Abstract: A massaging mechanism includes a driving member, an eccentric shaft, a guiding member and a pushing member. The driving member has a central shaft; the eccentric shaft is connected to the central shaft of the driving member for being driven by the driving member to rotate; the guiding member defines a guide hole. One end of the pushing member is connected to the eccentric shaft for being driven by the eccentric shaft to rotate around the central shaft, and the other end of the pushing member is slidably received in the guide hole for being driven by the eccentric shaft to extend and retract along an axial direction of the guide hole.

Abstract: Three-dimensional (3D) NAND memory devices and methods are provided. In one aspect, a fabrication method includes providing a substrate, forming memory cells over the substrate, depositing a first dielectric layer to cover the memory cells, forming at least one contact pad over the substrate, depositing a second dielectric layer over the at least one contact pad, forming first connecting pads over the second dielectric layer, bonding the first connecting pads with second connecting pads of a peripheral structure, and exposing the at least one contact pad from a back side of the substrate.

Abstract: Three-dimensional (3D) NAND memory devices and methods are provided. In one aspect, a fabrication method for a 3D NAND memory device includes providing a substrate, forming at least one contact pad over a first portion of a face side of the substrate, forming memory cells over a second portion of the face side of the substrate, depositing a first dielectric layer to cover the at least one contact pad and the memory cells of, forming a first connecting pads over the first dielectric layer and connected to the at least one contact pad and the memory cells, bonding the first connecting pads with second connecting pads of a peripheral structure, and exposing the at least one contact pad from a back side of the substrate.

Abstract: A magnetic-induced stiffness changed soft robot drive module includes magnetic-induced stiffness changed layer, two-degree-of-freedom pneumatic driver, magnetic core and sealing fixing device. The magnetic-induced stiffness changed layer and two-degree-of-freedom pneumatic driver are printed and formed. The magnetic core can be deformed together with the driver, and a magnetic field can be generated when it is energized. After the magnetic core is installed into the two-degree-of-freedom pneumatic driver, then assembled with the sealing fixing device, a soft robot drive module with one end fixed is finished. The magnetic-induced stiffness changed layer has the fast, reversible and controllable stiffness adjustment ability under the action of electromagnetic field.

Abstract: The invention provides a dynamic seal test device for cryogenic fluid medium. The dynamic seal test device includes stator unit, rotor unit, slipway, servo motor unit and sensors. The tested seal is installed inside the stator, and the thermal insulation stator and vacuum rotor together form a dynamic seal test structure. The seals and shaft sleeves can be flexibly replaced, which is beneficial to study the influence of different seal types, structure, and seal land configurations on the sealing performance. The servo motor provides power for the rotor and controls the rotation speed. The device greatly improves the thermal insulation capacity to avoid the gasification for the cryogenic fluid medium induced by the heat transfer from environment so that ensuring the stability of the test device.

Abstract: A spindle thermal error compensation method which is insensitive to the disturbance of the cooling system is provided, belonging to the technical field of error compensation in numerical control machine tools. First, the spindle model coefficient identification test, based on multi-state speed variable, is performed; after which, based on the correlation analysis between temperature and thermal error, the temperature measurement point, significantly correlated with the axial thermal error of the spindle, is determined. Next, a spindle thermal error model is established, which is insensitive to the cooling system disturbance. In addition, the coefficients in the model are identified under constraint condition, according to the nonlinear quadratic programming algorithm. Finally, based on the OPC UA communication protocol, the compensation value, as calculated by the model, is input to the numerical control system, in order to realize the compensation of the spindle thermal error.

Abstract: A large-panel ultrasonic on-machine scanning thickness measurement equipment and method is disclosed. A GNCMT is adopted as the measuring machine main body on which a measured large panel is clamped and conducts scanning measurement motion; a non-contact ultrasonic measurement device is installed on the spindle of the machine tool for realizing transmission and acquisition of ultrasonic signals; a coupling liquid circulation system with the functions of multi-layer filtering, flow monitoring and regulation is set up; a jet flow immersion coupling mode is adopted on the surface of the measured large panel, and micro-emulsion cutting fluid is used as compatible coupling liquid of ultrasonic on-machine thickness measurement; and the coupling liquid is recycled, purified and stably supplied circularly. The thickness measurement equipment has high multi-function integration and reliable performance.

Abstract: A self-adaptive compensation method for feed axis thermal error, which belongs to the field of error compensation in NC machine tools. First, based on laser interferometer and temperature sensor, the feed axis thermal error test is carried out; following, the thermal error prediction model, based on the feed axis thermal error mechanism, is established and the thermal characteristic parameters in the model are identified, based on the thermal error test data; next, the parameter identification test is carried out, under the preload state of the nut; next, the adaptive prediction model is established, based on the thermal error prediction model, while the parameters in the measurement model are identified; finally, adaptive compensation of thermal errors is performed, based on the adaptive error prediction model, according to the generated feed axis heat.

Abstract: A magnetic-induced stiffness changed soft robot drive module includes magnetic-induced stiffness changed layer, two-degree-of-freedom pneumatic driver, magnetic core and sealing fixing device. The magnetic-induced stiffness changed layer and two-degree-of-freedom pneumatic driver are printed and formed. The magnetic core can be deformed together with the driver, and a magnetic field can be generated when it is energized. After the magnetic core is installed into the two-degree-of-freedom pneumatic driver, then assembled with the sealing fixing device, a soft robot drive module with one end fixed is finished. The magnetic-induced stiffness changed layer has the fast, reversible and controllable stiffness adjustment ability under the action of electromagnetic field.

Abstract: A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Abstract: The invention provides a tool holder suitable for cryogenic minimum quantity lubrication, which belongs to the technical field of cooling and lubrication of numerical control machine tools. The device comprises a toolholder body, a peripheral static structure, a multilayer sealing structure, a heat insulation structure, and a bearing support structure. The invention solves the problems of insufficient cooling performance in the micro-lubrication technology and insufficient lubrication in the cryogenic cooling machining technology, and integrates the oxygen insulation protection effect of the cryogenic medium, the cooling effect of the cryogenic medium, and the friction reduction and lubrication effect of the micro-lubrication. It has a good processing effect on difficult-to-cut materials.

Abstract: This invention provides a method for building a multi-energy trading and management platform based on blockchain. Based on the attributes of different functions to be implemented in the energy trading and management platform, the platform is built by combining different advantages of blockchain technology and database technology. Deploy the functions of issuing transactions, matching transactions, and querying transaction information in Ethereum smart contract, store user registration information in a traditional database, and establish a mapping relationship between real information and lengthy blockchain accounts to make information of transactions on the market be displayed with real names. This method not only meets the needs of energy distributed transactions but also avoids the problem of incompatible string type data in Ethereum smart contracts which affects system performance. At the same time, the transaction data displayed with real names ensures the openness and legality of the transaction system.

Abstract: This invention provides a distributed energy transaction matching method based on energy network constraints and multiple knapsack model. First, it considers the matching between financial market transactions and actual energy network scheduling, then generates security constraints on the results of distributed transactions. Next, it designs a multiple knapsack model for peer-to-peer distributed transactions, which can meet the common quotation needs of users or producers who issue transactions and achieve efficient matching under energy network security checks. Finally, the model is verified based on the blockchain Ethereum smart contract test verification. This method provides new ideas for the connection between distributed energy trading and actual physical dispatch, proposes an inclusive and efficient matching model for the point-to-point distributed trading market, which has great reference value for the connection between distributed energy trading and actual conditions.

Abstract: This invention involves a multi-energy distributed transaction and smart contract design method based on the Ethereum private chain. This method includes the following steps: 1) Setting the genesis node of the smart contract as an administrator node, while other nodes as user nodes; 2) Distinguishing system functions and account permissions between administrator nodes and user nodes. Only administrator nodes can add or delete the types of tradable energy in the blockchain through the energy switch function; 3) The user realizes multiple energy transactions at the same time, and the smart contract matches the information released by users based on the market supply and demand situation. This invention can effectively solve the problems of the centralization of the current energy trading system and insufficient security protection. At the same time, it provides an effective solution to the current limited development of blockchain technology in the field of multi-energy trading.

Abstract: A rapid detection method for the geometric accuracy of the linear motion axis of an NC machine tool, uses accelerometers to measure the acceleration perpendicular to the direction of motion when the linear motion axis moves at a uniform speed. Firstly, the measuring device is mounted on the linear motion axis, and the upper measurement system automatically performs multi-channel acquisition and storage of the motion point acceleration data. Then, filter the acceleration data at the different speeds. Finally, the displacement data is obtained by quadratic integration of the filtered acceleration data in the time domain. Then calculate the straightness of the linear motion axis using the End Point Fit method, and complete the rapid measurement of the straightness of the linear motion axis of the machine tool. This can realize the rapid measurement of the geometric accuracy of the linear motion axis of the machine tool.

Abstract: An on line prediction method of part surface roughness based on SDAE-DBN algorithm. The tri-axis acceleration sensor is adsorbed on the rear bearing of the machine tool spindle through the magnetic seat to collect the vibration signals of the cutting process, and a microphone is placed in the left front of the processed part to collect the noise signals of the cutting process of the machine tool; the trend term of dynamic signal is eliminated, and the signal is smoothed; a stacked denoising autoencoder is constructed, and the greedy algorithm is used to train the network, and the extracted features are used as the input of deep belief network to train the network; the real-time vibration and noise signals in the machining process are input into the deep network after data processing, and the current surface roughness is set as output by the network.

Abstract: The invention provides a data augmentation method based on generative adversarial networks in tool condition monitoring. Firstly, the sensor acquisition system is used to obtain the vibration signal and noise signal during the cutting process of the tool; second, the noise data subject to the prior distribution is input to the generator to generate data, and the generated data and the collected real sample data are input to the discriminator for identification, the confrontation training between the generator and the discriminator until the training is completed; then, use the trained generator to generate sample data, and determine whether the generated sample data and the actual tool state sample data are similar in distribution; finally, combined with the accuracy of the deep learning network model to predict the state of the tool to verify the availability of the generated data.

Abstract: The invention provides a dynamic seal test device for cryogenic fluid medium. The dynamic seal test device includes stator unit, rotor unit, slipway, servo motor unit and sensors. The tested seal is installed inside the stator, and the thermal insulation stator and vacuum rotor together form a dynamic seal test structure. The seals and shaft sleeves can be flexibly replaced, which is beneficial to study the influence of different seal types, structure, and seal land configurations on the sealing performance. The servo motor provides power for the rotor and controls the rotation speed. The device greatly improves the thermal insulation capacity to avoid the gasification for the cryogenic fluid medium induced by the heat transfer from environment so that ensuring the stability of the test device.

Abstract: The present invention relates to a slanting-bed feed processing machine tool of a large propeller. The machine tool comprises a slanting column feed bed, a machine tool spindle, a workpiece rotary worktable, a large propeller and a bed feed mechanism. The present invention coordinates the geometrical relationship between the machine tool and the large propeller to ensure that the slanting column feed bed moves between two blades, thereby reducing the overhang length of the spindle. Different forms of workpiece rotary worktables and bed feed mechanisms are selected according to different slanting column feed beds. Four types of slanting column feed beds are designed, which can be selected, optimized and applied for different processing objects. The present invention enhances the processing stiffness of the spindle and solves the problem of poor processing quality of the large propeller caused by machine tool vibration.

Abstract: The invention provides a toolholder matched with the internal jet cooling spindle for cryogenic coolant. The toolholder is mainly composed of a hollow toolholder body, a high-performance thermal insulation structure and a bidirectional sealing structure. They can guide the cryogenic coolant from the spindle to the internal cooling channel of tool and realize the cryogenic thermal insulation and dynamic sealing. The high-performance thermal insulation structure inside the toolholder employs the material with a low thermal conductivity and a low linear expansion coefficient to restrain the low temperature impact of cryogenic coolant on the toolholder and spindle, to ensure the dimensional accuracy and assembly accuracy of the toolholder. The bidirectional sealing structure in the toolholder uses the ultra-low temperature resistant seal rings to prevent the cryogenic coolant from leaking towards the spindle and the tool, to ensure the stability of the coolant transport.