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        Accuracy analysis and error compensation for Tricept machine tool under load

        Jianzhong Ding,Chunjie Wang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.8

        This paper provides an efficient way to estimate the accuracy performance of the Tricept machine tool under load. Both joint clearances and link flexibility are considered. Clearances of the spherical joints and universal joint are considered, and the small change in link length arisen from clearances and deformation is modeled with the hyperbolic function. The kinetostatic model for accuracy analysis is obtained by balancing the employed load and the elastic forces provided by limbs. Moreover, an error compensation method for the Tricept machine tool under load is presented. The proposed methods are further illustrated and validated using a study case, and the feasibility of the error compensation method is discussed. This paper gives a deep insight into the effects of clearances, flexibility and loads on the accuracy performance of the Tricept-like mechanisms and instructive conclusions are drawn for accuracy improvement.

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        Accuracy analysis of a parallel positioning mechanism with actuation redundancy

        Jianzhong Ding,Chunjie Wang,Hongyu Wu 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.1

        A forward accuracy analysis method based on Lie-group theory and screw theory is proposed to analyze the pose error of parallel mechanisms with actuation redundancy. Both the input uncertainty and components stiffness were considered. The method was applied to study the accuracy performance of a positioning mechanism, which has the potential to be used for the positioning of satellite antenna, camera, astronomical telescope and so on. The advancement of the method is that it models the elastic deformation and passive joint motions together by motion vector and limb stiffness matrix, which greatly simplifies the constraints modeling process. Mean value and standard deviation of the pose errors under different working conditions were obtained by optimal Latin hypercube sampling method, which reduces the sampling size on the premise of ensuring the precision. Finally, the robust optimization was employed to give further insight into the effects of redundant limb and mechanism structure on the accuracy performance of the actuation-redundant mechanism.

      • Concurrent topology optimization of composite macrostructure and microstructure under uncertain dynamic loads

        Jinhu Cai,Zhijie Yang,Chunjie Wang,Jianzhong Ding 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.3

        Multiscale structure has attracted significant interest due to its high stiffness/strength to weight ratios and multifunctional performance. However, most of the existing concurrent topology optimization works are carried out under deterministic load conditions. Hence, this paper proposes a robust concurrent topology optimization method based on the bidirectional evolutionary structural optimization (BESO) method for the design of structures composed of periodic microstructures subjected to uncertain dynamic loads. The robust objective function is defined as the weighted sum of the mean and standard deviation of the module of dynamic structural compliance with constraints are imposed to both macro- and microscale structure volume fractions. The polynomial chaos expansion (PCE) method is used to quantify and propagate load uncertainty to evaluate the objective function. The effective properties of microstructure is evaluated by the numerical homogenization method. To release the computation burden, the decoupled sensitivity analysis method is proposed for microscale design variables. The proposed method is a non-intrusive method, and it can be conveniently extended to many topology optimization problems with other distributions. Several numerical examples are used to validate the effectiveness of the proposed robust concurrent topology optimization method.

      • Development of High-specificity Antibodies against Renal Urate Transporters Using Genetic Immunization

        Xu, Guoshuang,Chen, Xiangmei,Wu, Di,Shi, Suozhu,Wang, Jianzhong,Ding, Rui,Hong, Quan,Feng, Zhe,Lin, Shupeng,Lu, Yang Korean Society for Biochemistry and Molecular Biol 2006 Journal of biochemistry and molecular biology Vol.39 No.6

        Recently three proteins, playing central roles in the bidirectional transport of urate in renal proximal tubules, were identified: two members of the organic anion transporter (OAT) family, OAT1 and OAT3, and a protein that designated renal urate-anion exchanger (URAT1). Antibodies against these transporters are very important for investigating their expressions and functions. With the cytokine gene as a molecular adjuvant, genetic immunization-based antibody production offers several advantages including high specificity and high recognition to the native protein compared with current methods. We fused high antigenicity fragments of the three transporters to the plasmids pBQAP-TT containing T-cell epitopes and flanking regions from tetanus toxin, respectively. Gene gun immunization with these recombinant plasmids and two other adjuvant plasmids, which express granulocyte/macrophage colony-stimulating factor and FMS-like tyrosine kinase 3 ligand, induced high level immunoglobulin G antibodies, respectively. The native corresponding proteins of URAT1, OAT1 and OAT3, in human kidney can be recognized by their specific antibodies, respectively, with Western blot analysis and immunohistochemistry. Besides, URAT1 expression in Xenopus oocytes can also be recognized by its corresponding antibody with immuno-fluorescence. The successful production of the antibodies has provided an important tool for the study of UA transporters.

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