Article
Automation & Control Systems
Zechen Zhang, Menghua Sui, Changhe Li, Zongming Zhou, Bo Liu, Yun Chen, Zafar Said, Sujan Debnath, Shubham Sharma
Summary: By simulating the residual stress of cemented carbide during grinding, it was found that using nanofluid minimum quantity lubrication can achieve the lowest friction coefficient, proving the model's reliability under dry grinding conditions.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Haijun Liu, Tao Yang, Xiaoqing Tian, Shan Chen, Fangfang Dong, Jiang Han
Summary: This paper proposed an iterative method for obtaining the nonuniform residual stress distribution of ground silicon wafers. The method divided the deformation into spherical and out-of-sphere deformations, and obtained the corresponding stress values using different mathematical methods. It was found that the crystal orientation of the silicon wafer had a significant impact on the residual stress distribution. The method could be used to evaluate the grinding process of silicon wafers of different sizes and optimize the process parameters.
MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Pengyue Zhao, Bo Zhao, Jiansheng Pan, Jianwei Wu
Summary: This study investigates the superimpose mechanism of surface generation in the grinding process through molecular dynamics simulations. The results show that the superposition process redistributes the machined surface and subsurface damage layer, reducing the processing temperature and tangential and lateral force components.
MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
(2022)
Article
Engineering, Mechanical
Yun Huang, Yuan Wu, Guijian Xiao, Youdong Zhang, Wenxi Wang
Summary: This study experimentally investigated the influence of abrasive belt wear on the surface residual stress distribution of titanium plate belt grinding. The results showed that the more severe the belt wear, the greater the accumulation of grinding heat and the generation of residual tensile stress.
Article
Chemistry, Physical
Ning Tan, Hao Li, Zhao Ding, Kuixian Wei, Wenhui Ma, Dandan Wu, Shifeng Han
Summary: This study proposes a method of generating hydrogen by reacting silicon slag with water via wet grinding, which can be used in hydrogen production and application fields. It also suggests a scheme for purifying MG-Si by flotation.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Engineering, Mechanical
Kun Zhou, Haohao Ding, Wenjian Wang, Jun Guo, Qiyue Liu
Summary: The study revealed that rail grinding under wet conditions significantly improves surface integrity by avoiding grinding burn, white etching layer, and reducing residual tensile stress by up to 45%, due to a less apparent thermodynamic coupling.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Wei Li, Yi Jiao, Hai-Yang Jiang, Ying-Hui Ren, Ahmed Mohamed Mahmoud Ibrahim
Summary: In this study, the monocrystalline silicon surface is modified by catalytic modification and a theoretical model is proposed to analyze the force conditions during chemical-mechanical micro-grinding. Experimental validations using nanoindentation, XPS, and Raman spectroscopy show the effectiveness of the model. This study provides a theoretical basis for optimizing the process of chemical-mechanical micro-grinding of monocrystalline silicon.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Materials Science, Multidisciplinary
Jiamin Sun, Thomas Nitschke-Pagel, Klaus Dilger
Summary: This study investigates the reasons and mechanisms behind the generation and distribution of welding-induced residual stresses (WIRS) through experiments and numerical simulations. The results show that thermal shrinkage and phase transformation are the main sources of longitudinal residual stresses, while quenching process is another source of transverse residual stresses. It is also found that the distribution of residual stresses varies in shape depending on the transforming property of the materials.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Manufacturing
Pengyue Zhao, Jiansheng Pan, Bo Zhao, Jianwei Wu
Summary: This study used molecular dynamics simulation method to investigate the nano-grinding process of single-crystal silicon workpieces with different surface crystal orientations, and compared the results with experimental results. It was found that while the machined surface quality was similar for workpieces with different surface crystal orientations, subsurface damage, processing force, phase transition, and residual stress varied significantly. Among the three types of workpieces, the single-crystal silicon workpiece with {110} surface crystal orientation showed the best processing effect.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Multidisciplinary
Wei Li, Zhipeng Li, Jun Yang, Yinghui Ren, Yi Jiao, Hussien Hegab, Ahmed Mohamed Mahmoud Ibrahim
Summary: In recent years, micro-grinding of complex meso/micro-components of hard and brittle materials has gained significant attention. A theoretical model was established to analyze the material removal mechanism and an evaluation factor of edge chipping damage was proposed. The theoretical results were verified using nano-scratch test, proving the efficiency of the proposed evaluation factor in describing and predicting micro-grinding quality.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2021)
Article
Materials Science, Ceramics
Amit Choudhary, Soumitra Paul
Summary: The study demonstrates that controlling the scallop height (S-g) can effectively reduce defects induced by grinding in ceramic components. Increasing grinding speed significantly decreases S-g, which has different effects on brittle ceramics and tougher ceramics.
CERAMICS INTERNATIONAL
(2021)
Article
Engineering, Industrial
Zhaojie Chen, Jin Xie, Junhan Liu, Xiansong He, Cong Zhou
Summary: In the abrasive machining of monocrystalline silicon, the surface and subsurface behavior can be changed by utilizing the impulse discharge between the wheel metal and semiconductor silicon. This method drives a loose-abrasive flow, which results in nano-scale surface removal and thermal modification. The research focuses on the formation behavior of the abrasive-Si interface to improve the surface and subsurface integrity. The results show that the hybrid machining approach with mechanical cut-copying and impulse-discharge thermal modifying action can greatly enhance the surface integrity and form accuracy.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Fanxuan Yang, Yuli Sun, Yaji Wang, Honglei Mo, Limin Zhu, Hang Yuan, Bo Lu, Guiguan Zhang, Dunwen Zuo
Summary: This study established and verified a model for the surface roughness of aspherical components during grinding, revealing the impact of processing parameters on surface roughness. It was found that adjusting the grinding wheel speed, depth of cut, and workpiece speed can significantly reduce surface roughness and lead to a more uniform surface finish. The theoretical model provides guidance for the controllable and efficient machining of aspheric components.
ADVANCED THEORY AND SIMULATIONS
(2022)
Article
Automation & Control Systems
Yan Wang, Bocheng Zhao, Jixing Li, Zhaofeng Qian, Shengju Huang, Jinhuan Su, Jing Zhou
Summary: In this paper, the generation mechanism of residual stress in the monocrystalline silicon wafer was analyzed based on diamond wire sawing technology. The simulation and experimental results showed that the residual compressive stress on the surface of the silicon wafer by ultrasonic vibration-assisted wire sawing is larger than that by conventional wire sawing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Haipeng Yan, Fei Deng, Zhiying Qin, Jinda Zhu, Hongjie Chang, Huli Niu
Summary: The effects of grinding parameters on longitudinal crack propagation depth and the surface residual stress of silicon nitride ceramics were analyzed. The study found that the residual compressive stress on the surface of silicon nitride ceramics decreases with the increase in the depth of crack propagation and the degree of surface brittle spalling. The crack propagation depth increased with the increase in the residual tensile stress at the location of crack propagation.
Article
Engineering, Geological
Zhenli Fan, Lutong Cao, Qiuge Yu, Qiuyang Zhao, Zhiwei Zhang
Summary: This study investigates the dynamic development characteristics of the abscission layer and the impact of grouting on groundwater. The results indicate that the abscission layer primarily exists at the top of the water-conducting fracture zone and develops and closes with the mining of the working face. Grouting grout is mainly stored in the horizontal abscission layer and diffuses with mining-induced fissures and groundwater flow. The influence of grouting on groundwater quality is essentially eliminated after 20 years.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Hongyuan Gao, Zhiwei Zhang, Shihao Wang, Helin Sun
Summary: This paper proposes an underdetermined blind source separation method based on the quantum Archimedes optimization algorithm, achieving higher accuracy and more reasonable initial parameter selection through solving the objective functions and initial estimation signal setting for engineering problems.
APPLIED INTELLIGENCE
(2023)
Article
Chemistry, Physical
Zhiwei Zhang, Jingqi Chen, Xuetao Yan, Xiaowei Liu, Yingying Chen, Chuanqi Zhao, Lingyan Feng
Summary: In this study, a facile method was proposed to assemble carbon dots (CDs) with G-quartet hydrogels, forming composite materials with circularly polarized luminescence (CPL) activity. The helical chiral structure and CPL orientation of the composites can be switched back and forth reversibly, and their potential applications in anti-counterfeiting printing and encrypted information transfer were demonstrated.
Article
Chemistry, Multidisciplinary
Chujing Yang, Zhiwei Zhang, Jingqi Chen, Xinying Zhang, Yankai Dai, Xuyi Li, Yingying Chen, Jiaqiang Xu, Lingyan Feng
Summary: We discovered that the complexes formed by nucleotides and terbium(iii) exhibit circularly polarized luminescence (CPL). The CPL of GMP/Tb/Ag coordination polymer nanoparticles (CPNs) can be manipulated by a magnetic field and pH. The CPL of purine nucleobases is opposite to that of pyrimidine nucleobases. GMP/Tb/Ag CPNs can be used as advanced safety coatings and acid-base switches, while Tb/Ag can serve as CPL probes for rapid differentiation of nucleotides, providing insights into the multiple transformations and applications of CPL.
NEW JOURNAL OF CHEMISTRY
(2023)
Article
Engineering, Mechanical
Zisen Hua, Zhiwei Zhang, Yibin Li, Chai Hui, Xianhua Li, Yaru Sun
Summary: This paper introduces an elastic element into the traditional high rigid leg structure to mimic the passive compliance capacity of animal's leg joint. The principle of passive compliance leg is proposed based on the analysis of the physiological structure of a dog leg. A single-edge dual-piston pneumatic actuator is designed and used to connect the thigh and calf components, effectively improving motion stability and foot trajectory tracking accuracy.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Metallurgy & Metallurgical Engineering
Zhi-wei Zhang, Wei Cai, Jun Wang, Rong Yang, Pan Xiao, Fu-jiu Ke, Chun-sheng Lu
Summary: A theoretical model based on the dislocation nucleation mechanism was established to comprehensively describe the size and strain rate dependence of yield strength in monocrystalline ductile materials. Using Ni3Al as an example, the model extracted material-dependent parameters from molecular dynamics simulations and constructed a theoretical surface of yield strength, which was verified by experimental data. The model was further validated using third-party molecular dynamics and experimental data of monocrystalline copper and gold, showing its ability to accurately predict the mechanical properties of these materials.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
(2023)
Article
Green & Sustainable Science & Technology
Jin Zhang, Shuiping Zhang, Xin Huang, Zhiwei Zhang, Chengtuo Jin
Summary: This study uses panel data from 30 provinces (autonomous regions and municipalities) in mainland China from 2011 to 2021 to calculate the comprehensive development level of green finance (GF) and economic resilience (ER) using the entropy weight method. The research analyzes the spatiotemporal evolution characteristics of the coupling coordination degree of the two systems and finds that the coupling coordination level shows an increasing trend and presents an East > Middle > West spatial gradient pattern. The research provides valuable insights for implementing a sustainable development strategy in China.
Article
Materials Science, Multidisciplinary
Lin Shi, Juntao Zou, Jing Chen, Hangyu Xue, Junsheng Cheng, Yuxuan Wang, Lixing Sun, Dazhuo Song, Zhiwei Zhang, Yihui Jiang
Summary: In this work, non-segregation Cu-16Sn-0.3Ti alloy powders were successfully prepared by vacuum induction melting inert gas atomization (VIGA) method and homogenization treatment in vacuum. The segregated solidification behavior of atomized Cu-16Sn-0.3Ti alloy droplets and the interface segregation and atomic diffusion behavior of alloy powders during homogenization were investigated. The results provide guidance for the preparation of low-segregation Cu-16Sn-0.3Ti alloys.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Computer Science, Artificial Intelligence
Song Zhai, Zhiwei Zhang, Jiayu Liao, Xinping Cui
Summary: This paper presents a case study on combinatorial treatment selection for COVID-19 based on real-world data from a large hospital in Southern China. The analysis reveals substantial and heterogeneous treatment effects, suggesting that the optimal combinatorial treatment may depend on baseline age, systolic blood pressure, and c-reactive protein level.
FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2023)
Article
Forestry
Zhiwei Zhang, Yingqing Guo, Gang Chen, Zhaodong Xu
Summary: This paper proposes a novel dual-channel CNN for forest fires detection and extinguishing, which enhances the semantic information and richness of features and focuses on key details through multiple feature enhancement techniques and attention mechanism. The experimental results show that the proposed model achieves an accuracy of 98.90% for fire recognition, with better performance.
Article
Engineering, Environmental
Xiao Cheng, Zhiwei Zhang, Lei Zhao, Cheng Deng, Chao Li, Yaohua Du, Mengfu Zhu
Summary: In order to tackle environmental pollution and emerging infectious diseases, it is crucial to develop highly efficient filters that can simultaneously remove air pollutants and pathogenic microorganisms. Traditional fibrous filter materials are not effective in capturing fine particles due to their wide fibers and large pores. This study utilized electrospinning to combine nano-spiderwebs with an ordered nanofiber membrane, creating an air-filtration material with a multi-stage pore structure that efficiently filters to deliver breathable air. The prepared composite nanofiber membrane demonstrated a filtration efficiency of over 98% for particulate matter smaller than 0.3 μm with a pressure drop of less than 100 Pa. The combination of nano-spiderweb/ordered structure effectively enhanced the filtration efficiency for fine particles. Additionally, the composite nanofiber membrane exhibited excellent bacterial filtration efficiency (>95%), showcasing its significant potential for air-filtration applications.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan
Summary: In this paper, a new problem of seeking stable subgraph isomorphisms for a query graph in a temporal graph is studied. A pruning-based search algorithm using new pruning tricks is developed to solve the problem. To improve efficiency, a novel index structure called BCCIndex is proposed, which is based on bi-connected component decomposition of the query graph. Extensive experiments on real-life datasets demonstrate the efficiency and effectiveness of the algorithms.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Optics
Yang Zhiyong, Zhang Zhiwei, Cai Wei, Li Shun
Summary: This study proposes a new index to comprehensively evaluate the polarizance and depolarization characteristics of the Mueller matrix by improving and establishing a rotating Mueller matrix measurement system. The effectiveness of the index is verified using polarizers with different extinction ratios. The study also explores the influence of incident angle and roughness on the target Mueller matrix elements and polarization characteristics. The results demonstrate the applicability of the index in target recognition during target detection. Overall, this study receives a score of 8 out of 10.
ACTA OPTICA SINICA
(2023)
Article
Computer Science, Artificial Intelligence
Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan
Summary: This article investigates the decomposition problem on uncertain graphs and proposes a bottom-up algorithm based on an on-demand n-degree computational strategy and a more efficient top-down algorithm with several optimization techniques. Both algorithms do not involve any floating-point number division operations, ensuring correctness.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
Summary: This paper discusses the importance of finding critical users in social networks to maintain community cohesion and size. A neural network model called SCGCN is proposed to capture the hidden structure of the criticalness among node combinations that break the engagement of a specific social community. Experimental results show that SCGCN significantly improves the quality of the solution compared with the existing greedy algorithm.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)