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Detao Zheng
Guangdong University of Technology

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A Review of Geometric Reconstruction Algorithm and Repairing Methodologies for Gas Turbine Components Haidong Wu; Jian Gao; Si Li; Yaohui Zhang; Detao Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Repairing of the used gas turbine components is becoming a challenge due to continual increase in manufacturing costs and the complex geometry. This paper discusses research on the repairing solutions for the damaged ones. The various kinds of geometric reconstruction algorithm for those are introduced selectively from the cross-section of the blade because of its vital roles. However, owing to the limitation of the algorithm, it has been lack of an efficient approach for reconstructing the geometry of a blade. As a result of this study, future research directions are highlighted. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2311
Cavity Vertex Regeneration through Optimal Energy Model for Restoration of Worn Parts Jian Gao; Xiangping Zeng; Xu Zhang; Xin Chen; Detao Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Restroration of worn parts is a key technique in remanufacturing engineering. It is also a popular research topic in the domain of sustainable manufacturing. To tackle the difficult problem of obtaining a reference model for repair of worn parts, this paper proposed a novel approach to regenerate the vertices over the worn cavity. After a brief description of the repair process, this paper focuses on the optimal energy model establishment. Based on the energy model the vertices of the worn cavity can be regenerated. Error calculation of the vertices recreated to the original model is proposed to search the shortest distance. These algorithms proposed were implemented in the repair system through Visual C++6.0. Several examples of worn parts are presented to illustrate the feasibility of the method. The testing result shows that the vertex regenerated through the optimal energy model can satisfy the requirement of accurate geometry regeneration for repair of worn parts. Finally, conclusions are drawn and further research work is discussed. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2479
Error Analysis of Machining Accuracy of Free-form Surfaces Using On-line Inspection Method Yueping Chen; Jian Gao; Hao Wen; Detao Zheng; Xin Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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In this paper error sources existing in the on-line inspection system for numerical control machines are analyzed. A mathematical model of the geometric errors of a three-axis machining center is created and the pretravel variations are obtained in different directions. Then an error compensation is applied to improve the accuracy of the on-line inspection system. A methodology of spatial statistical analysis of machining errors for free-form surfaces is proposed. Through the on-line inspection of a machined workpiece, the measured points and their machining errors are obtained. By analysis of these machining errors using the spatial statistical analysis, the machining errors are decomposed into systematic errors and random errors, which will provide the basis for machining error compensation during the subsequent process. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1969
Precise Pose Alignment through the Combined Method of Differential Evolution and Simplex Algorithm Jian Gao; Liangsheng Xu; Yueping Chen; Xin Chen; Detao Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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In reverse engineering applications, there is a problem of precise alignment from measured data to a CAD model. This paper presents a new method where the measurement points can be precisely aligned with its corresponding CAD model. Initially, the measured data is aligned approximately through a least-square method with the minimum distance principle. Based on this initial alignment result, the precise alignment is completed through the Differential Evolution (DE) algorithm and the Simplex method. The experimental results show that the alignment algorithm proposed in this paper possesses an accuracy of 0.055m and spending less processing time than the genetic algorithm. Therefore, the proposed method is effective for the measured data alignment to the original surface model. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2310
Co-Authors Haidong Wu Hao Wen Jian Gao Liangsheng Xu Si Li Xiangping Zeng Xin Chen Xu Zhang Yaohui Zhang Yueping Chen