526 results about "Cooling rates" patented technology

The invention belongs to the technical field of cell cryopreservation, and relates to a cryopreservation method based on ultrasonic ice planting. In the method, the nucleation temperature of ice planting is less than-9 DEG C, and the cooling rate from nucleation to icing is less than 5 DEG C / min. Compared with the prior art, the method has the advantages that the time required for cryopreservation of the cells is remarkably shortened, meanwhile, damage to the cells caused by ice crystals generated in the cooling process is reduced, and the problem that an existing cell cryopreservation cooling method cannot meet the nucleation and freezing uniformity of a cell solution in the cooling process is solved.

The invention belongs to the field of production control, and particularly discloses a control method of a thick-wall optical product precision injection molding hot runner system, which comprises the following steps of: acquiring mold geometric data of local thickness distribution in a mold-containing cavity along a melt flowing direction, calculating theoretical cooling time constants of each region by combining material thermophysical parameters, and calculating the cooling time constant of each region; establishing a thickness-cooling rate mapping relation model; predicting the time when the melt reaches each area and the effective cooling time according to an injection time sequence; solving a temperature compensation value of a heating area corresponding to the hot runner by taking the minimum final temperature variance when the key area is ejected as a target; and finally, dynamically applying a compensation value according to a time sequence before the melt arrives, and withdrawing / adjusting after region filling is completed or a pressure maintaining stage is entered. The invention can balance the temperature field of the mold cavity, reduce the refractive index gradient and shrinkage defect, improve the optical performance and yield of the product, and is suitable for precise injection molding of the thick-wall optical product.

The invention discloses a light-weight manufacturing method and system for a PET bottle for food packaging, particularly relates to the technical field of PET bottle blank manufacturing, and aims to solve the problem that the subsequent blow molding quality is affected due to the fact that complex internal stress is generated in a bottle blank due to a rapid cooling process after injection molding in the prior art. Image information and temperature distribution data of a bottle blank after injection molding are obtained, geometric features and cooling rate differences are analyzed and recognized based on multi-physics coupling, a stress cause weight evaluation model is established to generate a stress distribution map, and then structural entropy increase factors under different temperature adjustment paths are simulated and calculated according to thermodynamic parameters, so that the temperature adjustment precision is improved. And carrying out partitioned temperature adjustment treatment on the bottle blank, and finally, carrying out constant-temperature and constant-humidity standing to sufficiently relax the stress. The internal stress distribution of the bottle blank can be effectively controlled, and the wall thickness uniformity and the mechanical property consistency of the light-weight PET bottle are improved.

The invention discloses a reconfigurable casting process module hierarchical control method, which comprises the following steps of: firstly, acquiring a multi-source sensor data stream generated in a casting task execution process, the data comprising key process parameters such as temperature, pressure, flow velocity and the like; based on this data stream, an initial condition feature set for characterizing the dynamic condition is determined. And then, carrying out segmented working condition optimization processing on the feature set by utilizing a hierarchical decoupling regulation model, and obtaining an optimized working condition feature set through system coupling dissociation and random disturbance stripping. And finally, performing feature reconstruction processing on the optimization feature set, and generating an optimization control instruction accurately matched with the current casting process to adjust the pouring speed, the cooling rate or the pressure parameter in real time, thereby realizing closed-loop optimization control of the casting process. According to the method, the control precision and the process stability under complex working conditions are effectively improved.

The invention relates to the technical field of fault detection, in particular to an electrical equipment fault diagnosis method and system, and the method comprises the following steps: constructing a ratio group of a trigger incremental sequence quantity and a frequency spectrum cluster set based on a partial discharge pulse interval, deducing impedance frequency boundary migration, analyzing a conductor heating and cooling rate difference, and forming thermal response lag information. According to the method, frequency spectrum energy evolution characteristics are extracted through partial discharge pulse interval dynamic behaviors, a frequency migration path is constructed to reflect an impedance boundary fluctuation process, hysteresis effect characteristics are extracted in combination with thermal inertia response differences in a temperature rise stage, and the impedance boundary fluctuation is determined. And analyzing a voltage and current phase fluctuation rule and deducing a change trend of a combined feature, establishing a layer-by-layer progressive judgment logic between multi-stage dynamic coupling features, realizing evolutionary process tracking from local disturbance to a global abnormal state, and improving a fine-grained identification level of an abnormal mechanism in an electrical equipment operation behavior.

The invention relates to the technical field of additive manufacturing, and discloses a method and equipment for restraining the crack defect of a high-temperature alloy difficult to weld in laser additive manufacturing. When the gradient of a first molten pool is larger than a preset temperature gradient threshold value, a metal powder scanning area corresponding to each layered slice of a target part can be fused through a composite laser spot; the central light spot is used for providing enough energy to melt metal powder and form a stable molten pool, and the annular light spot preheats the periphery of the molten pool to adjust temperature distribution of the molten pool. The second laser power needed by the annular light spot is determined according to the molten pool center temperature and the molten pool radius generated by the center light spot in the scanning area at the preset scanning speed, so that accurate control over the gradient and the cooling rate of the molten pool is met, the molten pool can be cooled more uniformly in the solidification process, and the solidification quality of the molten pool is improved. The defects of cracks, air holes and the like caused by high temperature gradient and high cooling rate are effectively reduced, and the problem that high-performance high-temperature alloy laser additive manufacturing cracks are difficult to weld is solved.

The invention provides a hafnium oxide-based ferroelectric film annealing process with a low thermal budget and a hafnium oxide-based ferroelectric film, and relates to the field of ferroelectric films, the hafnium oxide-based ferroelectric film is subjected to multiple low-temperature rapid annealing cycles, and the hafnium oxide-based ferroelectric film annealing process comprises the following steps: heating to an annealing temperature of 400 DEG C at a heating rate of 10-80K / s, keeping the temperature for 15-120s, and cooling at a cooling rate of not less than 10K / s, and after cooling to room temperature, carrying out next annealing cycle. The internal defect distribution of the thin film is changed through repeated rapid annealing circulation; and multiple times of rapid cooling are introduced, so that multiple times of enhanced stress is generated in the thin film, the hafnium oxide phase change potential barrier is cooperatively regulated and controlled, conversion from a non-ferroelectric high-temperature tetragonal phase to a ferroelectric orthogonal phase is promoted, and the requirement for the high annealing temperature is avoided.

The invention provides an outer ring temperature sensor fault detection method, an air conditioner and a readable storage medium. The outer ring temperature sensor fault detection method comprises the steps that the outer ring temperature is obtained through an outer ring temperature sensor, and the outdoor heat exchanger temperature and the compressor temperature are obtained through an outdoor heat exchanger temperature sensor; if the first preset condition is met, the air conditioner is controlled to operate in a heating mode for a first preset duration according to the outer ring temperature; and after a control strategy is determined according to the relation between the cooling rate and a preset rate and the air conditioner is controlled to operate, whether an outer ring temperature sensor breaks down or not is judged according to the temperature of the outdoor heat exchanger. The first preset condition is that the current heating operation, the outer ring temperature, the outdoor heat exchanger temperature and the compressor temperature are all smaller than a first preset temperature value, and the difference value between the outer ring temperature and the minimum value in other temperatures is larger than or equal to a second preset temperature value. According to the invention, the accuracy of judging the fault of the outer ring temperature sensor is improved aiming at low-temperature influence.

The invention provides a cooling rate optimization control method and system for continuous cooling crystallization, and the method comprises the steps: collecting crystal slurry concentration data and temperature data of each stage of crystallization tank in real time; the crystal slurry concentration data, the temperature data and the feeding flow data are input into a deep learning model, and a prediction result is obtained; based on the prediction result and crystal mush concentration data, dynamically adjusting the cooling rate of each stage of crystallizing tank and the addition amount of a co-crystallizing solvent; and feeding back an outlet crystal mush concentration signal of the last-stage crystallizing tank to the solid-liquid separation unit, and adjusting the running rotating speed of the solid-liquid separation unit in a linkage manner. According to the cooling rate optimization control method and system for continuous cooling crystallization, prospective correction of the cooling rate is carried out by using the predicted supersaturation degree, and adjustment of the additive amount of the auxiliary crystallization solvent is carried out by using the predicted crystal particle size distribution; and finally, an outlet concentration signal of the last-stage crystallizing tank is fed back to the solid-liquid separation unit in real time to adjust the separation rotating speed in a linkage manner, so that the crystal particle size deviation is reduced, and the triazole crystallization recovery rate is improved.

The invention discloses a mass concrete temperature control construction method and system based on phase change energy storage, and the method comprises the steps: S100, building a BIM model for a concrete member pouring region according to a design size, setting a temperature sensor in a concrete member to monitor data in real time, and predicting a temperature field in combination with the BIM model; s200, the space between the conventional cooling water pipe and the concrete protection layer is filled with phase change microcapsules in a gradient density mode, a phase change energy storage buffer layer is formed, and transfer of heat to the interior of the concrete member is delayed; s300, according to the predicted temperature field, the water inlet flow and the water temperature are dynamically adjusted, the temperature peak is controlled, and the cooling rate is controlled; s400, fiber grating sensors are arranged at the four corners and the midspan of the concrete member, and the strain change rate is detected; and S500, establishing a digital twin temperature control platform, integrating temperature, humidity and strain data, constructing a three-dimensional thermodynamic model, predicting the temperature rise trend of the concrete member, and performing adaptive regulation and control on the temperature. Temperature difference inside and outside the concrete is controlled through phase change temperature control.

The present disclosure provides a high-vanadium high-speed steel and preparation method therefor, and use thereof, which relate to the technical field of high-vanadium high-speed steel. The preparation method includes: smelting raw materials to form a melt; impacting the melt to a cooling platform to form a high-vanadium high-speed steel casting billet; and performing a spheroidizing annealing treatment and a quenching and tempering treatment, so as to obtain a resultant. The spheroidizing annealing treatment includes: heating the high-vanadium high-speed steel casting billet to 820-910° C.; holding for 2-4 h; then cooling down to 450-550° C. at a cooling rate larger than 40° C. / h; and then air cooling to a room temperature.

The invention discloses a biological material supercooling storage system and a working method thereof. The biological material supercooling storage system comprises a sample carrier for storing and placing a biological material; the sample cavity is used for providing a subcooled storage environment of-30 to-5 DEG C for the biological material; the temperature control module is used for providing a controllable cooling rate for the interior of the refrigeration module, the cooling rate is greater than 2 DEG C / min in a temperature interval of above 5 DEG C, the cooling rate is 1-2 DEG C / min in a temperature interval of 0-5 DEG C, and the cooling rate is less than 1 DEG C / min in a temperature interval of below 0 DEG C; the electromagnetic excitation module is used for generating a low-frequency to very high-frequency 50Hz-300MHz electromagnetic field in the sample, and inhibiting the formation and growth of ice crystals in the sample by using the non-thermal effect of the electromagnetic field; the cooperative control module is used for achieving cooperative control over the cooling rate, the supercooling temperature and the electromagnetic field intensity so as to maintain long-term storage of the samples in a liquid state at the supercooling temperature, the storage temperature of the biological materials is reduced, meanwhile, the biological materials are not frozen, and liquid-state storage of the biological materials with different sources and different sizes at the low temperature can be achieved.

The invention discloses a finite element analogue simulation-based duplex stainless steel heat treatment process optimization method, which relates to the field of stainless steel heat treatment process optimization, and comprises the following steps: carrying out mechanical property experiments on a duplex stainless steel profile under different temperatures and different deformation conditions to obtain a stress-strain relation curve; constructing a deformation resistance model and a thermoplastic curve, and measuring related physical property parameters; the method comprises the following steps: establishing a three-dimensional geometric model comprising a heat treatment furnace, a cooling pool and a duplex stainless steel profile, setting radiation-convection composite boundary conditions, carrying out grid division, carrying out solid solution heating process simulation, heat preservation process simulation and cooling process simulation based on the three-dimensional geometric model, carrying out dynamic analysis on a temperature field and a stress field, and obtaining an analysis result; and optimizing and determining the solid solution temperature, the heat preservation time and the cooling rate according to an analysis result. Rapid matching of duplex stainless steel profiles of different specifications and the heat treatment process can be achieved, the heat treatment test cost can be reduced, and the heat treatment test period can be shortened.

The invention provides a pipeline welding real-time feedback control method and system based on machine vision. According to the method, multi-modal data such as a three-dimensional point cloud, a temperature field and a welding seam image are synchronously collected, and key characteristics such as a pose deviation gradient, a cooling rate curve and a welding seam size sequence are extracted after time sequence alignment, filtering and correction fusion. And a CNN and LSTM mixed adaptive deep learning model is utilized to analyze the welding quality state in real time, and sub-optimal parameters are dynamically optimized based on a reinforcement learning strategy, or a three-level response mechanism including heat reduction input, expert knowledge base matching and precise repair is triggered to process defect early warning. The system has an incremental learning capability and can be self-optimized along with a control period. The full-flow intelligent monitoring, real-time feedback and self-adaptive accurate control of the welding process are achieved, and the welding quality and the automation level are remarkably improved.

The invention provides a closed-loop control method and system for the cooling rate of a glass mold. According to the method, the infrared thermogram data of the surface of the glass mold are collected, and the internal temperature conduction data are obtained; then, in combination with the cooling rate diagram and the temperature data, a heat conduction compensation area is divided according to the three-dimensional geometrical characteristics of the mold, and a heat compensation coefficient is determined; thirdly, fusing all data, executing space-time three-dimensional processing to generate a dynamic thermal field model, and identifying and quantifying a hot spot region with uneven cooling; meanwhile, the phase change critical point of the glass material is detected in real time to generate a phase change correction factor. And finally, predicting a cooling rate deviation trend in combination with the hot spot quantitative index and the phase change factor, generating a prediction deviation value, and adjusting the rotating speed of a corresponding fan in a grading manner, so as to form regional closed-loop control. According to the invention, precise regionalization closed-loop control of the cooling rate of the glass mold is realized, the problem of non-uniform hot spots can be effectively eliminated, and the cooling process is optimized.

The invention discloses a refrigeration control method based on inverter compressor control, which relates to the technical field of refrigeration equipment control, and comprises the following steps: acquiring operation data of a refrigeration system according to a preset period, and extracting a thermal response characteristic representing a cooling rate attenuation acceleration by performing differential processing on an indoor temperature; and calculating a thermal rebound sensitivity characteristic by combining the frequency change gradient. A thermal inertia potential energy index representing the heat storage load of the enclosure structure is generated through time domain accumulation processing, a nonlinear drift modulation model is constructed accordingly, and a virtual set temperature and a dynamic frequency lower limit value are generated. And finally calculating a basic adjusting frequency based on the virtual set temperature, and selecting the maximum value of the basic adjusting frequency and the lower limit value of the dynamic frequency as a target driving frequency. Through cooperation of algorithm soft traction and physical hard lifting, the problem of overshoot oscillation in a complex thermal environment is solved, and temperature control stability and energy saving performance are improved.

The embodiment of the invention discloses a linear cooling control method for an environmental test chamber, which comprises the following steps of: determining the rotating speed of a variable-frequency compressor of each equally divided cooling section according to a cooling theoretical parameter of each equally divided cooling section, a second cooling parameter of the environmental test chamber, a linear cooling rate and an operating parameter of the variable-frequency compressor; according to the cooling theoretical parameter of each equally divided cooling section, the third cooling parameter of the environmental test box, the linear cooling rate and the electronic expansion valve operation parameter, determining the electronic expansion valve step opening of each equally divided cooling section; according to the first operation data of the inverter compressor and the evaporator in each equally divided cooling section, the final temperature of the environmental test box, the operation parameters of the evaporator fan and the linear cooling rate, the rotation speed of the evaporator fan in each equally divided cooling section is determined; and according to the second operation data of the inverter compressor and the condenser in each equally divided cooling section, the operation parameters of the condenser fan and the linear cooling rate, the rotating speed of the condenser fan in each equally divided cooling section is determined.

The invention relates to the technical field of automatic control, and discloses a large-scale organ uniform controllable cooling method and system based on deep reinforcement learning and fuzzy control. The method comprises the following steps: constructing a high-precision temperature sensor array, and collecting multi-point temperature data on the surface and in the organ in real time; based on a biological heat transfer theory inverse problem model, reconstructing an organ three-dimensional temperature field in real time; a depth deterministic strategy gradient algorithm is adopted to optimize a fuzzy proportional-integral-differential controller. The depth deterministic strategy gradient algorithm takes minimization of organ internal temperature gradient as a primary optimization target, and parameters of a fuzzy PID controller are adjusted on line through interactive learning of an intelligent agent and a cooling environment, so that the power and the rate of a cooling module are accurately controlled. By means of the method, intelligent prediction and dynamic optimization of the cooling process can be achieved, the temperature gradient in the organ is smaller than 10 K / cm while it is guaranteed that the cooling rate reaches 15 K / min, and the success rate of low-temperature preservation of the large-scale organ and the activity of the large-scale organ after resuscitation are improved.

The invention discloses a T ferromagnetic annealing performance consistency optimization method based on reinforcement learning, and the method comprises the steps: collecting the annealing temperature, heat preservation time, magnetic field intensity, cooling rate and other key process parameters in real time through an industrial Internet of Things, and improving the data quality through normalization and multi-stage data cleaning processing; intelligent evaluation and label classification of the process state are realized by using a multi-layer neural network; a dynamic reward function weight is introduced in combination with a process state label, and a deep Q network reinforcement learning model is driven to perform strategy optimization; the method supports self-adaptive model updating of periodic data acquisition and strategy rapid switching under significant change of a process state, realizes intelligent cooperative closed-loop control of multiple parameters in the annealing process, and improves the operation stability of the annealing process and the consistency of material performance.

The invention provides a multi-beam laser quenching method, and relates to the technical field of quenching, the multi-beam laser quenching method comprises the step of providing a plurality of laser beam sources during quenching, and more accurate heating and cooling control is realized through dynamic adjustment of the laser beam irradiation sequence, time and power by the multi-beam laser quenching method. According to real-time surface temperature data, the uniformity and depth adjustability of a hardened layer on the surface of the workpiece are ensured, the power, irradiation time and scanning path of the laser beam are adjusted according to the real-time surface temperature data, and uniform distribution of the surface temperature of the workpiece is realized, so that the thermal stress problem in the traditional technology is reduced, the heating effect is optimized, and the uniformity of the surface temperature of the workpiece is ensured; and the cooling rate is controlled, the compactness of a hardened layer is ensured, the wear resistance and fatigue resistance of the workpiece are enhanced, the quenching process is optimized, the surface quality of the workpiece is improved, higher innovativeness and adaptability are achieved, and the method is particularly suitable for surface hardening treatment of workpieces in complex shapes or made of special materials.

The application relates to a high-temperature nitriding preparation method of a cobalt-based high-temperature alloy by using nitride dispersion reinforcement, and belongs to the technical field of dispersion reinforcement materials. The cobalt-based high-temperature alloy profile is placed in a high-temperature nitriding furnace, the inner cavity of the nitriding furnace is vacuumized, the cobalt-based high-temperature alloy profile is in a vacuum environment, then argon is filled into the inner cavity of the nitriding furnace, and the temperature is raised to a set temperature of 1100-1200 DEG C; then a mixed gas atmosphere of nitrogen and argon is introduced into the inner cavity of the nitriding furnace, the flow speed is 80-120 mL / min, the cobalt-based high-temperature alloy profile is subjected to nitriding treatment in the furnace for a certain time, and after the high-temperature nitriding process is completed, the temperature is cooled to room temperature at a cooling rate of 20-40 DEG C / min. The method is aimed at cobalt-based high-temperature alloy wire or plate, high-temperature nitriding treatment is carried out in a mixed gas atmosphere of nitrogen and argon, stable nitrides are formed in the alloy organization to play a dispersion reinforcement role, and the problem that the strength of the cobalt-based high-temperature alloy is relatively low can be effectively solved.

The invention discloses a 7N single crystal copper preparation process based on zone melting and crystal orientation control, which specifically comprises the following steps: S1, raw material pretreatment: purifying 4N copper to 5N grade by adopting electrolytic refining of a nitric acid system, and the carbon content after acid pickling is less than or equal to 1ppm; the invention relates to the technical field of metal material preparation. According to the 7N single crystal copper preparation process based on zone melting and crystal orientation control, impurities in a material are redistributed in a melting zone through local heating, so that separation and removal of the impurities are achieved, in single crystal copper preparation, zone melting can remarkably reduce the content of the impurities in copper, the purity of the copper is improved, and the yield of the 7N single crystal copper is improved. By accurately controlling parameters such as the temperature gradient and the cooling rate in the smelting and solidification process, optimization of crystal orientation is achieved, single crystal copper with an ideal crystal structure can be obtained, the performance of the single crystal copper is improved, and impurities can be removed and crystal defects can be reduced through zone smelting; and crystal orientation control can optimize the crystal structure and improve the performance.

The application provides a method for rapidly improving the surface structure and roughness of a cast aluminum alloy part, and relates to the technical field of laser beam processing, and comprises the following steps: fixing the cast aluminum alloy part on a multi-axis movable object platform; using a continuous laser beam to scan the initial surface layer of the cast aluminum alloy part, and controlling the laser power and scanning speed to make adjacent molten pools continuously overlap to form a uniform molten layer; when the thickness of the uniform molten layer reaches a first preset thickness required for surface structure reconstruction, stopping the laser scanning; the uniform molten layer is self-cooled and solidified in a room temperature environment to form a solidified surface layer; wherein the solidified surface layer forms a submicron equiaxed crystal structure, and the roughness of the solidified surface layer is smaller than that of the initial surface layer. The method directly generates a submicron equiaxed crystal structure under the condition of room temperature self-solidification by accurately controlling the molten pool overlap and the cooling rate, and achieves the purpose of rapidly modifying the surface layer of the cast aluminum alloy part.

This invention discloses a method for preparing a uniform microstructure on the surface of a containerless solidified niobium alloy for a space station, relating to the field of containerless materials science experimental technology. The method first screens for highly supercooled samples suitable for preparing a uniform microstructure using this method in containerless space station experiments; calculates or experimentally determines the primary phase dendrite growth rate, the cooling rate coefficient of radiative heat dissipation during the cooling stage, and the primary phase nucleation rate; and conducts containerless space station experiments to allow the niobium alloy to undergo deep supercooling and rapid solidification within a determined suitable supercooling range, thus obtaining a solidified alloy sample with a uniform surface microstructure. This invention actively controls the distribution of dendrites and eutectic phases, resulting in a surface microstructure with uniformly distributed dendrites and interdendritic eutectic phases.

This application relates to apparatus and methods for roll forming of high-refractive-index glass sheets. The method of forming a glass sheet includes: (a) forming a glass ribbon from molten glass using a pair of forming rollers; (b) reducing the horizontal temperature variation of the glass ribbon over 80% of its entire width before cooling to the glass transition temperature to 10°C or less; (c) controlling the cooling rate of the glass ribbon as it moves longitudinally downward in the solidification zone such that the glass ribbon has a first average cooling rate before cooling to the glass transition temperature and a second average cooling rate after cooling to the glass transition temperature, the first average cooling rate being less than the second average cooling rate; and (d) separating the glass sheet from the glass ribbon.

The invention relates to the technical field of rock mechanics experiments, and discloses a high-temperature rock strength testing method for eliminating thermal stress interference through active temperature control, and the method comprises the following steps: determining a temperature control cooling rate threshold value for eliminating thermal stress accumulation based on a temperature field-stress field coupling model; the rock sample is controlled to be heated to a target temperature value, heat preservation is conducted for a preset time length, the constant-temperature box containing the rock sample subjected to heat preservation is subjected to temperature-controlled cooling to the room temperature at the target temperature-controlled cooling rate not higher than the temperature-controlled cooling rate threshold value, and therefore the internal temperature field of the rock sample is made to change evenly; and carrying out mechanical strength test on the rock sample subjected to temperature-controlled cooling to obtain a test rock strength parameter without thermal stress interference. According to the invention, thermal stress accumulation caused by natural cooling can be effectively avoided, the precision and reliability of high-temperature rock strength testing are remarkably improved, measurement errors caused by thermal stress interference are reduced, and the engineering requirements of deep ultrahigh-temperature stratum rock mechanical property research are met.

This invention belongs to the field of semiconductor optoelectronic device manufacturing technology and discloses a multi-stage annealing process for ITO thin films, including the following steps: Step 1: Under high vacuum protection, the furnace temperature is raised from room temperature to a first temperature T1 and held for a first time; Step 2: The furnace temperature is raised to a higher second temperature T2 and held for a second time, without the need for oxygen introduction during the second holding stage; Step 3: While maintaining the second temperature T2, a third holding stage is performed, and oxygen is introduced during the third holding stage; Step 4: A controllable cooling process is performed, which includes at least a slow cooling stage under the oxygen atmosphere and a rapid cooling stage under an inert gas or extremely low oxygen concentration atmosphere. This invention achieves precise staged control of the ITO thin film crystallization process, oxygen vacancy filling, and interfacial reactions by precisely controlling the oxygen partial pressure and cooling rate at different temperature stages.

The invention discloses an intelligent adjusting method and system for a continuous graphitization device. The adjusting method comprises the steps that control parameters of the continuous graphitization device are initialized; acquiring a first state parameter of the main temperature area and a second state parameter of the cooling area; an optimization algorithm is provided, optimization is carried out through the optimization algorithm, and optimized control parameters are obtained; a first adjusting signal is obtained based on the control parameter and the first state parameter, and the feeding speed of the main temperature zone is adjusted based on the first adjusting signal; a second adjusting signal is obtained based on the optimized control parameter, the first state parameter and the first adjusting signal, and the heating power of the main temperature zone is adjusted based on the second adjusting signal; a third adjusting signal is obtained based on the control parameter and the second state parameter, and the feeding speed of the cooling area is adjusted based on the third adjusting signal; and a fourth adjusting signal is obtained based on the control parameter, the second state parameter and the third adjusting signal, and the cooling rate of the cooling area is adjusted based on the fourth adjusting signal. Based on the adjusting method, the adjusting method can adapt to various working conditions of the continuous graphitization device, the temperature fluctuation is reduced, the graphitization product output is stable, and the output efficiency is improved.

The invention discloses a melt separation titanium slag modification treatment method and system. The method comprises the steps that in the direct reduction-melt separation process, melt separation titanium slag components are regulated and controlled to enable the melt separation titanium slag to contain 40 wt%-60 wt% of TiO2 and 1.1 wt%-9 wt% of C, deslagging is conducted, after heat preservation melting is conducted on the melt separation titanium slag at the temperature of 1550-1600 DEG C for 30-60 minutes, slow cooling is conducted to 1200 DEG C at the cooling rate of 5-10 DEG C / min, then rapid cooling is conducted to 900 DEG C at the cooling rate of 20 DEG C / min or above, finally natural cooling is conducted to the room temperature, and modified slag is obtained. According to the method, regulation and control of components of the melt-separated titanium slag are combined with heat preservation, slow cooling, quenching and natural cooling, anosovite is directionally induced to serve as a main phase of the titanium slag, micronized spinel and an amorphous glass phase, titanium resources are enriched in the anosovite phase, and the modified titanium slag high in grade and good in activity is obtained; and the problems of low additional value, small utilization scale, poor economic benefit and the like of molten titanium slag products are solved.

A cooling system includes one or more cooling panels for affecting a cooling load in an environment. The cooling system also includes a heat exchanger coupled to the one or more cooling panels. Each cooling panel includes a film, a panel body, an inlet port, an outlet port, and a fluid path. The film's radiative properties allow it to achieve a temperature less than an environment temperature. The heat exchanger includes ports that are coupled to the fluid paths of the one or more cooling panels. A control system is used to control flow rates, flow paths, fluid temperatures, component temperatures, cooling rates, component operation, or other aspects of a cooling system. For example, the control system controls or monitors pumps, compressors, fans, valves, sensors, actuators, or a combination thereof.