Article
Materials Science, Multidisciplinary
Jinguo Ge, Xingchen Yan, Yongping Lei, Mansur Ahmed, Peter O'Reilly, Chao Zhang, Rocco Lupoi, Shuo Yin
Summary: This paper investigates the fabrication and properties of Ti6Al4V octahedron lattice structures. The study reveals that vacuum annealing can improve the compressive properties of the samples and enhance their strength. Additionally, the microstructural analysis shows that vacuum annealing leads to the transformation of martensites and the formation of nano-particle precipitation and dislocation.
MATERIALS & DESIGN
(2021)
Article
Materials Science, Multidisciplinary
Jun Song, Qian Tang, Qixiang Feng, Shuai Ma, Fuyu Guo, Quanquan Han
Summary: This study proposed a modeling approach to decrease the number of design variables in VD design, which was able to improve the performance of lightweight design based on the research on VD lattice structures manufactured using SLM.
MATERIALS & DESIGN
(2021)
Article
Materials Science, Multidisciplinary
Meng He, Yan Li, Jie Yin, Qinglei Sun, Wei Xiong, Simeng Li, Lei Yang, Liang Hao
Summary: High precision lattice structures have great potential applications, and this study successfully designed and manufactured a unique heterogeneous glass sponge lattice structure with strong compressive properties and a unique fracture mechanism, which is expected to be widely used in various fields.
MATERIALS & DESIGN
(2022)
Article
Nanoscience & Nanotechnology
Yangli Xu, Guoqin Huang, Tingting Li, Yuanqiang Tan, Tao Bao
Summary: In this study, lattice structures with different relative densities were designed using topology optimization method and fabricated using selective laser melting technology. The designed lattice structures exhibited comparable mechanical properties with natural bone and the mechanical properties could be tailored according to the specific requirements.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Engineering, Biomedical
Sydney Hitchon, William Anderson, Jaques S. Milner, Gregory Hong, Todor Ivanov, Ryan Willing, David Holdsworth
Summary: This study compared the mechanical behaviors of titanium cylindrical gyroid structures with different porosities. Both experimental and simulation results showed consistent relationships between porosity and apparent modulus of elasticity. Calibration of the fatigue strength coefficient improved the prediction accuracy of fatigue life, but discrepancies between prediction and experiment remained, which could be attributed to difficulties in defining failure and minor differences in porosities.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Thermodynamics
Z. Kazemi, M. Soleimani, H. Rokhgireh, A. Nayebi
Summary: In this study, the selective laser melting method (SLM) was simulated by finite element method (FEM) to manufacture a sample of 316 stainless steel. The temperature variation as a function of time and coordinates was obtained, along with the determination of the melting pool and the creation of keyholes at the end of each track. The obtained temperature distribution will be used to characterize the mechanical properties of the manufactured sample.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Chemistry, Physical
Rashwan Alkentar, File Mate, Tamas Mankovits
Summary: The development of medical implants is a key focus in the biomedical field. This study investigated the effects of different lattice structures on implants and aimed to find the best unit cell design similar to human bone. Comparisons were made between laboratory tests and numerical simulations, which showed some deviation between the two.
Article
Nanoscience & Nanotechnology
Kai Peng, Gaoshen Cai, Biao Hu, Xina Huang
Summary: This study investigated the effect of pillar size on the mechanical properties of Ti6Al4V lattice fabricated by selective laser melting (SLM). It was found that with increasing pillar size, the difference between actual and designed porosity of the lattice structure first increased and then decreased. Additionally, larger pillar size led to improved plasticity, enabling the lattice structure to withstand higher cyclic loads and exhibit better fatigue performance.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Nanoscience & Nanotechnology
Xin Yang, Wenjun Ma, Zhaoyang Zhang, Shifeng Liu, Huiping Tang
Summary: This article utilizes selective laser melting (SLM) to manufacture Ti6Al4V lattice structures with different aspect ratios, and investigates their performance. The results show that the additively manufactured Ti6Al4V lattice material has an ultra-high specific strength, mainly due to high density dislocations and structural optimization.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Nanoscience & Nanotechnology
J. Karimi, C. Suryanarayana, I Okulov, K. G. Prashanth
Summary: This study investigated the effect of remelting on the microstructure and mechanical properties of Ti6Al4V materials fabricated using selective laser melting. The results showed that the number of remeltings significantly influenced the homogenization of the microstructure and mechanical properties of the materials, with an increase in hardness and ultimate tensile strength but a decrease in ductility observed with a higher number of melting steps.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Automation & Control Systems
Reza Saremian, Mohsen Badrossamay, Ehsan Foroozmehr, Mahmoud Kadkhodaei, Foroozan Forooghi
Summary: This paper investigates the mechanical properties of three lattice structures under quasi-static and dynamic loadings. Experimental and numerical results show that the Rhombic dodecahedron lattice structure has advantages in impact resistance, while the truncated cuboctahedron lattice structure performs better under dynamic loading.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Yun Zhai, Sibo He, Lei Lei, Tianmin Guan
Summary: The research focuses on adjusting lattice structures to match the mechanical properties of human bone, with selective laser melting technology used to fabricate octahedral lattice with optimal mechanical properties. This achieves an equivalent elastic modulus close to that of human bone.
REVIEWS ON ADVANCED MATERIALS SCIENCE
(2021)
Article
Chemistry, Physical
Lei Zhu, Xiaoyang Wang, Liao Sun, Quandong Hu, Nan Li
Summary: This paper presents a new framework for lightweight optimization of functionally graded lattice structures (FGLSs) with a particular focus on enhancing structural safety through three main contributions. The framework includes a design strategy of adding fillets to the lattice joints, characterization of effective properties of lattice metamaterials, and a yield stress constraint for optimization. Two case studies showed that the optimized FGLSs with filleted joints achieved significant weight reduction while maintaining structural safety.
Article
Materials Science, Ceramics
Zhanyong Zhao, Shaowei Wang, Wenbo Du, Peikang Bai, Zhen Zhang, Liqing Wang, Jie Wang, Di Tie
Summary: In-situ nanoscale TiC particles reinforced Ti6Al4V composites were prepared by selective laser melting, with a focus on the microstructure and interface bonding. TiC effectively pinned dislocations, refined grains, and increased the hardness of the alloy, resulting in enhanced mechanical properties of the composites.
CERAMICS INTERNATIONAL
(2021)
Article
Materials Science, Multidisciplinary
Ruochen Ding, Jun Yao, Baorui Du, Kailun Li, Maohua Pan, Lu Zhao, Yumeng Guo
Summary: Lattice structure, with characteristics of low density, high specific strength, and high specific stiffness, is suitable for applications in secondary load-bearing components. Research shows that ARCH lattice structure exhibits better flexural properties under Y loading direction, and the relative density has a significant influence on its flexural properties. The Gibson-Ashby equation is established to estimate the flexural properties of lattice structures with different relative densities, providing a theoretical basis and reference for engineering applications.
ADVANCED ENGINEERING MATERIALS
(2021)
Article
Automation & Control Systems
Zongmin Liu, Qian Tang, Ning Liu, Jun Song
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Green & Sustainable Science & Technology
K. N. Shi, J. X. Ren, S. B. Wang, N. Liu, Z. M. Liu, D. H. Zhang, W. F. Lu
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Automation & Control Systems
Zongmin Liu, Qian Tang, Y. F. Zhang, Ning Liu
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Chemistry, Multidisciplinary
Zongmin Liu, Qian Tang, Ning Liu, Pinghua Liang, Wei Liu
APPLIED SCIENCES-BASEL
(2019)
Article
Automation & Control Systems
Zongmin Liu, Jirui Wang, Qian Tang, Ning Liu, Bin Xing
Summary: A novel installation parameter optimization design method for screw rotor forming tool is proposed in this study. Experimental results show that the proposed method can significantly reduce the cost of precision grinding for screw rotor without compromising machining quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Pengda Liu, Zongmin Liu, Wengang Ao, Zhongyang Ming, Peng Shi
Summary: This paper explores the solution for the zero-sum games (ZSGs) of nonlinear stochastic systems under the architecture of dynamic event-triggered mechanism (DETM). It proposes an adaptive dynamic programming (ADP) approach to find the saddle-point equilibrium solution of ZSGs with great approximate computing power. The ADP method is employed based on the Hamilton-Jacobi-Isaacs equation of stochastic version and the dynamic triggering mechanism. The stability of the system is demonstrated using the Lyapunov theory and two representative examples are provided to showcase the effectiveness and reliability of this approach.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Robotics
Zongmin Liu, Jirui Wang, Jie Li, Pengda Liu, Kai Ren
Summary: With the global population aging rapidly, service robots for indoor elderly care will play a crucial role in the future. Detecting multiple targets in complex indoor scenes poses great challenges due to various interference factors. In this study, an improved Mask RCNN method is proposed to address this issue, which integrates Convolutional Block Attention Module (CBAM) and comprehensively considers different backgrounds, distances, angles, and interference factors. Experiments demonstrate that the designed model improves accuracy and has better anti-interference ability while maintaining similar detection speed. This research will advance the application of intelligent service robots in perception and target grasp.
INTELLIGENT SERVICE ROBOTICS
(2023)