structure design, this work introduced an improved multi-objective algorithm, which is called multi-swarm evolutionary algorithm based on decomposition (MSMOEA/D), main...
The indicator-based multi-objective optimization evolutionary algorithm has gained significant attention for its strong performance across various problems. We draw on the advantages and try to make improvements in environmental selection process based different criteria. From this, we developed a distinctive that indicator performing local searches, namely INLS. INLS includes novel mechanism does not rely weight vectors, which employs strategy choosing solutions with relatively poor...