Welcome to Journal of Beijing Institute of Technology

2019 Vol. 28, No. 3

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Short-Term Traffic Flow Prediction Based on Road Network Topology
Feng Jin, Baicheng Zhao
2019, 28(3): 383-388. doi:10.15918/j.jbit1004-0579.18001
Abstract:
Accurate short-term traffic flow prediction plays a crucial role in intelligent transportation system (ITS), because it can assist both traffic authorities and individual travelers make better decisions. Previous researches mostly focus on shallow traffic prediction models, which performances were unsatisfying since short-term traffic flow exhibits the characteristics of high nonlinearity, complexity and chaos. Taking the spatial and temporal correlations into consideration, a new traffic flow prediction method is proposed with the basis on the road network topology and gated recurrent unit (GRU). This method can help researchers without professional traffic knowledge extracting generic traffic flow features effectively and efficiently. Experiments are conducted by using real traffic flow data collected from the Caltrans Performance Measurement System (PEMS) database in San Diego and Oakland from June 15, 2017 to September 27, 2017. The results demonstrate that our method outperforms other traditional approaches in terms of mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE) and root mean square error (RMSE).
Multi-Object Tracking with Micro Aerial Vehicle
Yufeng Ji, Weixing Li, Xiaolin Li, Shikun Zhang, Feng Pan
2019, 28(3): 389-398. doi:10.15918/j.jbit1004-0579.18064
Abstract:
A simple yet efficient tracking framework is proposed for real-time multi-object tracking with micro aerial vehicles(MAVs). It's basic missions for MAVs to detect specific targets and then track them automatically. In our method, candidate regions are generated using the salient detection in each frame and then classified by an eural network. A kernelized correlation filter(KCF) is employed to track each target until it disappears or the peak-sidelobe ratio is lower than a threshold. Besides, we define the birth and death of each tracker for the targets. The tracker is recycled if its target disappears and can be assigned to a new target. The algorithm is evaluated on the PAFISS and UAV123 datasets. The results show a good performance on both the tracking accuracy and speed.
Compressive Measurement Identification of Linear Time-Invariant System Application in DC Motor
Peng Qiu, Qian Dong, Mingqian Li, Guangjie Zhai, Xueyan Wang
2019, 28(3): 399-409. doi:10.15918/j.jbit1004-0579.18004
Abstract:
In traditional system identification (SI), actual values of system parameters are concealed in the input and output data; hence, it is necessary to apply estimation methods to determine the parameters. In signal processing, a signal withNelements must be sampled at leastNtimes. Thus, most SI methods useNor more sample data to identify a model withNparameters; however, this can be improved by a new sampling theory called compressive sensing (CS). Based on CS, an SI method called compressive measurement identification (CMI) is proposed for reducing the data needed for estimation, by measuring the parameters using a series of linear measurements, rather than the measurements in sequence. In addition, the accuracy of the measurement process is guaranteed by a criterion called the restrict isometric principle. Simulations demonstrate the accuracy and robustness of CMI in an underdetermined case. Further, the dynamic process of a DC motor is identified experimentally, establishing that CMI can shorten the identification process and increase the prediction accuracy.
Mechanical Design and Drive Control of a Novel Dexterous Hand for On-Orbit Servicing
Wencheng Ni, Zhihong Jiang, Hui Li, Bo Wei, Bainan Zhang, Qiang Huang
2019, 28(3): 410-417. doi:10.15918/j.jbit1004-0579.17181
Abstract:
In order to meet the requirements of on-orbit servicing outside the cabin, a flexible, dexterous hand with easy grasping ability and strong loading capacity is designed. The dexterous hand is comprised of three fingers. Each finger is driven by a set of four linkages. Furthermore, two fingers have a set of axial rotational degrees of freedom. In order to achieve the position control and keep griping stability, the dexterous hand adopts a mechanism of hybrid force/position control. In the end, experimental results demonstrates that the on-orbit servicing dexterous hand has great adaptability and operational capability.
Improved SLIC Segmentation Algorithm for Artificial Structure Images
Jianzhong Wang, Pengzhan Liu, Jiadong Shi, Guodong Yan
2019, 28(3): 418-427. doi:10.15918/j.jbit1004-0579.18049
Abstract:
Simple linear iterative cluster(SLIC) is widely used because controllable superpixel number, accurate edge covering, symmetrical production and fast speed of calculation. The main problem of the SLIC algorithm is its under-segmentation when applied to segment artificial structure images with unobvious boundaries and narrow regions. Therefore, an improved clustering segmentation algorithm to correct the segmentation results of SLIC is presented in this paper. The allocation of pixels is not only related to its own characteristic, but also to those of its surrounding pixels.Hence, it is appropriate to improve the standard SLIC through the pixels by focusing on boundaries. An improved SLIC method adheres better to the boundaries in the image is proposed, by using the first and second order difference operators as magnified factors. Experimental results demonstrate that the proposed method achieves an excellent boundary adherence for artificial structure images. The application of the proposed method is extended to images with an unobvious boundary in the Berkeley Segmentation Dataset BSDS500. In comparison with SLIC, the boundary adherence is increased obviously.
Improved Method and Application of EMD Endpoint Continuation Processing for Blasting Vibration Signals
Qing Li, Wenlong Xu, Di Zhang, Dandan Feng, Na Li
2019, 28(3): 428-436. doi:10.15918/j.jbit1004-0579.18070
Abstract:
In order to deal with the non-stationary characteristics of blasting vibration signals and the end issue in the empirical mode decomposition(EMD), an improved endpoint continuation method is proposed. First, the linear continuation method of extreme points is used to determine the extremum of the signal endpoint fast. Secondly, the extreme points of transition section outside the signal ends are obtained by a mirror continuation method of extreme points, and then the envelope and continuation curve of the transition section of the signal are constructed. Lastly, the sinusoid of the stationary section outside the signal is constructed to achieve the continuation curve from the transition section to the stationary section. Based on the "singular extreme points" phenomenon of blasting vibration signal, the negative maxima and positive minimum are eliminated, then the maximum and minimum are guaranteed to appear at intervals. Thus,the number of iterations is reduced and the instability of EMD decomposition is improved. The calculation formula of amplitude, cycle and initial phase are given for the transition section and stationary section outside the signal. The endpoint processing effect of the simulated signal and the measured blasting vibration signal show that the improved endpoint continuation method can suppress the signal endpoint effect well.
Load Shedding Strategy Based on Combined Feed-Forward Plus Feedback Control over Data Streams
Donghong Han, Yi Fang, Daqing Yi, Yifei Zhang, Xiang Tang, Guoren Wang
2019, 28(3): 437-446. doi:10.15918/j.jbit1004-0579.18035
Abstract:
In data stream management systems (DSMSs), how to maintain the quality of queries is a difficult problem because both the processing cost and data arrival rates are highly unpredictable. When the system is overloaded, quality degrades significantly and thus load shedding becomes necessary. Unlike processing overloading in the general way which is only by a feedback control (FB) loop to obtain a good and stable performance over data streams, a feedback plus feed-forward control (FFC) strategy is introduced in DSMSs, which have a good quality of service (QoS) in the aspects of miss ratio and processing delay. In this paper, a quality adaptation framework is proposed, in which the control-theory-based techniques are leveraged to adjust the application behavior with the considerations of the current system status. Compared to previous solutions, the FFC strategy achieves a good quality with a waste of fewer resources.
Trajectory Tracking Strategy for Gliding Hypersonic Vehicle with Aileron Stuck at an Unknown Angle
Haibo Ji, Lei Wang
2019, 28(3): 447-455. doi:10.15918/j.jbit1004-0579.17194
Abstract:
A nonlinear robust trajectory tracking strategy for a gliding hypersonic vehicle with an aileron stuck at an unknown position is presented in this paper. First, the components of translational motion dynamics perpendicular to the velocity are derived, and then a guidance law based on a time-varying sliding mode method is used to realize trajectory tracking. Furthermore, the rotational equations of motion are separated into an actuated subsystem and an unactuated subsystem. And an adaptive time-varying sliding mode attitude controller is proposed based on the actuated subsystem to track the command attitude and the tracking performance and robustness are therefore enhanced. The proposed guidance law and attitude controller make the hypersonic vehicle fly along the reference trajectory even when the aileron is stuck at an unknown angle. Finally, a hypersonic benchmark platform is used to demonstrate the effectiveness of the proposed strategy.
Obstacle Avoidance Method for a Redundant Manipulator Based on a Configuration Plane
Yanhui Wei, Yanfeng Zhao, Jing Liu, Shenggong Hao, Lixue Xu, Qiang Zhu, Anqi Wang
2019, 28(3): 456-468. doi:10.15918/j.jbit1004-0579.18069
Abstract:
This paper presents a novel approach of obstacle avoidance for redundant manipulators, which is challenging with the considerations of the building of universal kinematics, the formation of dynamics, and the generation of trajectories. A universal approach to deal with obstacle avoidance for the redundant manipulator, that is based on the configuration plane, is presented. The paper also examines common serial robot configurations and introduces a method for classification, partitioning, simplification, and forms of expression used in the workspace to define the configuration plane. This relatively new method is combined with a weighted space vector method to match the configuration plane and solve the inverse kinematics problem. The proposed planner is demonstrated with examples, in which the proposed planner is shown to be capable of providing a smoother trajectory.
Perturbation to Noether Quasi-Symmetry and Adiabatic Invariants for Nonholonomic Systems on Time Scales
Chuanjing Song
2019, 28(3): 469-476. doi:10.15918/j.jbit1004-0579.18092
Abstract:
Perturbation to Noether quasi-symmetry and adiabatic invariants for the nonholonomic system on time scales are studied. Firstly, some properties of time scale calculus are reviewed. Secondly, the differential equations of motion for the nonholonomic system on time scales, Noether quasi-symmetry and conserved quantity are given. Thirdly, perturbation to Noether quasi-symmetry and adiabatic invariants, which are the main results of this paper, are investigated. The main results are achieved by two steps, the first step is to obtain adiabatic invariants without transforming the time, and the next is to obtain adiabatic invariants under the infinitesimal transformations of both the time and the coordinates. And in the end, an example is given to illustrate the methods and results.
Particle Swarm Optimization Applied to Some Anti-Windup Problems
Aojia Ma, Lei Zhang, Junfeng Zhao, Yahui Li, Feng Gao
2019, 28(3): 477-490. doi:10.15918/j.jbit1004-0579.17145
Abstract:
The particle swarm optimization (PSO) algorithm is introduced to deal with some open anti-windup problems, i.e., determining the initial condition when applying the iterative algorithm to enlarge the estimate of the domain of attraction, determining the design point in the delayed anti-windup scheme, and determining the design point and the weighting factors in the multi-stage anti-windup scheme. Therefore, the corresponding PSO-based algorithms are proposed. Unlike the traditional methods in which the free design parameters can only be selected by trial and error with the available computational results, the PSO-based algorithms provide a systematic way to determine these parameters. In addition, the algorithms are easy to be implemented and are very likely to find the desirable parameters that further improve the anti-windup closed-loop performances. Simulation results are presented to validate the effectiveness and advantages of the proposed method.
New Channel-Aware Modes for VoIP in 3GPP EVS Codec
Shenghui Zhao, Chongling Rao
2019, 28(3): 491-496. doi:10.15918/j.jbit1004-0579.18006
Abstract:
Aiming at improving rate flexibility of the enhanced voice services (EVS) channel-aware mode for various VoIP applications, two new bit-rate channel-aware modes are proposed in this paper in addition to the existing 13.2 kbit/s mode. Channel-aware mode uses forward error correction by transmitting re-encoded information redundantly for use when the original information is lost or discarded due to late arrival to the receiver. The primary frame bit rate is reduced for the redundant accommodation. A modified quantization scheme is proposed for core encoding regarding the quality degradation. Partial redundant coding is a simplification of that in the existing 13.2 kbit/s channel-aware mode due to the bit constraint. The objective evaluation results of PESQ show that the additional channel-aware modes achieve similar performance in improving the error robustness against missing packets as that of the existing 13.2 kbit/s mode. Multiple bit-rate modes can be dynamically selected in the communication system for more voice services in different bandwidths. On the other hand, optimal allocation based on real-time feedback can adapt to the rapidly-changing network environment as well as possible.
Variation-Aware Task Mapping on Homogeneous Fault-Tolerant Multi-Core Network-on-Chips
Chengbo Xue, Yougen Xu, Yue Hao, Wei Gao
2019, 28(3): 497-509. doi:10.15918/j.jbit1004-0579.18057
Abstract:
A variation-aware task mapping approach is proposed for a multi-core network-on-chips with redundant cores, which includes both the design-time mapping and run-time scheduling algorithms. Firstly, a design-time genetic task mapping algorithm is proposed during the design stage to generate multiple task mapping solutions which cover a maximum range of chips. Then, during the run, one optimal task mapping solution is selected. Additionally, logical cores are mapped to physically available cores. Both core asymmetry and topological changes are considered in the proposed approach. Experimental results show that the performance yield of the proposed approach is 96% on average, and the communication cost, power consumption and peak temperature are all optimized without loss of performance yield.
Micro-Scanning Error Correction Technique for an Optical Micro-Scanning Thermal Microscope Imaging System
Meijing Gao, Ying Han, Qiushi Geng, Yong Zhao, Bozhi Zhang, Liuzhu Wang
2019, 28(3): 510-518. doi:10.15918/j.jbit1004-0579.18012
Abstract:
An error correction technique for the micro-scanning instrument of the optical micro-scanning thermal microscope imaging system is proposed. The technique is based on micro-scanning technology combined with the proposed second-order oversampling reconstruction algorithm and local gradient image reconstruction algorithm. In this paper, we describe the local gradient image reconstruction model, the error correction technique, down-sampling model and the error correction principle. In this paper, we use a Lena original image and four low-resolution images obtained from the standard half-pixel displacement to simulate and verify the effectiveness of the proposed technique. In order to verify the effectiveness of the proposed technique, two groups of low-resolution thermal microscope images are collected by the actual thermal microscope imaging system for experimental study. Simulations and experiments show that the proposed technique can reduce the optical micro-scanning errors, improve the imaging effect of the system and improve the system's spatial resolution. It can be applied to other electro-optical imaging systems to improve their resolution.
Dynamic Characteristics of Lubrication and Wear Prediction of Slipper/Swash-Plate in Axial Piston Pumps
Jichen Zhou, Junjie Zhou, Chongbo Jing, Shihua Yuan, Anlin Luo
2019, 28(3): 519-528. doi:10.15918/j.jbit1004-0579.18027
Abstract:
A novel dynamic model describing the slipper posture of the swash plate in axial piston pumps is proposed, taking into account the hydrodynamic and squeezing effects, which involves three degrees of freedom. The variation in the lubricating film thickness and the slipper tilt are accurately calculated. The influence of hydrodynamic effects and charging pressure on the slipper lubrication is discussed. The minimum film thickness, the overturning angle and the azimuth angle are obtained.Then, the trajectory of minimum thickness on the friction surface of the swash plate is predicted, the accuracy of which can be verified with the abrasion distribution of an actual swash plate. Research results can predict the durability and provide theoretical help for the design of the slipper.
Experimental Study of Churning Losses in Swash Plate Axial Piston Pump
Chongbo Jing, Junjie Zhou, Jichen Zhou
2019, 28(3): 529-535. doi:10.15918/j.jbit1004-0579.18029
Abstract:
The problem of the churning loss in swash plate axial piston machines is investigated through experimental measurement and theoretical analysis. Several works surrounding churning loss in hydraulic components have been proposed in the past, but few have conducted experimental studies and accounted for both dry and wet housing conditions. In this study,a specialized experimental setup is established, which includes a transparent test pump diligently designed for performing various functions of tests. The test pump can work as a real pump without losing any actual features of pump operation. The torque loss in both the dry housing pump and wet housing pump is measured in terms of the shaft speed and its predictive model is also developed analytically. The comparisons between measured and calculated torque loss are presented, showing how speed influences torque loss in both conditions. The advantage/disadvantages of the two cases are summarized. The significance of the test setup is highlighted by verifying the proposed model, which can advance the understanding of energy losses of high speed pumps in future.
Numerical Investigation of Lid-Driven Deep Cavity with Local Grid Refinement of MRT-LBM
Dongdong Wan, Guichao Wang, Songying Chen
2019, 28(3): 536-548. doi:10.15918/j.jbit1004-0579.18030
Abstract:
In the case of lid-driven deep cavity flow, the effects of different resolutions of local grid refinement have been studied in the frame of multiple relaxation times (MRT) lattice Boltzmann method (LBM). In all the cases, the aspect ratio and Reynolds number are set as 1.5 and 3.200, respectively. First, the applied method is validated by comparing it with two reported works, with which agreements are reached. Then, six separate degrees of local grid refinement at the upper left corner, i.e. purely coarse grid, including 1/64, 1/32, 1/16, 1/8, 1/4 refinements of the lattice number in the width direction have been studied in detail. The results give the following indications:① The refinement degrees lower than 1/8 produce similar results; ② For single corner refinement, 1/4 refinement is adequate for clearing the noises in the singularity zone to a large extent;③ New noise around the interface between coarse and fine zones are introduced by local grid refinement. Finally, refinement of entire subzone neighboring the lid is examined to avoid introducing new noises and it has been found effective.
Drag Characteristics Prediction for Wet Multi-Disk Brakes
Tianhong Luo, Zhongtao Li, Fuying Li
2019, 28(3): 549-560. doi:10.15918/j.jbit1004-0579.18041
Abstract:
To improve the characteristics of wet multi-disc brakes (WMDBs), the WMDBs of the drive axles of mining trucks were studied. A model was established to predict the phenomenon of drag characteristics during wet brake non-engagement by considering the combined effect of surface grooves, film shrinkage, and laminar Navier-Stokes (N-S) equations. The model was used to study drag torque and temperature variation of the wet brakes for different volume flows, dynamic viscosities, and friction pair clearances. The simulation results indicated that the peak torque decreased when the clearance of the friction pair increased. Additionally, the peak torque increased when the volume flow increased and when the cooling liquid dynamic viscosity increased. The model was more accurate than a traditional forecasting system when considering the role of surface grooves and oil film shrinkage in actual working conditions.
Hand-Held Surgical Instrument with the Function of Self-Locking for Minimally Invasive Surgery
Mei Feng, Haijun Zhang, Xiaoqin Zhou, Chang Wang, Yong Hu
2019, 28(3): 561-569. doi:10.15918/j.jbit1004-0579.18050
Abstract:
In order to improve the flexibility of the surgical instruments, a wire-driven wrist-like structure is proposed in this paper. The instrument has three degrees of freedom (DOFs) of rotation, yaw, opening and closing. Furthermore, we also acknowledge no coupling motion for each DOF. Moreover, the self-locking motion contributes to sustaining joint posture under external force. A static analysis for the end effector was conducted using the ANSYS software. At the end of this paper, a series of experiments for the prototype was performed. The results revealed that for the same surgical task, the proposed instrument had higher flexibility and the completion time of the operation tasks was obviously less than that of the traditional instrument. The results of the self-locking and operating force test showed that the surgical instruments perform well in maintaining joint posture under the force of 8.2N. The proposed surgical instrument meets the requirements of minimally invasive surgery (MIS).
Numerical Simulation of Motor Vehicles' Courtesy Behavior on Crosswalk Based on Car-Following Model
Baojie Wang, Xiangbei Xue, Xiaoli Xie
2019, 28(3): 570-576. doi:10.15918/j.jbit1004-0579.18062
Abstract:
In observing driver courtesy towards pedestrians at unsignalized crosswalks, a behavioral model was adopted in a simulation based on the GM Car-Following Model. The SIMI Motion Software was used to extract the vehicle operation data from Wenyi South Road and Hanyuan Road in Xi'an City. The parameters of the GM Car-Following Model were calibrated by genetic algorithm. The road simulation environment based on the Car-Following Model was constructed by MATLAB. In the case of no stopping, uniform deceleration avoidance with advance notice, emergency brake avoidance without advance notice, changes such as the displacement of the Car-Following queue, headway, speed, acceleration, and deceleration were analyzed by numerical simulation. The results show that when there is advance notice before the crosswalk, the minimum headway distances of Car1-Car2, Car2-Car3, Car3-Car4 and Car4-Car5 are 7.09 m, 7.38 m, 7.65 m, 7.91 m, and the average rates of change of the headway during deceleration are 0.78 m/s, 0.74 m/s, 0.71 m/s, 0.68 m/s respectively; in the absence of advance notice before the crosswalk, the minimum headway distances of Car1-Car2, Car2-Car3, Car3-Car4 and Car4-Car5 are 7.28 m, 7.75 m, 8.19 m, 8.59 m, and the average rates of change of the headway during deceleration are 1.57 m/s, 1.25 m/s, 1.04 m/s, 0.96 m/s, respectively. Therefore, in order to effectively prevent the occurrence of vehicle rear-end events, it's necessary to set traffic signs and markings on the preceding section of the intersection or road exhibiting behavioral comity.
Grey Relational Analysis Coupled with Principal Component Analysis Method For Optimization Design of Novel Crash Box Structure
Shuang Wang, Dengfeng Wang
2019, 28(3): 577-584. doi:10.15918/j.jbit1004-0579.18080
Abstract:
Crashworthiness and lightweight optimization design of the crash box are studied in this paper. For the initial model, a physical test was performed to verify the model. Then, a parametric model using mesh morphing technology is used to optimize and decrease the maximum collision force (MCF) and increase specific energy absorption (SEA) while ensure mass is not increased. Because MCF and SEA are two conflicting objectives, grey relational analysis (GRA) and principal component analysis (PCA) are employed for design optimization of the crash box. Furthermore, multi-objective analysis can convert to a single objective using the grey relational grade (GRG) simultaneously, hence, the proposed method can obtain the optimal combination of design parameters for the crash box. It can be concluded that the proposed method decreases the MCF and weight to 16.7% and 29.4% respectively, while increasing SEA to 16.4%. Meanwhile, the proposed method in comparison to the conventional NSGA-Ⅱ method, reduces the time cost by 103%. Hence, the proposed method can be properly applied to the optimization of the crash box.
Computer Aided Design Technology for Convex Faceted Gem Cuts Based on the Half-Edge Data Structure
Linhong Xu, Xiangnan Li, Jianhua Rao, Yuan Han, Zhipeng Li, Jichun Li
2019, 28(3): 585-597. doi:10.15918/j.jbit1004-0579.18053
Abstract:
Aiming to increase the efficiency of gem design and manufacturing, a new method in computer-aided-design (CAD) of convex faceted gem cuts (CFGC) based on Half-edge data structure (HDS), including the algorithms for the implementation is presented in this work. By using object-oriented methods, geometrical elements of CFGC are classified and responding geometrical feature classes are established. Each class is implemented and embedded based on the gem process. Matrix arithmetic and analytical geometry are used to derive the affine transformation and the cutting algorithm. Based on the demand for a diversity of gem cuts, CAD functions both for free-style faceted cuts and parametric designs of typical cuts and visualization and human-computer interactions of the CAD system including two-dimensional and three-dimensional interactions have been realized which enhances the flexibility and universality of the CAD system. Furthermore, data in this CAD system can also be used directly by the gem CAM module, which will promote the gem CAD/CAM integration.
Walking Stability Control Method for Biped Robot on Uneven Ground Based on Deep Q-Network
Baoling Han, Yuting Zhao, Qingsheng Luo
2019, 28(3): 598-605. doi:10.15918/j.jbit1004-0579.18059
Abstract:
A gait control method for a biped robot based on the deep Q-network (DQN) algorithm is proposed to enhance the stability of walking on uneven ground. This control strategy is an intelligent learning method of posture adjustment. A robot is taken as an agent and trained to walk steadily on an uneven surface with obstacles, using a simple reward function based on forward progress. The reward-punishment (RP) mechanism of the DQN algorithm is established after obtaining the offline gait which was generated in advance foot trajectory planning. Instead of implementing a complex dynamic model, the proposed method enables the biped robot to learn to adjust its posture on the uneven ground and ensures walking stability. The performance and effectiveness of the proposed algorithm was validated in the V-REP simulation environment. The results demonstrate that the biped robot's lateral tile angle is less than 3° after implementing the proposed method and the walking stability is obviously improved.
Optimization of Processing Parameters of Power Spinning for Bushing Based on Neural Network and Genetic Algorithms
Junsheng Zhao, Yuantong Gu, Zhigang Feng
2019, 28(3): 606-616. doi:10.15918/j.jbit1004-0579.18063
Abstract:
A neural network model of key process parameters and forming quality is developed based on training samples which are obtained from the orthogonal experiment and the finite element numerical simulation. Optimization of the process parameters is conducted using the genetic algorithm (GA). The experimental results have shown that a surface model of the neural network can describe the nonlinear implicit relationship between the parameters of the power spinning process:the wall margin and amount of expansion. It has been found that the process of determining spinning technological parameters can be accelerated using the optimization method developed based on the BP neural network and the genetic algorithm used for the process parameters of power spinning formation. It is undoubtedly beneficial towards engineering applications.
Dynamic Shafting Alignment Algorithms Considering Sensitivity Analysis and Its Application
Chao Wang, Luyi Lu, Kun Wang, Jianlan Li
2019, 28(3): 617-625. doi:10.15918/j.jbit1004-0579.18074
Abstract:
A method for dynamic alignment calculation of a large turbogenerator shafting is proposed. The method can analyze bearing load and bearing load sensitivity. Shafting alignment is made up of two parts:static alignment and dynamic alignment. Static alignment forms the basis of dynamic alignment, its mathematical model is deduced by transfer matrix method, the shafting static characteristic parameters under specific alignment installation requirements were obtained afterwards. Based on superposition method, bearing sensitivity analysis is performed to find the impact of slight bearing elevation change of the static alignment result. Above static alignment, dynamic shafting alignment considers the internal geometry of bearing under rotating state, static Reynolds equation is solved by the finite difference method and the relative position relationship of the center of journal and bearing are obtained. For static characteristic parameters calculated by static alignment and bearing sensitivity analysis, the calculation accuracy is verified by finite element software. The alignment model and codes in this paper can be a tool for the installation and safety analysis of large-scale shafting with three-point or four-point supports.
Robust Topology Optimization of Vehicle Suspension Control Arm
Xiaokai Chen, Cheng Zhang, Qinghai Zhao
2019, 28(3): 626-634. doi:10.15918/j.jbit1004-0579.18079
Abstract:
A robust topology optimization design framework is developed to solve lightweight structural design problems under uncertain conditions. To enhance the calculation accuracy and flexibility of the statistical moments of robust analysis, number theory integral method is applied to sample point selection and weight assignment. Both the structure topology optimization and number theory integral methods are combined to form a new robust topology optimization method. A suspension control arm problem is provided as a demonstration of robust topology optimization methods under loading uncertainties. Based on the results of deterministic and robust topology optimization, it is demonstrated that the proposed robust topology optimization method can produce a more robust design than that obtained by deterministic topology optimization. It is also found that this new approach is easy to apply in the existing commercial topology optimization software and thus feasible in practical engineering problems.
Efficient Grinding Method for Face Gear with Long Radius Disk Wheel
Yanzhong Wang, Xiaomeng Chu, Guoying Su, Weiqiang Zhao, Yueming He, Long Wu
2019, 28(3): 635-643. doi:10.15918/j.jbit1004-0579.18087
Abstract:
In order to improve the machining efficiency of the dish wheel grinding face gear, two changes are proposed:a disk wheel grinding face gear with a long radius and a multi-axis movement optimization method for tooth surface correction. Based on the grinding principle of face gears, the equation of the long radius disk wheel is deduced. Based on the structure of the machining tool, the tooth surface equations of the face gear shaped by the long radius disk wheel are established. Furthermore, an optimization model of face gear tooth surface correction is established, and the machine tool motion optimization of face gear tooth surface correction is completed; Finally, a long radius disk wheel grinding face gear test is performed. After the face gear tooth surface correction, the maximum value of the tooth surface deviation is reduced from 180 μm to 16 μm which verified the correctness of the machining method.
Energy Cycle Insingle Degree of Freedom Conservative Vibration Isolation Systems
Gaofeng Guan, Dengfeng Xu, Yu Zhu, Qiang Yu, Qiang Li
2019, 28(3): 644-650. doi:10.15918/j.jbit1004-0579.18149
Abstract:
To obtain a longer natural period in single degree of freedom(SDF) conservative vibration isolation systems, many scholars have proposed different methods. This paper uncovers a clockwise energy cycle existing in a mass-spring system, in which the potential energy and kinetic energy convert with each other, and the natural period is determined by the magnitude of the energy cycle. Compared to water flow inside a pipe, the previous methods can be consolidated into two methods to make the energy cycle narrower; one is to optimize the parameters directly, the other is to indirectly add an anticlockwise energy cycle to the original one. The anticlockwise energy cycle has the characteristic of gravitational potential energy or elastic potential energy that reduces with displacement. The highly abstract method can provide a better optimization tool to design a practice system.
Modification of Longitudinal Modulus of 3D Full Five Directional Braided Composite Materials Base on Energy Theory
Apeng Dong, Shu Li, Wenguo Zhu, Jing Pu
2019, 28(3): 651-658. doi:10.15918/j.jbit1004-0579.18043
Abstract:
The aim of this paper is to investigate the longitudinal modulus of three dimensional full five directional (3Df5d) braided composite. First, the analytical model of the internal unit cell is established based on its topological structure. Then, according to the intrinsic relation of different cells, the axial moduli of internal, surface and corner cells are systematically deduced, and the influence of corner-cell periodic discontinuity on the moduli is also analyzed. Finally, considering the actual shape of axial yarns after consolidation, the longitudinal moduli of the different cells are modified based on energy theory. The technology factorλis also proposed in this modification. The results show that the axial mechanical properties of this material can be strongly designable. The straightness of the axial yarns greatly affects the longitudinal modulus. Technology factorλis between 1 to 2, corresponding to the minimum and the maximum modulus, respectively.
Comparative Proteomics Based on18O Labeling to Evaluate the Hepatotoxicity of Tris (2,3-dibromopropyl) Isocyanuratein Rats
Yu Li, Xuefei Lü, Yuanzhan Yang, Yulin Deng
2019, 28(3): 659-666. doi:10.15918/j.jbit1004-0579.18045
Abstract:
Detecting protein expression levels in organisms exposed to environmental pollutants can help us understand the action mechanism of toxicity. In the present study, adult female Sprague-Dawley (SD) rats received a consecutive intraperitoneal injection of tris(2,3-dibromopropyl) isocyanurate (TBC) for seven days, and the16O/18O labeling comparative proteomic approach was used to study the change of liver proteome in these rats. Thirty six differential proteins were identified between the control group and the high-dose-exposed group (8 mg/kg), of which, twenty eight proteins were down-regulated and eight proteins were up-regulated. Bioinformatics analysis revealed that most of the differential proteins were related with the metabolic and cellular processes. In addition, the contents of malondialdehyde (MDA), catalase (CAT), and glutathione (GSH) in liver were measured to evaluate the oxidative stress status induced by TBC exposure. Together, these findings showed that TBC might be toxic to liver by disrupting metabolic process and apoptosis. The results might provide a better insight into the mechanism of toxicity induced by TBC.
Improvement of Toughness of UHMWPE/PP Blends
Feixiang Guo, Hao Jiang, Hui Lü, Yanhua Yin
2019, 28(3): 667-674. doi:10.15918/j.jbit1004-0579.18055
Abstract:
Ultra-high molecular weight polyethylene (UHMWPE) was blended with polypropylene (PP) in order to ensure good processing. Inorganic rigid particles were also used to toughen UHMWPE/PP blends. CaCO3and a compound additive containing heat mixed polyethylene glycol 2000 and white diatomite were added to the blends. The crystalline, surface morphology and mechanical properties of the blends were investigated comprehensively. The toughness of the material is effectively improved. By contrast, the compound additive had a better result. When the content of additive was 15%, the elongation at the break increased by 279.2% and the fracture energy increased by 343.8% compared to the original samples.
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