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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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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

OLED Defect Inspection System Development through Independent Component Analysis Zhiliang Wang; Jian Gao; Chuanxia Jian; Yu Cen; 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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Organic Light Emitting Displays (OLED) is a new type of display device which has become increasingly attractive and popular. Due to the complex manufacturing process, various defects may exist on the OLED panel affecting the quality and life of the display panels. These defects have the characteristics of fuzzy boundaries, irregular in shape, low contrast with background and especially, they are mixed with the pixel texture background increasing the difficulty of a rapid recognition. In this paper, we proposed an approach to detect the defects based on the model of independent component analysis (ICA). The ICA model is applied to a perfect OLED image to estimate its corresponding independent components (ICs) and create the de-mixing matrix. Through estimation and determination of a proper ICi row vector of the faultless image, a new de-mixing matrix can be generated which constitutes only uniform information and is then applied to reconstruct the texture background of source OLED images. Through the operation of subtraction of the reconstructed background from the source images and the binary segmentation, the defects can be detected. Based on the algorithms, a defect detection system for the OLED panels was implemented and the testing work was performed in this study. The testing results show that the proposed method is feasible and effective. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1968

Digital Control of Bonding Force for Gold Wire Bonding Machine Xiaochu Wang; Zhongjun Zhu; Jian Gao; Xin Chen; Yonggang Wu
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 order to digitally control the bonding force of a wire bonder precisely, this paper uses a DC solenoid as a force source, and by controlling the solenoid’s current, which causes the electromagnetic force, we can control the bonding force that capillary applies. The bonding force control system in this paper is composed of PC (Personal Computer) and hypogyny MCU (Micro Controller Unit), which communicate using a RS485 interface. The digital value of a given bonding force is given by the PC to the MCU. By comparing the sampling current of the solenoid, and through PID regulation, D/A converter of the digital potentiometer and the solenoid driver circuit, the half-closed loop control system of bonding force is accomplished. Tuning of the PID parameters is accomplished with fuzzy adaptive control theory and simulated by Matlab simulink. The control system is tested by comparing the desired bonding force and the force actually applied and examming the relationship between bonding quality and bonding force. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2306

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

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

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