A5049992822- Additive Manufacturing and 3D Printing Technologies
- Additive Manufacturing Materials and Processes
- Cellular and Composite Structures
- Bone Tissue Engineering Materials
- Welding Techniques and Residual Stresses
- Advanced Materials and Mechanics
- Data Mining Algorithms and Applications
- High Entropy Alloys Studies
- Algorithms and Data Compression
- Advanced materials and composites
- Shape Memory Alloy Transformations
- Data Management and Algorithms
- Innovations in Concrete and Construction Materials
- Intermetallics and Advanced Alloy Properties
- Metal and Thin Film Mechanics
- Material Properties and Failure Mechanisms
- Conservation Techniques and Studies
- Acoustic Wave Phenomena Research
- Aluminum Alloys Composites Properties
- Innovative concrete reinforcement materials
- Concrete Corrosion and Durability
- Manufacturing Process and Optimization
- Mechanical Behavior of Composites
- Technology and Security Systems
- Aluminum Alloy Microstructure Properties
Chongqing University of Technology
2022-2024
Army Medical University
2024
Southwest Hospital
2024
Chongqing University
2017-2023
Cardiff University
2021-2022
Wuhan University of Technology
2021
Kunming University of Science and Technology
2015
Henan University of Science and Technology
2014
Peking University
2004
Selective laser melting is a promising additive manufacturing technology for porous metallic bone scaffolds. Bone repair requires scaffolds that meet various mechanical and biological requirements. This paper addresses this challenge by comprehensively studying the performance of The main novelty exploring with different porosities, verifying aspects their revealing effect permeability on cell growth. study evaluates manufacturability, behaviour, biocompatibility gyroid In simulations,...
Selective laser melting (SLM)-produced variable-density (VD) lattice structures are deemed a promising solution to lightweight design. However, due the large number of cells in structures, designing VD is still time-consuming and exhibits poor adaptability external load. Therefore, order decrease design variables design, this paper proposed modelling approach for manufactured using SLM. The stress values provided by finite element analysis (FEA) were grouped according k-means clustering,...
Laser powder bed fusion (L-PBF)-built triply periodic minimal surface (TPMS) structures are designed by implicit functions and endowed with superior characteristics, such as adjustable mechanical properties light-weight features for bone repairing; thus, they considered potential candidates scaffolds. Unfortunately, previous studies have mainly focused on different TPMS structures. The fundamental understanding of the differences between strut sheet-based remains exclusive, where both were...
Abstract Lattice structures (LS) manufactured by 3D printing are widely applied in many areas, such as aerospace and tissue engineering, due to their lightweight adjustable mechanical properties. It is necessary reduce costs predicting the properties of LS at design stage since exorbitant present. However, quickly accurately poses a challenge. To address this problem, study proposes novel method that different materials predict through machine learning. First, voxelized models units then...
Additive manufacturing (AM) has been envisioned as a critical technology for the next industrial revolution. Due to advances in data sensing and collection technologies, large amount of data, generated from multiple sources AM production, becomes available relevant analytics improve process reliability, repeatability, part quality. However, processes occur over wide range spatial temporal scales where generally involves different types, dimensions structures, leading difficulties when...
It is more intuitive and clear to analyze judge the pipeline accident with completely inversion prediction. This paper studies accidents analysis methods for oil gas SCADA system. First, we save log data real-time section in database creating event scenes. Then, use realtime section, timeline playback data. We also an method based on Apriori °ree;C a association rules mining algorithm specified features, make preliminary diagnosis alarms, accidents, equipment breakdowns, etc. In industry...