175results about How to "Meet the actual production requirements" patented technology

The invention discloses a copper casting mould rapidly moulded by a hot spraying technology and a manufacturing method of the copper casing mould. The copper casting mould sequentially comprises a heat-conducting layer, a transition layer and a heat corrosion-resistant layer from the inside to the outside, wherein the heat-conducting layer is formed by thermally spraying a high-heat conductivity metal material onto the surface of a substrate material; the transition layer is formed by thermally spraying a metal material with high deposition efficiency and corrosion resistance onto the heat-conducting layer; the heat corrosion-resistant layer is formed by thermally spraying an alloy ceramic material with high hardness and high heat corrosion resistance onto the transition layer. The copper casting mould is high in cost performance, and short in production cycle, and has excellent heat conductivity, heat corrosion resistance and hardness; by the manufacturing method, actual production requirements can be met; the manufacturing method is applicable to the field of manufacturing of a copper casting mould and other moulds; the copper casting mould has a good application prospect and economic benefits.

The invention discloses a hot-rolled strip steel plate convexity prediction method based on deep learning, and the method comprises the following steps: S1, collecting and recording strip steel production data, and carrying out the preprocessing, including missing value deletion, abnormal value deletion and normalization, of the collected data; S2, according to the strip steel production data, removing redundant and irrelevant attributes in the collected data through an attribute selection method based on a Morita index, and screening a minimum number of attributes capable of representing plate convexity changes to form an input variable set of a forecasting model; and S3, establishing a strip steel outlet plate convexity prediction model based on the deep and wide convolutional neural network based on the input variable set so as to obtain the hot rolled strip steel outlet plate convexity. According to the method, high-order features and invariant features of the data are extracted byusing the convolutional layer in the convolutional neural network, the local correlation between the variables is learned, and the global feature learning ability of the deep neural network is combined, so that the plate convexity prediction precision is remarkably improved.

The invention discloses a production process of a PVA (polyvinyl alcohol)-based composite packaging material, relating to the field of film packaging materials. The production process comprises the following three technical processes: preparation of dialdehyde starch, preparation of jute fibers and preparation of a PVA-based composite film. According to the process method, in the preparation process of the dialdehyde starch, corn starch is used as a raw material, no pollution is caused, the cost is low, the raw material is sufficient, a far-infrared quick constant-temperature drying box is used as drying equipment, the dialdehyde starch is dried sufficiently, and no impurity is doped; in the preparation process of the jute fibers, the temperature control is reasonable, a right amount of reagent is added, the jute fibers are pulverized through a YSC-701 type ultrafine pulverizer, and the pulverized fibers are small in particle size and favorable in pulverization effect; and in the preparation process of the PVA-based composite film, parameters such as addition of each component, temperature, time and the like are strictly controlled, thereby ensuring that the prepared PVA-based composite film has favorable mechanical property and water resistance and can meet the requirements for practical production. By using the biological material as the raw material for production, the PVA-based composite film produced by the process is low in cost and degradable, thus greatly reducing environmental pollution.

The invention relates to a preparation method and an application of an iron hydroxide/bismuth vanadate composite photocatalyst. Bismuth vanadate and a composite photocatalyst thereof are prepared with a hydrothermal method; the obtained bismuth vanadate powder adopts a flaky monoclinic structure phase. A template and an organic surfactant are not used, the bismuth vanadate powder in a flaky structure can be obtained by controlling the dosage of ethanolamine, and the supporting amount of iron hydroxide on bismuth vanadate can be controlled by controlling the mass ratio of bismuth vanadate to an iron salt aqueous solution; when the composite photocatalyst is applied to photocatalytic water splitting for oxygen generation, iron hydroxide and bismuth vanadate overcome the defect of high probability of recombination of photon-generated carriers of bismuth vanadate due to different conduction band positions and different valance band positions, and the composite photocatalyst has high photocatalytic water splitting activity for oxygen generation. Further, a preparation process is simple and convenient, the production cost is lower, the actual production requirement is met, and the process is simple and easy to operate.

The invention discloses a method for preparing medium-high vinyl block-free solution-polymerized butylbenzene and a product thereof. The method mainly comprises the following steps of: A, undergoing a polymerization reaction on a vinyl aromatic hydrocarbon and an insufficient reacting dose of conjugated diene; and B, continually reacting the remaining reacting dose of conjugated diene. In a medium-high vinyl block-free solution-polymerized butylbenzene product, the content of a styrol block is zero, and the content of the vinyl is between 25 percent and 60 percent. In the method, n-butyl lithium is taken as an initiator for anionic polymerization, a compound product of alkyl tetrahydrofurfuryl ether and sodium alkyl benzene sulfonate is taken as a structure modifier, the alkyl tetrahydrofurfuryl ether can effectively adjust the content of vinyl in the product, the sodium alkyl benzene sulfonate can always keep high reaction activity, and further tail end functionalization is promoted; and high-temperature continuous polymerization is adopted, so that the produce efficiency of the product can be increased, and the product with wide molecular weight distribution can be produced; and the styrol block in the product is eliminated through stepwise reaction, so that practical requirements on production can be met.

The invention relates to an ethylene-propylene-diene monomer material used for an electric wire and a preparation method of the ethylene-propylene-diene monomer material. The ethylene-propylene-diene monomer material comprises the following components in parts by weight: 85-115 parts of an ethylene-propylene-diene monomer, 2.5-10 parts of acrylic acid, 1.5-7 parts of sodium stearate, 1.5-6 parts of an initiator, 2.5-8 parts of an antiager, 0.5-1.5 parts of an inorganic filler and 1-2 parts of a fire retardant. According to the preparation method, a mixture is added to a double-screw extruder to carry out extrusion pelleting. The ethylene-propylene-diene monomer material used for the electric wire is high in strength, good in anti-aging, good in flame retardant property, stable in power supply property and convenient to process.

The invention provides butenedioic acid resin, a preparation method thereof, and preparation of a degradable micro-scale lubricant therewith. The butenedioic acid resin is characterized by being prepared from following raw materials: butenedioic acid or butenedioic acid anhydride and fatty alcohol, wherein the molar ratio of the butenedioic acid or the butenedioic acid anhydride to the fatty alcohol is 1:1.9-2. Raw materials for preparing aluminum-casted crystallizer demoulding oil include the butenedioic acid resin. The aluminum-casted crystallizer demoulding oil is stable, is uniform in dispersion and is low in kinematic viscosity.

The invention discloses a manufacturing system comprehensive evaluation method based on improved data envelopment analysis. On the basis of a traditional data envelopment analysis model, uncertainty and fuzziness of production factors in a complex manufacturing system are taken into account, triangular fuzzy numbers are introduced to represent the production factors, and a fuzzy data envelopment analysis and evaluation model is built. In order to avoid the situation that certain input/output factors are depended on excessively or neglected during the manufacturing system evaluation process, the concept of a guarantee domain is introduced into the model, as a result, it is guaranteed that the weight values of all the production factors are within a reasonable range, and a fuzzy data envelopment analysis/guarantee domain model is built. An alpha cut set is introduced to calculate the upper bound and the lower bound of manufacturing system fuzzy effectiveness, a sorting method is disclosed to sort the upper bound and the lower bound, and it is the most effective manufacturing system that has the highest ordering index. The manufacturing system comprehensive evaluation method based on improved data envelopment analysis breaks the restraint of constant returns to scale in the production process of the manufacturing system, and has practical significance in actual production systems.

The invention provides a preparation method of a lithium-sulfur battery positive electrode. The preparation method comprises the following steps: uniformly mixing an active substance sulfur, a conductive agent and a binder to obtain a mixture, then adding a dispersing solvent into the mixture, and uniformly mixing to obtain electrode slurry; uniformly coating a positive electrode current collectorwith the electrode slurry to obtain a wet electrode coated with the slurry; freezing the wet electrode coated with the slurry in a low-temperature environment of -80 to -5 DEG C for 1-5 hours until the wet electrode is frozen and formed, so that the dispersing solvent in the wet electrode is solidified and crystallized to obtain a solidified electrode; placing the solidified electrode in a vacuumenvironment with the vacuum degree of 0.1-100Pa for 1-5 hours, so that solid-phase sublimation of ice crystals in the solidified electrode is carried out to obtain a solid-phase sublimated electrode;and carrying out rolling treatment on the solid-phase sublimated electrode, and controlling the porosity of the electrode to be 50-70% to obtain the lithium-sulfur battery positive electrode. The preparation method is simple, and the problem of electrode cracking in the preparation of a high-sulfur-carrying positive electrode by adopting a traditional hot drying method is effectively solved.

The invention discloses a method for preparing a work layer on the surface of a process roller of a cold rolling unit, which comprises the thermal spraying of a metal ceramic coating on the surface of the process roller. The method comprises the following steps: firstly, cleaning and activating a thermal spraying coating on the surface of the process roller; secondly, chemically plating a Ni-P layer, wherein chemical plating solution comprises 30g/l of nickel sulfate, 25g/l of sodium hypophosphite, 15ppm of activator, 5g/l of accelerator, 10g/l of lactic acid and 15g/l of citric acid; thirdly, immersing the process roller into the plating solution, wherein the temperature of the plating solution is between 80 and 100 DEG C, the nickel content is 88 to 92 percent, and the phosphorus content is 8 to 12 percent; and finally, when the thickness of the chemical plating layer reaches 0.01 to 0.02mm, stopping the chemical plating, performing thermal treatment at the temperature of between 50 and 450 DEG C, and preserving the heat for 0.5 to 5 hours. The work layer on the surface of the process roller prepared by the method has abrasion resistance, impact resistance, roughness retention capacity and excellent anti-adhesion performance, meets the operating requirement of long term and stability of the process roller, and prolongs the service life of the process roller.

A preparation method of water-soluble chitosan-oligosaccharide comprises the following steps: (1) dissolving chitosan in an acetic acid solution to prepare a chitosan acetic acid solution with a concentration of 2.0-4.0 g/ml; (2) heating to 55-65 DEG C, adding a 1-5% H2O2 solution according to a molar ratio of the chitosan to hydrogen peroxide of 1:1.5-1:2.5, adjusting the pH to be 5.5-6.5, continuously stirring for hydrolyzation to obtain a hydrolysate; (3) sampling, adding strong alkali liquor till no flocculent precipitate is generated so as to determine the hydrolysate; (4) continuously performing hydrolyzation for not more than 2 hours; (5) adding a degradation reaction terminator to obtain a preliminary product; (6) processing the preliminary product by a spray-drying process to obtain the water-soluble chitosan-oligosaccharide. Compared with the prior art, the invention has the advantages that: the degradation reaction terminator is used for controlling the degree of the degradation reaction so as to control the weight average molecular weight of the obtained chitosan-oligosaccharide; real production requirements are met; and large scale production requirements are met.

The invention discloses a method for obtaining a reservoir group multi-objective scheduling risk analysis optimal equilibrium solution. The method comprises the acquisition of a multi-objective scheduling risk analysis noninferior solution, the calculation of a uniformity rate decision method of multi-objective scheduling risk analysis, and the calculation of a risk and benefit conversion relation and a threshold determination process in multi-objective scheduling. In the acquisition of the multi-objective scheduling risk analysis noninferior solution, firstly a cascade reservoir combined dispatching multi-objective minimum risk model is established, then a scheme is obtained through a selection operation in a genetic algorithm to carry out non-dominated sorting, and through the continuous renewal and elimination of crossover and variation operations in the algorithm, finally a solution curve or curve surface formed by a solution set is outputted. In the calculation process of the uniformity rate decision method of the multi-objective scheduling risk analysis, and based on a uniformity rate, a decision mode of the optimal equilibrium solution is determined. In the process of the calculation of a risk and benefit mutual conversion relation and a threshold determination process in multi-objective scheduling, based on the bifurcation theory, the threshold of a risk and benefit conversion relation between objectives is analyzed and determined.

The invention provides a thermal power generating unit monthly power generation plan optimization method considering new energy access, and relates to the field of power generation scheduling of a power system. The method comprises the following steps: firstly, acquiring information of each thermal power generating unit in a provincial power system, and establishing a monthly thermal power generating unit combination optimization model; making a monthly startup rule of the thermal power generating unit, and checking the maximum and minimum total output of the thermal power generating unit to obtain a monthly startup plan of the thermal power generating unit; solving the model to obtain a monthly output plan of the thermal power generating unit; optimizing a unit shutdown plan based on a monthly shutdown rule of the thermal power unit; and finally, obtaining a monthly power generation plan optimization scheme of the thermal power generating unit composed of the three plans. According tothe method, the monthly power generation plan meeting the actual engineering requirements can be efficiently calculated, the actual production requirements of power dispatching under tens of thousands of variable levels of provincial power companies are effectively met, and the method has important practical significance.

The invention relates to a pure niobium purification process including the steps of material preparation, material mixing, reduction furnace cleaning, reducing, discharging, crushing, screening, vacuum electron beam furnace cleaning, charging, primary smelting with a vacuum electron beam furnace, primary cooling, secondary smelting with the vacuum electron beam furnace, secondary cooling, discharging, sampling analysis and finished product obtaining. The process is rigorous in steps, the purification efficiency is high, and the purification purity is high.

The invention discloses a method for removing iron, aluminum and silicon from a nickel-cobalt-manganese-copper solution under normal pressure. The method comprises the following steps that 1) a rough nickel-cobalt-manganese-copper raw material is taken and mixed with water to form slurry, then acid and a reducing agent are added for leaching, the pH value at the leaching end point is smaller than or equal to 2.5, and the Fe<2+> content is controlled to be proper; (2) after the leaching slurry is subjected to dense separation, supernate and a precipitator are added, in a parallel flow mode, into liquid which contains nickel, cobalt, manganese and copper without iron, aluminum and silicon at the temperature of 70-100 DEG C, and heat preservation is conducted, wherein the precipitator is a rough nickel-cobalt-manganese-copper raw material with the solid content being 1-50%, and the pH value of the liquid without iron, aluminum and silicon ranges from 3.0 to 4.0; and 3) the slurry is subjected to solid-liquid separation, filtrate is as an extraction stock solution, water is added into removed iron-aluminum-silicon slag and leaching slag to prepare slurry with the solid content being smaller than or equal to 50%, acid is added to regulate the pH value to 2.0-3.5, a reducing agent is added to enable the Fe<2+> concentration to be greater than or equal to 0.1g/L, the removed iron-aluminum-silicon slag and the filtrate are obtained after solid-liquid separation, and the filtrate is fed to a leaching section for leaching raw materials. According to the method, auxiliary materials and hazardous chemicals do not need to be used for removing iron, aluminum and silicon, other elements are not introduced either, the purposes of lowering the cost of the auxiliary materials and the salinity of wastewater are achieved, and the sewage treatment pressure is lowered.

The invention belongs to the technical field of power equipment units, in particular discloses an isolating switch heating-preventing device composed of a shunt short jumper and 2-4 shunt wire fixing rings, wherein the two ends of the shunt short jumper are respectively provided with a lead wire clamp. By adopting the device, overheating of parts of a conducting loop of an isolating switch can be effectively avoided, and the temperature thereof is controlled to be within the range of normal operation, thus reducing frequency of power cut for repairing and improving power supply reliability, and the device has the advantages of low labour intensity, safety and reliability, simple structure as well as economy and practicability, and is rapid in mounting, convenient to use, easy to implement.

The invention discloses a hot-rolling scheduling method for compact strip production. The method comprises the steps of constructing a hot-rolling production scheduling model including a non-outsourcing material optimization model and a plate blank thickness optimizing model with the target of minimizing the quantity of non-outsourcing materials, minimizing the maximum thickness change amount of two adjacent plate blanks in the same rolling unit, and minimizing the changing time of the thickness of the plate blanks; determining the constraint conditions of the non-outsourcing material optimization model and the plate blank thickness optimizing model according to technological constraints in an actual hot-rolling production process; adopting an improved heuristic algorithm to solve the non-outsourcing material optimization model to obtain the quantity of optimal rolling units and the quantity of the non-outsourcing materials; adopting a multi-objective evolutionary algorithm based on decomposition to solve the plate blank thickness optimizing model to obtain the optimal change value of the thicknesses of adjacent plate blanks and the optimal thickness changing time. According to the comparison between a scheduling plan obtained through the hot-rolling scheduling method and a production plan which is worked out manually, the plate blank specification skip cost and roll replacement cost can be effectively reduced, and thus the production cost is lowered.