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RISS 인기검색어
- 검색키워드
- 저자 : Yixuan Feng (검색결과 4 건)
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Inverse Analysis of Inconel 718 Laser-Assisted Milling to Achieve Machined Surface Roughness
Yixuan Feng,Tsung-Pin Hung,Yu-Ting Lu,Yu-Fu Lin,Fu-Chuan Hsu,Chiu-Feng Lin,Ying-Cheng Lu,Xiaohong Lu,Steven Y. Liang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.11
This manuscript proposes an inverse analysis method for the machined surface roughness in laser-assisted milling on Inconel 718. The method solves the forward problem considering the tool profile and the elastic recovery of machined surface and applies the variance-based recursive method to guide the updating mechanism of process parameters to match the measurements. Subsequently, the inverse analysis identifies four process parameters of feed per tooth, tool tip radius, minimum cutting thickness, and tool tip angle, and finds the optimal solution for target performance, the surface roughness. The measurements are collected under the single beam coaxial laser-assisted milling spindle. The proposed modified Kalman filter algorithm introduces the gain coefficient G when updating the process parameters to improve robustness and accuracy. The inverse analysis is conducted on all measurements, and the average error of target performance is 0.460% when the laser is on and 0.394% when the laser is off. The average difference of process parameters is less than 5%, and the selection process is done in 50 loops within a minute. Therefore, the proposed inverse analysis model is robust, adaptive to different initial guesses and measurements, highly accurate, and saves computation time.
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Inertia matching analysis of a 5-DOF hybrid optical machining manipulator
Yixuan Kong,Gang Cheng,Feng Guo,Wei Gu,Laibin Zhang 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.10
Inertia matching means the ratio of the mechanical load inertia is converted to each actuator shaft to motor inertia, which is guaranteed within a reasonable range. At present, inertia matching is widely applied to tandem manipulators and CNC machine tools. However, the researches on the inertia matching of large load inertia optical machining manipulators have not been paid sufficient attention. We took the 5-DOF hybrid optical machining manipulator as the research object, established inverse dynamics model based on virtual work principle, and expressed the algebraic relationship between the joint-reflected inertia (JRI) coefficient and the ratio of load inertia. We also determined the inertia matching range of the machining manipulator by analyzing the mechanical system’s resonance frequency, energy matching efficiency and other factors qualitatively and quantitatively, as well as combining the load inertia ratio with dynamic precision characteristics. Finally, according to the derivation results, we analyzed the inertia matching rules of the 5-DOF hybrid optical machining manipulator with different structural parameters in certain machining tasks. In addition, the JRI coefficient and inertia matching principle proposed in this paper can be widely applied to other machining manipulators’ selection of driving equipment under different machining targets, and can also be used to evaluate the selection results.
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An Inverted U-shaped Relationship between Information Transparency and Idiosyncratic Risk
Yi Chang Chen,Mao Feng Kao,Hui Cheng Yu,Yuwen Yang,Yixuan Fu 한국유통과학회 2017 KODISA ICBE (International Conference on Business Vol.2017 No.-
Prior literature indicates that the endogeneity problem exists between information transparency and idiosyncratic risk, and that the results of the impact of transparency on risk are still inconclusive. This study attempts to employ a simultaneous equation model to investigate the non-linear relationship between information transparency and idiosyncratic risk. The variables of firm’s information transparency are drawn from the “Annual Report on China’s Companies’ Public Transparency” published by the China Social Science Academic Press. The finding indicates that an inverted U-shaped relationship exists between information transparency and idiosyncratic risk. The empirical result of the non-linear relation not only confirms the disclosure theory that the relationship between information transparency and idiosyncratic risk is negative, but also explains the inconsistent evidence in previous research.
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Xiaohong Lu,Haixing Zhang,Zhen-yuan Jia,Yixuan Feng,Steven Y. Liang 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.7
Selection of cutting parameters in micro-milling operations is essential for improving machining efficiency and quality, and prolonging the micro-milling tool life. The increase of material removal rate (MRR) always means the increase of cutting parameters, which may lead to poor surface quality and micro-milling tool failure, even cutter breakage. An optimization approach based on genetic algorithm is used to achieve the maximum MRR under the constraints of surface roughness and cutter breakage. A theoretical model for predicting micro-milling cutter breakage is presented and micro-milling experiments were conducted to establish statistical models of cutter breakage and surface roughness. The optimized results were achieved under the constraints of the specified surface roughness and compared under the different surface roughness limitation. We find that the optimized results improve the machining efficiency and quality in micro-milling and is affected by constraint conditions complicatedly.
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