PHOTOCURABLE COMPOSITIONS HAVING VARIABLE VISCOSITIES

    公开(公告)号:US20220267529A1

    公开(公告)日:2022-08-25

    申请号:US17610738

    申请日:2020-05-15

    Abstract: Photocurable compositions comprising 20-90% by weight of a polymerizable core resin; 20-90% by weight of a diluent resin miscible with said core resin; and at least about 1% by weight of at least one rheology modifier which is distinct from said diluent resin. Rheology modifiers of the present disclosure include compounds which may form covalent bonds with the core resin or diluent resin and compounds which have a particle size of 1-200 nm. Rheology modifiers which may form covalent bonds have at least one terminal functional group selected from the group consisting of acrylates, methacrylates, epoxides, oxetanes, nitriles, alkenes and alkynes.

    Fluid support continuous three-dimensional printer

    公开(公告)号:US11413812B2

    公开(公告)日:2022-08-16

    申请号:US16498808

    申请日:2018-03-29

    Abstract: Systems and methods for continuous printing of a three-dimensional (3D) object are provided. The system includes a resin tank, an optical image source, a support fluid reservoir and a pumping structure. The resin tank is where the 3D object is printed and includes a print bed to form a base of the 3D object. The optical image source modulates light in accordance with a 3D image to vary a degree and pattern of crosslinking in a photocrosslinkable resin in the resin tank. The support fluid reservoir is in fluid communication with the resin tank and includes a support fluid which is immiscible with the photocrosslinkable resin. And the pumping structure is configured to transfer the support fluid from the support fluid reservoir to the resin tank such that the support fluid rises in the resin tank at a same rate as vertical height of a top of the 3D object as the 3D object is printed on the print bed.

    POROUS COMPOSITE MATERIAL FOR SOUND ABSORPTION AND METHOD OF PRODUCING SAME

    公开(公告)号:US20220243022A1

    公开(公告)日:2022-08-04

    申请号:US17622358

    申请日:2020-08-04

    Abstract: A porous composite material (50) for sound absorption and a method (10) of producing the porous composite material (50) are provided. The method (10) includes preparing (12) a mixture of mechano-electrical conversion elements (56) and electro-thermal conversion elements (58) in an organic solvent. The mixture of the mechano-electrical conversion elements (56) and the electro-thermal conversion elements (58) in the organic solvent is mixed (14) with an aqueous solvent to precipitate a piezoelectric hybrid filler material (54). The piezoelectric hybrid filler material (54) is mixed (16) with a precursor. A foaming operation is performed (18) with the precursor to produce the porous composite material (50).

    MICRON-SIZED SILICA HOLLOW SPHERES WITH RASPBERRY-LIKE STRUCTURES AND A LOW-COST METHOD FOR PREPARATION THEREOF

    公开(公告)号:US20220227634A1

    公开(公告)日:2022-07-21

    申请号:US17609071

    申请日:2020-05-29

    Abstract: A method of producing hollow inorganic microparticles each having a raspberry-like structure is disclosed herein. The method includes forming a suspension comprising hierarchical microparticles directly from mixing of aqueous reactants, wherein the aqueous reactants are aqueous solutions each containing a reactant for forming the hierarchical microparticles, wherein the hierarchical microparticles comprise CaCO3 vaterite particles, adding a base, adding a silica precursor, wherein the base is added prior to adding the silica precursor, and removing the hierarchical microparticles with an acid to obtain the hollow inorganic microparticles each having the raspberry-like structure. A hollow inorganic microparticle having a raspberry-like structure produced according to the method is also disclosed herein.

    CLASSIFYING SIGNALS FOR MOVEMENT CONTROL OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20220164029A1

    公开(公告)日:2022-05-26

    申请号:US17599099

    申请日:2019-03-29

    Abstract: Disclosed is a method for classifying signals for movement control of an autonomous vehicle. The method includes receiving first data comprising concurrently recorded electroencephalogram (EEG) and electromyogram (EMG) signals from a user. The data is used to train a classification model based on the recorded signals. The method further involves receiving second data comprising further EEG and EMG signals recorded from the user, comparing the second data to the classification model to determine a user movement represented by the second data, and determining a control signal for controlling the autonomous vehicle, based on the user movement. This may be used in a further method for identifying an event.

Patent Agency Ranking