MOTOR HAVING MULTIPLE COOLING FLOW CHANNELS
    51.
    发明公开

    公开(公告)号:US20230198340A1

    公开(公告)日:2023-06-22

    申请号:US18061487

    申请日:2022-12-05

    CPC classification number: H02K9/193 H02K1/20 H02K1/32 H02K5/20

    Abstract: A motor having multiple cooling flow channels, includes a housing, a stator, and a rotor. The stator comprises a winding. The housing comprises a cooling liquid inlet, an arc-shaped flow channel, and a cooling liquid outlet; the arc-shaped flow channel is defined around the housing and connected to the stator core; the rotor comprises a rotor flow channel; both the rotor flow channel and the arc-shaped flow channel are communicated with the cooling liquid inlet and outlet; and the rotor flow channel and the arc-shaped flow channel respectively correspond to two ends of the winding. A cooling liquid enters the arc-shaped flow channel for cooling the housing and a stator core of the motor, and enters the rotor flow channel for cooling the rotor. The cooling liquid flows through the rotor flow channel and the arc-shaped flow channel for respectively cooling the ends of the winding.

    Frequency locking method and circuit for phase-locked loop

    公开(公告)号:US11641208B2

    公开(公告)日:2023-05-02

    申请号:US17742336

    申请日:2022-05-11

    Abstract: A frequency locking method for a phase-locked loop comprises the following steps: S1, a frequency control module controls a numerically controlled oscillator to obtain an maximum output frequency and a minimum output frequency; S2, obtain a minimum frequency ratio and a maximum frequency ratio by means of a time-to-digital converter and the frequency control module; S3, calculate a first frequency control word and a first frequency ratio according to the minimum frequency ratio and the maximum frequency ratio; S4, the frequency control module uses the Newton's iterative method to recalculate a new frequency control word; S5, obtain a new frequency ratio according to the new frequency control word; S6, if the new frequency ratio is within an error range, end iteration and stably output the new frequency control word, and otherwise, jump to step S4.

    LACTOBACILLUS HARBINENSIS AND APPLICATION THEREOF

    公开(公告)号:US20230124764A1

    公开(公告)日:2023-04-20

    申请号:US17287506

    申请日:2019-10-18

    Abstract: The invention discloses a Schleiferilactobacillus harbinensis (former name Lactobacillus harbinensis) M1 and use thereof. The preservation number of Schleiferilactobacillus harbinensis M1 is GDMCC No. 60305. The strain is sensitive to antibiotics such as ampicillin, tetracycline and chloramphenicol, and its safety meets the requirements of EFSA. Its supernatant has a significant inhibitory effect on Listeria monocytogenes, Streptococcus hemolyticus and Staphylococcus aureus. The present invention also protects the use of Schleiferilactobacillus harbinensis M1 in fermented soymilk; using the bacteria to ferment soymilk alone has the advantages of strong acid production ability, high amount of viable bacteria, few or even completely no beany flavor substances, and significant higher content of characteristic aroma components of fermented milk, which greatly improves the sensory flavor of fermented soymilk.

    Rare-Earth Doped Semiconductor Material, Thin-Film Transistor, and Application

    公开(公告)号:US20230094925A1

    公开(公告)日:2023-03-30

    申请号:US17994022

    申请日:2022-11-25

    Abstract: Disclosed in the present invention is a rare-earth doped semiconductor material. Compounds of two rare-earth elements R and R′ having different functions are introduced into an indium oxide containing material. The coupling of R element ions to an O2p orbit can effectively enhance the transfer efficiency of the rare-earth R′ as a photogenerated electron transfer center, such that the light stability of a device with a small amount of R′ doping can be achieved. Compared with single rare-earth element R′ doping, due to less doping, the impact on a mobility is less, such that higher mobility and light stability devices can be obtained. Further provided in the present invention is a semiconductor-based thin-film transistor, and an application.

    Method for decolorizing and deproteinizing brown algae polysaccharides

    公开(公告)号:US11572419B2

    公开(公告)日:2023-02-07

    申请号:US17292657

    申请日:2020-08-18

    Abstract: A method for decolorizing and deproteinizing brown algae polysaccharides belongs to the field of deep processing of brown algae. The method combines ultraviolet (UV) with hydrogen peroxide (H2O2), including the following steps: extracting dried and pulverized brown algae by hot water to obtain brown algae polysaccharide, dissolving the brown algae polysaccharide in an aqueous solution containing H2O2 and irradiating under ultraviolet light, wherein the mass concentration of the brown algae polysaccharide is 2.5-10.0 mg/mL, the concentration of the H2O2 is 25-150 mmol/L, and the UV irradiation time is 1.0-2.0 h, so as to deproteinize and decolorize the brown algae. The invention does not use acids, bases and organic solvents, which is green with no pollution, simple in operation, safe, economical and time-saving.

    MAGNETIC FIBER MATERIAL, PREPARATION METHOD FOR SAME, AND APPLICATIONS THEREOF

    公开(公告)号:US20230011363A1

    公开(公告)日:2023-01-12

    申请号:US17784968

    申请日:2020-10-20

    Abstract: The present invention belongs to the field of functional fibrous materials, and discloses a magnetic fibrous material and a preparation method and application thereof. A polymer and a magnetic load raw material are dissolved in a solvent to obtain a uniform spinning solution; a solute component that reacts with the magnetic load raw material is added into a coagulation bath solvent to obtain a reactive coagulation bath solution; the spinning solution is electrospun, and the produced fiber is collected with the reactive coagulation bath solution, so that the magnetic load raw material in the fiber reacts in situ with the solute in the reactive coagulation bath solution to obtain the magnetic fibrous material.

    METHOD FOR AUTOMATIC SEGMENTATION OF FUZZY BOUNDARY IMAGE BASED ON ACTIVE CONTOUR AND DEEP LEARNING

    公开(公告)号:US20220414891A1

    公开(公告)日:2022-12-29

    申请号:US17641445

    申请日:2020-10-31

    Abstract: The present invention discloses a method for automatic segmentation of a fuzzy boundary image based on active contour and deep learning. In the method, firstly, a fuzzy boundary image is segmented using a deep convolutional neural network model to obtain an initial segmentation result; then, a contour of a region inside the image segmented using the deep convolutional neural network model is used as an initialized contour and a contour constraint of an active contour model; and the active contour model drives, through image characteristics of a surrounding region of each contour point, the contour to move towards a target edge to derive an accurate segmentation line between a target region and other background regions. The present invention introduces an active contour model on the basis of a deep convolutional neural network model to further refine a segmentation result of a fuzzy boundary image, which has the capability of segmenting a fuzzy boundary in the image, thus further improving the accuracy of segmentation of the fuzzy boundary image.

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