Foshan Nanhai Zhongnan Machinery Co.

Foshan, China

Foshan Nanhai Zhongnan Machinery Co.

Foshan, China
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Peng Y.-H.,South China University of Technology | Guan Y.-S.,South China University of Technology | Zhang X.-M.,South China University of Technology | Jiang H.,South China University of Technology | And 4 more authors.
Zhendong yu Chongji/Journal of Vibration and Shock | Year: 2012

In order to satisfy the dynamic and static performance requirement of a machining center and minimize its weight, a composite optimization method was proposed to study design of a machining center with multi-variable, multi-constraint and multi-objective. By combining finite element analysis with modal test, the dynamic behavior of each big part of the center was analyzed to verify the correctness of the finite element model. Then, their maximum deformation and stress were obtained with a static analysis based on the finite element model. Taking compliance as a goal, topologic optimization was adopted to design the framework shape of column structures; taking natural frequency as a goal, adaptive dynamic optimization method based on a unit structure was used to design rib structures of the machining center; taking mass and natural frequency as goals, response surface methodology was used to determine the optimal size of the structure of each part. Finally, the dynamic and static performance of the whole center was analyzed after all optimized parts of the machining center were assembled. The analysis results showed that the weight of the maching center is reduced about 4.9%, from 12749 kg to 12127 kg, the proposed method has higher precision and stronger practicability.


Peng Y.,South China University of Technology | Zhu H.,South China University of Technology | Jiang H.,South China University of Technology | Gong X.,South China University of Technology | And 7 more authors.
Jixie Qiangdu/Journal of Mechanical Strength | Year: 2013

To obtain accurate static and dynamic characteristics of five main components of machining center, an approach based on finite element analysis and modal test is proposed and illustrated by taking column and spindle box for example. Firstly, some finite element analysis and modal tests are carried out, and comparison of their results, shows their good agreement, which verified the accuracy of models. Meanwhile, the natural frequencies and mode shapes of main components are also obtained. Then the static analysis is performed by using the same analysis model, through which the maximum stress and deformation data of each component were obtained. The results clearly provide reliable basis and constraints of size and topology optimization of machining centers.


Jiang H.,South China University of Technology | Guan Y.,South China University of Technology | Qiu Z.,South China University of Technology | Zhang X.,South China University of Technology | And 2 more authors.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2011

In order to satisfy the performance requirement of the dynamic and static stiffness and light weight of a machining centre, a method of multi-objective optimization driven by the first natural frequency and mass is proposed. Modal parameters are identified by using a comprehensive approach based on modal test and finite element analysis. The appropriate structural finite element analysis samples in design space are selected by using the central composite design (CCD) experiment method. Quadratic polynomials are employed to construct response surface (RS) model, which reflects the relationship between design inputs and structural response outputs, according to the response outputs of these samples obtained by analyzing the dynamic and static characteristics of the machining centre at these samples with the software ANSYS. Well-distributed samples are generated in the design space by shifted Hammersley sampling method. The prominent points are selected as initial samples. The goal of getting higher first natural frequency and lighter weight is reached and the Pareto optimal solution set is obtained by the multi-objective genetic algorithm in the optimization. Through the optimization, the mass of the machining center is decreased by 6.58% under the condition of ensuring the dynamic and static performance. The results show the high precision and strong engineering practicability of the proposed optimization method. © 2011 Journal of Mechanical Engineering.

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