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SSRN 2023年

作者： Wang, Chao Lu, Yan Guo, Wenting Key Laboratory of Metallurgical Equipment and Control Technology Wuhan University of Science and Technology Wuhan430081 China Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China

The research of surface nanobubbles is in the ascendant, and the surface morphology affects the cause of its distribution pattern has become a technical bottleneck in the application of nanobubbles for drag reduction. In this study, the effect of surface morphology on the distribution pattern and density of nanobubbles is revealed through a combination of atomic force under-liquid experiments and molecular dynamics simulations. The initial distribution pattern and density of nanobubbles in the low and high step area were first comparatively analyzed by applying AFM studies on the HOPG surface. The evolution of the volume and distribution pattern of the nanobubbles on the low and high step area was observed after 24 hours of in situ testing. The wetting state of HOPG surface and the nucleation and growth of nanobubbles at one step and four steps were simulated by molecular dynamics simulation, which revealed the reasons for the distribution pattern and density of nanobubbles in the area where the low step is larger than the high step in the experiment. The simulation explains that the surface energy leads to a greater hydrophobicity in the low step than in the high step area, while the higher hydrophobicity of the surface plays a more positive role in the distribution pattern and density of the nanobubbles and in the transformation of the nanogas layer and cake-shaped nanobubbles into cap-shaped nanobubbles. © 2023, The Authors. All rights reserved.

关键词： Interfacial energy

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Oxygen vacancy boosting Fenton reaction in bone scaffold towards fighting bacterial infection

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International Journal of Extreme manufacturing 2024年第1期6卷 296-311页

作者： Cijun Shuai Xiaoxin Shi Feng Yang Haifeng Tian Pei Feng State Key Laboratory of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical EngineeringCentral South UniversityChangsha 410083People’s Republic of China Institute of Additive Manufacturing Jiangxi University of Science and TechnologyNanchang 330013People’s Republic of China College of Mechanical Engineering Xinjiang UniversityUrumqi 830017People’s Republic of China

Bacterial infection is a major issue after artificial bone transplantation due to the absence of antibacterial function of bone scaffold,which seriously causes the transplant failure and even amputation in severe *** this study,oxygen vacancy(OV)defects Fe-doped Ti O2(OV-FeTiO2)nanoparticles were synthesized by nano TiO2and Fe3O4via high-energy ball milling,which was then incorporated into polycaprolactone/polyglycolic acid(PCLGA)biodegradable polymer matrix to construct composite bone scaffold with good antibacterial activities by selective laser *** results indicated that OV defects were introduced into the core/shell-structured OV-FeTiO2nanoparticles through multiple welding and breaking during the high-energy ball milling,which facilitated the adsorption of hydrogen peroxide(H2O2)in the bacterial infection microenvironment at the bone transplant *** accumulated H2O2could amplify the Fenton reaction efficiency to induce more hydroxyl radicals(·OH),thereby resulting in more bacterial deaths through·OH-mediated oxidative *** antibacterial strategy had more effective broad-spectrum antibacterial properties against Gram-negative Escherichia coli(***)and Gram-positive Staphylococcus aureus(***).In addition,the PCLGA/OV-FeTiO2scaffold possessed mechanical properties that match those of human cancellous bone and good biocompatibility including cell attachment,proliferation and osteogenic differentiation.

关键词： bacterial infection bone scaffold selective laser sintering Fenton reaction antibacterial properties

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Research strategy of cleaning airfield navaid lights based on mounted mobile robot group 2

Research strategy of cleaning airfield navaid lights based o...

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2022 2nd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2022

作者： Zhiwen, Zhang Xiaohong, Ge Qiuhua, Zhu Fuheng, Lv Jinhuo, Wang Key Laboratory of Functional Materials and Application of Fujian Province Xiamen University of Technology Xiamen361024 China Xiamen Engineering and Technology Research Center of High Efficiency and Precision Intelligent Manufacturing School of Materials Science and Engineering Xiamen University of Technology Xiamen361024 China

Based on the landing environment of airport aircraft and the cleaning requirements of a large number of navigation aids, this paper proposes a scheme of intelligent cleaning of navigation aids with mobile robots on the delivery vehicle. The cleaning efficiency of the robot can be effectively improved by optimizing the navigation mode and the moving path of the robot using the feature point navigation according to the layout of the navigation aids. Full automation of navigation light cleaning has been achieved, which saves a lot of manpower and resources for cleaning airports. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Mobile robots

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Sustainable multiphase jet polishing of additively manufactured heat pipes utilizing recycled glass chips

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Journal of manufacturing Processes 2025年 133卷 754-768页

作者： Feng, Junyuan Zhang, Zhenyu Zhou, Hongxiu Fan, Cheng Zhao, Feng Gu, Yang Meng, Fanning Shi, Chunjing Yu, Shiqiang School of Mechanical Engineering Hangzhou Dianzi University Hangzhou 310018 China State Key Laboratory of High-performance Precision Manufacturing Dalian University of Technology Dalian 116024 China School of Energy and Power Engineering Dalian University of Technology Dalian 116024 China School of Future Science and Engineering Soochow University Suzhou 215222 China Department of Security Hainan University Haikou 570228 China Yun Academy of Macroeconomic Research (Yunnan Academy of Industrial Research) Kunming 650051 China

Each year, a huge amount of waste glass chips is produced by machining, which is not recycled and has been treated as waste, resulting in the wasting of resources. However, the pristine physical properties of these micro-sized chips show great potential to be recycled as abrasives in jet polishing. In this work, machined glass chips were recycled and directly used as the abrasives in multiphase jet (MPJ) and abrasive water jet (AWJ) polishing for aluminum heat pipes of additive manufacturing with complex structures. Polishing performance of the recycled abrasives from waste glass was compared with those of commercial quartz abrasives with mesh sizes of 600, 800, 1000, 1200, and 3000. The results show that the recycled abrasives of glass chips have comparable performance to the commercial abrasives with mesh size of 1000. Computational fluid dynamic simulations were conducted on the two jet polishing to elucidate the fundamental material removal mechanisms. It is found that a higher drag force in the AWJ polishing could lead to uniform material removal and induce four times higher for material removal rate (MRR). The cost of setup, water and energy consumptions of MPJ polishing are only one tenth those of AWJ polishing. Energy dispersive spectroscopy reveals that there is no element contamination on the polished surface. This work proposes a novel approach of MPJ polishing for components produced by additive manufacturing with complicated structures. These findings provide new insights for the recycling use of waste chips generated in manufacturing, and suggest new solutions for saving energy and resources, as well as for clean and green production. © 2024 The Society of manufacturing Engineers

关键词： Additive manufacturing Glass chips Multiphase jet polishing Recycled abrasives Waste recycling

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Numerical Modelling of Claw Vacuum Pump Performance Based on Cut Cell Cartesian Method

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SSRN 2023年

作者： Li, Chengpeng Yan, Di Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan430081 China Precision Manufacturing Institute Wuhan University of Science and Technology Wuhan430081 China Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan430081 China

Vacuum pump is widely used in aviation, chemical, semiconductor and other fields because of its superior performance. However, in 3-D numerical modelling of transient flow field in hook and claw-type vacuum pump with cusps in the rotor profile, the grid generation is always a challenge. The body-fitted mesh method is difficult to generate effective dynamic grid for such kind of fluid domain. In order to solve these problems, the cut cell Cartesian grid method is proposed. Firstly, the mathematical basis of the cut cell Cartesian mesh method was introduced in detail, in which the immersed boundary method (IBM) was combined with the generation process of adaptive Cartesian volume mesh. The profile design method of hook and claw-type vacuum pump was derived, and the geometric model of the calculation domain was established. The transient flow field characteristics of the vacuum pump with different inter-lobe clearance size were analyzed, and the velocity, pressure, vortex and temperature characteristics inside the vacuum pump were obtained. The feasibility and accuracy of the method were verified by a study case of a two-stroke reciprocating piston pump. The research provides a good reference for dynamic grid generation and precise numerical simulation of hook and claw-type vacuum pump. © 2023, The Authors. All rights reserved.

关键词： Flow fields

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A novel back propagation neural network optimized by rough set and particle swarm algorithm for remanufacturing service provider classification and selection 2

A novel back propagation neural network optimized by rough s...

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2021 2nd International Conference on Applied Physics and Computing, ICAPC 2021

作者： Cao, Jianhua Xia, Xuhui Wang, Lei Liu, Xiang Zhang, Zelin Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan China Precision Manufacturing Institute Wuhan University of Science and Technology Wuhan China

Aiming at the problem that the high classification feature dimensionality of the back propagation neural network (BPNN) leads to slow convergence speed and the initial weight and threshold sensitivity of the BPNN lead to the problem of easy convergence to the local optimum. A novel BPNN optimized by rough set and particle swarm algorithm (RS-PSO-BPNN) for remanufacturing service provider classification and selection is proposed. First, the attribute reduction method of rough set theory is used to preprocess the classification features of remanufacturing service providers, redundant attributes are deleted from the decision table, and the input feature dimension is reduced;then the PSO algorithm is used to optimize the network Initial weight and threshold. Finally, the proposed method is used for the selection and optimization of remanufacturing service providers. The results show that the proposed RS-PSO-BPNN has higher classification accuracy and efficiency for the problem, which provides scientific decision supports for remanufacturing service provider selection. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Rough set theory

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Thread Features Surface Morphology of C/SiC Composites by Laser-Ultrasonic Hybrid Machining

Thread Features Surface Morphology of C/SiC Composites by La...

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International Conference on Manipulation, manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Haoran Xu Jinkai Xu Jiaqi Wang Jicheng Li Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing Changchun China National and Local Joint Engineering Laboratory for Precision Manufacturing and Detection Technology Changchun China College of Mechanical and Electrical Engineering Changchun University of Science and Technology Changchun China

ISBN: (数字)9798350362107

ISBN: (纸本)9798350362114

Carbon fiber reinforced silicon carbide (C/SiC) composites belong to the category of ceramic matrix composites, presenting the anisotropy and inhomogeneity of the material, and is a highly hard and brittle material, resulting in the machining of the thread characteristics of the tooth tip is missing, the poor quality of the surface and other problems. The quality of ceramic matrix composites is significantly improved through the use of laser-ultrasonic hybrid machining (L-UHM) which has been a hot topic in recent years. Focusing on the impact of L-UHM on the surface morphology of C/SiC composite thread features after machining with different parameters. The impact of process methods on the surface topography of C/SiC composite threaded features after machining were investigated by conducting conventional machining (CM), laser-assisted machining (LAM), and L-UHM tests. The results showed that in both the parallel and vertical fiber directions of the tooth top, the matrix breakage was significantly reduced which improved structural integrity compared with CM and LAM.

关键词： Silicon carbide Simulation Surface morphology Morphology Machining Surface topography Ceramics Surface cracks Vertical cavity surface emitting lasers Surface treatment

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Material Removal Rate Optimization with Bayesian Optimized Differential Evolution Based on Deep Learning in Robotic Polishing

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SSRN 2024年

作者： Wang, Ruoxin Cheung, Chi Fai Zang, Yikai Wang, Chunjin Liu, Changlin State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science & Engineering Huazhong University of Science and Technology Wuhan China

Large aperture aspheric optical surfaces (LAAOS) have been applied in many industries, but their high requirements for precision and efficiency make manufacturing more challenging. Robotic polishing is a representative computer-controlled optical surfacing technique to manufacture LAAOS with low-cost and high-efficiency. However, how to achieve the highest material removal rate (MRR) involves many process parameters. It is difficult to determine the optimal parameter settings since the complex relationships among them. In this paper, a novel Bayesian optimized differential evolution based on deep learning method is proposed to optimize the MRR, in which the designed deep neural network is responsible for MRR modeling and Bayesian optimized differential evolution is used for MRR optimization. Bayesian optimization is used to find the best hyperparameter of differential evolution method so as to improve optimization performance. To evaluate the proposed method, a series of robotic polishing experiments are conducted to build the MRR model. The optimization performance comparison experiments show the superiority of our proposed method, which increases MRR by an average of 0.16. © 2024, The Authors. All rights reserved.

关键词： Optimization

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Delaunay Triangulation Voxelization for Print Orientation-Based Topology Optimization in Additive manufacturing 23rd

Delaunay Triangulation Voxelization for Print Orientation-Ba...

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23rd IFToMM China International Conference on Mechanism and Machine science and Engineering, IFToMM CCMMS 2022

作者： Xu, Qingfeng Nie, Zhenguo Li, Yaguan Lin, Hongbin Xu, Handing Xie, Fugui Liu, Xin-Jun Ths State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing100084 China Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipments and Control Tsinghua University Beijing100084 China College of Mechanical and Vehicle Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China School of Mathematics and Information Science Guangzhou University Guangzhou510006 China

ISBN: (纸本)9789811993978

For topology optimization in additive manufacturing, the support structures have a significant impact on production cost and can be minimized by choosing the optimal print orientation, where model voxelization plays an important role on the computing accuracy and efficiency. To overcome the inherent insufficiency of the cube voxelization, we propose a new voxelization modeling method based on the Delaunay Triangulation to match arbitrary shapes with fewer voxels at arbitrary angle, and speed up the computing efficiency by the gradient descent method for the optimal voxelization. Our method can be widely used in the future for accurate modeling and result optimization in the case of solving the optimal orientation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 3D printing

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In vivo whole brain photoacoustic microscopy through a transparent ultrasound transducer

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Chinese Optics Letters 2025年第2期 43-48页

作者：梁晨吴俊伟彭航兵邓丽军林奕钦程中文曾吕明纪轩荣 Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices Jiangxi Science and Technology Normal University State Key Laboratory of Precision Electronics Manufacturing Technology and Equipment Guangdong University of Technology

Brain imaging techniques provide in vivo insight into structural and functional phenotypes that are physiologically and clinically relevant. However, most existing brain imaging techniques suffer from balancing trade-offs among the temporal and spatial resolutions as well as the field of view(FOV). Here, we proposed a high-resolution photoacoustic microscopy(PAM) system based on a transparent ultrasound transducer(TUT). The system not only retains the advantage of the fast imaging speed of pure optical scanning but also has an imaging FOV of up to 20 mm × 20 mm, which can easily enable rapid imaging of the whole mouse brain in vivo. Based on experimental validation of brain injury, glioma, and cerebral hemorrhage in mice, the system has the capability to visualize the vascular structure and hemodynamic changes in the cerebral ***-based PAM provides an important research tool for rapid multi-parametric brain imaging in small animals, providing a solid foundation for the study of brain diseases.

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