835 results about "Cooling rates" patented technology

The invention provides a heat input regulation and control method and system for electric arc additive continuous forming, and relates to the technical field of additive manufacturing, and the method comprises the following steps: collecting process parameters in real time, inputting pretreatment process data into a self-adaptive heat input quantity calculation model, and constructing and calculating to obtain a real-time heat input quantity based on a thermodynamic principle and a heat transfer theory; starting the multispectral imaging equipment, performing real-time temperature field scanning, recording temperature field scanning data, extracting temperature gradient and cooling rate information, performing correlation calculation with real-time heat input quantity, and determining an influence relation evaluation result; generating a heat input sequence according to the influence relation evaluation result; and inputting the heat input sequence into a self-adaptive control system constructed based on a reinforcement learning algorithm, calculating an optimal parameter scheme according to a preset target sedimentary layer performance index and a current temperature field state, adjusting corresponding spatial-temporal distribution of control energy input according to the optimal parameter scheme, and performing control heat input on different positions and different layers of the sedimentary layer.

The invention discloses an electromagnetic heating and heat preservation system for a wind power blade girder plate pultrusion die, and relates to the technical field of thermal field regulation and control, comprising the following steps: activating an electromagnetic coil array to generate an alternating magnetic field, synchronously starting a heat preservation layer device, and triggering a gradient heating mode when the temperature of the die reaches a preset threshold value; a mold temperature field is monitored in real time, the power of an electromagnetic coil and parameters of a heat preservation layer are dynamically adjusted, a target temperature gradient is established, an electromagnetic heating device and a mechanical traction device are linked in the pultrusion process, and heat dissipation control is triggered according to the material flowing state; and after heat dissipation control is completed, the main power source is cut off, the mode is switched to the waste heat recovery mode, mold waste heat is guided into the energy storage device, and the cooling rate is controlled. According to the method, accurate mode switching of electromagnetic heating from uniform temperature rise to gradient heating is achieved through cooperation of magnetic field activation and a gradient triggering mechanism, and the temperature gradient establishment speed and the morphological stability are effectively improved in cooperation with power regulation and control partition differentiation power instruction and thermal insulation layer parameter dynamic matching.

The invention relates to the technical field of steel production and processing, and discloses an electrical steel strip annealing temperature real-time monitoring and regulation system. The system comprises a temperature data acquisition module which is responsible for acquiring temperature and cooling rate data in an annealing process and acquiring expected parameters; the temperature deviation analysis module is used for calculating a deviation coefficient through a dynamic weighting algorithm to construct a matrix; the dynamic regulation and control module is used for generating regulation and control parameters based on a fuzzy logic control algorithm; the abnormity grading module is used for grading annealing abnormity; and the real-time feedback module transmits the regulation and control parameters and the abnormal identifier to the control end. The system also has the functions of adjusting a rule base according to the characteristics of the steel strip, backtracking historical data, optimizing regulation and control, adaptively updating an abnormal threshold value and the like. Through cooperative work of all the modules, real-time monitoring and accurate regulation and control of the annealing temperature are achieved, the annealing quality and production efficiency of the electrical steel strip are improved, and the cost is reduced.

The invention relates to the technical field of grease production control, in particular to a grease product production control method and system based on intelligent digitization. The method comprises the following steps: monitoring temperature, viscosity and turbidity data in a grease crystallization process in real time, and generating grease crystallization state snapshot data; performing crystallization state prediction according to the grease crystallization state snapshot data, and performing reaction kettle cooling rate adjustment to obtain a target control cooling rate; performing real-time stirring rotating speed adjustment fuzzy reasoning on the grease crystallization state snapshot data to generate a corrected grease stirring speed; and performing control instruction conversion on the target control cooling rate and the corrected grease stirring speed, executing a production control instruction, and generating a grease crystallization process control report. By accurately controlling the cooling rate and the stirring speed, intelligent control over the grease crystallization process is achieved, and the quality and stability of grease products are remarkably improved.

The invention discloses a welding quality detection method and system, and relates to the technical field of welding quality detection.The method comprises the steps that a plurality of to-be-detected welding parts are determined, the temperature of a molten pool is continuously detected through a thermal imaging module in the welding process, and a molten pool temperature field distribution time sequence is generated. Based on the time series data, heat conduction analysis and cooling rate identification are performed to generate a heat conduction path and a cooling curve distribution. By analyzing the data, whether a heat accumulation or loss abnormal area exists or not is judged, and if the heat accumulation or loss abnormal area is abnormal, a quality detection signal is sent out. The technical problem that an existing welding quality detection method cannot accurately recognize welding defects caused by uneven heat conduction and abnormal cooling rate in the welding process in real time is solved, and the technical effect of improving the welding quality detection precision and timeliness is achieved.

The invention relates to the technical field of hot galvanizing, and discloses an automobile hot galvanizing process parameter optimization method and system based on artificial intelligence, and the method comprises the steps: carrying out window division processing on initial cooling parameters, constructing a cooling rate matrix, and finely depicting heat exchange states of different cooling sections; the problem of insufficient cooling control precision under different cooling speed alternating conditions is solved, a microscopic image is combined to extract the grain main axis direction, calculate the mean value and range of included angles, generate a consistency index set and quantitatively describe the dispersion problem in the grain growth direction, the cooling speed and the consistency index are jointly matched, and a cooling speed structure offset matrix is constructed. The method comprises the following steps: identifying a space mutation region, accurately positioning abnormal coarse or abnormal arrangement positions of crystal grains, and finally screening target cooling parameters according to a cooling index value corresponding to an abnormal region to realize local adjustment of a cooling process, thereby reducing the abnormal growth rate of the crystal grains and improving the direction consistency of the crystal grains.

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 provides a method for obtaining the optimal low-temperature impact toughness and a welded body, and the method comprises the following steps: S1, obtaining chemical components of sample steel, and calculating the cooling rate corresponding to the bainite phase change curve nose tip temperature of the sample steel; s2, the cooling rate serves as the key cooling rate of the welding heat cycle process, and the corresponding welding heat input amount is calculated; s3, cutting a plurality of cuboid thermal simulation initial samples of which the length directions are parallel to the rolling direction of the steel plate from the sample steel; s4, two-pass welding thermal simulation cycle experiments at different temperatures are set; s5, two thermocouples are welded to the center of the cuboid thermal simulation initial sample for temperature measurement, and a welding simulation experiment is completed; and S6, size machining is conducted on the welding sample, a low-temperature impact experiment is conducted, impact energy under different technologies is measured, and the optimal impact toughness of CGHAZ and ICCGHAZ is determined. The method can be used for developing and optimizing the welding process with insufficient low-temperature impact toughness of the submerged-arc welding heat affected zone of the low alloy steel.

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 relates to the technical field of automatic chip removal, in particular to a control method and system for a centralized chip removal machine of a numerical control machine tool, in the control method and system, the adjusting process of compression pressure is optimized through accurate calculation of the chip expansion rate, the cooling rate and the density change, and the influence of temperature change on the compression effect can be more accurately controlled. Through the combination of the expansion coefficient and the cooling time, the temperature fluctuation is monitored in real time, and the compression process is always kept in the optimal state under different machining conditions according to the deviation adjustment of the chip form and the compression pressure. The compression pressure is adjusted on the basis of the chip form data, so that the compression device has higher adaptability to iron chips of different shapes and types, unnecessary energy waste and machine damage are reduced, and the overall operation efficiency is improved. In addition, by dynamically calculating the chip removal flow speed, the conveying resistance and the periodic fluctuation, the chip removal path can be optimized in real time in the machining process.

The invention discloses an annealing furnace temperature parameter control method and system based on multi-source data, and relates to the technical field of annealing furnace temperature parameter control, and the method comprises the following steps: carrying out the data collection of the operation process of an annealing furnace, and generating an annealing process record; a temperature sensor is arranged in an annealing furnace to collect the temperature in the furnace in real time, the uniformity of a temperature field in the furnace is measured by calculating a temperature equilibrium coefficient, and time parameters used for compensating the heat conduction hysteresis effect are determined according to material characteristics and thickness parameters of a workpiece to be processed; based on the temperature equilibrium state monitored in real time and process requirements, the annealing process is subjected to control stage division; a comprehensive uniformity index is calculated by analyzing the temperature balance degree and the cooling rate uniformity at all moments in the annealing process, whether the control stage of the annealing furnace is abnormal or not is judged according to the condition that the fluctuation amplitude of the index at all moments does not exceed the preset multiple of the average value of historical uniformity indexes of workpieces of the same type, and temperature parameter control over the annealing furnace is achieved.

The invention discloses a high and low temperature environment test box thermal load verification method and system, and relates to the technical field of environment test, and the method comprises the steps: initializing a target temperature range, a cooling rate, a heating rate, a preset temperature fluctuation range and a thermal load demand, and carrying out the preliminary setting of a thermal load; adjusting a liquid nitrogen adjusting unit in real time by adopting a dynamic optimization algorithm, and adjusting internal thermal load parameters of the test box under the condition of no external thermal load to obtain reference data; based on a self-adaptive control algorithm, dynamically adjusting the matching relationship between the liquid nitrogen release rate and the internal thermal load of the test box, and verifying the operation state of the test box under different thermal load conditions; a self-adaptive thermal load adjusting algorithm is adopted, the relation between the liquid nitrogen release rate and thermal load change is adjusted in real time, and thermal load verification of the test box is carried out according to the states under different load conditions. According to the invention, through the dynamic heat exchange coefficient model and the high-order injection optimization algorithm, the thermal load verification precision of the high and low temperature environment test box is improved.

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 discloses a production method of microalloy rare earth Ce high-strength steel. The production method comprises the following steps: 1) a smelting process; (2) refining; 3) continuous casting and casting blank treatment; 4) cooling the casting blank; (5) rolling and heat treatment are conducted, specifically, rough rolling is conducted through a 3800 mm four-roller reversible rolling mill, the initial rolling temperature is 1050-1150 DEG C, and the reduction rate is larger than or equal to 25%; finish rolling: a 4100mm four-roller mill is adopted, the finish rolling temperature is 850-900 DEG C, and the thickness tolerance is + / -0.5 mm; cooling control is conducted, laminar flow accelerated cooling is adopted, the cooling rate is 15-25 DEG C / s, the final cooling temperature is 500-600 DEG C, and grain coarsening is inhibited; quenching: performing oil quenching to 150 DEG C or below, wherein the cooling rate is greater than or equal to 20 DEG C / s; and tempering: carrying out heat preservation at 620 DEG C for 30 minutes, and carrying out air cooling. The invention aims to prepare the high-strength steel which not only meets the strength requirement but also has good processability and economic benefits by accurately controlling the addition amount of the rare earth element Ce and production process parameters.

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 discloses an optimization method and system for a 42CrMo steel heat treatment process based on digital twinning, and the method comprises the steps: obtaining historical data of 42CrMo steel in each stage of the heat treatment process, and constructing a corresponding digital twinning model based on each cooling rate, deploying all the digital twin models at specified positions in a preset virtual space; acquiring a real-time data packet of the 42CrMo steel in the heat treatment process, and dividing the real-time data packet into a plurality of sub-data packets according to different cooling rates; determining a target time sequence identifier corresponding to each sub-data packet according to the cooling rate, and transmitting the target time sequence identifier to a corresponding target digital twin model; the target digital twin model runs the sub-data packets and generates corresponding optimization information; and detecting the current visual field range of the user, and guiding the user to adjust the visual field until the target digital twinborn model can be seen. By means of the digital twinborn model, accurate control over the cooling rate can be achieved, and therefore the abrasion resistance and hardness of the 42CrMo steel are optimized.

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 discloses a rubber numerical control electric heating cycle vulcanizing machine and a control system, and relates to the technical field of rubber processing equipment, a temperature distribution image of a vulcanizing cavity is collected in real time through a thermal imager, regions are divided, the temperature interval of each region is identified, and the area is calculated. Based on the key temperature interval of the rubber material, constructing a three-stage intelligent regulation and control strategy: dynamically adjusting the heating power and the pressure compensation according to the temperature interval distribution in the heating stage; in the constant temperature stage, heating power and pressure parameters are optimized through temperature stability; in the cooling stage, pressure dynamic compensation is implemented according to the cooling rate. The system uses RFID to record technological parameters such as temperature and time of each stage of vulcanization, and realizes classified storage and regular quality detection of products through an intelligent warehouse management system. Through multi-parameter cooperative control, the energy consumption is remarkably reduced, the vulcanization uniformity of the rubber product is improved, the defective rate is reduced, and an efficient and energy-saving solution is provided for the rubber processing industry.

The embodiment of the invention discloses an ICO sputtering target material with fine and uniform crystal grains and a preparation method of the ICO sputtering target material. The method comprises the steps that raw material powder is prepared into a high-density target material biscuit, and the target material biscuit is subjected to degreasing treatment; the degreasing temperature is 500-750 DEG C, the heating rate is 0.5-2 DEG C / min, and the heat preservation time is 180-300 min; continuously raising the temperature to a first sintering temperature for first sintering; the first sintering temperature ranges from 1450 DEG C to 1600 DEG C, the heating rate ranges from 2 DEG C / min to 4 DEG C / min, and the sintering time ranges from 20 min to 180 min; cooling to a second sintering temperature for second sintering; the second sintering temperature is 10-100 DEG C lower than the first sintering temperature, the cooling rate is 2-5 DEG C / min, and the sintering time is 1200-1800 min; cooling to a third sintering temperature and carrying out third sintering; the third sintering temperature is 800-1000 DEG C, the cooling rate is 0.5-2 DEG C / min, and the sintering time is 180-360 minutes; cooling to 200 DEG C at a cooling rate of 2-5 DEG C / min; and then naturally cooling to room temperature to obtain the ICO target material with fine and uniform crystal grains.

The invention relates to a control method of refrigeration equipment, the refrigeration equipment and a refrigerator and relates to the technical field of refrigeration, and the method comprises the steps that under the condition that the temperature of an object in the refrigeration equipment is smaller than a preset temperature, the cooling speed change rate of the object is determined; under the condition that the cooling speed change rate is smaller than a preset value, the freezing temperature of the article is obtained according to the target cooling speed of the article; and the refrigeration temperature in the refrigeration equipment is adjusted to be higher than the freezing temperature. By means of the control method of the refrigeration equipment, the refrigeration equipment and the refrigerator, the freezing temperatures of different objects can be obtained, the refrigeration temperature is adjusted to be higher than the freezing temperature, and the object freezing probability is reduced.

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 linear cooling control method of an environmental test box and the environmental test box. The method comprises the following steps: acquiring the temperature in a to-be-controlled environment test box, the suction pressure of a variable-frequency compressor and the exhaust pressure of the variable-frequency compressor; calculating the linear cooling rate of the to-be-controlled environment test box based on the preset temperature parameter; according to the temperature in the box, the suction pressure of the inverter compressor, the exhaust pressure of the inverter compressor and the linear cooling rate, a database is obtained, and the target rotating speed of the inverter compressor, the target opening degree of an electronic expansion valve, the target rotating speed of an evaporator fan and the target rotating speed of a condenser fan of the to-be-controlled environment test box are calculated based on the database; and based on the calculated target rotating speed of the inverter compressor, the target opening degree of the electronic expansion valve, the target rotating speed of the evaporator fan and the target rotating speed of the condenser fan, the inverter compressor, the electronic expansion valve, the evaporator fan and the condenser fan of the to-be-controlled environment test box are controlled to act, so that linear cooling control over the to-be-controlled environment test box is achieved.

The method comprises the following steps: preparing an epoxy sample with a bidirectional strain gauge, carrying out multi-stage thermal cycle treatment on the epoxy sample, and recording strain data to determine an optimal treatment parameter combination, namely temperature, heat preservation time, cooling rate and cycle index; carrying out stress reduction treatment on the epoxy composite insulator based on the optimal treatment parameter combination; the device comprises a programmable oven, a strain gauge and an upper computer. The method is easy and convenient to operate and low in cost, through multi-scale collaborative optimization, the residual stress of the current commercial epoxy composite insulating part can be remarkably reduced, the reliability of the epoxy composite insulating part for the ultra / extra-high voltage power equipment is remarkably improved, and the method has wide engineering application prospects.

The invention provides an intelligent manufacturing method of colored glazed glass and a related device. The method comprises the following steps: collecting the surface temperature of discharged glass of a target object in real time; the target object is colored glazed glass, and the acquisition mode is high-resolution scanning; generating a real-time temperature distribution diagram according to the surface temperature of the discharged glass; the real-time temperature distribution diagram comprises real-time temperature values of all surface areas in the target object; inputting the real-time temperature distribution diagram into a glass stress distribution model, and generating wind pressure regulation and control parameters applied to each surface area; the air pressure regulation and control parameters are used for indicating real-time target air pressure required to be reached by the quenching air grid module corresponding to each surface area; and controlling each corresponding independent air grid area in the quenching air grid module by adopting the air pressure regulation and control parameters. According to the application, the real-time wind pressure of each surface area can be adjusted, so that the cooling rates of all the surface areas are consistent, the problem of temperature difference and stress imbalance in colored glaze glass tempering is solved, and the overall quality of a product is improved.

The invention provides a metal product quenching treatment process monitoring system and method, relates to the field of metal processing, and is characterized in that forged metal is obtained and subjected to preheating, quenching heating, quenching cooling, low-temperature tempering and cleaning rust-proof treatment to obtain finished metal. Wherein the quenching cooling needs to obtain a time queue of real-time metal temperature, real-time temperature of a cooling medium and real-time pressure of the cooling medium, and then input data is subjected to time sequence implicit coding, feature splicing and bidirectional interactive response representation so as to automatically recommend the flow velocity of the cooling medium, and the flow velocity is compared with the real-time flow velocity; therefore, a cooling medium flow rate adjusting instruction is generated. Therefore, the self-adaptability and the dynamic response capability of the system can be improved, the stability and consistency of the cooling effect are ensured, the cooling condition is timely responded and adjusted, and the problem of internal stress caused by inconsistent cooling speed is avoided.

The invention provides a control method of a friction stir welding device, which overcomes the problem that the cooling rate is difficult to adjust accurately in the traditional water cooling mode by accurately controlling the temperature distribution of each area in the welding process, and comprises a welding table, a positioning clamp, a welding part and a cooling mechanism, according to the cooling mechanism, gradient cooling is conducted on welding seams and areas on the two sides of the plate through a plurality of cooling flow channels in a box body connected with the welding part, a plurality of injectors and fans are connected with the cooling flow channels, and the injection amount of cooling liquid and the flow speed of airflow are accurately adjusted; the controller calculates the target cooling amplitude of the welding seam and the heat dissipation areas on the two sides according to the environment parameters, the plate target parameters and the stirring head control parameters, and controls the injection amount of cooling liquid and the airflow velocity in all the flow channels according to the target cooling amplitude, so that the situation that the temperature difference between the welding seam and the areas on the two sides is too large is avoided; welding defects such as microcracks and deformation caused by non-uniform thermal stress in the welding process are prevented, and the welding quality and the joint strength are remarkably 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.