28results about How to "Optimizing Process Parameters" patented technology

This application belongs to the field of carbon fiber tube manufacturing technology, and discloses a carbon fiber tube centrifugal forming manufacturing system and process. The carbon fiber tube centrifugal forming manufacturing system includes a mold assembly and a centrifugal drive assembly. The mold assembly includes a module frame, individual frames, and mold components. The module frame is detachably connected to several individual frames, and the individual frames are detachably connected to several mold components. The mold components include a tubular mold with external hexagonal sleeves at both ends and detachably connected plugs at the ends. The centrifugal drive assembly includes a housing, a motor, and a platform. The housing and motor are mounted on the platform. A gear set inside the housing enables the motor to drive the external internal hexagonal sleeve to rotate. The internal hexagonal sleeve and the external hexagonal sleeve are inserted and engaged to drive the tubular mold to rotate and achieve centrifugal forming. This application solves the pain points of existing equipment and processes, such as poor versatility, cumbersome operation, low forming accuracy, and limited efficiency, through synergistic optimization of structure and process.

The present application relates to a kind of flakeboard production line of energy consumption monitoring and intelligent control system, comprising: physical execution layer, for executing flakeboard production process;Clean energy supply layer, it includes factory photovoltaic power generation system and biomass heat center, for providing heat energy to physical execution layer;Universal perception layer, for forming global data perception network, real-time acquisition production energy consumption, material consumption, key process parameters, photovoltaic power generation power and biomass steam supply quality parameter;Intelligent decision-making layer, it is respectively connected with the programmable logic controller of each production unit of universal perception layer and physical execution layer, for receiving and processing the real-time data collected by universal perception layer, and by built-in based on dynamic boundary multi-objective collaborative optimization model solution comprehensive optimal process parameter, and write the process parameter adjustment scheme solved into the programmable logic controller of physical execution layer corresponding.

A high-alloy steel electroslag ingot and its homogenization method are provided, comprising the following steps: S1, electroslag ingot pretreatment: removing surface oxide scale and crack defects, and grinding to a surface roughness Ra≤6.3μm; S2, staged heating: heating to 800-900℃ at a rate ≤100℃ / h and holding for 2-6h; heating to 1000-1100℃ at a rate ≤100℃ / h and holding for 2-6h; heating to 1200-1300℃ at a rate ≤150℃ / h and holding for 10h. -20h; S3, Stepped cooling: Turn off the heating device and cool with the furnace to 800-1000℃, hold for 2-6h; cool to 500-650℃ at a rate of ≤50℃ / h, hold for 2-6h; open the furnace door and introduce cooling air at a speed of 0.5-3m / s to cool to room temperature, obtaining homogenized high-alloy steel electroslag ingots; S4, Post-homogenization testing: the relative standard deviation of each alloying element is ≤5%; the average grain size is ≤10μm; the Brinell hardness fluctuation range is ≤15HBW. This invention eliminates component segregation, refines grain structure, optimizes process parameters, is highly efficient and energy-saving, easy to promote, and has strong practicality.

This invention relates to an electrostatic dehydration and solidification device for waste cooking oil, comprising a rotary drum screen solidification unit, a cyclone separation unit, and an electro-coalescing separation unit. The rotary drum screen solidification unit mainly includes a rotary drum screen and its internal screw drive, as well as a feed pipe, a solids discharge pipe, a receiving chamber, and a liquid outlet pipe. The end of the liquid outlet pipe is connected to a cyclone separation chamber. An overflow pipe is located at the top of the cyclone separation chamber, and a water outlet pipe is located at the bottom. The end of the overflow pipe is connected to the electro-coalescing separation chamber. The upper part of the electro-coalescing separation unit's chamber is equipped with a liquid distribution plate, and four pairs of alternating positive and negative electrodes are arranged sequentially on the lower side. A circular tube runs through the liquid distribution plate and the electrode mesh at the center of the chamber. The electrode mesh is electrically connected to wires in the circular tube to generate an electric field that promotes water droplet coalescence. This invention, through rotary drum screen solidification, cyclone preliminary dehydration, and electro-coalescing deep dehydration, is suitable for waste cooking oil with a moisture content ≥5%, improving separation efficiency by more than 20% and achieving an oil recovery rate of over 95%.

This invention discloses a method for constructing a multi-layered assembly of engine room sections and a ship constructed using the same method. The method includes the following steps: S1, manufacturing engine room sections and pre-assembling them off-site to form pre-assembly engine room sections; S2, painting the pre-assembly engine room sections in a painting workshop; S3, transporting the pre-assembly engine room sections and assembling them locally to form the complete engine room section; S4, mounting the complete engine room section onto the ship's hull via a dry dock. This method can reduce manufacturing costs and difficulty. Off-site pre-assembly and integrated painting improve site utilization efficiency. Through simulation prediction, inverted manufacturing of engine room sections and application of reverse pre-compensation can reduce corrections. By setting up inverted welding of engine room sections, no additional scaffolding is needed, reducing costs. By setting up the flipping of engine room pre-assembly sections, the number of flipping and lifting / disassembling operations is reduced. By aligning the joints in the longitudinal direction, structural continuity and assembly accuracy are ensured.

This invention provides a method to improve the consistency of wire-cutting data for large silicon wafers, addressing the problem that existing testing methods cannot provide consistent test data with the wire-cutting direction as the initial position for process debugging and R&D needs. A method is proposed that solves the wire-cutting data consistency problem by changing the initial test position and aligning the test path with the cutting direction, thus facilitating process adjustment and optimization of processing parameters. The initial test angle β is adjusted so that the angle α between the initial test angle and the notch direction is equal to β. The thickness steepness of the test data along the cutting direction is calculated to characterize the impact of cutting on the silicon wafer morphology.

The present application relates to the technical field of laser cladding, and discloses a laser cladding layer forming quality regulation method and system based on a molten pool powder island, which comprises the following steps: constructing a plurality of different process parameter value combinations based on central composite design according to the value range of each process parameter in the laser cladding process; obtaining the molten pool image in the laser cladding process under each process parameter value combination, extracting the molten pool area and the powder island area to obtain the powder island area proportion, and constructing a relationship model between the powder island area proportion and each process parameter value; determining the optimal value range of the powder island area proportion according to the relationship between the laser cladding layer forming quality and the powder island area proportion; and in the laser cladding process, controlling the value of each process parameter in real time according to the relationship model so that the real-time powder island area proportion is within the optimal value range. The present application can optimize the process parameters in real time, improve the efficiency and the laser cladding layer forming quality in the laser cladding process.

The invention discloses a multi-stage AO sewage treatment real-time monitoring and fault diagnosis system based on the Internet of Things, and relates to the field of the Internet of Things, and the system is characterized in that multi-dimensional data of an anaerobic tank, an anoxic tank, an aerobic tank and a secondary sedimentation tank are collected in real time through a multi-stage AO process monitoring module, are encrypted through an Internet of Things data transmission module, and then are uploaded to a cloud; the edge calculation module performs noise filtering and data completion to generate a preliminary regulation and control instruction; the fault diagnosis module combines a deep convolutional neural network and a gradient boosting tree algorithm to realize accurate fault classification and traceability; parameters such as aeration, stirring and reflux ratio are automatically adjusted according to a diagnosis result, and an alarm is pushed through a multi-stage early warning mechanism; and the cloud end adopts distributed storage to support multi-dimensional retrieval, and optimizes model parameters based on historical data. The method has the advantages that accurate fault diagnosis and cooperative regulation are achieved through edge calculation and an intelligent algorithm, a closed loop is formed in combination with cloud management and remote operation and maintenance, the process stability and the fault processing efficiency are improved, and the operation and maintenance cost is reduced.

The invention relates to a crystallizer liquid level abnormal fluctuation judgment and reason tracing system, an information data processing terminal and a computer readable storage medium, and belongs to the technical field of ferrous metallurgy continuous casting. The data processing module is used for calculating the crystallizer liquid level fluctuation index to obtain the maximum value Jmax of the liquid level fluctuation index within the continuous casting billet production time; the analysis module is used for analyzing crystallizer liquid level fluctuation and corresponding process parameters based on a discrete wavelet transform method to obtain frequency information of the crystallizer liquid level fluctuation; the slag entrapment judgment module is used for comparing the crystallizer liquid level fluctuation index with the slag entrapment defect index to judge whether slag entrapment occurs on the crystallizer liquid level or not; the machine clearing guiding module is used for executing the slag entrapment severity degree of the continuous casting blank and the judgment rule of casting blank treatment before rolling, and providing treatment guidance for the casting blank before rolling; and the liquid level abnormity reason tracing module is used for executing the judgment rule of the crystallizer liquid level abnormity fluctuation reason and tracing the inducement of liquid level abnormity.

This application relates to the field of 3D printing technology, and provides a method and system for optimizing parameters of 3D printed solid-state batteries. The method includes: acquiring multiple sensing information during the 3D printing process of a solid-state battery; sending detection signals to a shape sensing device and calculating the processing delay for determining the morphological information of the printed surface based on the detection signals; using the difference between the receiving time of the morphological information and the processing delay as the actual occurrence time of the printed surface corresponding to the morphological information in the physical world; performing time alignment of the multiple sensing information based on the actual occurrence time of the printed surface corresponding to the morphological information in the physical world; and optimizing the process parameters of the solid-state battery 3D printing process based on the time-aligned multiple sensing information. This solution can improve the efficiency of optimizing parameters for 3D printed solid-state batteries.

The utility model discloses a kind of semi-automatic spraying equipment based on sodium-nickel battery, including frame, slurry supply structure, weighing structure, spraying structure, negative pressure dust collection structure;Slurry supply structure is installed in the both sides of frame;Weighing structure is installed in the top of frame, and weighing structure is connected with slurry supply structure, to make weighing structure measure slurry in slurry supply structure;Spraying structure includes spray gun mechanism and rotary material carrying mechanism, spray gun mechanism is set in the both sides in frame, and spraying mechanism is connected with slurry supply structure;Rotary material carrying mechanism is set in the frame, to make the ceramic tube to be sprayed be set on rotary material carrying mechanism, to make slurry supply structure provide slurry for spray gun mechanism, and then make spray gun mechanism to the ceramic tube to be sprayed on rotary material carrying mechanism spray;Negative pressure dust collection structure is installed on frame, for collecting redundant slurry and dust generated in spraying process.

This invention relates to the field of noodle processing technology, specifically to a type of buckwheat noodle and its preparation method. The raw materials for this noodle include sweet buckwheat flour, bitter buckwheat flour, quinoa flour, and yam flour, with the addition of gallic acid, chili straw ash extract, and appropriate amounts of salt, sodium bicarbonate, and warm water. All raw materials undergo screening and processing, and the chili straw ash extract is prepared according to a specific process. The preparation method includes eight steps: raw material pretreatment, dough mixing, proofing, rolling and cutting, pre-drying, steaming and shaping, cooling and drying, and packaging and storage. The process parameters for each step are optimized. This invention uses a combination of gallic acid and chili straw ash extract as a natural improver to solve the problems of poor elasticity, easy breakage, and mushy soup production in buckwheat noodles. It combines various grain flours to achieve nutritional balance, a chewy texture, and no chemical additives. The process is simple, suitable for industrial production, and effectively extends the shelf life.

The invention belongs to the field of sewage treatment, and discloses a gas-water two-phase carbon capture sewage recycling system and process. In the system, one path of a supernatant outlet of a first separation tank is connected with a microalgae biological tank; an algae-water mixed liquid outlet of the microalgae biological tank is connected with the second separation tank; one path of a sediment outlet of the first separation tank is connected with the anaerobic tank; one path of a precipitation outlet of the second separation tank is connected with the microalgae biological tank; the other path of the precipitation outlet of the first separation tank and the other path of the precipitation outlet of the second separation tank are connected with a pyrohydrolysis anaerobic digestion fermentation device; a CO2-containing biogas outlet of the pyrohydrolysis anaerobic digestion fermentation device is connected with a biogas inlet of the combined heat and power generation device; and a CO2-containing tail gas discharge port of the combined heat and power generation device is connected with a CO2 feeding port of the microalgae biological tank. The invention develops an efficient, green and low-carbon sewage regeneration and resource application technology.

The application discloses a single-cell extracellular vesicle multi-omics analysis method, and belongs to the field of extracellular vesicle detection. 5000 The method comprises the following steps: fixing and permeabilizing extracellular vesicles (EVs), inserting biotin-PEG-DSPE into the surface of the EVs to biotinize the EVs, passivating a slide, introducing biotin molecules to the surface of the slide, fixing the EVs to the glass plate through specific binding of SA and biotin, further marking the EVs membrane by using a fluorescent dye (SA-dye) coupled with SA, quantitatively analyzing 15 kinds of markers on a single EV, including nucleic acids, proteins and protein post-translational modifications, through multiple rounds of marking based on a TIRF microscope, and revealing the heterogeneity of the single EV through multi-parameter analysis of the single EV.

The utility model discloses an antibacterial gel extraction device, including the extraction box, install the support support on the extraction box, the extraction box is installed on the support support, the inside installation of extraction box has the separator and liquid level regulation drainage ware, liquid level regulation drainage ware is installed on the upper and lower both ends of extraction box, the separator is installed on the inside of extraction box, the utility model relates to gel production technical field, first, dynamic separation system adopts the linkage of sector rotating plate and sealed shaft pipe, forms multistage independent extraction space, effectively inhibits liquid backmixing, promotes mass transfer efficiency and product purity, second, pressure-liquid level coupling control technology through the cooperation of pressure regulation tank and lifting mechanism, accurate control stratification interface and extraction pressure, optimize the solubility and separation efficiency of target component.

The invention belongs to the technical field of industrial temperature measurement and control, and provides a non-ferrous metal casting furnace bottom temperature monitoring method and system, and the method comprises the steps: setting a grid monitoring point at the bottom of a non-ferrous metal casting furnace, and synchronously obtaining multi-path actual measurement temperature data corresponding to the grid monitoring point; an independent sliding window with set capacity is adopted to obtain each path of actually measured temperature data according to a first-in first-out principle, and a target output mode is determined according to the data size in the independent sliding window and the set capacity; according to the actually measured temperature data in the independent sliding window, outputting effective temperature data according to a target output mode; performing anomaly identification on each path of effective temperature data, and determining an abnormal temperature point and an abnormal temperature change trend at the bottom of the non-ferrous metal casting furnace; and generating and visually displaying a temperature monitoring report according to the actually measured temperature data, the effective temperature data, the abnormal temperature point and the abnormal temperature change trend. According to the scheme, the accuracy and reliability of the temperature monitoring link of the non-ferrous metal casting furnace are improved.

This invention provides a nickel-cobalt hydroxide slurry leaching apparatus and method. The nickel-cobalt hydroxide slurry leaching method includes: separately conveying nickel-cobalt hydroxide material and a mixed liquid to a slurry preparation tank for slurry preparation to obtain a homogenized slurry; subsequently, leaching the homogenized slurry to obtain a leachate, and recirculating a portion of the leachate back to the slurry preparation process; the slurry preparation includes sequential primary and secondary agitated slurry preparation, with the primary agitated slurry preparation rate being lower than the secondary agitated slurry preparation rate; the liquid-to-solid ratio in the slurry preparation tank is (1~1.5):1. This invention achieves high-speed, continuous slurry preparation by optimizing the slurry preparation process and process parameters, greatly improving the uniformity and stability of the slurry.

A type of elastic polyester fabric, relating to the field of textile technology, is woven from a combination of warp and weft yarns. The warp yarns consist of two 20 / 22D mulberry silk threads twisted 400 times per meter in the S-direction. The weft yarns use 40D spandex as the core yarn and 75D36F Coolplus fiber as the outer yarn, wrapped with 1000 twists per meter in either the S-direction or Z-direction. The warp yarn weave has 10 repeats, and the weft yarn weave has 5 repeats. The fabric is woven using a satin weave combined with a twill weave. This product combines the excellent characteristics of mulberry silk, Coolplus fiber, and spandex, making it green and environmentally friendly. It also possesses the high-end style of silk, with a soft and comfortable feel, good elasticity, wrinkle resistance, and quick-drying properties. Its performance is further improved, catering to the demand for comfort and affordability, making it an ideal high-end functional textile.

The application relates to the field of cupronickel materials, and particularly discloses a new type of cupronickel suitable for a MIM process and a forming process thereof. Metal powder raw materials include the following mass percentages: Ni 12-18%, Sn 0.6-1.0%, mixed lanthanum-cerium-praseodymium rare earth 0.6-1.0%, Cu 80.4-86.4%, and the balance of Fe and inevitable impurities. When the material is used as a whole, the oxidation resistance of the new material in a catalytic degreasing process can be significantly improved, and the material loss in a sintering process is also greatly reduced, so that the inherent shortcomings of traditional cupronickel are overcome, and various cupronickel products with complex shapes can be perfectly produced through the MIM technology.

The invention discloses an oblique light spot energy distribution evaluation system for additive manufacturing, and relates to the field of laser process measurement, and the system comprises a motion execution module which is used for driving a laser emission unit to carry out pose adjustment in a three-dimensional space; the detection judgment module is used for judging whether the spot size exceeds a preset measurement range or not in real time in the laser scanning process and outputting a mode selection signal according to the spot size; a dual-mode measurement module selectively enabling a first measurement subunit or a second measurement subunit in response to the mode selection signal; and the data processing and modeling module is used for establishing a function relationship between the light spot size and the energy attenuation along with the change of the defocus distance, and calculating an energy distribution analytical expression of the laser on the target working plane when the laser is incident at any inclination angle. According to the scheme, the process of evaluating the energy distribution of the oblique light spots can be innovated into rapid analytical calculation based on actual measurement, so that a key basis is provided for real-time optimization of additive manufacturing process parameters.

The present application relates to the technical field of green ammonia process optimization, process simulation, load prediction and artificial intelligence control. The method comprises: obtaining process structure information, equipment parameter information, historical operation data, renewable energy output data, storage unit state data, nitrogen supply state data and process constraint conditions of the green ammonia production process; constructing a green ammonia process mechanism process simulation model, and correcting the process simulation model based on the historical operation data; generating a future time domain load trajectory based on the renewable energy output prediction result, and constructing a training sample in combination with the process simulation result and the historical operation data; when it is found that the prediction deviation of the agent model exceeds a threshold value, extracting a failure sample and triggering directional retraining to realize online updating of the agent model. The present application can improve the flexible operation ability, energy utilization efficiency and green ammonia production stability of the system in view of the working condition uncertainty caused by the fluctuation of renewable energy such as wind and light.

This invention discloses a method and system for precise control of cutting parameters and tool life, belonging to the field of cutting tool life management. Based on strict control of machining parameters and tool life determined by the part, machining step, and cutting parameters, it can accurately calculate the remaining tool life and remind users to change tools in a timely manner. This method enables comprehensive monitoring of the usage of all tools on all equipment in the entire workshop. Compared to the traditional model where each person oversees several machine tools, only one person is needed to manage the usage of hundreds of machine tools and tens of thousands of tools. It can record the specific tools used in each step of the part machining process and the execution of machining parameters at that time based on the part machining history, facilitating process engineers to analyze quality problems and improve process parameters, promoting continuous process improvement. The method proposed in this invention significantly improves the precision of life management compared to traditional life management models, increases tool utilization, and reduces part quality problems caused by tool malfunctions.

The present invention relates to a process and acrylic fiber product obtained by the process, which comprises improvements made to the coagulation and washing processes, which are process steps for obtaining acrylic fibers with improved abrasion values and mechanical strength properties.

The application belongs to the technical field of robots, and discloses a milling force simulation and feed rate optimization method considering the pose-dependent dynamic effect of a robot. The application firstly performs modal testing at different poses in the milling area of the robot. Then, a dynamic model is established in the cutting area of the robot. At the same time, the workpiece surface is dynamically updated based on the dynamic sweeping track of the cutting edge and the workpiece model, so as to ensure the calculation accuracy of the instantaneous cutting thickness and the cutting force. Finally, based on the simulated accurate cutting force, the feed rate is segmented and adaptively planned under the constraint of the cutting force peak value, and the robot milling of the curved surface part and the machining error measurement experiment are carried out. The application realizes the effective improvement of the milling machining efficiency and accuracy of the curved surface part, and the cutting force in the machining process is more stable. The application has important significance for the improvement of the stability and machining performance in the robot machining process.

The application discloses a bleaching device and bleaching method for concentrated nitric acid production and belongs to the technical field of concentrated nitric acid production.The bleaching device comprises a nitric acid concentration tower, a magnesium nitrate heater, a concentrated nitric acid condenser, a gas-liquid separator and a bleaching tower, the nitric acid concentration tower is connected with the concentrated nitric acid condenser and the magnesium nitrate heater respectively, the concentrated nitric acid condenser is connected with the gas-liquid separator, and the gas-liquid separator is connected with the bleaching tower.The application reduces system resistance and improves system negative pressure stability;the empty tower speed of the bleaching tower is increased, one bleaching tower can be used by multiple sub-systems, the process flow is shortened, the investment and maintenance cost are reduced, the nitrate content in the dilute magnesium nitrate solution is simultaneously reduced to below 0.05%, the corrosion rate of the dilute magnesium nitrate heater is reduced, and the service life is prolonged.

The invention belongs to the field of intelligent optimization of equipment parameters, and relates to an intelligent optimization method and system for composite process parameters of a multilayer polypropylene film, and the method comprises the steps: constructing a hypothesis pool; constructing a reinforcement learning model and a reinforcement learning strategy network; verifying and optimizing the hypothesis, and updating the reinforcement learning model and the reinforcement learning strategy network; determining an optimal joint parameter through the reinforcement learning model and the reinforcement learning strategy network; judging whether the hypothesis pool and the model need to be updated or not based on multilayer polypropylene film production data; when updating is needed, the hypothesis is supplemented, and updating is repeated until the production data of the multi-layer polypropylene film meet the production requirement; when updating is not needed, the optimal joint parameters are maintained for production; the performance stability of the thin film is improved, collaborative optimization and self-adaption of equipment are achieved, and the production cost is reduced.

The invention discloses nickel-coated graphite composite powder and a preparation method thereof, and relates to the technical field of composite materials. The preparation method comprises the following steps: taking a carbon raw material as a starting point, mixing a nitrogen source, a phosphorus source and a sulfur source, performing high-temperature treatment to obtain modified artificial graphite powder, adding the modified artificial graphite powder into a plating solution mixed with nickel salt, a reducing agent, a complexing agent and a stabilizing agent, and optimizing process parameters. The nickel-coated graphite composite powder which is complete in coating, excellent in anti-aging performance and electromagnetic shielding performance and simple and efficient in preparation process is prepared. The nickel-coated graphite composite powder can be widely applied to multiple fields of electromagnetic shielding materials, conductive fillers and the like.

This invention belongs to the field of heat pipe technology, specifically relating to a method for controlling and online evaluating the content of non-condensable gases in high-temperature heat pipes. The invention includes the following steps: S1, deep cleaning of materials to eliminate non-condensable gases and other impurities dissolved or adsorbed from the end caps, shell, wick, and filling tube; S2, process cleaning to ensure that no new contaminants are introduced during assembly and welding; S3, heat pipe purification and venting to complete the injection of the working fluid and the final purification and venting within the heat pipe; S4, long-term surface barrier to prevent helium and hydrogen from permeating into the heat pipe. This invention addresses the entire process from materials, manufacturing, filling, and testing, achieving proactive and precise control and quantitative evaluation of non-condensable gas content from three dimensions: source control, process elimination, and online evaluation. This improves the long-term reliability and performance consistency of heat pipes under various complex environments.