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Yueping Chen
Guangdong University of Technology

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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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Abstract

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
Estimation Normal Vector of Triangular Mesh Vertex by Angle and Centroid Weights and its Application Yueping Chen; Jian Gao; Hao Wen; Xin Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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To compute vertex normal of triangular meshes more accurately, this paper presents an improved algorithm based on angle and centroid weights. Firstly, four representational algorithms are analyzed by comparing their weighting characteristics such as angles, areas and centroids. The drawbacks of each algorithm are discussed. Following that, an improved algorithm is put forward based on angle and centroid weights. Finally, by taking the deviation angle between the nominal normal vector and the estimated one as the error evaluation standard factor, the triangular mesh models of spheres, ellipsoids, paraboloids and cylinders are used to analyze the performance of all these estimation algorithms. The machining and inspection operations of one mould part are conducted to verify the improved algorithm. Experimental results demonstrate that the algorithm is effective. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2340
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 Detao Zheng Hao Wen Jian Gao Liangsheng Xu Xin Chen