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Journal of Bionic Engineering 2024年第1期21卷 303-324页

作者： Ehsan Anbarzadeh Bijan Mohammadi School of Mechanical Engineering Iran University of Science and TechnologyTehranIran

In this study,different conditions of sandblasting on dental implant fixtures were investigated to achieve the best sandblasting conditions.18 different sandblasting conditions(Using 152 implant fixture samples)were examined,including parameters such as particle size,particle blasting pressure,and particle blasting angle.The surface treatment of the samples was performed using the SLA+Anodizing method.AFM testing was performed for each of the 18 different states,and the average Surface roughness of each of these was compared with each other.Then,a bone layer was placed on the sample with the closest average Surface roughness to the standard and the least amount of aluminum oxide on its surface among the 18 different states,to confirm the accuracy and quality of the desired Surface roughness by examining the bone formation process and speed.The results showed that state No.4(sandblast particle size:75µm,spraying pressure of sandblast particles:4 bar,sandblast particle spraying angle:30 degrees),which was prepared using the SLA+Anodizing method and had a Surface roughness of 1.989µm(The percentage of Al_(2)O_(3)on the surface=6%),had the best sandblasting conditions and showed 95%cell viability and accelerated the treatment and bone formation process for about a week.The simulation results,using Abaqus software,indicated that the stress distribution on the surface of the implant fixture in contact with the bone surface has increased by approximately 4.3%for state No.4.This will help prevent loosening of the dental implant fixture over time.

关键词： Dental implants surface treatment Sandblast Surface roughness Osseointegration

Surface roughness classification using light scattering matrix and deep learning

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Science China(Technological Sciences) 2024年第2期67卷 520-535页

作者： SUN Hao TAN Wei RUAN YiXiao BAI Long XU JianFeng State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Wuhan Digital Design and Manufacturing Innovation Center Co. LtdWuhan 430074China

High-quality optical components have been widely used in various applications;thus,extremely high beam quality is required.Moreover,Surface roughness is a key indicator of the surface quality.In this study,the angular distribution of light scattering field intensity was obtained for surfaces having different roughness profiles based on the finite difference time domain(FDTD)method,and the results were compared with those obtained using the generalized Harvey-Shack(GHS)theory.It was shown that the FDTD approach can be used for an accurate simulation of the scattered field of a rough surface,and the superposition of results obtained from many surfaces that have the same roughness level was in good agreement with the result given by the analytic GHS model.A light scattering matrix(LSM)method was proposed based on the FDTD simulation results that could obtain rich Surface roughness information.The classification effect of LSM was compared with that of the single-incidence scattering distribution(SISD)based on a ResNet-50 deep learning network.The classification accuracy of the model trained with the LSM dataset was obtained as 95.74%,which was 23.40%higher than that trained using the SISD dataset.Moreover,the effects of different noise types and filtering methods on the classification performance were analyzed,and the LSM was also shown to improve the robustness and generalizability of the trained Surface roughness classifier.Overall,the proposed LSM method has important implications for improving the data acquisition scheme of current light scattering measurement systems,and it also has the potential to be used for detection and characterization of surface defects of optical components.

关键词： Surface roughness FDTD simulation GHS theory deep learning light scattering matrix

Prediction of undeformed chip thickness distribution and Surface roughness in ultrasonic vibration grinding of inner hole of bearings

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第4期25卷 311-323页

作者： Yanqin LI Daohui XIANG Guofu GAO Feng JIAO Bo ZHAO School of Mechanical and Power Engineering Henan Polyechnic UniversiryJiaozuo 454000.China

Ultrasonic vibration grinding differs from traditional grinding in terms of its material removal mechanism.The randomness of grain-workpiece interaction in ultrasonic vibration grinding can produce variable chips and impact the Surface roughness of workpiece.However,previous studies used iterative method to calculate the unformed chip thickness(UCT),which has low computational efficiency.In this study,a symbolic difference method is proposed to calculate the UCT.The UCT distributions are obtained to describe the stochastic interaction characteristics of ultrasonic grinding process.Meanwhile,the UCT distribution characteristics under different machining parameters are analyzed.Then,a Surface roughness prediction model is established based on the UCT distribution.Finally,the correctness of the model is verified by experiments.This study provides a quick and accurate method for predicting Surface roughness in longitudinal ultrasonic vibration grinding.

关键词： Ultrasonic vibration grinding Undeformed chip thickness(UCT) Distribution characteristics Surface roughness

A review of Surface roughness measurements based on laser speckle method

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Journal of Iron and Steel Research(International) 2023年第10期30卷 1897-1915页

作者： Mei-qi Shao Dong Xu Si-yi Li Xiao-gang Zuo Chang-ke Chen Gong-zhuang Peng Jia-min Zhang Xiao-chen Wang Quan Yang Institute of Engineering Technology University of Science and Technology BeijingBeijing 100083China Xinjiang Joinworld Co. Ltd.Urumqi 830000XinjiangChina

Surface roughness is commonly used to characterize material microstructure during processing,and accurate measurement of Surface roughness is the premise and foundation of machining.Therefore,online non-destructive measurement of Surface roughness based on the laser speckle method has become a hot issue in recent research.The improvements in Surface roughness measurements based on the laser speckle method are systematically reviewed.Theory of speckle formation is introduced.The statistical properties of the speckle patterns including first-order statistical properties and second-order statistical properties are directly related to Surface roughness.Surface roughness measurements based on the laser speckle method are roughly divided into the speckle contrast method,speckle correlation method,and fractal method.The three methods are described in detail,and an extensive comparison among all the methods is presented.The recent progresses and application of Surface roughness measurements are reviewed.Finally,Surface roughness measurements based on the laser speckle method are prospected and summarized.

关键词： Surface roughness Non-destructive measurement Laser speckle method Speckle pattern Statistical property

Evaluation of Surface roughness of Aluminum Alloy in Burnishing Process Based on Chaos Theory

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Chinese Journal of Mechanical Engineering 2023年第1期36卷 90-103页

作者： Zhipeng Yuan Zhenyu Zhou Zhiguo Jiang Zeyu Zhao Cong Ding Zhongyu Piao College of Mechanical Engineering Zhejiang University of TechnologyHangzhou310012ZhejiangChina Key Laboratory of Special Purpose Equipment and Advanced Processing Technology Ministry of Education and Zhejiang ProvinceZhejiang University of TechnologyHangzhou310012China

Burnishing experiments with different burnishing parameters were performed on a computer numerical control milling machine to characterize the Surface roughness of an aluminum alloy during burnishing.The chaos theory was employed to investigate the nonlinear features of the burnishing system.The experimental results show that the power spectrum is broadband and continuous,and the Lyapunov exponentλis positive,proving that burnishing has chaotic characteristics.The chaotic characteristic parameter,the correlation dimension D,is sensitive to the time behavior of the system and is used to establish the corresponding relationship with the Surface roughness.The correlation dimension was the largest,when the Surface roughness was the smallest.Furthermore,when the correlation dimension curve decreases,the roughness curve increases.The correlation dimension and Surface roughness exhibit opposite variation trends.The higher the correlation dimension,the lower the Surface roughness.The Surface roughness of the aluminum alloy can be characterized online by calculating the correlation dimension during burnishing.

关键词： Aluminum alloy burnishing Power spectrum Correlation dimension Lyapunov exponent Surface roughness

Design of GH4169 diaphragm for combined improvements of yield strength and Surface roughness

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Clean Energy 2023年第1期7卷 53-58页

作者： Qiushi Wang Guangli He Wenjing Zhao Zhihua Han Linlin Wei National Institute of Clean and Low Carbon Energy.Future Science City Changping Dist.Beijing P.R.China

Diaphragm compressors have become the primary source of on-site hydrogen compression for hydrogen fuelling stations around the world.The most common hydrogen-compressor-failure mechanism has been identified as diaphragm fracture due to low ten-sile strength and poor surface properties.In this study,a new type of GH4169 diaphragm with high yield strength and low Surface roughness was fabricated.Microstructures,tensile behaviours and surface properties of the specimens were characterized by using scanning electron microscopy,an electronic universal testing machine and atomic force microscopy,respectively.The evolution of theandphases with temperature has been examined.Bothandphases were precipitant-strengthened phases for GH4169 and the volume and size ofandphases increase with ageing time.In addition,thephase is the main strengthening phase andis the supportive strengthening phase.Tensile strength was increased due to the strengthening phases at the cost of ductility.The roughness of the diaphragm could reach an arithmetic average roughness(Ra)of 0.1μm by applying a cooling-assisted polishing process.This work improves the reliability and reduces the auxiliary steps and down-time for diaphragm compressors.

关键词： hydrogen diaphragm compressor diaphragm fracture heat treatment Surface roughness

Role of Surface roughness in the magnesite flotation and its mechanism

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Particuology 2022年第3期20卷 63-70页

作者： Zhanglei Zhu Yafeng Fu Wanzhong Yin Haoran Sun Keqiang Chen Yuan Tang Bin Yang School of Resources and Civil Engineering Northeastern UniversityShenyang 110819China Ansteel Beijing Research Institute CO. LTD.Beijing 102200China Genetic Mineral Processing Research Center Northeastern UniversityShenyang 110819China

Surface roughness has a significant influence on mineral flotation.The assisting effect of Surface roughness on minerals flotation is extensively investigated from its physical properties(e.g.,the existing form of asperity and its size),however,the associated effect on mineral flotation based on the differences in surface chemical property caused by Surface roughness has been rarely touched.With such a question in mind,in this study,we investigated the flotation recoveries of two batches of magnesite particles with varying degree of Surface roughness produced by two different mills,and associated the flotation performances to their surface chemical properties(amount of adsorption sites for the collector)via a series of detections,including Scanning Electron Microscope-Energy Dispersive Spectrometry(SEM-EDS)observations,X-ray photoelectron spectroscopy(XPS)analysis,adsorption capacity tests,and contact angle measurements.Finally,we concluded that rougher magnesite particles could provide more active sites(Mg^(2+))for a larger capacity of sodium oleate(NaOL),thereby improving the hydrophobicity and floatability.

关键词： Surface roughness Active adsorption site Collector adsorption capacity Flotation performance

Numerical analysis and experimental validation of Surface roughness and morphology in honing of Inconel 718 nickel-based superalloy

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Advances in Manufacturing 2023年第1期11卷 130-142页

作者： Chang-Yong Yang Zhi Wang Hao Su Yu-Can Fu Nian-Hui Zhang Wen-Feng Ding Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology Nanjing University of Aeronautics and AstronauticsNanjing210016People’s Republic of China College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and AstronauticsNanjing210016People’s Republic of China

Honing is an important technology for machining onboard system parts.The parts are usually made of difficult-to-machining materials,e.g.,Inconel 718 superalloy.Honing can improve the finishing accuracy and surface quality.However,the selection of the honing parameters was primarily based on the results of a large number of experiments.Therefore,the establishment of a reliable model is needed to predict the honed Surface roughness and morphology,and offers a theoretical direction for the choice of parameters.In the present study,a numerical simulation model was constructed for analysis of the honing process by Python.The oilstone,workpiece surface morphology and motion trajectory were discretized by Python,and the machined surface was obtained by trajectory interference.Firstly,based on the statistical analysis of the surface topography of oilstone,the shape of grains was simplified and the surface topography of oilstone was built accordingly.Then,the initial surface morphology of the workpiece was constructed and the trajectory of grains on the workpiece surface was analyzed,which showed the distribution of the removed material.Meanwhile,the plastic deformation of material was analyzed in the simulation model.The critical depth of three stages of contact between grains and workpiece was calculated by the theoretical formula:scratching,ploughing and cutting.By analyzing the distribution of bulge,the plastic deformation in ploughing and cutting stage was studied.Further,the simulated results of honed Surface roughness and morphology were validated and agreed reasonably well with the honing experiment.Finally,the effects of honing process parameters,including grain size,tangential speed,axial speed,radial speed and abrasive volume percentage,on the Surface roughness of the workpiece were analyzed by the simulation model.

关键词： Numerical analysis Surface roughness Plastic deformation Morphology

Effects of Surface roughness on Interface Bonding Performance for 316H Stainless Steel in Hot-Compression Bonding

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Acta Metallurgica Sinica(English Letters) 2023年第5期36卷 771-788页

作者： Yong Zhao Bi-Jun Xie Jin-Long Zhang Qin-Qiang Wang Bin Xu Jiang Guo Zhu-Ji Jin Ren-Ke Kang Dian-Zhong Li Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education Dalian University of TechnologyDalian116024China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

The metallurgical bonding quality of bonding joints is affected by the substrate surface state in hot-compression bonding(HCB),and the Surface roughness is a core indicator of the surface state.However,the effects of Surface roughness on interface bonding performance(IBP)in the HCB process are unclear for substrates with refractory oxide scales.This study presents the effects of Surface roughness on IBP for 316H stainless steel joints fabricated by HCB.A set of HCB parameters for interface bonding critical state of 316H stainless steel joints was determined.The HCB experiments were carried out under parameters of interface bonding critical state to amplify the effect of Surface roughness.The interface morphologies,element distribution,and tensile properties were used to characterize the IBP.As a result,the formation mechanisms of the interface pits were revealed and the variation trend of pit number with the roughness was summarized.Finally,the mapping relation between Surface roughness and IBP was established.The results show that the degree of rotational dynamic recrystallization becomes weaker with the decrease in the Surface roughness and the interface bonding mechanism is completely transformed into discontinuous dynamic recrystallization when the roughness is lower than 0.020μm Sa.The number of interfacial pits decreases as the roughness decreases owing to the weakening of oxide scale aggregation and abrasive inclusion mechanism.The elongation of the tensile specimen cannot increase significantly while the roughness is lower than 0.698μm Sa.

关键词： Surface roughness Interface bonding performance Hot-compression bonding Mapping relation Critical state

Research on Surface roughness of Supersonic Vibration Auxiliary Side Milling for Titanium Alloy

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Chinese Journal of Mechanical Engineering 2022年第5期35卷 100-111页

作者： Xuetao Wei Caixu Yue Desheng Hu Xianli Liu Yunpeng Ding Steven Y.Liang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of EducationHarbin 150080China Department of Precision Manufacturing Engineering Suzhou Vocational Institute of Industrial TechnologySuzhou 215104China George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlanta 30332USA

The processed surface contour shape is extracted with the finite element simulation software.The difference value of contour shape change is used as the parameters of balancing Surface roughness to construct finite element model of supersonic vibration milling in cutting stability domain.The Surface roughness trial scheme is designed in the orthogonal test design method to analyze the Surface roughness test result in the response surface methodology.The Surface roughness prediction model is established and optimized.Finally,the Surface roughness finite element simulation prediction model is verified by experiments.The research results show that,compared with the experiment results,the error range of the finite element simulation model is 27.5%–30.9%,and the error range of the empirical model obtained by the response surface method is between 4.4%and 12.3%.So,the model in this paper is accurate and will provide the theoretical basis for the optimization study of the auxiliary milling process of supersonic vibration.

关键词： Side milling Axial vibration Ultrasonic milling Finite element simulation Linear regression Surface roughness