195results about How to "Structural parameter optimization" patented technology

The invention provides a quantitive type experimental device for dynamic and static performances of a static-pressure rotary table, and belongs to the field of machinery design and manufacture. According to the experimental device, a loading device (5) and a loading arm (6) are used for changing magnitude of loads or changing oil supply pressure to control the distance between a static-pressure oil cushion (10) and a rotary table disc chuck (7), a pressure sensor (12) is used for measuring pressure in an oil cavity, an eddy current displacement sensor (11) is used for measuring the thickness of an oil film, a thermocouple temperature sensor (3) is used for measuring oil temperature, a force sensor (4) is used for obtaining magnitude of loading force, a pressure gauge a (15) on a multi-head pump at an oil inlet in the oil cavity is used for measuring pressure of the oil inlet of the oil cavity, and a pressure gauge b (16) arranged between an oil pump and the multi-head pump is used for measuring the oil supply pressure of the static-pressure rotary table. By means of the experimental device, a test of the dynamic and static performances of the static-pressure rotary table is carried out under the condition that temperature is between minus 10 DEG C and 60 DEG C and pressure is not more than 100 MPa, and the experimental device provides guarantee for solving problems in engineering, optimizing structural parameters of the rotary table, and improving machining precision of the rotary table.

The invention discloses an asymmetrical voice conversion method based on deep neural network feature mapping, and belongs to the technical field of voice conversion. The asymmetrical voice conversion method based on deep neural network feature mapping disclosed by the invention is specific to asymmetrical data of source voice and target voice. The method comprises the following steps: firstly, performing probability modeling by using the pre-training function of a deep network, and extracting high-order statistics features in a voice signal to provide a standby preferred space of network coefficients; secondly, performing incremental learning by using a small quantity of asymmetrical data, and correcting network weight coefficients by using an optimized transmission error to realize mapping of feature parameters. According to the asymmetrical voice conversion method, a network coefficient structure is optimized and is taken as a parameter initial value of a deep forward prediction network, network structure parameters are further transmitted reversely and optimized in the incremental learning process of a small quantity of asymmetrical data, so that mapping of the personal feature parameters of a speaker is realized.

The invention relates to an optimization method of spraying humidification system of a direct air condenser, which is used for improving the vacuum degree of the condenser and ensuring the safe and economic operation of a generator unit. The invention adopts the technical scheme that the working performance of the air condenser under a traditional spraying humidification system is simulated through numerical values, and the influence of the distance from a nozzle to a heat transferring surface, the mounting height and the spraying direction angle of the nozzle on the pressure of the air condenser is analyzed so that the optimal value ranges of the parameters are obtained and the optimal arrangement mode of the atomizing nozzle is confirmed. The invention is used for optimizing the distance from the nozzle to the heat transferring surface and the mounting height and the spraying direction angle of the nozzle through simulating the working performance of the air condenser under the traditional spraying humidification system through the numerical values so as to acquire the optimal value ranges of the parameters, confirm the optimal arrangement mode of the atomizing nozzle, improve the vacuum degree of the condenser to the maximum extent and ensure the safe and economic operation of the generator unit.

The invention discloses a driving motor system performance evaluation method for an electric vehicle. The driving motor system performance evaluation method analyzes from different dimensions such as motor control performance, motor body design and enterprise qualification and ability of the driving motor system according to performance characteristics of a driving motor used for the electric vehicle, adopts an analytic hierarchy process to determine a driving motor performance evaluation index system and index weights thereof, establishes a BP neural network model for driving motor system performance evaluation, organically integrates a bat algorithm with a particle swarm algorithm to form a bat-particle particle swarm hybrid algorithm, and optimizes parameters of the neural network structural model by adopting the bat-particle particle swarm hybrid algorithm. Simulation examples show that, through training and testing data samples, the driving motor system performance evaluation method which optimizes the neural network based on the analytic hierarchy process and the bat-particle particle swarm hybrid algorithm has the advantages of fast evaluation speed and high accuracy rate, achieves satisfying evaluation results, and has certain promotion value in evaluation, selection and application of a driving motor system for the electric vehicle.

The invention discloses a structural parameter optimization method for a six-degree-of-freedom parallel platform. The structural parameter optimization method comprises the steps that firstly, the working space and the dexterity of the parallel platform are analyzed on the basis of a multi-target-multi-constraint algorithm; secondly, the constraint conditions for platform parameter optimization are analyzed by taking the working space size index and the dexterity index of the parallel platform as targets; and lastly, the process of the parameter optimization method is designed on the basis of a Monte Carlo method, and the optimal structural parameters, integrating the working space size with the dexterity, of the six-degree-of-freedom parallel platform are obtained. According to the method, the working space size and the dexterity of the six-degree-of-freedom parallel platform can be simply and intuitively described; the constraint conditions of the six-degree-of-freedom parallel platform in the structural parameter selection and optimization process are determined, the multi-target-multi-constraint algorithm for parameter optimization of the six-degree-of-freedom parallel platform is proposed, and structural parameter optimization can be conducted; the process of conducting structural parameter optimization through the Monte Carlo method is given, and the optimal structural parameters, integrating the working space with the dexterity, of the six-degree-of-freedom parallel platform can be obtained.

The invention discloses a design method of an automatic orienting device for big ends of eggs. The automatic orienting device for the big ends of eggs comprises a rowing region, an overturning region and a combing region in sequential arrangement. Time t1 required for an egg to complete the maximum displacement A-L on support rollers along an axial direction within the rowing section is computed via a formula, length of the rowing section is obtained according to the time t1 and the formula; length W of a bending section of each limit guide rod in the overturning region is computed via the formula; length D' of the overturning region, time t2 required for an egg to complete the maximum displacement A-L on support rollers along an axial direction within the combing region is computed, and length of the combing region is computed; and total length of a working area is obtained by summing the B, the D', the P, the length of a feeding region and the length of a discharging region. By the aid of the design method of the automatic orienting device for the big heads of eggs, structural parameters of above regions and bending sections of the limit guide rods are optimized, structural size of a whole machine is further optimized, and transmission efficiency between the eggs and the support rollers is improved.

The invention relates to a method for modeling and optimizing nerve net based on structure. Depending on the structure of system and constituent features, the complex non-linear system is decomposed to several relative simpler subsystems. The models of the sub system are built by using single artificial funciton chain neural element. The input/output is determined based on structural parameters, stimulus and response as well as historic signals. Jointing inherent action relation between each subsystem forms a model of neural net based on structure. Using said model optimizes the structural parameters. The invention provides modeling and optimizing dual functions. The advantages are structurization of model, determinate number of neural elements and fast speed of convergence.

The invention provides a high-nonlinearity dispersion flattened photonic crystal fiber with a pentagonal core. The high-nonlinearity dispersion flattened photonic crystal fiber comprises a quartz glass substrate. Micron-size air holes which are arranged according to certain rules are formed in the substrate, are axially distributed along the fiber and are perforated through the integral fiber; the arrangement rules of the air holes include that the air holes are divided into four layers, the air holes in each layer are arranged to form a regular pentagon, the innermost layer comprises five small air holes, the five small air holes are formed in five vertexes of the corresponding pentagon, and five tiny air holes are additionally formed in positions among the small air holes; the second layer comprises ten large air holes, and five large air holes are formed in five vertexes of the corresponding pentagon; the third layer, namely the second outer layer, comprises fifteen medium air holes, and five medium air holes are respectively formed in five vertexes of the corresponding pentagon; the outermost layer comprises twenty large air holes, and five large air holes are respectively formed in five vertexes of the corresponding pentagon. The high-nonlinearity dispersion flattened photonic crystal fiber has the advantage that requirements of the fields of fiber communication, nonlinear optics, optical signal processing and the like can be effectively met.

The invention provides a grating coupler and a manufacturing method thereof. The manufacturing method comprises the following steps of: providing an SOI (Silicon On Insulator) substrate and etching top-layer silicon of the SOI substrate to form a coupling grating with the period of 500-800 nm; meanwhile, separating a CMOS (Complementary Metal-Oxide-Semiconductor Transistor) active region in the top-layer silicon; manufacturing a grating oxidizing layer covering the coupling grating and the CMOS active region on the coupling grating; forming a conductive layer on the surface of the grating oxidizing layer and etching the conductive layer to form a coating structure which has the same period as the coupling grating; meanwhile, forming a gate structure of a CMOS; and finally, forming a protection layer to finish the preparation. The preparations of the coupling grating, the grating oxidizing layer, the coating structure and the CMOS can be simultaneously finished and a mask can be shared, so that the manufacturing cost is reduced; the coupling efficiency is improved by an upper conductive coating covering the grating oxidizing layer; the coupling efficiency of the grating coupler is obviously improved by optimized structure parameters; and the dependency of the coupling efficiency on the thickness of an SOI buried oxide layer is greatly reduced by a novel grating coupler structure, so that the specification requirements on the SOI substrate are reduced.

The invention provides a capacitive sensor for measuring the phase volume fraction of a two-phase flow and an optimization method of structural parameters. According to the flow characteristics of theannular gas-liquid two-phase flow, the moisture content and the gas content can be accurately measured by using electrode structures with different shapes; in the measurement process, the gas-liquidtwo-phase flow flowing state in a pipeline is subjected to real-time on-line imaging display by using a tomographic technology, so as to be helpful to deeply understand the flowing basic law of the gas-liquid two-phase flow and conveniently analyze the accuracy of the phase volume fraction measurement result. The sensor provided by the invention has the advantages of simple structure, low cost, non-contact real-time on-line measurement and the like. At the same time, the method for optimization of the sensor structure parameters is given and has many beneficial effects based on the sensitive field distribution of the structural sensor.

The invention provides an electrostatic generator based on an ultra-smooth material; the electrostatic generator comprises a stator and a rotor, wherein the rotor comprises a first conductive layer (1); the stator comprises a first insulating layer (2), a second conductive layer (3), a second insulating layer (4) and a third conductive layer (5); and the optimal structural parameters are provided,and the output efficiency of the electrostatic generator is improved. By utilizing a micro-machining process, the thickness of the first insulating layer and the thickness of the second insulating layer are reduced, so that the electrostatic resistance can be reduced to the mu N level, and the application range and the application capacity are improved. The extremely low friction force greatly reduces the energy of the friction loss, so that the conversion efficiency of the generator is improved to an extremely high level.

The invention relates to a processing process of stable-dimension knitted fabrics, and belongs to the technical field of knitted fabric processing processes. The processing process comprises the steps of material selection, yarn steaming, knitting and afterfinish. Yarns with good elasticity, high intensity and low shrinkage rate are selected; the structure parameters of loops are determined so that the structure parameters are identical to the structure parameters in the full loosening state, a proper on-machine process is selected, the yarns adopts an interweaving mode for knitting the texture structures for effectively improving the dimension stability of the knitted fabrics; and a tensile force reduction and forced contraction mode is adopted for realizing the afterfinish on the fabrics, the surface layers of bonding fiber is molten, and molten nodes are formed inside the fabrics for improving the fabric dimension stability. The technical scheme is adopted, and the processing process has the advantages that the fabric dimension stability is good, the production process is green and environment-friendly, and the like.

The invention discloses a mechanical elastic wheel structural parameter optimization design method. The method comprises the following steps of S1, establishing a mechanical elastic wheel finite element model; S2, establishing a training sample acquisition simulation work condition; S3, using a uniform design method for selecting an appropriate training sample; S4, establishing an adaptive neuralnetwork algorithm; S5, conducting network model training and result analysis. The method is simple and easy to implement and has a good application prospect.

The invention discloses a spatial structured light transmission device, wherein an extended light source is combined with a diffraction optical element. Optimized designing is performed on the structure parameter of the diffraction optical element, thereby forming the spatial structured light transmission device based on large-angle incident light, wherein the extended light source transmits large-angle incident light. The diffraction optical element is based on the design of a traditional diffraction element, and a designing restraint for aiming at an incident angle change is added so that the diffraction optical element is suitable for the large-angle incident light and a requirement for the effect of the required structured light can be satisfied. Compared with a traditional single-point light source, the extended light source has advantages of realizing larger light emitting area and more compact structure than that of the single-point light source, and greatly reducing device size. Compared with an array light source, the extended light source has advantages of realizing no directionality in a plane which is parallel with the diffraction optical element, reducing a production requirement, increasing tolerance and realizing lower cost.

The invention discloses a collector air inlet device of a centrifugal fan. A collector comprises an arc surface. A flow guide unit is arranged on the arc surface. The flow guide unit is fixedly connected with the arc surface as a whole. The highest point of the arc surface is tangent to the flow guide unit. The optimized air inlet collector does not generate great effect on the aerodynamic performance of the fan. The structure is relatively simple, and machining and shaping are easy. The replaceable flow guide unit component of the air inlet collector can be selected based on noise characteristics of the centrifugal fan, and structure parameters are optimized. The flow guide unit, as a replaceable component, has the characteristic of being convenient to use.

The invention discloses a magnetorheological fat-based self-powered damping adjustment device, which comprises a damping system and an energy conversion and storage system, wherein the damping system comprises a magnetorheological fat working cylinder and a magnetorheological fat damping adjustor for adjusting the pressure difference of two working cavities of the magnetorheological fat working cylinder to form a damping force; and the magnetorheological fat damping adjustor is supplied with power by an electrical energy storage circuit of the energy conversion and storage system. The magnetorheological fat is adopted as a damping medium and has high stability in long time, and the energy conversion and storage system converts alternating pulse pressure fluctuation generated by structural vibration in the two cavities of the magnetorheological fat working cylinder into electrical energy to realize novel efficient vibration energy collection and storage, provide the electrical energy for the magnetorheological fat damping adjustor and ensure the energy supply of the whole magnetorheological controllable damping system without needing external energy input.

The invention discloses a trapezoid tooth labyrinth seal structure parameter optimization method. It is proposed that by taking a minimum value of a labyrinth seal leakage quantity as an objective function of structure parameter optimization, a multi-parameter coupling optimization model is built; optimization solving of labyrinth seal performance under the multi-parameter coupling effect is performed based on an MMA algorithm; and optimal combination design parameters of a labyrinth seal structure is searched for, so that an effective labyrinth seal structure optimization method is formed. The method makes up for an existing structure parameter optimization method under the influence of a single seal structure parameter, performs operation of determining a response level of each parametervalue to the leakage quantity under the multi-parameter coupling effect, and has the characteristics of high solving speed, best optimization value and the like.

The invention discloses a local discharging sensor combining a graphene diaphragm with a micro optical fiber interference cavity and a detection method based thereon. The local discharging sensor comprises a tunable laser device (1), a laser device wavelength control module (2), an optical fiber circulator (3), monomode optical fiber (4), the micro optical fiber interference cavity (5), a photoelectric detector (6), a signal line (7), a filter (8) and a data collection card (9). A multilayer graphene membrane is adopted, so that detection sensitivity of the sensor is improved; on the basis ofstructure optimization design of the multilayer graphene membrane, the multilayer graphene membrane is enabled to adapt to local discharging detection frequency band requirements; a polyimide coatingis adopted to prolong service life of the multilayer graphene membrane; femtosecond laser is adopted to process the micro optical fiber interference cavity inside optical fiber, and a static-state working point is stabilized on the basis of laser device wavelength control. On the basis of optimization design of a detection device mounting mode, original working environment of electrical equipmentis unaffected during mounting of the local discharging sensor.

The invention provides a liquid rocket thrust chamber test run inner wall temperature calculation method and calculation equipment. The calculation method comprises the steps that distribution data ofan outer wall temperature measurement value of a thrust chamber along the axis of the thrust chamber are acquired; the thrust chamber is divided into n temperature sections in the axis direction of the thrust chamber, wherein n is larger than or equal to 2; the outer wall temperature measurement value i of the ith temperature section is greater than or equal to 1 and less than or equal to n; thevalue of i is gradually increased in the direction from the upstream of a cooling flow path to the downstream of the cooling flow path; according to a heat transfer function relationship, calculationis conducted to obtain the heat transfer amount of the inner wall of the ith temperature section when the calculated value of the outer wall temperature of the ith temperature section is equal to themeasured value of the outer wall temperature of the ith temperature section, and calculation is conducted to obtain the cooling outlet temperature Tci and the inner wall temperature of the ith temperature section corresponding to the heat transfer amount of the inner wall of the ith temperature section. According to the calculation method disclosed by the invention, the thrust chamber inner wall temperature can be obtained according to a test run experiment result.

The invention relates to the field of electromagnetic metamaterials, in particular to a graphene-vanadium dioxide metamaterial absorber and a tunable terahertz device. The metamaterial absorber is of a multi-layer structure, and according to the structural sequence from top to bottom, the metamaterial absorber comprises a vanadium dioxide resonator array, a continuous graphene layer, a Topas dielectric layer and a metal layer. The vanadium dioxide resonator array comprises a plurality of resonator units which are arranged in an array along the horizontal plane and are made of vanadium dioxide materials, each resonator unit is in an integrated I shape, and an included angle smaller than 90 degrees is formed between each resonator unit and the X-axis direction of the horizontal plane. The continuous graphene layer is formed by arranging single-layer carbon atoms; the vanadium dioxide resonator array is attached to the upper surface of the continuous graphite layer. The Topas dielectric layer is positioned below the continuous graphene layer. The metal layer is located below the Topas dielectric layer. The device overcomes the defects that a traditional metamaterial absorber is poor in tunability, single in function and insufficient in performance index.

The invention discloses a photonic crystal fiber directional coupler. Host material (1), holes (2) and holes (3) form fiber cores and a cladding, wherein the holes (2) and the holes (3) are formed in the host material (1). Centers of the holes (2) and the holes (3) are respectively located on nodes of a right triangle structured grid. The number of the fiber cores is three, where the first fiber core (4) is arranged on a center area of the host material (1), the right triangle structured grid misses a hole to from the first fiber core (4), the second fiber core (5) and the third fiber core (6) are symmetrically located on two sides of the first fiber core (4), the right triangle structured grid respectively misses a hole to from the fiber core (5) and the fiber core (6), air holes around innermost layers of the fiber core (5) and the fiber core (6) are the holes (2) and the holes (3), and the relationship of the diameter d2 of the holes (3) and the diameter d1 of the holes (2) satisfies that d2 >=d1. According to the photonic crystal fiber directional coupler, the diameters of the cladding air holes (3) of the fiber cores (the fiber core (5) and the fiber core (6)) on two sides are changed, and the advantages of being wide in wavelength coverage operation, insensitive to the fiber length and low in transmission loss and polarization relevant loss and other advantages are achieved.

The embodiment of the invention discloses a structure optimization method and device of a liquid cooling system. The method includes: obtaining a first structural parameter of the liquid cooling system, the first structural parameter is simulated, the first performance parameter of the liquid cooling system is obtained, the first performance parameter is a performance parameter of a liquid coolingsystem having a first structural parameter, if the first performance parameter satisfies the first preset condition, it is shown that the liquid cooling system with the first structural parameter hasbetter performance, At this time, the first structural parameter may be determined as the target structural parameter of the liquid cooling system, if the first performance parameter does not satisfythe first preset condition, the performance of the liquid cooling system with the first structural parameter does not meet the requirements, At this time, that first structural parameter can be adjusted accord to the first preset condition, and the performance parameters corresponding to the adjusted structural parameter tend to meet the first preset condition, and the structural parameters of the liquid cooling system can be automatically adjusted, so that the optimization efficiency and the optimization accuracy of the structural parameters of the liquid cooling system can be improved.