Authors: Y.H. Yang, Shi Jin Chen, K. Cheng
Abstract: A novel fast tool servo driven by piezoelectric actuator for precision diamond turning is
designed in this paper. To overcome the inherent hysteresis and drift nonlinearity effect of the
piezoelectric actuator, a closed-loop control system is established using strain gauge integrated in
the actuator for position feedback, which has compact structure and can avoid interference in the
machining. Furthermore, a fuzzy PI control algorithm is presented. It has not only the advantages of
agility and adaptability of fuzzy control, but the characteristics of high accuracy of PI arithmetic. At
last, experiments are carried out and the results show that the fuzzy PI control provides significantly
better tracking accuracy and robustness against hysteresis and drift effects.
195
Authors: Wen Jun Zong, Dan Li, T. Sun, K. Cheng
Abstract: In this paper, a coupled thermo-mechanical FE model is proposed to simulate the cutting
temperature’s distribution produced in diamond turning. Simulated results indicate that the heat
converting from plastic work has prominent effects on the distribution shape of cutting temperature
field, and with an increment in cutting velocity, the locating site of maximal cutting temperature
shifts from the contact area between tool tip and chip root to the contact area between rake face and
chip. Cutting edge radius has minute influence on the distribution shape of cutting temperature field,
but the bigger the cutting edge radius is, the higher the maximum cutting temperature in cutting
region. Rake angle also has slight effects on the maximal temperature when it is more than 10○.
While clearance angle reaches to 6○, the maximum cutting temperature approaches the smallest.
100
Authors: Wen Jun Zong, Dan Li, T. Sun, K. Cheng, Ying Chun Liang
Abstract: A brittle-ductile transition lapping mechanism is proposed for the mechanical lapping of ultra-precision diamond cutting tools, and then the critical depths of cut for brittle-ductile transition in different orientations and on different planes are deduced in theory. Combined the critical lapping depth with the contact accuracy between rotating scaife and lapped tool surface, the influences of processing factors on cutting edge radius are studied. Both the theoretical analyses and experimental results indicate that the vibration of lapping machine tool and surface quality of scaife have enormous influences on the sharpened cutting edge. And lapping compression force has an optimal value. Lapping rate should be considered when lapping velocity is selected. But the smaller the lapping velocity is, the littler the cutting edge radius sharpened. Finally, the optimal selections are performed for each influencing factor and a perfect diamond tool is lapped in ductile mode with
a cutting edge radius of 30~40nm and a surface roughness Ra of 0.7nm.
345
Authors: Wen Jun Zong, Dan Li, H.X. Wang, T. Sun, K. Cheng, Ming Jun Chen
Abstract: In order to avoid the stochastic damage of micro cleavage on cutting edge, a brittle-ductile transition lapping mechanism is proposed for the mechanical lapping of single crystal diamond cutting tools to direct the tools lapping. As expected, the critical depths of cut for brittle-ductile transition in different orientations and on different crystal planes are calculated. According to the theoretical results, the actual dynamic depth of cut is controlled within the critical depth of cut, which ensures that the tool lapping is carried out in ductile regime and the changes of cutting edge radius
characterize with some specific time laws in lapping. Therefore, the time series and nonlinear least square methods are used to analyze the changing laws of cutting edge radius. As a result, a coupled model to build a bridge between the cutting edge radius changes and lapping time is developed. In terms of this developed model, a required cutting edge radius restricts a tool’s lapping time. Above all, the cutting edge radius is known in advance and has no needs measuring. So the production
efficiency of diamond cutting tools is improved and its production cost is reduced accordingly.
331
Authors: Shi Jin Chen, Q.L. Pang, K. Cheng
Abstract: In this paper, a finite element model of a two-dimensional orthogonal metal cutting
process is used to simulate the chip formation, cutting forces, stress, strain and temperature distributions. Two deformable parts are involved in this model: the workpiece and the cutting tool. To make the results of the simulation agree the orthogonal cutting test better, the separation surface between the chip and the machined surface is not predefined in this simulation. The chip-separation criterion is based on the Johnson and Cook law. This work will help as a reference to tackle more complex cutting processes such as oblique and discontinuous cutting.
582
Authors: X.C. Luo, K. Cheng, R. Ward
Abstract: This paper attempts to correlate surface functionality generation with machining
conditions by computer simulation and machining trials. The linear and nonlinear machining conditions, such as feed rate, built-up-edge, shear- localized chip formation, regenerative chatter are modelled in the light of their physical features. They are the inputs to the integrated surface topography generation model. The dynamic tool path is calculated through the dynamic cutting force model and surface response model. The surface is generated by transforming the tool profile onto the workpiece surface along the dynamic tool path. All of these models are integrated in a user-friendly Matlab Simulink environment. On the basis of the Simulink model, the dynamic simulation is performed to predict the 3D machined surface topography and its functionality. The simulation results have been validated by precision turning trials. The spectrum analysis of the machining dynamics and surface topography shows that surface generation is highly affected by the nonlinear factors in precision turning process. A case study shows the feasibility of generating some
functional surface for some product/component through controlling machining variables.
112
Authors: Zhen Long Wang, Yu Fang, Wan Sheng Zhao, K. Cheng
592
Authors: T. Sun, Yong Da Yan, J.F. Xia, Shen Dong, Ying Chun Liang, K. Cheng
577
Authors: Yong Da Yan, T. Sun, Shen Dong, Ying Chun Liang, K. Cheng
465
Authors: X.W. Liu, K. Cheng, D. Webb, X.Q. Jiang, S.J. Xiao, A.P. Longstaff, M.H. Widiyarto, L. Blunt, D. Ford
213