Papers by Author: Bing Kuang

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Authors: Hui Jing, Cong Li, Bing Kuang, Mei Fa Huang, Fu Yun Liu
Abstract: To accelerate the development of new product, one important method is to use the information of the existed products. In this paper, Fuzzy C-Means clustering method (FCM) is proposed to retrieve the desired model in the given model database. In the retrieval process, first, the shape distribution histograms of the model are established and transformed into the proper format of FCM. Then, the shape distribution histograms of the model are served as inputs of FCM and classified into several groups by this algorithm. Last, all the models that belong to the classification of the query model are returned as the retrieval results. To validate the proposed method, a case study is presented. The results show that the result of proposed method is better than that of Shape Distribution. Thus, this method is suitable for 3D mechanical models retrieval.
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Authors: Mei Fa Huang, Xiong Cheng, Hui Fen Liu, Jiang Tai Huang, Bing Kuang
Abstract: In order to build the software evaluation and testing platform for surface topography measuring device and related enterprise, it is urgent to exploit the surface topography measurement and evaluation standard software application system. This paper proposes a novel method of surface topography design software base on exiting international standards. The method is introduced to obtain the reference line of surface profile. According to the reference line of surface roughness defined by the related standards, the functional evaluation parameters of surface characteristics were calculated. The procedure in designing the graphical user interface (GUI) is given based on the MATLAB software platform. This method realizes the software system that can evaluate the parameters of surface topography. The experimental analysis results show that the surface topography functional evaluation software using MATLAB has simple structure and reliable performance.
729
Authors: Ying Di Li, Bing Kuang, Juan Liu
Abstract: Unreasonable parameters may lead to a phenomenon of the numerical instability in evolutionary structural optimization method (ESO). In this paper the improved SIMP-based ESO method for the structural compliance sensitivity is presented to solve the problem of checkerboard pattern. The method depends on the sensitivity analysis results that indicate the contribution of each unit for the whole structural performance to delete and to add elements. At the same time, the method in combination with a sensitivity redistribution technology of controlling checkerboard pattern is used to realize that each element’s contribution or impact factor of the whole structural performance has a smooth transition. The instance shows that the method is reasonable and different parameters will affect the optimized results. The optimal values of parameters can be seen obviously finally.
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Authors: Hui Jing, Cong Li, Fu Yun Liu, Bing Kuang
Abstract: Heavy truck needs to use the vibration reduction technology to improve its quality. Nowadays, it is a useful and effective way for vibration reduction that by employing the proper Powertrain Mounting Systems (PMS) to reduce the vibration. One useful method to develop more effective mounting systems is through optimization techniques. Sequential Quadratic Programming (SQP) is an effective optimization technique. In this paper, design optimization of powertrain mounting system based on SQP method for vibration control is presented. The optimization objective is to find the highest decoupling ratio of the each mount while selecting the stiffness and orientations of individual mount. The constraints are imposed to keep the desired decoupled ratio in each orientation and the frequency corresponding to the decoupled ratio. A case study is given to validate the proposed method. The result shows that the value of optimized system, such as decoupling ratio, is improved significantly. Therefore, the method proposed in this paper is effective for the optimization of powertrain mounting system.
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