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73results about How to "Increased manufacturing flexibility" patented technology

Polymer multi-material high-flexibility laser additive manufacturing system and method thereof

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. With the present invention, problems such as easy blocking and short service life of the extrusion nozzle in the FDM forming are solved, thereby ensuring high flexibility of the manufacturing system and achieving the extrusion forming of the multi-material filaments.
Owner:HUAZHONG UNIV OF SCI & TECH

Factory intelligent early-warning system

The invention discloses a factory intelligent early-warning system which comprises the following successively connected modules: a multivariate heterogeneous data fusion processing module which collects monitoring data generated by each system of a factory and performs fusion on mass multivariate heterogeneous data based on xml technology, and performs processing through statistics methods such as sampling and normalization; a machine learning module which performs training learning on data that are generated by the multivariate heterogeneous data fusion processing module and performs continuous adjustment for generating a neural network system model which is related with fault data and fault phenomena and is used for analyzing the multivariate heterogeneous data that are generated in a subsequent production system and performing forecasting; and an information early-warning module which intelligently pushes an analysis result that is generated by the machine learning module to related management personnel for reminding. According to the factory intelligent early-warning system, through directly using a deep learning neural network system which is established according to deep learning technology in analytical forecasting for real-time mass data of the factory, high efficiency and high intelligence are realized, and furthermore factory management by the people is facilitated in an automatic evolution manner.
Owner:EAST CHINA NORMAL UNIV +1
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