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        Numerical Simulation and Analysis Procedure for Model-based Digital Driving Dependability in Intelligent Transport System

        Wuhong Wang,Hongwei Guo,Heiner Bubb,Katsushi Ikeuchi 대한토목학회 2011 KSCE JOURNAL OF CIVIL ENGINEERING Vol.15 No.5

        Based on numerical simulation and analysis procedure for measurement of digital driving shaping behaviour, this paper presents a methodology for model-based digital driving dependability analysis in intelligent transport system. First of all, the new role of driver in intelligent traffic information network environment has been described in enough detail, and then an algorithm for measuring dependability for both digital driving and normal driving has been developed for understanding digital driving error mechanisms. The emphasis of this paper is placed on modelling of digital driving reliability and simulating of digital driving safety by considering the influence of digital driving behaviour shaping factors. The objective of model-based driving dependability analysis is to provide a new solution for enhancing traffic safety.

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        The micro-drilling process fine modeling with the strain characteristics of undeformed chip considered

        Kuikui Feng,Fa-Ping Zhang,Wuhong Wang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2

        Due to the cross-scale phenomenon in micro-drilling, the cutting mechanism is diverse, which leads to the large deviation of traditional cutting modeling based on constant undeformed chip thickness (UCT). So the more accurate modeling of cutting force and temperature is necessary. Firstly, drill tip is considered as the combination of multi cutting elements, and mechanical model for any element is given. Then, calculation method of strain characteristics of undeformed chip (UCS) and corresponding revised method for model are given to realize the fine modeling. Based on mechanical model, heat partition coefficient in plough-slip is given. Finally, cutting experiment is carried out to verify the accuracy of model. The results show that this method can improve the accuracy of predictive force compared with traditional ways, especially the difference between predicted value and experimental value decreased by 60.47 % in plough-slip. Furthermore, the heat more flows into tool is unfavorable to surface processing in plough-slip.

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