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Zhang Xin,Li Chunzhi,Xue Ming,Wang Wenbin,Zhu Lihua 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
The suppression of vibration and noise is one of the critical problems in the optimal design of the motor. The vibration and noise caused by the magnetostrictive effect can not be ignored. In this paper, the vibration and noise caused by the magnetostrictive effect are suppressed by drilling holes in the stator and filling the holes with negative magnetostrictive material. Firstly, the electromagnetic–mechanical coupling model is established. By traversing all the drilling positions by finite element analysis (FEA), the stress value is calculated, and the drilling position corresponding to the minimum local stress is determined. It is found that the resource consumed by FEA is expensive, and the calculation time is prolonged. Deep learning is introduced as an alternative model to calculate the hole’s position and size. The Pix2Pix, Pix2PixHD, CycleGAN, and StarGAN are experimented with based on the PyTorch environment. Through the experiment, it is found that deep learning has an absolute advantage over the FEA in time which ensures a high accuracy rate. Finally, an experimental platform for measuring the strain of the motor stator is designed. According to the best positions and apertures of holes are obtained by the simulation and the actual situation, we drill holes in the motor stator and fill the holes with Ni, a negative magnetostrictive material. The result shows that the stator’s local stress is reduced by about 16%. The vibration and noise caused by the magnetostrictive effect are suppressed effectively.
Jiangying An,Yanlei Li,Chunzhi Zhang,Dequan Zhang 한국축산식품학회 2022 한국축산식품학회지 Vol.42 No.4
There are differences of spectral characteristics between different types of meat cut, which means the model established using only one type of meat cut for meat quality prediction is not suitable for other meat cut types. A novel portable visible and near-infrared (Vis/NIR) optical system was used to simultaneously predict multiple quality indicators for different commercial meat cut types (silverside, back strap, oyster, fillet, thick flank, and tenderloin) from Small-tailed Han sheep. The correlation coefficients of the calibration set (Rc) and prediction set (Rp) of the optimal prediction models were 0.82 and 0.81 for pH, 0.88 and 0.84 for L*, 0.83 and 0.78 for a*, 0.83 and 0.82 for b*, 0.94 and 0.86 for cooking loss, 0.90 and 0.88 for shear force, 0.84 and 0.83 for protein, 0.93 and 0.83 for fat, 0.92 and 0.87 for moisture contents, respectively. This study demonstrates that Vis/NIR spectroscopy is a promising tool to achieve the predictions of multiple quality parameters for different commercial meat cut types.
Yu Zhao,Yinfeng Xu,Fang Yu,Chunzhi Zhang 한국미생물학회 2018 The journal of microbiology Vol.56 No.4
In the present study, a new strain, Bacillus cereus ZY12, producing phospholipase D (PLD) was identified. The expression of PLD in this strain was found to be induced by its substrate, phosphatidylcholine (PC), and completely silenced by other carbon sources, such as glucose, fructose, and maltose, which are generally used in microbial growth cultures, thus presenting a unique expression pattern different from other PLD-producing microorganisms. This study is the first to report on the ability of B. cereus to produce PLD, and successfully clone its PLD-coding gene and identify its function, extending the knowledge on PLD distribution and evolution in microorganisms.
Gustav Wik,Yong Huang,Tongjun Zeng,Shanshan Qu,Yu Zheng,Jiping Zhang,Xinsheng Lai,Chunzhi Tang,Baoci Shan 사단법인약침학회 2016 Journal of Acupuncture & Meridian Studies Vol.9 No.1
Subtraction of functional magnetic resonance imaging activity data results in a loss of information regarding possible general patterns of brain activation under experimental conditions. We, hence, reanalyzed previous Waiguan acupuncture data to qualitatively elucidate patterns of cerebral correlations to acupuncture and placebo conditions. Healthy individuals (n=24) were randomly allocated to true and sham Waiguan acupuncture and to true and sham needling of a nonacupuncture point (nonacupoint), and functional magnetic resonance imaging scans were performed during stimulation. Statistical parametric mapping group comparisons revealed clearly different patterns of activation between Waiguan stimulation and the corresponding stimulation of a nonacupoint. The former condition produced less neocortical activation than the nonacupoint stimulation. Cerebellar activation was typically seen only during true Waiguan acupuncture. The reduced neocortical activity during both true and sham Waiguan acupuncture may indicate that this point activates anticorrelated networks, with possible intrinsic healing properties. Cerebellar activation during true Waiguan acupuncture implies the region's influence on healing networks.