<b>Special Issue on Recent Advances in Engineering Innovation (Guest Editors: Wen-Hsiang Hsieh, Van-Tsai Liu & Young-Long Chen)</b> http://nopr.niscpr.res.in/handle/123456789/18996 2026-10-10T01:13:09Z 2026-10-10T01:13:09Z Hsieh, Wen-Hsiang http://nopr.niscpr.res.in/handle/123456789/19061 2016-07-20T06:26:53Z 2013-06-01T00:00:00Z

Title: Kinetostatic and mechanical efficiency studies on cam-controlled planetary gear trains (Part II) – Design and experiment Authors: Hsieh, Wen-Hsiang Abstract: The aim of this study is to verify the validity of the proposed approaches for kinetostatic and mechanical efficiency analyses reported in Part I. The detailed procedure of the analyses is illustrated with an example. Furthermore, an experimental setup is built to validate the theoretical analysis. The experimental results show that the theoretical analysis agrees well with the experimental testing. Therefore, the proposed approaches can be applied effectively to the kinetostatic and mechanical efficiency analyses of CCPGTs. Page(s): 199-204

2013-06-01T00:00:00Z Ou, Chien-Min Hwang, Wen-Jyi Yang, Ssu-Min http://nopr.niscpr.res.in/handle/123456789/19060 2016-07-20T06:35:24Z 2013-06-01T00:00:00Z

Title: FPGA-based online learning hardware architecture for kernel fuzzy c-means algorithm Authors: Ou, Chien-Min; Hwang, Wen-Jyi; Yang, Ssu-Min Abstract: This paper presents a novel embedded system for the online training of kernel fuzzy c-means (KFCM) algorithm. A hardware architecture capable of accelerating the KFCM training process is proposed. The architecture is used as a coprocessor in the embedded system. It consists of efficient circuits for the computation of kernel functions, membership coefficients and cluster centers. In addition, the usual iterative operations for updating the membership matrix and cluster centers are merged into one single updating process to evade the large storage requirement. Experimental results show that the proposed solution is an effective alternative for image segmentation with low computational cost and low segmentation error rate. Page(s): 225-231

2013-06-01T00:00:00Z Sun, Ming-Chao Tzou, Gow-Yi Zheng, Liang-An http://nopr.niscpr.res.in/handle/123456789/19059 2016-07-20T06:35:03Z 2013-06-01T00:00:00Z

Title: Processing animation simulation and FEM analysis of multi-stage cold forging of stainless automotive battery fastener Authors: Sun, Ming-Chao; Tzou, Gow-Yi; Zheng, Liang-An Abstract: The study proposes processing animation simulation, FEM analysis, and experimental verification of multi-stage forging of stainless automotive battery fastener. The processing animation simulation can provide the realistic motions for each pass to realize how to work for the front punch and die. Stainless automotive battery fastener requires high dimension precision and narrow tolerance. In order to save the developing cost and accumulate more production design experiences, CAD/CAE technology has been used in multi-stage cold forging with five stages to shorten our developing cycle time. In this paper, the CAD drawing is made by Inventor 3D software, then import the STL file to DEFORM-3D software to do the settings of pre-process and simulation analysis. Effective stress, effective strain, velocity field, and forging force have been shown in this study. Finally, the actual manufacture measurement results compares with simulation datum to verify the analysis acceptance. After comparing the FEM simulation results with actual forming measurements, the error rate of washer diameter is increased in fourth stage. Although the measurement results are still in tolerance, the future work is to decrease the error rate through optimizing the mold design of fourth stage. The verification is performed to reduce the error rate according to the research method proposed in the study. On the other hand, the mold life in the actual forming is found to be easily damaged in the fifth stage. In the future, production improvement should be done through modifying the design of mold and die for the third and the fourth stages, the life of mold and die is explored to reduce the forging force in the fifth stage. Page(s): 219-224

2013-06-01T00:00:00Z Lin, Cheng-Jian Shiue, Yu-Jia Su, Miin-Tsair Lee, Chi-Yung http://nopr.niscpr.res.in/handle/123456789/19058 2016-07-20T06:33:48Z 2013-06-01T00:00:00Z

Title: An intelligent and efficient sawing approach for solar cell wafers Authors: Lin, Cheng-Jian; Shiue, Yu-Jia; Su, Miin-Tsair; Lee, Chi-Yung Abstract: Defective blocks, which are easily produced at the edges of wafers during the solar cell wafer production process, can affect wafer usability. The traditional approach to prevent this problem from occurring is to cut out and remove the wafer edge up to a certain fixed width. Nevertheless, the removal of such a defective area often leads to usable areas to be cut out, resulting in unnecessary waste. Therefore, this study aims to design an automated cutting path planning algorithm that can calculate a viable cutting path so that after having passed through such a path, wafers can preserve a relatively maximum amount of usable area. The algorithm uses machine vision to detect defective areas in each wafer image, and combines with fuzzy potential function to generate a design for the relatively optimal cutting path. Finally, defective areas at the wafer edge are cut out along this path, resulting in greater usable area being preserved for each wafer as compared to the traditional cutting method, thus allowing each wafer deliver more benefits. Page(s): 213-218

2013-06-01T00:00:00Z