Hubei Key Laboratory of Advanced Technology for Automotive Components

Wuhan, China

Hubei Key Laboratory of Advanced Technology for Automotive Components

Wuhan, China
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Ma X.,Southwest University | Ma X.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Zhai Y.,Southwest University | Xie S.,Southwest University
Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics | Year: 2017

Equations of motion for multibody system with holonomic constraints in Cartesian absolute coordinates modeling method are index 3 differential-algebraic equations (DAEs). It is high index problem for numerical integration of index 3 DAEs. The index can be reduced to 2 by taking the derivative of position constraint equations, and velocity constraint equations can be obtained. During the integration of index 3 equations of motion, the velocity constraint equations are violated, and there are some problems in the integration of high index DAEs. Firstly, HHT (Hilber-Hughes-Taylor) direct integration method is used to the numerical integration of index 2 equations of motion. The velocity constraint equations involved in the integration, and they are satisfied in the view of computer precision. However, the position constraint equations are violated. Secondly, in order to eliminate the violation, the correction method based on Moore- Penrose generalized inverse theory is adopted. HHT method with constraints violation correction for index 2 equations of motion is the combination of HHT and correction method. There are no position and velocity constraints violation during the integration in the view of computer precision. No new unknown variables are introduced, and the quantity of equations in nonlinear equations from discretization is the same as index 2 equations of motion. The new integration method is validated by numerical experiments. In addition, some characteristics of HHT method, such as controlled numerical damping and second-order accuracy, are persisted by the new integration method. Finally, the quantity of nonlinear equations from discretization and computational efficiency are compared with some other methods. The advantages of the new method are illustrated. © 2017, Editorial Office of Chinese Journal of Theoretical and Applied Mechanics. All right reserved.

Zhu X.,Shanghai Maritime University | Zhang H.,Beihang University | Yang B.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Zhang G.,Shanghai Maritime University
Mechanical Systems and Signal Processing | Year: 2018

In order to improve oscillation damping control performance as well as gear shift quality of electric vehicle equipped with integrated motor-transmission system, a cloud-based shaft torque estimation scheme is proposed in this paper by using measurable motor and wheel speed signals transmitted by wireless network. It can help reduce computational burden of onboard controllers and also relief network bandwidth requirement of individual vehicle. Considering possible delays during signal wireless transmission, delay-dependent full-order observer design is proposed to estimate the shaft torque in cloud server. With these random delays modeled by using homogenous Markov chain, robust H∞ performance is adopted to minimize the effect of wireless network-induced delays, signal measurement noise as well as system modeling uncertainties on shaft torque estimation error. Observer parameters are derived by solving linear matrix inequalities, and simulation results using acceleration test and tip-in, tip-out test demonstrate the effectiveness of proposed shaft torque observer design. © 2017 Elsevier Ltd

Yang Y.,Wuhan University of Technology | Yang Y.,TU Darmstadt | Yang Y.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Vormwald M.,TU Darmstadt
International Journal of Fatigue | Year: 2017

An algorithm based on linear elastic fracture mechanics for three-dimensional fatigue crack growth simulation under non-proportional mixed-mode loading is proposed in the present paper. The crack growth behavior in thin-walled, hollow cylinders with a notch under combined non-proportional cyclic tension and torsion loadings are investigated with the finite element program ABAQUS and a 3D fracture analysis software FRANC3D. Different mixed-mode crack path prediction criteria are evaluated to estimate the crack growth direction. Fracture mode transition is observed, some influence factors are discussed. Crack growth cycles calculated based on the effective stress intensity factors satisfactorily match the experimental data for specimens tested under lower loading levels. © 2017 Elsevier Ltd

Wang L.,Wuhan University of Technology | Qian D.,Wuhan University of Technology | Guo J.,Wuhan University of Technology | Pan Y.,Wuhan University of Technology | Pan Y.,Hubei Key Laboratory of Advanced Technology for Automotive Components
Advances in Mechanical Engineering | Year: 2013

AISI 4140 alloy steel is widely applied in the manufacture of various parts such as gears, rams, and spindles due to its good performance of strength, toughness, and wear resistance. The former researches most focused on its deformation and recrystallization behaviors under high temperature. However, the evolution laws of austenite grain growth were rarely studied. This behavior also plays an important role in the mechanical properties of parts made of this steel. In this study, samples are heated to a certain temperature of 1073 K, 1173 K, 1273 K, and 1373 K at a heating rate of 5 K per second and hold for different times of 0 s, 120 s, 240 s, 360 s, and 480 s before being quenched with water. The experimental results suggest that the austenite grains enlarge with increasing temperature and holding time. A mathematical model and an application developed in Matlab environment are established on the basis of previous works and experimental results to predict austenite grains size in hot deformation processes. The predicted results are in good agreement with experimental results which indicates that the model and the application are reliable. © 2013 Lin Wang et al.

Zhang H.J.,Wuhan University of Technology | Yang B.,Hubei key laboratory of advanced technology for automotive components
Applied Mechanics and Materials | Year: 2014

This study constitutes an empirical fleet with electric vehicles (EV) and conventional vehicles (CV) which used by a large number of test participants who have different travel mileage to research the fuel-saving efficiency of EVs under daily travel mode within six months. Experimental results show that there is a great difference in energy consumption when EV running under different average temperatures and seasons. During summer (high temperature) and winter (low temperature) the energy consumption is bigger and the average electric consumption of 100-kilometer is 12.3 kWh/100km. The fuel-saving efficiency of EV in Tianjin empirical test is 66.7% and which is 74.8% in ten typical cities in China. EV has better fuel-saving effect in the whole country. The fuel-saving efficiency in working-days and rest-days is 80.3% and 42.2% respectively. EV has the best fuel-saving effect in working-days. © (2014) Trans Tech Publications, Switzerland.

Li X.Y.,Wuhan University of Technology | Li X.Y.,Hubei Key Laboratory of Advanced Technology for Automotive Components
Applied Mechanics and Materials | Year: 2014

The unbalanced masses of wheel have an important effect on the performance of the car. There we use the ADAMS software to establish the kinetic model of a wheel about the 1/4 suspension, and do the vibration analysis of unbalanced masses to a single wheel by the modular of ADAMS/Vibration. © (2014) Trans Tech Publications, Switzerland.

Qian D.,Wuhan University of Technology | Qian D.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Qian D.,Huazhong University of Science and Technology | Peng Y.,Wuhan University of Technology | Peng Y.,Hubei Key Laboratory of Advanced Technology for Automotive Components
Journal of Materials Engineering and Performance | Year: 2015

The deformation process and inter-pass time of hot working are always accompanied by complicated microstructural evolution. As a kind of low alloy steels with good malleability, Q345E steel is widely used. The specimens of Q345E steel were heated to 1123, 1223, 1323, 1423, and 1523 K and held for 0, 120, 240, 360, and 480 s, respectively, on Gleeble-3500 thermo-mechanical simulator to develop the austenite grain growth equation of Q345E steel. In addition, the ‘single-pass hot compression tests,’ ‘double-pass hot compression tests,’ and ‘single-pass hot compression and thermal insulation tests’ at temperature from 1123 to 1423 K with the strain rate from 0.01 to 10 s−1 were carried out on Gleeble-3500 thermo-mechanical simulator to investigate the behavior of dynamic recrystallization (DRX), meta-dynamic recrystallization (MDRX), and static recrystallization (SRX), and to establish the mathematical equations of DRX, MDRX, and SRX, which can predict the volume fraction of recrystallization and grain size after recrystallization. The result of error analysis and a 2D finite element simulation model during hot upsetting verifies that the experimental data agree well with the predicted values calculated by these mathematical equations, which indicates that the established mathematical equations can be applied to accurately predict the microstructural evolution of Q345E steel during hot deformation. © 2015, ASM International.

Guo W.,Wuhan University of Technology | Guo W.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Hua L.,Wuhan University of Technology | Hua L.,Hubei Key Laboratory of Advanced Technology for Automotive Components | And 2 more authors.
International Journal of Advanced Manufacturing Technology | Year: 2014

This paper deals with minimization of sink marks occurring behind the rib in plastic injection molding. In terms of rib structure and injection processing parameters, a theoretical analysis model was created. Meanwhile, finite element flow analysis with design of experiments (DOE) and genetic algorithm (GA) was integrated. Values of sink mark depth depend on design variables and technological parameters. Out of all, the four most influential variables, viz., rib thickness, mold temperature, melt temperature, and coolant temperature, were selected for optimization. The mathematic relation between sink mark depth and variables was established by conducting a set of FE analyses at various combinations of variables based on central composite design (CCD). Furthermore, the influence incidence of each factor and interaction between each variable on sink marks were investigated. The prediction model of sink marks was effectively coupled with GA for optimization of variables to minimize the sink depth. Results of the contrast analysis indicated that the proposed methodology could be used effectively in minimizing sink mark depth and parameter optimization design. © 2014 Springer-Verlag London.

Xie J.L.,Hubei Key Laboratory of Advanced Technology for Automotive Components
Applied Mechanics and Materials | Year: 2014

The Thermoelectric Generator (TEG) recovering waste heat from the exhaust has became a potential technical issue, due to its characters of pollution-free, no moving parts, reliability and high efficiency. There exist arrangement on the chassis and the exhaust backpressure of whole system will increase of these two problems, when integrating TEG in the car of TEG and the muffler is to integrate the thermoelectric module on the surface muffler, it can effectively reduce the size of TEG, also reduce its weight and structural complexity. It also reduced the backpressure of TEG, meanwhile solved the compatibility issues with other components of exhaust system. The structural integration laid the foundation to achieve the large-scale use of thermoelectric materials in the car. © (2014) Trans Tech Publications, Switzerland.

Yao J.H.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Wang Z.R.,Hubei Key Laboratory of Advanced Technology for Automotive Components | Lu Q.,Shanghai Automotive Industry Corporation
Advanced Materials Research | Year: 2014

In this research, a virtual cab package model had been established in CATIA which was used for driving posture prediction in RAMSIS. 40 cab package schemes and the corresponding driving postures could be acquired by adjusting the parameters of the steering wheel, the clutch pedal and the seat. The quantitative analysis between cab package parameters and driving posture was researched using regression method. And the regression functions that clearly express the relationship between them were concluded, which could be used for directing the design and optimization of the cab package schemes. © (2014) Trans Tech Publications, Switzerland.

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