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Fatigue Limit of Shot Peened LC9 Aluminum Alloy
WANG, Shengping,Yongjun, LI Xiuming, CHANG,YANG, Yuhui,YAO, Mei,WANG, Renzhi 대한금속재료학회(대한금속학회) 1996 METALS AND MATERIALS International Vol.2 No.2
The effects of shot peening on the three-point bending fatigue limit are described for LC9 aluminum alloy. Examination of the fatigue fracture surfaces revealed that the fatigue cracks were initiated under the hardened layer, depending upon the compressive residual stress (CRS) distribution. In this case, the local fatigue limit at the fatigue source is about 1.38 times of that of unstrengthened ones. An explanation is given with reference to the. concept of internal fatigue limit σ_(wi), which is regarded as the critical stress to initiate propagative fatigue microcrack in the interior of metal, and an intrinsic property of metal
Zaida Gao,Shengping Fu,Shengbo Li 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.12
A correlation was established between the sample length and gear speed, and time-varying roughness characteristics were recorded at specific speeds (referred to as timevarying roughness). We investigated how the measured tooth surface roughness influences both the gear errors and the tooth surface friction coefficient. The mathematical representation of the measured roughness was illustrated using statistical analysis procedures. Drawing from fractal theory, we developed a gear error correction model that considers the effects of the time-varying roughness. We introduced a correction mechanism for both time-varying roughness and error into the Xu model. Additionally, we presented a method to calculate the tooth friction coefficients while taking into account the statistical characteristics of tooth surface topography. A numerical analysis was then carried out to investigate the effect of time-varying roughness and gear error on the tooth friction coefficient. Taking into account the influence of the measured tooth surface roughness, we built a gear analysis model by applying the lumped mass method. The effects of the measured roughness on the gear transmission process were analyzed using numerical analysis. A bench test was designed and executed to evaluate the vibration traits of the gear system. The maximum discrepancy between the test and numerical outcomes was 25.21 %. This article provides theoretical and data support for the dynamically optimal design of gear transmissions.
Construction of Customer Appeal Classification Model Based on Speech Recognition
Sheng Cao,Yaling Zhang,Shengping Yan,Xiaoxuan Qi,Yuling Li 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.2
Aiming at the problems of poor customer satisfaction and poor accuracy of customer classification, this paperproposes a customer classification model based on speech recognition. First, this paper analyzes the temporaldata characteristics of customer demand data, identifies the influencing factors of customer demand behavior,and determines the process of feature extraction of customer voice signals. Then, the emotional associationrules of customer demands are designed, and the classification model of customer demands is constructedthrough cluster analysis. Next, the Euclidean distance method is used to preprocess customer behavior data. The fuzzy clustering characteristics of customer demands are obtained by the fuzzy clustering method. Finally,on the basis of naive Bayesian algorithm, a customer demand classification model based on speech recognitionis completed. Experimental results show that the proposed method improves the accuracy of the customerdemand classification to more than 80%, and improves customer satisfaction to more than 90%. It solves theproblems of poor customer satisfaction and low customer classification accuracy of the existing classificationmethods, which have practical application value.
Meshing principle and characteristics analysis of an abnormal cycloidal internal gear transmission
Jingyu Mo,Shanming Luo,Shengping Fu,Xuefeng Chang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10
A novel 2K-H internal meshing abnormal cycloidal gear (ACG) planetary reducer is proposed to tackle the rotor vector (RV) reducer problems, such as complex overpositioning structure, high manufacturing and assembly accuracy requirements. The composite tooth profile of epicycloid-involute-hypocycloid is adopted as the tooth profile of the reducer. The aim of this study was to investigate the meshing principle of such gear and evaluate its transmission characteristics. The meshing principle of tooth profile of the ACG is described. According to the gear geometry theory, the mathematical model of conjugate tooth profile of ACG pair was derived based on the contact path. And the influence of design parameters on the ACG tooth profile were also carried out. Moreover, the non-interference condition of the ACG pair was derived, and then meshing characteristics of the ACG pair were analyzed by numerical example, such as contact ratio, sliding ratio, and meshing efficiency. The bending and contact stresses of the ACG pair were also evaluated by comparing with those of involute pair. The results show that, the ACG has good transmission characteristics, such as small sliding ratio, high transmission efficiency. Compared with the involute gear, the bending and contact stresses of the ACG are reduced. The study lays a theoretical foundation for the optimization design of the ACG and the improved reliability of the ACG reducer.
Hedging Deep Features for Visual Tracking
Qi, Yuankai,Zhang, Shengping,Qin, Lei,Huang, Qingming,Yao, Hongxun,Lim, Jongwoo,Yang, Ming-Hsuan IEEE 2019 IEEE transactions on pattern analysis and machine Vol.41 No.5
<P>Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer to represent the target. However, features from a certain layer are not always effective for distinguishing the target object from the backgrounds especially in the presence of complicated interfering factors (e.g., heavy occlusion, background clutter, illumination variation, and shape deformation). In this work, we propose a CNN-based tracking algorithm which hedges deep features from different CNN layers to better distinguish target objects and background clutters. Correlation filters are applied to feature maps of each CNN layer to construct a weak tracker, and all weak trackers are hedged into a strong one. For robust visual tracking, we propose a hedge method to adaptively determine weights of weak classifiers by considering both the difference between the historical as well as instantaneous performance, and the difference among all weak trackers over time. In addition, we design a Siamese network to define the loss of each weak tracker for the proposed hedge method. Extensive experiments on large benchmark datasets demonstrate the effectiveness of the proposed algorithm against the state-of-the-art tracking methods.</P>
Optimization of Energy Consumption in the Mobile Cloud Systems
( Pan Su ),( Wang Shengping ),( Zhou Weiwei ),( Liu Shengmei ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.9
We investigate the optimization of energy consumption in Mobile Cloud environment in this paper. In order to optimize the energy consumed by the CPUs in mobile devices, we put forward using the asymptotic time complexity (ATC) method to distinguish the computational complexities of the applications when they are executed in mobile devices. We propose a multi-scale scheme to quantize the channel gain and provide an improved dynamic transmission scheduling algorithm when offloading the applications to the cloud center, which has been proved to be helpful for reducing the mobile devices energy consumption. We give the energy estimation methods in both mobile execution model and cloud execution model. The numerical results suggest that energy consumed by the mobile devices can be remarkably saved with our proposed multi-scale scheme. Moreover, the results can be used as a guideline for the mobile devices to choose whether executing the application locally or offloading it to the cloud center.
( Lifang Yue ),( Hexin Lv ),( Jing Zhen ),( Shengping Jiang ),( Shiru Jia ),( Shigang Shen ),( Lu Gao ),( Yujie Dai ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.4
Preservation of fresh algae plays an important role in algae seed subculture and aquaculture. The determination and examination of the changes of cell viability, composition, and bacterial species during storage would help to take suitable preservation methods to prolong the preservation time of fresh algae. Nostoc flagelliforme is a kind of edible cyanobacterium with important herbal and dietary values. This article investigated the changes of bacterial species and biochemical characteristics of fresh N. flagelliforme concentrate during natural storage. It was found that the viability of cells decreased along with the storage time. Fourteen bacteria strains in the algae concentrate were identified by PCR-DGGE and were grouped into four phyla, including Cyanobacteria, Firmicutes, Proteobacteria, and Bacteroidetes. Among them, Enterococcus viikkiensis may be a concern in the preservation. Eleven volatile organic compounds were identified from N. flagelliforme cells, in which geosmin could be treated as an indicator of the freshness of N. flagelliforme. The occurrence of indole compound may be an indicator of the degradation of cells.