Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the two substrates are subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: A method for computed tomography imaging and reconstruction based on learning, which measures the scene density distribution in an illumination multiplexing manner. The light source(s) for imaging emit(s) light according to the intensity obtained by pre-learning, and the light from different directions is absorbed and attenuated by the scene and reaches a sensor. The measured values are calculated and reconstructed to obtain the density information of the scene. The illumination intensity and reconstruction algorithm are learned by a neural network. In this method, the CT imaging process is modeled as a linear fully connected layer, and the weight corresponds to the illumination intensity of the light source for imaging; the reconstruction algorithm is modeled as a nonlinear neural network, which can be optimized according to the characteristics of scanning geometry.

Abstract: The invention introduces a lattice current collector with both functions of strain sensing and high-temperature circuit breaking and a manufacturing method thereof. The method includes: S1: constructing a model of a three-dimensional lattice substrate; S2: taking a mixed powder as a raw material, performing printing according to the constructed model of the three-dimensional lattice substrate based on additive manufacturing technology to obtain the three-dimensional lattice substrate, the mixed powder including a flexible polymer powder and a permanent magnetic powder; S3: performing surface treatment on the three-dimensional lattice substrate, preparing a liquid metal, and transferring the liquid metal to a surface of the three-dimensional lattice substrate to form a conductive network; S4: magnetizing the three-dimensional lattice substrate to obtain a magnetic three-dimensional lattice substrate current collector, i.e.

Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the two substrates are subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing and a preparation method thereof. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the substrate is subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: A freestyle acquisition method for a high-dimensional material, belonging to the field of computer graphics and computer vision. The learning of material information is transformed into a geometric learning problem on an unstructured point cloud, and a plurality of acquisition results in different lighting and view directions form a high-dimensional point cloud, each point in the point cloud being a vector formed by an image measurement value and pose information of an object during image capture. According to the method, information of unstructured views can be effectively aggregated from the high-dimensional point cloud which is disordered, irregular, uneven in distribution and limited in precision, and the material attribute with high quality is reconstructed.

Abstract: A method for obtaining a normal vector, a geometry and a material of a three-dimensional object based on a neural network is provided. The present disclosure provides, based on an idea of “actively irradiating an object with a number of specific patterns, capturing photos at the same time, and obtaining a normal vector of an object by calculating the obtained photos”, an acquisition method combined with a neural network. Further, the method uses the obtained normal vector to optimize a model of the object. This method can also obtain material feature information while obtaining the normal vector. Finally, a high-quality geometric result and a high-quality material acquisition result are obtained jointly. The number of illumination patterns obtained by using this method is small, and the normal vector obtained by the method has high accuracy and the method is not limited to a specific acquisition device.

Abstract: The disclosure belongs to the technical field of additive manufacturing, and discloses a flexible piezoelectric sensor based on 4D printing and a preparation method thereof. The sensor includes a magnetic part and a conductive part, wherein: the conductive part includes two substrates disposed opposite to each other and a spiral structure disposed between the two substrates. Both the two substrates and the spiral structure are made of conductive metal materials. The magnetic part has a flexible porous structure and is arranged between the two substrates to generate a magnetic field. When the substrate is subjected to external pressure, the spiral structure and the magnetic part are compressed simultaneously, the magnetic flux passing through the spiral structure changes, and the voltage of the two substrates changes, by measuring the voltage change of the two substrates to reflect the change of external pressure, the pressure measuring process is achieved.

Abstract: The invention belongs to the field of filament additive manufacturing, and discloses a polymer multi-material high-flexibility laser additive manufacturing system and a method thereof. The system comprises a first robot arm, a second robot arm, a positioner, a rotational extrusion nozzle in which a plurality of extrusion modules are disposed and a laser, each extrusion module is used for extruding one kind of filament, and the rotational extrusion nozzle is connected with the first robot which drives the rotational extrusion nozzle to move according to a preset trajectory; the laser is connected with the second robot, and is used for emitting a laser to fuse the filament extruded from the rotational extrusion nozzle, and through the cooperative motion of the first robot and the second robot, the extrusion and fusion of the filament are performed synchronously; the positioner serves as a forming mesa, and the rotation of the positioner cooperates with the motions of the two robots.

Abstract: A method for obtaining a normal vector, a geometry and a material of a three-dimensional object based on a neural network is provided. The present disclosure provides, based on an idea of “actively irradiating an object with a number of specific patterns, capturing photos at the same time, and obtaining a normal vector of an object by calculating the obtained photos”, an acquisition method combined with a neural network. Further, the method uses the obtained normal vector to optimize a model of the object. This method can also obtain material feature information while obtaining the normal vector. Finally, a high-quality geometric result and a high-quality material acquisition result are obtained jointly. The number of illumination patterns obtained by using this method is small, and the normal vector obtained by the method has high accuracy and the method is not limited to a specific acquisition device.

Abstract: The present disclosure belongs to the technical field of advanced manufacturing auxiliary equipment, and discloses an independently temperature-controlled high-temperature selective laser sintering frame structure, comprising a galvanometric laser scanning system, a powder feeding chamber, a forming chamber and a heat-insulating composite plate, and targeted optimization design is performed on the respective functional components.

Abstract: The present disclosure belongs to the technical field of advanced manufacturing auxiliary equipment, and discloses an independently temperature-controlled high-temperature selective laser sintering frame structure, comprising a galvanometric laser scanning system, a powder feeding chamber, a forming chamber and a heat-insulating composite plate, and targeted optimization design is performed on the respective functional components.

Abstract: The invention belongs to the field of filament additive manufacturing, and discloses a polymer multi-material high-flexibility laser additive manufacturing system and a method thereof. The system comprises a first robot arm, a second robot arm, a positioner, a rotational extrusion nozzle in which a plurality of extrusion modules are disposed and a laser, each extrusion module is used for extruding one kind of filament, and the rotational extrusion nozzle is connected with the first robot which drives the rotational extrusion nozzle to move according to a preset trajectory; the laser is connected with the second robot, and is used for emitting a laser to fuse the filament extruded from the rotational extrusion nozzle, and through the cooperative motion of the first robot and the second robot, the extrusion and fusion of the filament are performed synchronously; the positioner serves as a forming mesa, and the rotation of the positioner cooperates with the motions of the two robots.