Shih-Ming Wang
Chung Yuan Christian University
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Featured researches published by Shih-Ming Wang.
Transactions of Nonferrous Metals Society of China | 2012
Shih-Ming Wang; Da-fun Chen; Min-chang Jang; Shambaljamts Tsooj
Taking the minimum chip thickness effect, cutter deflection, and spindle run-out into account, a micro milling force model and a method to determine the optimal micro milling parameters were developed. The micro milling force model was derived as a function of the cutting coefficients and the instantaneous projected cutting area that was determined based on the machining parameters and the rotation trajectory of the cutter edges. When an allowable micro cutter deflection is defined, the maximum allowable cutting force can be determined. The optimal machining parameters can then be computed based on the cutting force model for better machining efficiency and accuracy. To verify the proposed cutting force model and the method to determine the optimal cutting parameters, micro-milling experiments were conducted, and the results show the feasibility and effectiveness of the model and method.
ASME 2007 International Manufacturing Science and Engineering Conference | 2007
Shih-Ming Wang; Han-Jen Yu; Yi-Hung Liu; Da-Fun Chen
Technology development trends towards the ability to manufacture ever smaller parts and feature sizes with increased precision and decreased cost. Micro machining is one of the important manufacturing methods to fulfill the requirements from the industry. The objective of this paper is to develop an on-machine error measurement system that can identify the micro machining errors for error compensation so that the machining accuracy of a meso-scale machine tool (mMT) can be enhanced. Because of the difficulty in handling and repositioning the miniature workpiece, the error measurement system should be non-contact and on-machine executable. To meet this requirement, a vision-based error measurement system integrating image re-constructive technology, camera pixel correction, and model comparison algorithm error was developed in this study. The proposed measurement system consists of a CCD with CCTV lens, a precision 3-DOF platform, image re-construction sub-system, and contour error calculation sub-system. By adopting Canny Edge Detection algorithm and camera pixel calibration method, the contour of a machined workpiece can be identified and compared to the pixel-based theoretical contour model of the workpiece to determine the micro machining errors. Because the system does not have to remove the machined workpiece from the CNC machine tool, errors due to re-installing and re-positioning can be avoided. To prove the feasibility of the developed algorithm and system, measurement results obtained from the vision-based measurement system were compared with the measurements of CMM, and error compensation experiment conducted on a 3-DOF mMT was also conducted. The results have shown the good feasibility and effectiveness of the developed system.Copyright
Journal of Micro and Nano-Manufacturing | 2015
Shih-Ming Wang; Zhe-Zhi Ye; Chih-Peng Yang; Chuntai Yen
The products of 3C, bioscience, medical industry, and aerospace industry are becoming smaller and smaller. The components of the products are made of various materials with complex 3D shapes requiring high accuracy in their dimensions and contours. An accurate micro-/mesoscale computer numerical control (CNC) machine tool is an essential part of this technology. A new type of CNC micromachine tool with a togglelike mechanism having the characteristics of low-cost and fine-resolution was developed. With geometric reduction principle, the machine can provide finer feed resolution and better positioning accuracy without using high-end driving components and controller. The kinematics model and characteristics of the machine were derived and analyzed. Modal analysis and dynamic compliance analysis were employed to design a light-weight structure with good stiffness. The accuracy calibration results showed the machine can reach a positioning accuracy of 500 nm. Prototype of the machine was built, and furthermore, some micromachining examples were demonstrated in this paper.
ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing | 2008
Shih-Ming Wang; Zou-Sung Chiang; Da-fun Chen
To enhance the implementation of micro milling, it is necessary to clearly understand the dynamic characteristics of micro milling so that proper machining parameters can be used to meet the requirements of application. By taking the effect of minimum chip thickness and rake angle into account, a new cutting force model of micro-milling which is function the instantaneous cutting area and machining coefficients was developed. According to the instantaneous rotation trajectory of cutting edge, the cutting area projected to xy-plane was determined by rectangular integral method, and used to solve the instantaneous cutting area. After the machining coefficients were solved, the cutting force of micro-milling for different radial depths of cut and different axial depths of cut can be predicted. The results of micro-milling experimental have shown that the force model can predict the cutting force accurately by which the optimal cutting parameters can be selected for micro-milling application.Copyright
ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference | 2014
Shih-Ming Wang; Chih-Peng Yang; Zhe-Zhi Ye; Chuntai Yen
The products of 3C, bioscience, medical industry, and aerospace industry are becoming smaller and smaller. The components of the products are made of various materials with complex 3D shapes requiring high accuracy in their dimensions and contours. An accurate micro-/meso-scale CNC machine tool is an essential part of this technology. A new type of CNC micro machine tool with a toggle-like mechanism having the characteristics of low-cost and fine-resolution was developed. With geometric reduction principle, the machine can provide finer feed resolution and better positioning accuracy without using high-end driving components and controller. The kinematics model and characteristics of the machine were derived and analyzed. Modal analysis and dynamic compliance analysis were employed to design a light-weight structure with good stiffness. The accuracy calibration results showed the machine can reach a positioning accuracy of 500 nm. Prototype of the machine was built, and furthermore some micro machining examples were demonstrated in this paper.Copyright
International Journal of Precision Engineering and Manufacturing | 2013
Shih-Ming Wang; Ji-Jun Lin
International Journal of Precision Engineering and Manufacturing | 2014
Shih-Ming Wang; Ji-Jun Lin; Zhe-Zhi Ye; Shambaljamts Tsooj; Chun-Chieh Wang
Applied Sciences | 2016
Shih-Ming Wang; Yung-Si Chen; Chun-Yi Lee; Chin-Cheng Yeh; Chun-Chieh Wang
International Journal of Precision Engineering and Manufacturing | 2014
Shih-Ming Wang; Chien-Da Ho; Po-Cheng Tsai; Chuntai Yen
International Journal of Precision Engineering and Manufacturing | 2013
Shih-Ming Wang; Ren-Jeng Wang; Shambaljamts Tsooj