A5101611505- Aluminum Alloys Composites Properties
- Aluminum Alloy Microstructure Properties
- Magnesium Alloys: Properties and Applications
- Additive Manufacturing Materials and Processes
- Advanced Multi-Objective Optimization Algorithms
- Microstructure and mechanical properties
- Additive Manufacturing and 3D Printing Technologies
- Probabilistic and Robust Engineering Design
- Metal Alloys Wear and Properties
- Optimal Experimental Design Methods
- IoT Networks and Protocols
- Bauxite Residue and Utilization
- biodegradable polymer synthesis and properties
- Metal and Thin Film Mechanics
- Gaussian Processes and Bayesian Inference
- Microstructure and Mechanical Properties of Steels
- Telecommunications and Broadcasting Technologies
- Wireless Body Area Networks
- Advanced Welding Techniques Analysis
- Bone Tissue Engineering Materials
- High Entropy Alloys Studies
Deakin University
2018-2024
Gyroid polylactic acid (PLA) scaffolds with different unit cell sizes of 2 mm (G2), 2.5 (G25), and 3 (G3) were fabricated via fused deposition modeling for bone tissue engineering applications. The porosity the PLA ranged from 86% to 90%. structural anisotropy value was 3.80, 2.00, 1.04 G2, G25, G3, respectively. Compressive test results indicated that both dense porous showed elastic-plastic deformation behavior in building transverse directions. compressive elastic modulus yield strength...
Abstract We propose the strain-induced solid-state coating process of twinning-induced plasticity (TWIP) steel with zinc, achieved through concurrent rolling TWIP and zinc sheets. Our study explores effects strain, strain rate, temperature on morphology intermixing at Zn-TWIP interface. found that two simultaneous mechanisms are responsible for formation a joint interface between sheets in range 100–380 °C, namely mechanical accelerated diffusion along moving dislocations other defects...
Rate split multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond, especially in vehicular scenarios. However, RSMA requires complicated iterative algorithms proper resource allocation, which cannot fulfill the stringent latency requirement constrained vehicles. Although data driven approaches can alleviate this issue, they suffer from poor generalizability scarce training data. In paper, we propose a fractional programming (FP) based deep unfolding...
The paper presents a novel approach to direct covariance function learning for Bayesian optimisation, with particular emphasis on experimental design problems where an existing corpus of condensed knowledge is present. method presented borrows techniques from reproducing kernel Banach space theory (specifically m-kernels) and leverages them convert (or re-weight) functions into new, problem-specific functions. key advantage this that rather than relying the user manually select (with some...