724 results about "Cooling rates" patented technology

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 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 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 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 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 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 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 design method, system and equipment of a mass concrete structure water cooling system, and belongs to the technical field of concrete structure design. Aiming at the problems of large calculation amount, long time consumption and multiple trial calculation times in the design of the existing mass concrete structure water cooling system, the method comprises the following steps: establishing a concrete structure surface temperature field model by combining a heat conduction theory, a hydration heat model and a cooling water pipe heat absorption effect; based on the principle of energy conservation, under the boundary condition, an energy time-history change model of the concrete structure at each moment and an internal temperature model of the concrete structure in the temperature rise stage are established, the length of a cooling water pipe is determined, and the cooling water pipe is arranged; and finally determining the cooling rate and the cooling water flow rate of the concrete structure in the cooling stage to complete the design of the concrete structure water cooling system. According to the method, excessive finite element trial calculation can be avoided, the design efficiency is improved, the construction risk is reduced, and the quality and durability of the concrete structure are ensured.

The present invention discloses a method for automatically controlling the feeding of steel plates with changed heating processes into a heat treatment furnace, belonging to the technical field of metallurgical automation. The method generates a production mark for process change by program judgment when the set furnace temperature of the last steel plate in the furnace is different from that of the steel plate to be loaded. Steel plates with the production mark for process change are not allowed to be automatically fed into the furnace. At the same time, according to the real-time position of the steel plate in the furnace in the heating zone, the function of automatically setting the temperature of each heating zone is realized, and the time required for the heat preservation zone of the heat treatment furnace to reach the set temperature is calculated based on the heating and cooling rates of the heat treatment furnace. By comparing the heating and cooling time with the time for the steel plate to be loaded to reach the heat preservation zone, the feeding time of the steel plate with the changed heating process is automatically judged, and the automatic control of the feeding of the steel plate with the changed heating process is realized. This method can effectively avoid the situations of slow production rhythm and energy waste caused by untimely manual furnace temperature setting, misjudgment of the manual loading time, delay, etc.

The invention belongs to the technical field of lead iodide crystal preparation, and discloses a lead iodide crystal and a method for adjusting the preferred orientation of a lead iodide crystal face, the method for adjusting the preferred orientation of the lead iodide crystal face comprises the following steps: step 1, adding an acid solution into a lead iodide solution, and diluting the lead iodide solution until the concentration of lead iodide is 10mM-50mM; 2, the diluted lead iodide solution is subjected to aging treatment, a solid-liquid mixture is obtained, the aging temperature ranges from 25 DEG C to 120 DEG C, the aging pressure is smaller than or equal to 6 Mpa, and the aging time ranges from 2 h to 4 h; and step 3, controlling the cooling rate of the solid-liquid mixture to be 6-10 DEG C / min for cooling, and then separating to obtain solid lead iodide. According to the method disclosed by the invention, the preferred growth condition of the lead iodide crystal face is controlled through concentration control, an aging process and a sectional cooling process under the condition that a complexing agent, a surfactant or a template agent does not need to be additionally added.

The invention relates to a 1450MPa-grade high-strength tool steel wire rod and a manufacturing method thereof.The method includes the steps that after Nb-V chemical component design rolling and spinning are conducted to form a wire rod, online molten salt phase change regulation and control quenching isothermal treatment is conducted, the wire rod is controlled to be cooled from a high-temperature austenite state at the front-section molten salt at the cooling speed larger than or equal to 36 DEG C / s, part of austenite is promoted to be converted into a martensite structure, and then the temperature of molten salt is reduced from the high-temperature austenite state at the cooling speed larger than or equal to 36 DEG C / s; the method comprises the following steps: heating to a sorbite phase region through a rear-section molten salt, promoting the transformation of austenite residues to a sorbite structure, carrying out isothermal tempering toughening destressing treatment on the structure, and finally carrying out roller way slow cooling to prepare the wire rod with a microscopic structure comprising isothermal sorbite and tempered martensite, so that the strength and plasticity matching of the wire rod can be improved, the tensile strength is 1410-1460 MPa, and the tensile strength is 410-460 MPa. The percentage reduction of area is 37%-42%, additional heat treatment is avoided after cold machining forming, tool steel parts are directly machined, the production energy consumption and cost of the high-strength tool steel are reduced, and the production efficiency is improved.

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.

An additive manufacturing system includes a work region having a layer of metallic powder distributed across at least a portion of the work region. The system further includes a power source, a scanning and focusing system and a processor. The processor is configured to control the power source to emit a beam of energy at a power level and to manipulate the beam of energy across the work region in a plurality of build tracks to form a part from the fused metallic powder. The processor further determines a cooling rate at a termination of each of the plurality of build tracks and controls the power level of the power source in response to the determined cooling rate.

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.