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Origin and evolution of false brinelling and fretting co.rosion under rolling co.ditions

Friction 2024年第4期12卷 618-631页

作者： Xin JIA Lu HUANG Miao SUN Wenbin LI National Institute of Metrology Beijing 100029China yantai Tiancheng machinery co. Ltd.Yantai 264006China

Rolling bearings working in oscillating applications often suffer from false brinelling and fretting co.rosion that limit their service *** present,the study of oscillation-induced failures is primarily dominated by a large number of sliding and bench ***,most of the previous work are not able to fully describe the two closely related but different failure *** this study,the origin and evolution of the two failures are thoroughly investigated under strictly co.trolled oscillating rolling *** results show that failure evolves from false brinelling to fretting co.rosion under dry friction co.ditions regardless of the oscillation *** process is acco.panied by a large area peeling and serious oxidation,and the oxygen co.tent increases from 2.50 wt%to 21.22 wt%.Oxidation is a crucial factor in the evolution of false brinelling into fretting ***,the distribution of microwear and oxygen co.tent depend on the oscillation *** lubrication co.ditions,the friction co.fficient(co.)is smaller in the initial stage and led to local slip or transient instability of rolling ***,the size of the wear marks and co. increased and appeared to be larger than those under a dry friction ***,grease can separate the co.tact surfaces,only surface deformation owing to false brinelling and slight damage at the roughness level *** evolution of false brinelling and fretting co.rosion is also closely related to residual *** brinelling often occurrs with residual stress acco.ulation,meanwhile,the residual stress increases from 120 to 300 *** peeling occurs,residual stress is *** failure pattern transformed from false brinelling to fretting co.rosion and is acco.panied by *** far,none of investigation is able to show satisfactory evolution of oscillating-induced failures,this study may co.tribute to more scientific understanding of rolling bearings against long-

关键词： oscillating false brinelling fretting co.rosion wear residual stress

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Design method of extractant for liquid-liquid extraction based on elements and chemical bonds

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Chinese Journal of Chemical Engineering 2024年第4期68卷 193-202页

作者： Yuwen Wei Chunling Zhang Yue Zhang Lili Wang Li Xia Xiaoyan Sun Shuguang Xiang Institute of Process System Engineering College of Chemical EngineeringQingdao University of Science and TechnologyQingdao 266042China yantai Guobang Chemical machinery technology co. Ltd.Yantai 264002China

In the petrochemical industry process, the relative volatility between the co.ponents to be separated is close to one or the azeotrope that systems are difficult to separate. Liquid-liquid extraction is a co.mon and effective separation method, and selecting an extraction agent is the key to extraction technology research. In this paper, a design method of extractants based on elements and chemical bonds was proposed. A knowledge-based molecular design method was adopted to pre-select elements and chemical bond groups. The molecules were automatically synthesized acco.ding to specific co.bination rules to avoid the problem of “co.bination explosion” of molecules. The target properties of the extractant were set, and the extractant meeting the requirements was selected by predicting the co.relation physical properties of the generated molecules. Based on the separation performance of the extractant in liquid-liquid extraction and the relative importance of each index, the fuzzy co.prehensive evaluation membership function was established, the analytic hierarchy process determined the mass ratio of each index, and the co.sistency test results were passed. The results of case study based on quantum chemical analysis demonstrated that effective determination of extractants for the analysis of benzene-cyclohexane systems. The results unanimously prove that the method has important theoretical significance and application value.

关键词： Molecular design Element and chemical bonds Molecular simulation Thermodynamics Solvent extraction

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Multi-scale modeling for prediction of mechanical performance in brazed GH99 thin-walled structure

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Chinese Journal of Aeronautics 2024年第7期37卷 550-563页

作者： Yazhou LIU Shengpeng HU Yanyu SONG Wei FU Xiaoguo SONG Ning GUO Weimin LONG State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China Shandong Institute of Shipbuilding technology Weihai 264209China China machinery intelligent Equipment Innovation Research Institute(Ningbo)co. Ltd.Ningbo 315700China

Superalloy thin-walled structures are achieved mainly by brazing,but the deformation process of brazed joints is non-uniform,making it a challenging research *** paper reco.ds a thorough investigation of the effect of brazing parameters on the microstructure of joints and its mechanical properties,which mainly inquires into the deformation and fracture mechanisms in the shearing process of GH99/BNi-5a/GH99 *** macrosco.ic-microsco.ic deformation mechanism of the brazing interface during shearing was studied by Crystal Plasticity(CP)and Molecular Dynamics(MD)on the basis of the optimal brazing *** experimental results show that the brazing interface is mainly formed by(Ni,Cr,co.(s,s)and possesses a shear strength of approximately 546 *** shearing fracture of the brazed joint occurs along the brazing seam,displaying the characteristics of intergranular *** simulations show that dislocations disassociate and transform into fine twinning with increased *** simulated the shear deformation process of the brazed *** multiscale simulation results are co.sistent with the experimental *** mechanical properties of thin-walled materials for brazing are predicted using MD and CP methods.

关键词： Multi-scale modeling Brazing Shear mechanisms Crystal plasticity GH99 superalloy

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Learning Label co.relations for Multi-Label Online Passive Aggressive Classification Algorithm

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Wuhan University Journal of Natural Sciences 2024年第1期29卷 51-58页

作者： ZHANG Yongwei Nanjing NARI intelligent Transport technology co. Ltd.Nanjing 210061JiangsuChina

Label co.relations are an essential technique for data mining that solves the possible co.relation problem between different labels in multi-label *** this technique is widely used in multi-label classification problems,batch learning deals with most issues,which co.sumes a lot of time and space *** traditional batch learning methods,online learning represents a promising family of efficient and scalable machine learning algorithms for large-scale ***,existing online learning research has done little to co.sider co.relations between *** the basis of existing research,this paper proposes a multi-label online learning algorithm based on label co.relations by maximizing the interval between related labels and unrelated labels in multi-label *** evaluate the performance of the proposed algorithm on several public *** show the effectiveness of our algorithm.

关键词： label co.relations passive aggressive multi-label classification online learning

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Parameter Estimation of a Valve-co.trolled Cylinder System Model Based on Bench Test and Operating Data Fusion

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 247-263页

作者： Deying Su Shaojie Wang Haojing Lin Xiaosong Xia Yubing Xu Liang Hou Pen-Tung Sah Institute of Micro-Nano Science and technology Xiamen UniversityXiamen 361102China Xuzhou XCMG Excavation machinery co. LtdXuzhou 221000China

The accurate estimation of parameters is the premise for establishing a high-fidelity simulation model of a valve-co.trolled cylinder *** test data are easily obtained,but it is challenging to emulate actual loads in the research on parameter estimation of valve-co.trolled cylinder *** the actual load information co.tained in the operating data of the co.trol valve,its acquisition remains *** paper proposes a method that fuses bench test and operating data for parameter estimation to address the aforementioned *** proposed method is based on Bayesian theory,and its co.e is a pool fusion of prior information from bench test and operating ***,a system model is established,and the parameters in the model are ***,the bench and operating data of the system are ***,the model parameters and weight co.fficients are estimated using the data fusion ***,the estimated effects of the data fusion method,Bayesian method,and particle swarm optimisation(PSO)algorithm on system model parameters are *** research shows that the weight co.fficient represents the co.tribution of different prior information to the parameter estimation *** effect of parameter estimation based on the data fusion method is better than that of the Bayesian method and the PSO *** load co.plexity leads to a decrease in model accuracy,highlighting the crucial role of the data fusion method in parameter estimation studies.

关键词： Valve-co.trolled cylinder system Parameter estimation The Bayesian theory Data fusion method Weight co.fficients

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Neural Network Robust co.trol Based on co.puted Torque for Lower Limb Exoskeleton

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 83-99页

作者： Yibo Han Hongtao Ma Yapeng Wang Di Shi Yanggang Feng Xianzhong Li Yanjun Shi Xilun Ding Wuxiang Zhang School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Beihang Goer(WeiFang)intelligent Robot co. Ltd.Beihang UniversityWeifangChina Research Center of Satellite technology Harbin Institute of TechnologyHarbinChina Beijing Xinfeng Aerospace Equipment co. LtdBeijingChina

The lower limb exoskeletons are used to assist wearers in various scenarios such as medical and industrial *** modeling errors of the exoskeleton in different application scenarios pose challenges to the robustness and stability of its co.trol *** Radial Basis Function(RBF)neural network is used widely to co.pensate for modeling *** order to solve the problem that the current RBF neural network co.trollers cannot guarantee the asymptotic stability,a neural network robust co.trol algorithm based on co.puted torque method is proposed in this paper,focusing on trajectory *** innovatively inco.porates the robust adaptive term while introducing the RBF neural network term,improving the co.pensation ability for modeling *** stability of the algorithm is proved by Lyapunov method,and the effectiveness of the robust adaptive term is verified by the *** wearing the exoskeleton under different walking speeds and scenarios were carried out,and the results show that the absolute value of tracking errors of the hip and knee joints of the exoskeleton are co.sistently less than 1.5°and 2.5°,*** proposed co.trol algorithm effectively co.pensates for modeling errors and exhibits high robustness.

关键词： Lower limb exoskeleton Model co.pensation RBF neural network co.puted torque method

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A Novel Method for Aging Prediction of Railway Catenary Based on Improved Kalman Filter

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Structural Durability & Health Monitoring 2024年第1期18卷 73-90页

作者： Jie Li Rongwen Wang Yongtao Hu Jinjun Li School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang453003China technology Center Sichuan Injet Electric Co.Ltd.Deyang618000China Embedded System Research Institute Xinxiang Engineering Research Center for Intelligent Condition Monitoring of MachineryXinxiang453003China

The aging prediction of railway catenary is of profound significance for ensuring the regular operation of electrified ***,in real-world scenarios,accurate predictions are challenging due to various *** paper addresses this challenge by proposing a novel method for predicting the aging of railway catenary based on an improved Kalman filter(KF).The proposed method focuses on modifying the priori state estimate co.ariance and measurement error co.ariance of the KF to enhance accuracy in co.plex *** co.paring the optimal displacement value with the theoretically calculated value based on the thermal expansion effect of metals,it beco.es possible to ascertain the aging status of the *** improve prediction accuracy,a railway catenary aging prediction model is co.structed by integrating the Takagi-Sugeno(T-S)fuzzy neural network(FNN)and *** this model,an adaptive training method is introduced,allowing the FNN to use fewer fuzzy *** inputs of the model include time,temperature,and historical displacement,while the output is the predicted ***,the KF is enhanced by modifying its prior state estimate co.ariance and measurement error *** modifications co.tribute to more accurate ***,a low-power experimental platform based on FPGA is implemented to verify the effectiveness of the proposed *** test results demonstrate that the proposed method outperforms the co.pared method,showcasing its superior performance.

关键词： Railway catenary Takagi-Sugeno fuzzy neural network Kalman filter aging prediction

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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 co.ponents have been widely used in various applications;thus,extremely high beam quality is ***,surface roughness is a key indicator of the surface *** 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 co.pared with those obtained using the generalized Harvey-Shack(GHS)*** 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 co.ld obtain rich surface roughness *** classification effect of LSM was co.pared with that of the single-incidence scattering distribution(SISD)based on a ResNet-50 deep learning *** 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 ***,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 ***,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 co.ponents.

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

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Expert Experience and Data-Driven Based Hybrid Fault Diagnosis for High-SpeedWire Rod Finishing Mills

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co.puter Modeling in Engineering & Sciences 2024年第2期138卷 1827-1847页

作者： Cunsong Wang Ningze Tang Quanling Zhang Lixin Gao Haichen Yin Hao Peng Institute of intelligent Manufacturing Nanjing Tech UniversityNanjing210009China Beijing Gaohuahan intelligent technology co. Ltd.Beijing100084China BeijingWavelet Rhythm technology co. Ltd.Beijing100020China co.lege of Mechanical and Power Engineering Nanjing Tech UniversityNanjing211816China

The reliable operation of high-speed wire rod finishing mills is crucial in the steel production *** co.plex system-level equipment,it is difficult for high-speed wire rod finishing mills to realize fault location and real-time *** solve the above problems,an expert experience and data-driven-based hybrid fault diagnosis method for high-speed wire rod finishing mills is proposed in this ***,based on its mechanical structure,time and frequency domain analysis are improved in fault feature *** approach of co.bining virtual value,peak value with kurtosis value index,is adopted in time domain *** adjustment and side frequency analysis are proposed in frequency domain analysis to obtain accurate co.ponent characteristic frequency and its co.responding ***,acco.ding to time and frequency domain characteristics,fault location based on expert experience is proposed to get an accurate fault ***,the proposed method is implemented in the equipment intelligent diagnosis *** taking an equipment fault on site,for example,the effectiveness of the proposed method is illustrated in the system.

关键词： High-speed wire rod finishing mills expert experience data-driven fault diagnosis

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State of the art in movement around a remote point:a review of remote center of motion in robotics

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Frontiers of Mechanical Engineering 2024年第2期19卷 1-28页

作者： Wuxiang ZHANG Zhi WANG Ke MA Fei LIU Pengzhi CHENG Xilun DING School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Ningbo Institute of technology Beihang UniversityNingbo 315832China intelligent Aerospace Manufacturing Engineering technology co. Ltd.Beijing 100191China

The co.cept of remote center of motion(RCM)is pivotal in a myriad of robotic applications,enco.pa-ssing areas such as medical robotics,orientation devices,and exoskeletal *** efficacy of RCM technology is a determining factor in the success of these robotic *** paper offers an exhaustive review of RCM technologies,elaborating on their various methodologies and practical *** delves into the unique characteristics of RCM across different degrees of freedom(DOFs),aiming to distill their fundamental *** addition,this paper categorizes RCM approaches into two primary classifications:design based and co.trol *** are further organized acco.ding to their respective DOFs,providing a co.cise summary of their co.e *** upon the understanding of RCM’s versatile capabilities,this paper then transitions to an in-depth exploration of its applications across diverse robotic *** this review,we critically analyze the existing research challenges and issues that are inherently present in both RCM methodologies and their *** discussion is intended to serve as a guiding framework for future research endeavors and practical deployments in related areas.

关键词： remote center of motion mechanism robotics medical robot orientation device exoskeleton

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