Volume 44,Issue 2,2021 Table of Contents

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  • 1  Design and analysis of a magnetorheological mount applied to the engine start/stop mode
    DENG Zhaoxue YANG Qinghua CAI Qiang LIU Tianqin
    2021, 44(2):1-12. DOI: 10.11835/j.issn.1000-582X.2020.207
    [Abstract](444) [HTML](750) [PDF 4.45 M](913)
    Abstract:
    To solve the problem of excessive vibration and torque transmitted from the engine to the body of an automobile in the start/stop mode, a flow-mode magnetorheological (MR) mount with an inertial channel was designed. With the influence of the exciting current on the viscosity of magnetorheological fluid (MRF) and the effect of liquid resistance taken into consideration, a mathematical model of the damping force of the MR mount was established. The distribution of magnetic induction intensity in the damping channel of the MR mount circuit under the action of excitation coil was analyzed by using the finite element software, and the effects of the excitation current and the structural parameters of the magnetic circuit on the restoring force and controllable force of the MR mount were analyzed as well. The performance test of the MR mount and the vehicle test in the start/stop mode were carried out. The results show that the designed MR mount has good controllability and can effectively isolate the vibration transmission of the automotive engine in the start/stop mode.
    2  Nonlinear analysis of the structural strength of a composite wind turbine blade
    XU Lijun WANG Weiqing
    2021, 44(2):13-24. DOI: 10.11835/j.issn.1000-582X.2020.203
    [Abstract](669) [HTML](745) [PDF 4.31 M](895)
    Abstract:
    The nonlinear finite element model of a 100 kW wind turbine blade was built to simulate the composite structural responses. According to the GL guidelines, ultimate loads in 4 directions were applied to the blade model to analyze the strain and safety factor distributions, and the linear and nonlinear buckling behaviors. It is found that under the condition of an extreme flap-wise load, a large strain happens in the middle of the blade and the transition between the blade root and the maximum chord section; the first eigenvalue and nonlinear bucklings occur around the blade tip; the nonlinear buckling analysis is more conservative than the linear analysis. Under the conditions of extreme edge-wise loads, a large strain exists at the trailing edge of the middle of the blade, and the first eigenvalue and nonlinear bucklings occur around the trailing and leading edges of the maximum chord section; in this case, the linear buckling analysis is more conservative than the nonlinear analysis. The first eigenvalue buckling load factors are larger than the nonlinear buckling load facors under the limit load conditions in all 4 directions.
    3  Tooth CNC correction for hypoid gears with ease-off topological modification
    JIANG Jinke FANG Zongde LIU Hongmei
    2021, 44(2):25-33. DOI: 10.11835/ji.ssn.1000-582X.2021.02.003
    [Abstract](538) [HTML](896) [PDF 3.40 M](879)
    Abstract:
    An approach of ease-off topological modification tooth design and correction for hypoid gears was proposed to improve comprehensive meshing performances of the automobile drive axle. The ease-off modification was expressed by both predesigned transmission error function and tooth profile modification curves, and an analytical expression of tooth with free ease-off flank modification for the pinion was established. The ease-off modification parameters were determined by minimizing the amplitude of loaded transmission error(ALTE) based on loaded tooth contact analysis(LTCA), and the objective deviations of theoretical tooth from the ease-off tooth for pinion were developed. Based on error sensitivities of the polynomial coefficients of kinematic axis and cutter head of CNC face-milling machine, flank topographic correction were determined, and reasonable parameter boundaries were determined. The influences of disturbed coefficients on the flank errors were investigated. With minimum sum of squared errors from the objective deviations as the aim function, an optimization algorithm was introduced to solve equations of the corrections. Numerical examples show that the tooth thickness errors and diagonal distortion errors were mainly corrected by the kinematic axes. Besides, with added tool edge correction, a high precision correction of ease-off topological tooth was realized. The study provides theoretical basis for the design, analysis and manufacture of free modified tooth of high-performance hypoid gears.
    4  Dynamic characteristics of a new self-damping planetary transmission system
    SHI Xiaoding SUN Dongye ZHOU Jin YOU Yong KAN Yingzhe
    2021, 44(2):34-42. DOI: 10.11835/j.issn.1000-582X.2020.017
    [Abstract](373) [HTML](681) [PDF 1.62 M](1177)
    Abstract:
    To improve the dynamic characteristics of the electromechanical transmission system under internal and external excitation, this paper proposes a new self-damping planetary transmission form, a torsional vibration damper coupled with a planetary gear (TVD-PG), in which the torsional vibration damper is used to replace the conventional structure of a certain member in the planetary gear being fixed with a box. A dynamic model of a motor and the TVD-PG system for variable speed is established, with the torsional deformation of shaft and the time-varying meshing stiffness of planetary gear taken into consideration. The dynamic characteristics of the TVD-PG system under startup and stable conditions are obtained and compared with those of traditional planetary gear transmission. The results show that the TVD-PG system can quickly reduce the fluctuation of the motor electromagnetic torque during the startup process, so that the speeds of the motor and the output can rapidly and smoothly increase. At the same time, the status of the dynamic meshing force in the planetary gear is improved under startup and stable conditions. Furthermore, because of the electromechanical coupling, the influence of the internal excitation parameters of the gear system on the motor part can be clearly observed when the system is stable.
    5  Rolling bearing fault diagnosis of SVM optimized by surface-simplex swarm evolution
    ZHENG Mengfu QUAN Haiyan
    2021, 44(2):43-52. DOI: 10.11835/j.issn.1000-582X.2020.278
    [Abstract](453) [HTML](630) [PDF 457.58 K](627)
    Abstract:
    To solve the problem that the parameter optimization algorithm of support vector machine (SVM) has many control parameters and easily falls into local optimum, a rolling bearing fault diagnosis method of SVM optimized by surface-simplex swarm evolution algorithm is proposed. First, surface-simplex swarm evolution (SSSE) is used to establish the particle's simple neighborhood search operator in a random way to reduce control parameters and develop the multi-role state search strategy to avoid falling into the local optimum. Then, SSSE is applied to parameter optimization of SVM to realize fault diagnosis. In the test, the energy matrix of ensemble empirical mode decomposition (EEMD) of rolling bearing signal is used as the feature input to perform performance analysis and testing of the method. The results show that the method not only effectively avoids the particles falling into the local optimal solution, but also reduces the control parameters, and can complete the signal diagnosis.
    6  Tracking accuracy analysis of a flexible manipulator with interval joint clearance
    LIU Zhiyuan SUN Dongyang
    2021, 44(2):53-64. DOI: 10.11835/j.issn.1000-582X.2020.287
    [Abstract](418) [HTML](683) [PDF 2.69 M](820)
    Abstract:
    To investigate the influences of large deformation, clearance and uncertainty on the dynamic behavior and control accuracy of a manipulator, a method for establishing the dynamics model of a flexible manipulator with interval joint clearance is presented. Then an evaluation method for the dynamics model is proposed. In this work, the absolute nodal coordinate formulation is used to model the flexible components, and the hybrid contact force model and Ambrósio friction force model are applied to constructing the revolute clearance joint. Meanwhile, intervals are used to characterize the clearance size and Young's modulus. The simulation results show that the flexibility and clearance can obviously affect the dynamic behavior and control accuracy of the manipulator. In addition, the influence will be more significant as the Young's modulus decreases or the clearance size increases. Uncertainty can reduce control accuracy and significantly affect the dynamic behavior of the manipulator.
    7  Optimization of an RV reducer by integrating Kriging with improved NSGA-II
    MIAO Jiacheng LI Chaoyang CHEN Bingkui
    2021, 44(2):65-78. DOI: 10.11835/j.issn.1000-582X.2020.212
    [Abstract](438) [HTML](856) [PDF 6.71 M](711)
    Abstract:
    With the volume, torsional stiffness and transmission efficiency taken as the optimization objectives, a multi-objective optimization model of the RV reducer was constructed. To improve the design efficiency and save the computational cost, a Kriging surrogate model with a partial torsional stiffness was established based on the NXOpen C++ and the Abaqus Python secondary development technology. To solve the multi-objective mixed-integer nonlinear-programming problem, an MP-NSGA-II (mixed population-NSGA-II) algorithm was proposed, and the coding scheme for discrete variables was improved. An integrated RV reducer design software was developed by using PySide2, and the coupling relationship between optimization objectives was analyzed. The structural parameters selected by the entropy method were compared with BAJ-25E, and the effectiveness of this method was verified.
    8  Design and simulation analysis of an automotive permanent-magnet stepless retarder
    HE Fujun LIU Kai ZHANG Ruijie ZHANG Qingyuan ZHANG Yuting
    2021, 44(2):79-85. DOI: 10.11835/j.issn.1000-582X.2019.007
    [Abstract](374) [HTML](607) [PDF 1.44 M](801)
    Abstract:
    The automobile permanent magnet stepless retarder is beneficial to achieving for the best slow braking under various road conditions. In this paper, the working principle of permanent magnet retarder is studied and an axial moving type stepless speed regulation design scheme is proposed. The design parameters are determined by theoretical analysis and calculation, and the second-order nonlinear structure optimization is performed by using the fmicon function module in Matlab to obtain the optimal solution of the key structure. A three-dimensional electromagnetic-field finite-element simulation model is established by ANSOFT software. The static and transient analyses of the magnetic field and the braking torque are performed to investigate the distribution characteristics and influencing factors of the magnetic field and the braking torques at different axial positions between the rotor and the stator. The results show that the retarder can achieve good linear control and stable braking torque output, which can meet the needs of the stepless retarding braking.
    9  A vehicle collision surrogate model based on numerical simulation and machine learning
    LIN Xiang YAN Bo MOU Zheyue WEN Nan HUANG Guizao
    2021, 44(2):86-93. DOI: 10.11835/j.issn.1000-582X.2020.296
    [Abstract](670) [HTML](969) [PDF 8.48 M](869)
    Abstract:
    By building a three-dimensional finite element model of a pickup truck, the dynamic processes of a truck colliding against a rigid wall and the collision between two trucks are numerically simulated, and the corresponding collision force-displacement curves of the truck with different initial speeds are obtained. Taking the initial speed of the truck as the input and the collision force-displacement curve as the output, the BP neural network machine learning algorithm is used to establish the vehicle collision surrogate model in the full speed domain. The numerical simulation samples are divided into a training set and a test set. The surrogate model is trained with the training set and its accuracy is verified by the test set samples. The model can be used to predict the force-displacement curve of a vehicle at an arbitrary collision speed quickly, providing an instruction for its safety design.
    10  Optimization of structure and magnetic field of a harmonic actuatorbased on giant magnetostrictive material
    LIU Yisi LI Junyang YANG Yutong PU Wei
    2021, 44(2):94-106. DOI: 10.11835/j.issn.1000-582X.2020.028
    [Abstract](466) [HTML](904) [PDF 6.07 M](916)
    Abstract:
    Based on the positive and inverse coupling magnetostrictive effects and energy conversion characteristics of giant magnetostrictive material (GMM), a new concept of a self-aware harmonic actuator integrating drive, transmission and sensing is proposed. The stress distribution of the wave generator during the running of the actuator is analyzed with ANSYS, and the size parameters of the GMM rod are calculated with the dimensional structure of the wave generator taken into consideration.Based on Biot-Savart law, the internal magnetic field of the drive coil is deduced. Subsequently, the arrangement of driving magnetic field and bias magnetic field is designed. A coupling model of the electrical, magnetic, and mechanical fields of the actuator is built by using COMSOL Multiphysics, with which the distribution of the internal magnetic field and displacement output characteristics under different conditions are analyzed. The results show that with the number of permanent magnets increasing, the uniformity of the magnetic field is reduced from 44% to 26%, the maximum output displacement decreases from 0.123 mm to 0.114 mm, and the GMM rod stress distribution uniformity is significantly improved.
    11  Multi-parameter energy consumption modeling and prediction of an industrial resistance furnace
    LIN Lihong LI Yulong LI Congbo ZHANG You
    2021, 44(2):107-119. DOI: 10.11835/ji.ssn.1000-582X.2021.02.011
    [Abstract](455) [HTML](1532) [PDF 9.40 M](918)
    Abstract:
    It is difficult to establish an accurate mathematical model of energy consumption for the temperature variation of a resistance furnace due to its nonlinear and large delay characteristics. In order to solve the problem of complexity and not real-time performance of theoretical modeling, a data driven based multi-parameter energy consumption prediction approach of the resistance furnace is developed in this paper. Firstly, the theoretical energy consumption prediction model of the resistance furnace is established by analyzing the energy consumption characteristics of the resistance furnace in the working stage. Then, the particle swarm optimization algorithm is used to optimize the hyper-parameters of support vector regression, and a multi-parameter energy consumption prediction model based on support vector regression is established. Finally, the energy consumption prediction results of support vector regression, gaussian process regression, and adaptive network-based fuzzy inference system models under single parameter and multi-parameter conditions are compared. The experimental results show that the support vector regression multi-parameter energy consumption prediction method based on particle swarm optimization has better prediction effect.
    12  Current research and progress on integrated process planning and scheduling problem
    WEN Xiaoyu WANG Kanghong SUN Haiqiang GAO Liang
    2021, 44(2):120-128. DOI: 10.11835/j.issn.1000-582X.2020.019
    [Abstract](685) [HTML](1363) [PDF 493.12 K](1272)
    Abstract:
    The research of integrated process planning and scheduling (IPPS) is of great significance in the improvement of the overall performance of the manufacturing system. This paper reviews and analyzes the development status of IPPS. The three main modeling methods of IPPS are summarized, and the particularity of the integration of process planning and scheduling in a specific production environment is analyzed. The overview of research on IPPS solution method is summarized from two aspects:single-objective optimization and multi-objective optimization, and the problems in the research of multi-objective IPPS solution method are analyzed. In addition, the research status of the IPPS problem under uncertain disturbances and the IPPS problem for green manufacturing are summarized, and the new problems caused by the IPPS model construction and solution method design in the two cases are analyzed. Based on the above summary and analysis, some directions for future research on IPPS are prospected.

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