64results about How to "Excellent process parameters" patented technology

The invention provides a reduction control device and method for N2O produced in the denitrification dephosphorization process and belongs to the technical fields of automatic control of an activated sludge process treatment system and wastewater biological denitrification dephosphorization by means of a sequencing batch reactor (SBR) process. Aiming at solving the technical problem that sodium nitrite adopted to serve as an electron acceptor produces N2O in the denitrification dephosphorization process in the existing SBR process, the device uses an SBR as a main body and comprises a water distribution tank, a peristaltic pump, a magnetic stirring apparatus, an acid adding system, an alkali adding system, an on-line control system connected with a computer and a N2O on-line detecting system. The on-line control system is connected with a water inlet peristaltic pump, a mud discharging system, the acid adding system, the alkali adding system, a temperature control device, the stirring apparatus, a drain valve, a relay on a magnetic valve of a nitrogen aerating system, an oxidation reduction potential (ORP) sensor, a pH sensor and a dissolved oxygen sensor. The N2O on-line detecting system is connected with a N2O microelectrode. The whole process is automatically finished through a programmable logic controller (PLC) of the computer, and the N2O on-line detecting system performs quantitative analysis to the nitrogen conversion condition to confirm dominant mechanism and influencing factors for the N2O production in the denitrification dephosphorization process.

The invention discloses an injection molding defect online correcting method and an injection molding machine. The method comprises the following steps: (1) determining optimization parameters and number; (2) setting background data according to injection molding technological parameters required to be optimized and defect types; (3) testing a mold and feeding back the quality; (4) carrying out normalization processing on the test mold technological parameters; (5) solving the optimal problem; (6) calculating the optimal hyperplane of the technology; (7) calculating the corrected technological parameters; (8) carrying out inverse normalization on the technological parameters, acquiring the actual test mold technological parameters, and testing the mold. The invention also provides the injection molding machine based on the online correction injection molding defect method. According to the invention, the sample data are subjected to pretreatment, and rules are introduced into the test mold data in the form of background data; the problem of organization and expression difficulty of rules of an expert system and reasoning based on rules, as well as the problems of high requirements for samples and collection difficulty for artificial neural network and living example reasoning can be overcome.

The invention discloses mono-disperse gallium oxide powder and a method for preparing high-density ceramic targets from the mono-disperse gallium oxide powder. The method includes dissolving metal gallium materials with the purity higher than 99.99% in acid and preparing clear gallium salt solution; adding precipitants into the clear gallium salt solution to generate precipitates; washing, filtering, drying and calcining the obtained precipitates to obtain the mono-disperse ultrafine gallium oxide powder; carrying out compression molding and cold isostatic pressing strengthening on the synthesized mono-disperse gallium oxide powder to obtain gallium oxide green bodies; sintering the green bodies in high-temperature furnaces to obtain the high-density gallium oxide ceramic targets with uniform microscopic structures. The mono-disperse gallium oxide powder and the method have the advantages of simple process, convenience in operation, high yield, applicability to industrial production and the like.

The invention discloses a method for producing metallurgy-grade alumina by taking pulverized fuel ash and recycled ammonium salt as raw materials. The method comprises the following steps: (1) preparing materials; (2) roasting; (3) dissolving; (4) crystallizing; (5) carrying out a liquid-solid ammonolysis reaction; (6) grinding and removing sulfur; and (7) performing low-temperature Bayer aluminum production. The method disclosed by the invention has the advantages that an aluminum salt ammonolysis method suitable for strong acid and weak base is adopted, namely liquid-solid or gas-solid ammonolysis is performed, the production efficiency is improved by over 60 percent compared with that a liquid-liquid ammonolysis method, the process conditions of the ammonolysis method are optimized, optimal process parameters are determined, the obtained product, namely crude aluminum hydroxide, is easy to filter and wash, the model selection of equipment is simple, and industrial mass production can be realized.

The invention discloses an optimization design method for preforming of turbine disk forgings. The method comprises the steps that 1, the geometrical shape of a preforming die is designed, the size of the preforming die is parameterized, and a Plackett-Burmans (PB) experiment design method is utilized to determine key influence parameters; 2, the key influence parameters determined in the step 1 are used as optimization parameters, and a general rotary combination design method is adopted to determine experiment schemes; 3, a finite element method is adopted to perform simulation on all the schemes to obtain an experiment result, a second-order response surface model is utilized to fit out a response surface, optimizing is performed based on an optimization objective function for optimizing to find out an optimal parameter combination. Through the method, the preforging forming technology of turbine disks can be effectively optimized, and it is guaranteed that deformation of the forgings and uniformity of organization are optimal.

The invention relates to a method for extracting galla chinensis tannic acid with the assistance of radiation pretreatment. The method comprises the steps of firstly carrying out radiation pretreatment on galla chinensis, namely a raw material, by adopting Co<60>-gamma rays, and then extracting the galla chinensis tannic acid by adopting a water extraction method. According to the method, the galla chinensis serves as the raw material, and the galla chinensis tannic acid, namely a product, is extracted through the radiation pretreatment of the high-energy Co<60>-gamma rays, so that the yield and purity of the tannic acid are improved in a safe and nontoxic manner; and when the method is applied to industrial production, galla chinensis resources can be utilized more sufficiently, and the high-value utilization and environment-friendly and chemical production of galla chinensis tannic acid resources are embodied sufficiently.

The invention relates to an iron-based amorphous iron core production system and a preparation method thereof. The system comprises a discharging mechanism, a leveling mechanism, a feeding mechanism,a jet flow cutting device, a waste recycling mechanism, a tunnel type annealing furnace, a forming overlying mechanism, a gum dipping device and a curing oven which are sequentially arranged from leftto right in the conveying direction. A workpiece cleaning device and a first transfer robot are arranged between the jet cutting mechanism and the waste recovery mechanism, and the cleaning device and the first transfer robot are arranged on the two sides of a strip correspondingly; and a second transfer robot is arranged between the tunnel type annealing furnace and the forming overlying mechanism. Continuous production of the iron core is achieved, annealing and forming stacking are conducted in sequence, defective punching sheets can be found earlier, and the defective rate of finished products is reduced.

The invention relates to a high-strength aluminum/magnesium dissimilar alloy connector containing an intermediate layer, and a preparation method thereof. The connector sequentially comprises an aluminum alloy, a Zr intermediate layer and a magnesium alloy from top to bottom, wherein the intermediate layer is a Zr foil with the thickness ranging from 0.05 to 0.25mm. According to the preparation method, the combined action of a solid-phase welding technology, the intermediate layer and environment cooling is adopted for preparing a dissimilar light metal connector, namely, the aluminum/magnesium dissimilar alloy connector containing the Zr intermediate layer is prepared in a water-cooling environment by utilizing a friction stir welding technology, so that the target dissimilar alloy is obtained. According to the high-strength aluminum/magnesium dissimilar alloy connector containing the intermediate layer, and the preparation method thereof provided by the invention, the welding heat input is reduced, and a tissue structure of the connector is improved, so that a mechanical property of the connector is improved.

The invention discloses an optimization method of a process for repairing an axial surface wear part by laser cladding, which realizes the analysis of a nonlinear problem of a material by defining thermophysical parameters of the material changing along with temperature and ensures the reliability of an analysis process. A heat source model is defined as a body heat generation rate model, so thata molten powder heat transfer process in a coaxial powder feeding mode can be accurately simulated; by adopting an APDL programming mode under a cylindrical coordinate system, the simulation process of laser cladding on the axial surface of the part can be realized; calculation is carried out by adopting an indirect sequential thermal-structural coupling mode, advanced temperature field calculation is carried out, then stress field calculation is carried out, the number of coupling equations is small, and convergence is easy.

The invention discloses a method and device for optimizing the nitrogen oxide emission of a combustor. The method comprises the steps that S1, operating parameters needing to be optimized for low-nitrogen combustion of the combustor are determined; s2, simulating the discharge amount of nitrogen oxide of a combustor through Fluent when different operating parameters are combusted under a rated load; s3, obtaining a response surface equation according to the different operation parameters and the corresponding discharge amounts; and S4, optimizing the operation parameters of the combustor through the response surface equation. According to the method, a design experiment is carried out on simulation through a response surface method, the influence of multiple factors on the emission amountof nitrogen oxide (NOx) of the combustor is considered, and therefore the optimal technological parameters are obtained, and the emission amount of nitrogen oxide (NOx) of the gas combustor can be effectively reduced.

The invention discloses a preparation method of gold nanoparticles as an electron microscope developer and the obtained gold nanoparticles. According to the preparation method, chloroauric acid is used as a precursor material, hexadecyl trimethyl ammonium bromide is used as a stabilizer, sodium borohydride is used as a reducing agent, an oxidation-reduction reaction is carried out in a supergravity rotating packed bed, and the gold nanoparticles are obtained. The invention further provides the gold nanoparticles prepared by the preparation method. According to the preparation method of the gold nanoparticles, better process parameters are obtained by adjusting the feeding flow rate and the rotor rotating speed of the supergravity rotating packed bed, convenience and safety are achieved, continuous production can be achieved, the obtained gold nanoparticles are uniform in morphology and size, the particle size of the gold nanoparticles is 1-3 nm, and the size of the gold nanoparticles is smaller than that of common gold particles; and and the particles are good in dispersity and long in storage time.

The invention belongs to the technical field of biomass utilization, and particularly discloses a nanometer Na/Fe composite type solid acid catalyst and a preparation method and application thereof. The preparation method of the catalyst comprises the following steps that ferrous chloride and ferric chloride are mixed to be uniform under the action of hydrochloric acid according to the certain ratio, then, sodium hydroxide is dropwise added, and the nanometer Na/Fe composite type solid acid catalyst is prepared through a forward sedimentation method. Biomass and the prepared nanometer catalystare mixed according to the certain ratio, pyrolysis is performed under the inert atmosphere, and the high-selectivity furfural product can be obtained. The catalyst is simple in preparation process,low in cost, high in selectivity, capable of solving the problems that in the prior art, furfural selectivity is low and few by-products are produced, and capable of achieving biomass directional conversion and high-value utilization.

The invention discloses a steel wire cutter body laser heat treatment technological parameter optimization method. According to the steel wire cutter body laser heat treatment technological parameteroptimization method provided by the invention, the outstanding fitting ability of an artificial neural network to a multivariate nonlinear mapping relation is firstly utilized, digging and learning are performed from test data, a mapping relation of laser heat treatment technological parameter including the laser power, the scanning speed and the defocusing amount and the corresponding microhardness is established finally, and a prediction method of the steel wire cutter body laser heat treatment technological parameters is established on the basis of the mapping relation; and then a genetic algorithm is adopted to perform operation on artificial neural network prediction data to obtain optimal laser heat treatment technological parameters, and the purpose of optimization is achieved.

The invention relates to a rigidity-controllable material oriented to a material increase manufacturing technology and a manufacturing method thereof. The rigidity-controllable material comprises, by mass, 10-40 parts of acrylic oligomer, 60-90 parts of alkyl acrylate and 0.1-3 parts of ultraviolet light photoinitiator, and the acrylic oligomer, wherein the alkyl acrylate and the ultraviolet light photoinitiator are sequentially mixed and evenly stirred to prepare a photocuring raw material; a three-dimensional model for a rigidity-controllable material device is built, discretization is carried out on the surface of the three-dimensional model to generate a three-dimensional digital model file, and a machining file capable of being identified by a material increase manufacturing device is led out after supporting adding, model layered discretization and machining path generation are carried out on the three-dimensional digital model file; the photocuring raw material is manufactured into the rigidity-controllable material device through the ultraviolet light polymerization material increase manufacturing technology. The obtained device is variable in structure, the rigidity controlling performance is excellent, and the rigidity-controllable material has the advantages of being high in efficiency, low in cost and high in accuracy; the glassy state Yang modulus value is approximately 500 times of the rubbery state Yang modulus value, and the response speed of the Yang modulus along with changes of the temperature is high.

The invention discloses a testing device for simulating a flow field in a continuous casting crystallizer. The testing device includes a water tank, a crystallizer model and a water recycling tank; wherein an industrial water inlet is formed in the water tank, an immersion water opening is formed in the top of the crystallizer model in an inserted mode, the upper part of the immersion water opening communicates with the water tank, a first flow regulating valve is arranged between the water tank and the immersion water opening, the water recycling tank communicates with the bottom of the crystallizer model and the water tank, and a second flow regulating valve is arranged between the crystallizer model and the water recycling tank; and a self-priming pump is arranged between the water recycling tank and the water tank, a container is arranged on the outer side of the crystallizer model, the bottom of the container communicates with the bottom of the crystallizer model, and an overflowopening is formed in the side of the container. By means of the testing device for simulating the flow field in the continuous casting crystallizer, the liquid level of the crystallizer model can be accurately controlled, and the width of an inner cavity of the crystallizer model and the taper of an inner billet shell of the crystallizer model can be adjusted.

The invention relates to an optimal parameter determination method for researching the hot oil spraying and heating process of an oil storage tank, and the method comprises the steps: determining a decision variable according to factors affecting the hot oil spraying and heating effect of the oil storage tank in an actual production process; acquiring the actual measurement data of the hot oil spraying and heating process in the experiment storage tank under different parameters, taking the field cooperation angle, the uniformity, the heating efficiency and the average temperature rising speedas indexes for evaluating the heating effect, determining the weight of each index, and obtaining a target function through calculation; establishing a support vector machine model through the decision variable and the target function; generating an initial population with the size of M based on the support vector machine model, and optimizing the target function by adopting a genetic algorithm;taking the optimal variable as an experimental parameter to carry out an indoor simulation experiment to obtain a corresponding target function, and if an error between the target function and a support vector machine result exceeds a certain range, repeating iteration until the error is smaller than the certain range. According to the method, the optimal process parameters can be found, and the calculation precision is ensured to a great extent.