An improved cutting force prediction model in the milling process with a multi-blade face milling cutter based on FEM and NURBS

Abstract(#br)Multi-blade face milling cutters are widely used in the finish machining of mechanical parts. The cutting force in the milling process is a crucial factor that promotes the chatter of the machine spindles, which can be used to predict the machined surface roughness. In this paper, a novel cutting force prediction model based on non-uniform rational basis splines (NURBS) and finite element method (FEM) is proposed. Single blade cutting forces under different parameters are simulated by FEM, and a cutting force model of the single blade is established by the NURBS interpolation method. Then, combined with the tool tip motion model, the cutting force of the multi-blade face milling cutter can be predicted. To verify the correctness of the cutting force predicted by the proposed..

BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis

We introduce BSD-GAN, a novel multi-branch and scale-disentangled training method which enables unconditional Generative Adversarial Networks (GANs) to learn image representations at multiple scales, benefiting a wide range of generation and editing tasks. The key feature of BSD-GAN is that it is trained in multiple branches, progressively covering both the breadth and depth of the network, as resolutions of the training images increase to reveal finer-scale features. Specifically, each noise vector, as input to the generator network of BSD-GAN, is deliberately split into several sub-vectors, each corresponding to, and is trained to learn, image representations at a particular scale. During training, we progressively "de-freeze" the sub-vectors, one at a time, as a new set of higher-resolution images is employed for training and more network layers are added. A consequence of such an explicit sub-vector designation is that we can directly manipulate and even combine latent (sub-vector) codes which model different feature scales.Extensive experiments demonstrate the effectiveness of our training method in scale-disentangled learning of image representations and synthesis of novel image contents, without any extra labels and without compromising quality of the synthesized high-resolution images. We further demonstrate several image generation and manipulation applications enabled or improved by BSD-GAN. Source codes are available at https://github.com/duxingren14/BSD-GAN.Comment: 12 pages, 20 figures, accepted to IEEE Transaction on Image Processin

Error compensation and accuracy analysis of laser measurement system based on laser-beam calibration

Abstract(#br)In this paper, a novel measurement strategy, based on a 4D error-compensation model for the measurement of free-form surfaces in laser measurement systems, is presented. To improve the measurement accuracy, effects of the inclination angle and the azimuth angle (including the rotation angle and the deflection angle) on the measurement results are investigated experimentally. Considering the error compensation and the constructing iterative function, a calibration method for arbitrary positions and orientations of the laser-beam is presented, and a corresponding measurement strategy is presented. To verify the effectiveness and accuracy of the proposed measurement strategy, calibration schemes of a check bar geometry center are studied based on a 4-axis measuring platform. The obtained results demonstrate that the proposed strategy can greatly improve the measurement accuracy

Novel laser triangulation measurement method for screw rotor profile under multi-factor constraints

Abstract(#br)In order to achieve optimal control of the screw rotor process, a novel measurement method using laser triangulation under multi-factor constraints was introduced to achieve online measurement of the screw rotor profile. This method involved the integration of a 4-axis motion system, which is used to adjust the laser probe, with a laser displacement sensor (LDS), which is used to measure the screw rotor profile. Firstly, the effect of laser beam positioning on measurement accuracy was analyzed experimentally in conjunction with an improved LDS error compensation model. Then, according to the characteristics of rotor profiles, a laser-measurement trajectory planning algorithm for the rotor profile under multi-factor constraints was developed. Finally, the comparison study between the traditional contact measurement (P65) and the proposed measurement demonstrates that the proposed method has not only kept the advantages of traditional contact measurement, but also shown good performances and high measuring precision

Uplift of the Longmen Shan range and the Wenchuan earthquake

ABSTRACT: The 12 May 2008 Wenchuan earthquake (M-s,=8.0) struck on the Longmen Shan foreland thrust zone. The event took place within the context of long-term uplift of the Longmen Shan range is a result of the extensive eastward-extrusion of crustal materials from the Tibetan plateau against the rheologically strong crust of the Sichuan Basin. The Longmen Shan range is characterized by a Pre-Sinian crystalline complex constrained by the Maoxian-Wenchuan-Kangding ductile detachment at the western margin and the Yingxiu-Beichuan-Luding ductile thrust at the eastern margin. The Longmen Shan uplift was initiated by intracontinental subduction between the Songpan-Ganzi terrane and the Yangtze block during the Pre-Cenozoic. The uplift rate was increased considerably by the collision between the Indian and Eurasian plates since similar to 50 Ma. The Wenchuan earthquake resulted in two major NE-striking coseismic ruptures (i.e., the similar to 275 km long Yingxiu-Beichuan-Qingchuan fault and the similar to 100 km long Anxian-Guanxian fault). Field investigations combined with focal solutions and seismic reflection profiles suggest that the coseismic ruptures are steeply dipping close-to-pure reverse or right reverse oblique slip faults in the similar to 15 km thick tipper crust. These faults are unfavorably oriented for frictional slip in the horizontally compressional regime, so that they need a long recurrence interval to accumulate the tectonic stress and fluid pressure to critically high levels for the formation of strong earthquakes at a given locality. It is also found that all the large earthquakes (M-s>7.0) occurred in the fault zones across which the horizontal movement velocities measured by the GPS are markedly low (<3 mm/yr). The faults, which constitute the northeastern fronts of the enlarging Tibetan plateau against the strong Sichuan Basin, Ala Shan and Ordos blocks, are very destructive, although their average recurrence intervals are generally long

Synergistic activity of the combination of falcarindiol and itraconazole in vitro against dermatophytes

Previous studies have shown that natural polyacetylene alcohols, such as falcarindiol (FADOH), have good antifungal effects on plant fungi. While its effect on fungi that infect humans remains to be explored. In our study, checkerboard microdilution, drop-plate assay, and time-growth method were employed to analyze the interactions between FADOH and itraconazole (ITC) in vitro against dermatophytes, including 12 Trichophyton rubrum (T. rubrum), 12 Trichophyton mentagrophytes (T. mentagrophytes), and 6 Microsporum canis (M. canis). The results showed that the combination of FADOH and ITC exhibited synergistic and additive activity against 86.7% of all tested dermatophytes. FADOH had an excellent synergistic effect on ITC against T. rubrum and T. mentagrophytes; the synergistic rates were 66.7% and 58.3%, respectively. On the contrary, FADOH combined with ITC showed poor synergistic inhibitory activity (16.7%) against M. canis. Moreover, the additive rates of these two drugs against T. rubrum, T. mentagrophytes, and M. canis were 25%, 41.7%, and 33.3%, respectively. No antagonistic interactions were observed. The drop-plate assay and time-growth curves confirmed that the combination of FADOH and ITC had a potent synergistic antifungal effect. The in vitro synergistic effect of FADOH and ITC against dermatophytes is reported here for the first time. Our findings suggest the potential use of FADOH as an effective antifungal drug in the combined therapy of dermatophytoses caused especially by T. rubrum and T. mentagrophytes

Measurement Invariance of the Depression Anxiety Stress Scales-21 Across Gender in a Sample of Chinese University Students

The Depression Anxiety Stress Scales-21 (DASS-21) has three 7-item subscales (depression, anxiety, and stress). The current study aims assess the gender-based measurement invariance of the DASS-21 questionnaire in a Chinese university student sample from five different cities. The sample was composed of 13208 participants (62.3% female, mean age of 19.7 years, and SD age = 1.8). Multi-group confirmatory factor analysis supported full measurement invariance for the three subscales. The findings support the measurement invariance of DASS-21 scores across gender. Future research on the DASS should include additional validation across ethnicities and testing of all versions of the DASS

Moving people in a city-state : a study of transport mobility in Singapore

Bachelor'sBACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT