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Zhao Youqun,Du Xianbin,Lin Fen,Wang Qiang,Fu Hongxun 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.7
To eliminate the potential risk factors of the conventional inflatable tire, a creative non-pneumatic tire named “ME-wheel” was developed. Based on the analysis of the bearing characteristics, four types of ME-wheel with varying hinge structures and distributions were designed. The static stiffness characteristics of these four ME-wheels were investigated by numerical simulations and experiments. The hyperelasticity and incompressibility of the rubber material were described by the Mooney–Rivlin model, and the multilayer rubber-cord composites were modeled by the rebar layer. The nonlinear finite element model of the ME-wheel, which included nonlinear property of the material, contact condition, and anisotropy of rubber-cord composites, was validated by the load characteristic test. Stiffness characteristic tests of these four types of ME-wheel and a pneumatic tire, including vertical, longitudinal, lateral, and torsional stiffness, were carried out using a low speed flatbed test bench. A sufficient comparison and analysis were made between the experimental data and simulation data. The research results provided some theoretical and technical verification on the performance and structural optimization of the ME-wheel.
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Xinglong Zhang,Youqun Zhao,Wenxin Zhang,Fen Lin,Haiqing Li 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.1
By solving driver’s optimal handling input, this paper presents a novel Lane Changing Assistance System (LCAS) which can provide guidance for driver’s lane changing behavior. In addition, vehicle handling inverse dynamics method is proposed to solve driver’s optimal handling input. Firstly, to recognize driver’s lane changing intention and decrease the false alarm rate of LCAS, a lane changing intention recognition model is established. Secondly, the handling inverse dynamics model is established; and then the inverse dynamics problem is converted into the optimal control problem. Finally, the optimal control problem is converted into a nonlinear programming problem based on GPM; then sequential quadratic programming (SQP) is applied to get the solution. The direct collocation method (DCM) is used as the contrast verification of GPM. The simulation results show that the driver’s optimal handling input can be obtained according to driver’s lane changing intention in the proposed LCAS; and GPM has higher computational accuracy compared with DCM. This method may provide a reference for the research of LCAS and unmanned vehicles.
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Song Chong Zhi,Zhao Youqun,Wang Lu 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.12
Using bionic research based on three types of male side-blotched lizard behavior and multiple survival mechanisms, a co-evolutionaryalgorithm for tri-objective optimization is proposed. This method takes three design objectives as three lizards and maps the design variablesas the lizard population’s chromosomes; three types of lizard self-genetic factors are formed from the chromosomes. Based on thesethree types of lizard behavior, the mapping relationship between a self-adaptive function and the three objective functions is established. A new chromosome is made with the optimal genes. Based on a convergence condition, the optimal chromosome is obtained with multigenerationevolution. Considering road surface damage and ride comfort, it sets an acceleration RMS, with the tire’s relative dynamicload and suspension's maximum dynamic stroke as multi-objective functions, which establishes the tri-objective optimization model. Thecalculation results show the effectiveness and practicability of the proposed method.
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