A5014524270- Additive Manufacturing Materials and Processes
- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Additive Manufacturing and 3D Printing Technologies
- Manufacturing Process and Optimization
- Space Satellite Systems and Control
- High Entropy Alloys Studies
- Advanced Machining and Optimization Techniques
- Welding Techniques and Residual Stresses
- Spacecraft Dynamics and Control
- Cellular and Composite Structures
- Robotic Mechanisms and Dynamics
- Advanced Numerical Analysis Techniques
- Astro and Planetary Science
- Topology Optimization in Engineering
- Inertial Sensor and Navigation
- Fatigue and fracture mechanics
- Advanced Materials and Mechanics
- Advanced Antenna and Metasurface Technologies
- Adaptive Control of Nonlinear Systems
- Metamaterials and Metasurfaces Applications
- Spacecraft Design and Technology
- Advanced Measurement and Metrology Techniques
- Advanced Welding Techniques Analysis
- Intermetallics and Advanced Alloy Properties
Nanjing University of Aeronautics and Astronautics
2016-2025
Nanjing University of Science and Technology
2016-2025
Jiangsu University
2016
Nanjing Library
2013
Nanjing University
2004
Bio-inspired functionally graded cellular materials (FGCM) have improved performance in energy absorption compared with a uniform material (UCM). In this work, sheet-based and strut-based gyroid structures densities are designed manufactured by stereo-lithography (SLA). For comparison, also manufactured, the generated different gradients. The mechanical behaviors of these under compressive loads investigated. Furthermore, anisotropy effective elastic modulus unit estimated numerical...
Implementing advanced big data (BD) analytic is significant for successful incorporation of artificial intelligence in manufacturing. With the widespread deployment smart sensors and internet things (IOT) job shop, there an increasing need handling manufacturing BD predictive In this study, we conceive jobs remaining time (JRT) prediction during execution based on deep learning (DL) with production BD. We developed a procedure JRT that includes three parts: raw collection, candidate dataset...
Nature has skillfully and finely optimized porous structures with specific configurations in different regions according to the service requirements of organisms, thus evolving heterogeneous structure multiple functions. In order further improve performance function structure, an optimal design method multi-scale Multi-TPMS lattices geometric continuity is proposed this paper. The geometrical problem complex transition boundary lattice solved, correlation mapping between principal stress...
Ultrasonic impact treatment (UIT) is considered to solve the defects of wire arc additive manufacturing (WAAM) components such as coarse grain size, large residual stress, and poor mechanical properties. In this paper, effects UIT on microstructure properties 2219 aluminum alloy WAAM were systematically studied. The effect size porosity was investigated by metallographic experiments. Electron backscattering diffraction (EBSD) used analyze orientation texture. chemical composition phase...
Molten pool characteristics have a significant effect on printing quality in laser powder bed fusion (PBF), and quantitative predictions of parameters molten dimensions are critical to the intelligent control complex processes PBF. Thus far, bidirectional been challenging due highly nonlinear correlations involved. To address this issue, we integrate an experiment characteristics, mechanistic model, deep learning achieve both forward inverse key during The provides fundamental data, model...