83 results about "Cooling curve" patented technology

The invention relates to the technical field of alloy pouring processes, in particular to a magnesium alloy heterogeneous flow overall coordination pouring process which comprises the steps of conducting pouring numerical simulation through simulation software, optimizing pouring design and determining a composite flow guide structure, a mold temperature control scheme and an alloy component regulation and control strategy. Magnesium alloy smelting and refining are conducted; preheating the mold by using an intelligent temperature control system; during the period, the intelligent temperature control system monitors and adjusts the temperature of the mold, and the online alloy adding system and the impurity adsorption filtering device keep the components of the melt uniform and pure; and after pouring is completed, controlling the mold temperature according to a preset cooling curve to slowly and uniformly solidify the melt. The design of the bionic branch-shaped flow dividing structure, the dynamic adjustable flow guide plate and the like reduces casting defects, and the casting forming quality is improved. And on-line alloy adding and impurity adsorption filtering ensure that melt components are stable, and the casting performance is improved.

The invention provides a method for on-line detection of spheroidization rate and shrinkage porosity index of nodular cast iron, which comprises the following steps: pouring molten iron subjected to spheroidization into a thermal analysis sample cup, recording the change rule of the temperature of the molten iron in the thermal analysis sample cup along with time, and drawing a cooling curve of solidification time-temperature; according to the shape of the cooling curve, determining which of a hypoeutectic solidification mode, a near-eutectic solidification mode and a hypereutectic solidification mode the solidification mode of the spheroidized iron liquid belongs to; different calculation formulas are adopted for predicting the nodularization rate and the shrinkage porosity index of the nodular cast iron according to the three different solidification modes. The method comprises the following steps: drawing a cooling curve between solidification time and temperature of molten iron, carrying out numerical differential treatment on the curve to obtain a temperature value of a feature point, and judging which solidification mode of the molten iron belongs to a hypoeutectic solidification mode, a near-eutectic solidification mode and a hypereutectic solidification mode according to the shape of the cooling curve. And further calculating the spheroidization rate and shrinkage index of the spheroidized molten iron through a formula.

The invention relates to the technical field of blow molding machines, in particular to an intelligent bottle body blow molding machine based on the Internet of Things, comprising: a bottle preparation module for performing blow molding on a bottle blank to prepare a finished bottle; the data storage module is used for storing a reference cooling curve; comprising a temperature acquisition unit for acquiring the temperature of a plurality of detection points of the prepared bottle and a wall thickness acquisition unit for acquiring the wall thickness values of the detection points; the control module is used for judging whether the preparation of the bottle meets a preset standard or not according to the cooling uniformity characterization value of the bottle and the cooling curve coincidence characterization value of the bottle; and the adjusting module is used for determining a processing strategy according to the wall thickness distribution standard deviation of the bottle. The preparation efficiency of the bottle is improved.

The invention relates to the technical field of cast iron alloys, in particular to a preparation method of high-carbon-equivalent gray cast iron, which comprises the following steps: taking scrap steel as a main material, taking scrap castings, silicon carbide and a carburant as auxiliary materials, and smelting according to a determined raw material ratio and a determined carbon equivalent value range; sampling smelted molten iron to obtain a first cooling curve of the molten iron, extracting characteristic points, performing thermal analysis to determine the metallurgical state of the molten iron, and adjusting the content of pre-inoculated silicon carbide or analyzing the possibility of over-inoculation; pre-inoculation is conducted on the smelted molten iron, the smelted molten iron is secondarily sampled to obtain a second cooling curve of the molten iron, feature points are extracted, the pearlite form is determined, and the sensitivity index of the smelted molten iron to inoculation is calculated according to the change condition of the feature points of the first cooling curve and the second cooling curve. Through pre-inoculation adjustment and tapping inoculation and pouring inoculation, the problems that graphite is thick and large and the performance is reduced easily due to high carbon equivalent are solved.

The invention relates to the technical field of freeze-drying control, and discloses a freeze-drying control method and system based on dynamic parameter regulation and control and heat and mass transfer simulation. The method comprises the steps that a multi-point temperature sensor collects temperature gradient and mass change rate data; a chaos butterfly effect algorithm identifies a nonlinear transition point and predicts an ice crystal growth trend; evaluating the heat conductivity coefficient of the material, and dividing kernel, middle and surface regions; designing a differentiated cooling curve; and cooperative control instructions of the refrigeration compressor unit, the vacuum pump unit and the heating plate array are generated, and multi-stage cooperative control is achieved. The problems of uneven ice crystal distribution and material structure damage caused by extensive temperature control in a traditional building material freeze-drying process are solved.

The invention discloses a forward and reverse optimization design method for a steel heat treatment process. The forward and reverse optimization design method comprises the following steps: step 1, establishing a steel model; acquiring a temperature field of the steel model based on an actual heat treatment process; based on the cooling mode, obtaining a cooling curve of the steel model; 2, based on the cooling curve and the temperature field, the microstructure of the steel model after heat treatment is obtained through calculation; 3, mechanical property calculation of the steel model is conducted according to the microstructure, and forward optimization of the steel heat treatment process is achieved; meanwhile, according to the requirements of the mechanical property of the steel model, the microstructure and the heat treatment process of the steel model are reversely determined, and reverse optimization of the steel heat treatment process is achieved. According to the method, the influence rule of the heat treatment process parameters on the mechanical property can be positively calculated, and the heat treatment process parameters can be reversely and optimally designed based on the mechanical property.

The invention relates to the technical field of freeze dryer control, and discloses an automatic control method and system for a constant-temperature bottle hanging type freeze dryer. The method comprises the following steps: acquiring multi-dimensional parameter data such as temperature gradient, vacuum degree fluctuation and material ice crystal form in the freeze dryer, performing real-time synchronous calibration through a multi-source data fusion engine, and generating an environment state matrix; and constructing a freeze-drying stage dynamic division model based on the matrix, accurately identifying the switching critical points of the pre-freezing stage, the primary drying stage and the secondary drying stage, and outputting and activating a corresponding temperature control strategy and a vacuum adjustment strategy according to the model. The temperature control strategy comprises a gradient cooling curve and a heating rate constraint, and the vacuum adjustment strategy comprises a pressure threshold sequence and a leakage compensation mechanism. The deviation between the ice crystal form of the material and the preset template is monitored through the closed-loop feedback unit, control strategy execution parameters are dynamically corrected, refined intelligent control over the freeze-drying process is achieved, and the stability of a freeze-dried product is guaranteed.

The application discloses a kind of online judgment ZL114A alloy modification level thermal analysis method, comprising: 1) in the production smelting process of ZL114A alloy, a certain amount of cast aluminum melt is sampled, and is poured in square sample cup with thermocouple, and the cooling curve of aluminum liquid solidification process is collected using thermal analysis instrument, and the temperature data in cooling process is obtained;2) the temperature data of the collected aluminum liquid solidification process is filtered, the interference in the experimental process is excluded, and the temperature characteristic value required for subsequent analysis is extracted;3) the temperature characteristic value of ZL114A in cooling process extracted from cooling curve is substituted into modification grade evaluation model, and the modification grade of ZL114A evaluated by software online is obtained.The method of the application uses modification grade calculation model to evaluate and calculate the modification grade of target aluminum liquid, can make more rapid, more accurate judgment to the modification effect of ZL114A alloy, provide basis for the dynamic adjustment of the addition amount of modifier in production process, and guarantee the yield of ZL114A alloy.

The invention relates to a thermal analysis method and a measuring device for a solidification process after modification treatment of aluminum and aluminum alloy, and the thermal analysis method comprises the following steps: adding seed crystal particles into an overheated melt in a vacuum environment or an inert atmosphere through a feeding device; cooling and solidifying the overheated melt, and collecting and recording a cooling curve T-t of the seed crystal particles through a high-speed temperature collecting device; the cooling curve is subjected to derivation calculation, and thermal characteristic parameters in the melt solidification process are represented; comparing the thermal characteristic parameters, and judging the deterioration effect. According to the method, the seed crystal particles are placed into the melt, melt solidification data are collected, and efficient judgment and high-throughput screening of the seed crystal particles and the second-phase modified refined seed crystal particles in the aluminum alloy are achieved by means of the quantitative relation among the seed crystal particle characteristics, the local temperature and the supercooling degree.

The invention provides a powder material cooling device, and relates to the technical field of powder cooling. The device comprises a feeding bin, a cooling bin and a discharging bin. A feeding pipe is fixedly connected to the center of the upper side wall of the feeding bin, a reducing inner pipe is fixedly connected to the middle of the feeding pipe, and an air inlet pipe is fixedly connected to the outer side wall of the reducing inner pipe. A cooling frame is installed in the cooling bin and composed of a plurality of cooling bent plates arranged in parallel, the cooling bent plates are wavy, a plurality of rows of cooling grooves are formed in the outer side walls of the cooling bent plates, and cooling inner cavities are formed in the cooling bent plates. The discharging bin is installed on the lower side wall of the cooling bin. By optimizing the structure and layout of the cooling bent plate, the contact area and contact time of a powder material and a cooling medium are remarkably increased, and therefore efficient cooling is achieved. Meanwhile, air and powder are mixed through the arrangement of the reducing inner pipe, the flowability of powder materials is improved while precooling is conducted, blocking is prevented, and it is ensured that the materials evenly enter the cooling bin.

The present application relates to a kind of Bi-doped rare earth iron garnet body single crystal growth techniques without substrate, comprising the following steps: raw material preparation, melt preparation, melt is cooled to crystal growth temperature, after melt temperature stabilizes, slowly lower the seed crystal rod installed with seed crystal, with melt, seed crystal rotates at a certain speed;During growth, crystal growth is carried out according to the set variable speed cooling curve, and block crystal is obtained after growing for a period of time;Block crystal is pulled out from melt, and slowly cooled to room temperature, and Bi-doped rare earth iron garnet body single crystal is obtained.The present application obtains large-size block single crystal, gets rid of the dependence of existing Faraday optical rotator growth on substrate, and reduces production cost.The present application can obtain Faraday optical rotator which is thinner than existing product thickness at the same wavelength, further reducing the volume.Moreover, multiple surfaces are simultaneously grown, and larger size crystal is obtained.

The present invention discloses a method for obtaining the drying and cooling time and a washing machine, which includes the steps of: obtaining temperature parameters at multiple sampling time points within a preset duration after the start of drying and cooling; calculating a screening function and a function to be fitted through the sampling time points and the temperature parameters; screening the function to be fitted that meets the conditions through the screening function; and then performing fitting to obtain a drying and cooling curve function. The present invention collects data in the initial stage of drying and cooling, obtains a screening function through the collected data, and screens valid data through the screening function. Multiple curves are obtained through the valid data. An accurate drying and cooling curve is fitted by combining the obtained multiple curves with corresponding reasonable ratios. Finally, the drying and cooling time is obtained by setting the drying and cooling end temperature and combining the fitted drying and cooling curve, and the drying and cooling end time is displayed on the display board, which is less affected by factors such as the environment and the working conditions of the whole machine, and the calculated drying and cooling time is more accurate.

The invention discloses a forging process for regulating and controlling the grain size of high-toughness non-magnetic steel, and particularly relates to the technical field of non-magnetic steel forging.The forging process comprises the steps that parameters of a forged finished product and a forging ratio interval during forging each time are set, and parameters of a forged blank are detected through a detection assembly on an equipment body; according to the finished product parameters and the blank parameters, the forging ratio of each time of forging is calculated; the method comprises the following steps: detecting the size parameters of a blank, measuring the parameters of the blank after each forging in real time, finely adjusting the forging ratio of subsequent forging according to the parameters, measuring the cooling rate of the forged blank, drawing a cooling curve, determining a rapid cooling area, and rapidly cooling the blank in the rapid cooling area. Therefore, it is guaranteed that the blank has enough deformation during forging every time, original coarse grains can be thoroughly broken, sufficient recrystallization refining is induced, a cooling area of the blank is cooled, and the broken coarse grains are prevented from growing again during recrystallization.

The invention discloses a method for evaluating macroscopic non-uniformity of a block amorphous alloy casting based on equivalent thickness, and belongs to the technical field of amorphous alloy casting determination. The method comprises the following steps: step 1, preparing a plurality of amorphous alloy reflector small wafer castings with the diameter of 3 mm and the thickness of 0.8 mm, wherein the small wafer castings achieve mirror surface smoothness; 2, the thermal history of the amorphous alloy reflector small wafer casting obtained in the step 1 in the solidification process is quantitatively recorded; 3, all parts of the casting are determined to be all-volume amorphous, and thermodynamic parameters are obtained; 4, analyzing a cooling curve based on the thermodynamic parameters in the step 3; 5, after the solidification time and the equivalent thickness value of different typical characteristic areas of the amorphous alloy casting are obtained, structure property characterization is conducted on different areas of the casting, a relation is established with the structure property characterization, and evaluation of the macroscopic non-uniformity of the block amorphous alloy casting is achieved. The method aims at the problem of measurement of the macroscopic non-uniformity of the block amorphous alloy casting.

The invention discloses a superconducting magnet cooling process fault identification method and device, and the method comprises the steps: obtaining the real-time temperature of a superconducting magnet in a cooling process, and obtaining a deviation value between a first real-time temperature and a first theoretical temperature if the first real-time temperature at a first moment deviates from the first theoretical temperature of the superconducting magnet, the first theoretical temperature is the temperature corresponding to the first moment on the cooling curve; if the deviation value is within a first preset range, executing a first fault identification strategy; if the deviation value is not within the first preset range, executing a second fault identification strategy; and based on the first fault identification strategy and the second fault identification strategy, realizing fault identification in the cooling process. According to the method, the abnormal condition in the cooling process of the superconducting magnet can be recognized in time, the possibility that the superconducting magnet is damaged due to the fact that the optimal fault recognition time is delayed is avoided to a certain extent, an operator does not need to check the whole cooling process in real time in the whole process, the operation process is optimized, and the working efficiency is improved.

The invention discloses a dynamic coupling monitoring method for full-working-condition thermal characteristics of a numerical control machine tool feeding system. The method comprises the steps of collecting machine tool cold state data; recording the steady-state temperature of each measuring point and the elongation of the tail end of the screw rod in the heat balance state; collecting the temperature of each measuring point, the elongation of the tail end of the screw rod and the positioning error under variable speed and variable load experiments; continuously monitoring a cooling curve after shutdown; fitting a thermal time constant based on the Newton's cooling law; performing range analysis and variance analysis on temperature, speed, load and stroke four-factor three-level orthogonal experiment data to obtain the priority of each influence factor; a simulation model is constructed, experimental data and simulation data are compared point by point, and the average deviation of temperature, deformation and positioning errors is calculated; if the deviation exceeds the limit, reversely optimizing the friction coefficient and the heat exchange coefficient until a high-precision simulation model is obtained; and extracting data of an experimental difficult-to-measure region based on a high-precision simulation model, tracking a global thermal deformation transfer path, generating a thermal error compensation table, and guiding optimization of a heat dissipation structure.

The invention relates to a metallurgical quality control method for vermicular graphite cast iron. The method comprises the steps that parameters in the melt vermicularizing process are collected in real time, and a process data set is generated; establishing a dynamic differential equation set comprising four stages of dissolution, diffusion, reaction and recession, and outputting effective vermicularizing element concentration time sequence data by solving the dynamic differential equation set; differentiating a cooling curve in the process that the melt is solidified to form the casting to obtain a cooling curve characteristic value, calculating a current vermicularizing rate predicted value and a vermicularizing change rate through a thermal analysis model, calculating real-time temperature field distribution and pressure field data, and calculating a shrinkage tendency index of each area of the casting through multi-physics field coupling, and dynamically adjusting the adding amount of the vermiculizer and the electromagnetic stirring parameters according to the index and the vermicularizing change rate. According to the method, through real-time monitoring, multi-physics field coupling analysis, dynamic adjustment of technological parameters and the like, the regulation and control capacity on the melt vermicularizing process and the casting quality is improved, and effective control over the shrinkage porosity defect is achieved.

The utility model discloses annealing equipment, include: annealing furnace, air inlet pipe, fixedly inserted in the bottom of annealing furnace, the circumferential surface of air inlet pipe is equipped with multiple groups along the axial distribution's through -hole no. 2, the air inlet pipe has the screw rod of coaxial rotation and inserts, the utility model discloses the cooperation of fan, series heat exchange pipe and water tank baffle, forms multistage cooling system, and high -temperature gas is fully heat exchanged with cooling medium in heat exchange pipe, and baffle prolongs cooling medium flow path, and the heat exchange efficiency is greatly promoted, realizes the step -by -step reduction of gas temperature, simultaneously, the design of air inlet pipe screw rod and plugging piece can quantize the opening area of through -hole no. 2, and the input of low -temperature gas is controlled, thereby realizes the multi -stage cooling curve of " heat preservation slow cooling fast cooling", matches austenite decomposition, pearlite transformation etc. Phase change demand in material annealing process, effectively avoids the material performance defect caused by improper cooling.

The present application belongs to the field of refrigeration control technology, and discloses a refrigeration system optimization method and device based on error correction, the method comprising: obtaining the target demand cooling capacity and current environmental parameters, and inputting them into an optimization model to obtain optimal control parameters and predicted power; constructing a performance curve; the performance curve comprises a temperature cooling curve, a temperature correction curve, and a load correction curve; inputting the optimal control parameters into the performance curve to obtain the actual power; subtracting the actual power from the predicted power to obtain a power error value; judging whether the absolute value of the power error value is less than a preset error threshold; if so, allowing the refrigeration system to operate according to the optimal control parameters; if not, adjusting the cooling water inlet temperature in the optimal control parameters according to the power error value. The present application can correct the errors of the optimal control parameters output by the optimization model, ensuring that the refrigeration system can operate at the optimal power consumption while meeting the target demand cooling capacity.

This invention relates to a method for cooling and storing a sample. The programmed cooling method is divided into several step-by-step cooling methods corresponding to a standard ambient cooling curve. In each step-by-step cooling, it is determined whether the sample needs to be raised or lowered by determining whether the actual ambient temperature T1 is equal to the target ambient temperature w. The actual ambient temperature T1 is then adjusted to match the target ambient temperature w, and the actual ambient temperature T1 is adjusted to match the target temperature T2 of that step-by-step cooling. After the sample is cooled in each step in sequence, it finally reaches the temperature required for cryogenic storage and is stored directly in a liquid nitrogen storage box. The sample cooling and storage method of this invention can simultaneously achieve programmed cooling and sample storage, and is suitable for processing single-layer samples.

The invention discloses a heat treatment method for improving the flatness of an aluminum oxide ceramic plate, and belongs to the technical field of aluminum oxide ceramic plates. The heat treatment method comprises the following steps that S1, green bodies obtained after glue discharging are stacked in a sintering furnace; s2, emptying oxygen in the furnace; s3, process parameters in the sintering furnace are set, and the temperature is increased to a first preset temperature within a first preset time period; s4, setting a second temperature range, a second preset time period range, a third preset temperature range, a third preset time range and a fourth preset time period; s5, a fifth preset natural cooling curve; s6, carrying out secondary heat treatment; s7, inert gas is introduced into the sintering furnace; s8, heat treatment process parameters of the sintering furnace are set, and the temperature is increased to a first preset temperature within a first preset time period; s9, setting a second temperature range, a second preset time period range, a third preset temperature range, a third preset time period range and a fourth preset time period; and S10, a fifth preset natural cooling curve is set.

The invention belongs to the field of metal material preparation, and discloses a Cu-Zn-Ti-Si alloy synergistically strengthened by a primary phase and a hypoeutectic structure and a preparation method for regulating components and cooling speed of the Cu-Zn-Ti-Si alloy. Comprising the following steps: (1) burdening; (2) in an argon atmosphere, heating pure copper until the pure copper is molten, and sequentially adding the copper-titanium intermediate alloy and the copper-silicon intermediate alloy; (3) after the intermediate alloy is completely melted, pressing the pure zinc block wrapped by the copper foil into the melt; (4) carrying out electromagnetic stirring, then raising the temperature to a target temperature, and carrying out flaming degassing treatment; and (5) after the melt is stable, pouring the melt into a preheated copper mold, monitoring a cooling curve in real time by using a built-in thermocouple, and accurately controlling the cooling rate by adjusting the preheating temperature and the pouring speed of the mold so as to obtain a target microstructure. The invention provides an effective technical approach for solving the problems that the matrix strength is insufficient and the hard phase is easy to fall off in the traditional single strengthening mode, and has important significance on the development of novel wear-resistant brass alloy.

This invention discloses a method, system, and equipment for controlling interlayer concrete pouring based on infrared thermal imaging. The method uses an infrared thermal imaging module and an environmental information acquisition module to acquire the concrete surface temperature field and environmental parameters in real time, constructing a spatiotemporal temperature field model and plotting cooling curves. Based on a preset interlayer temperature window and internal temperature rise threshold, a dual-objective optimization decision algorithm dynamically calculates the recommended coverage time window for the upper layer of concrete, achieving intelligent early warning. A quality traceability report is automatically generated after pouring. This invention solves the problems of traditional methods relying on experience and having limited perception, achieving precise and intelligent control of the interlayer pouring time interval and full-process quality traceability.

The application discloses a kind of based on organization prediction transverse crack determination method and system, comprising the following steps: S1, real-time collection L2 system slab identification information, when finding slab cutting, from L2 system collection the production performance information of this slab;S2, according to production performance information calculation obtains cooling curve, i.e. The temperature-time curve in the process from liquid to solid state;S3, according to production performance information, cooling curve, through slab organization prediction model module carries out the prediction of slab solidification organization information;S4, based on production performance information, slab solidification organization information, through transverse crack determination model module carries out the prediction of slab transverse crack, for the slab predicted as transverse crack carries out offline processing.The application fully considers the organization characteristics and performance in production of transverse crack occurrence, can reduce misjudgment rate, is favorable for improving hot charging hot delivery rate.

The invention relates to the technical field of steel and iron, and discloses an online cooling and transporting treatment method after bar rolling, which comprises the following steps: S1, carrying out gradient temperature control preparation (0-10 seconds after rolling) at a cooling front section, S2, carrying out segmented precise cooling (10-60 seconds after rolling) at a cooling middle section, S3, carrying out collaborative scheduling and anti-deformation treatment (60 seconds after cooling and stacking finished products) at a transporting section, and S4, carrying out quality feedback and process iteration (full-process closed loop). According to the scheme, precise temperature control and quality improvement are achieved, and subsection cooling cooperation is achieved, specifically, a cooling channel is divided into a rapid cooling area, a slow cooling area and a uniform temperature area, infrared temperature measurement and thermocouple real-time monitoring are combined, and the cooling rate of 20-30 DEG C / s is adopted for different steel types (for example, HRB400 needs to rapidly inhibit grain growth; and (65Mn needs to control martensite generation, and the speed of a slow cooling area is adjusted to 5-10 DEG C / s), the cooling strength (the opening degree of an aerial fog nozzle, the cooling water flow and the gas-water ratio) is dynamically adjusted, the bar cooling curve fitting rate is larger than or equal to 95%, and the phase change uniformity is improved.

This invention discloses a temperature-controlled cooling device for ceramic glaze after firing, comprising a furnace body and a furnace cover. The furnace body is equipped with a rotating frame for supporting ceramic products, a controllable air intake component for introducing external cooling air, and a turbulence component for forcing airflow circulation within the furnace. The device also includes a detection component and a control component. The control component adjusts the opening degree of the controllable air intake component based on the temperature signal fed back by the detection component. In this invention, the control component dynamically adjusts the opening degree of the controllable air intake component using a PID algorithm based on the real-time temperature signal fed back by the detection component, and, in conjunction with the variable frequency start / stop and speed control of the turbulence component, can reduce the deviation between the actual cooling curve inside the furnace and the preset multi-segment, linear, or nonlinear process curve. Compared to traditional natural cooling or simple fan cooling, this refined control can effectively match the stress release dynamics of ceramic products of different materials and shapes, thereby reducing the defect rate of the ceramic glaze surface and significantly improving the yield.

A molten salt electrolyte primary crystal temperature measuring device belongs to the technical field of molten salt electrolyte physical property testing, and comprises a high temperature furnace, a crucible, a sealing cover, a support, a conductance cell, a thermocouple, a resistance measuring instrument, a temperature measuring instrument and a computer, and the conductance cell adopts a duplex integrated structure or a single-tube split structure. According to the molten salt electrolyte primary crystal temperature measuring device, the conductance cell is used for measuring the resistance of the molten salt electrolyte, a curve of the melt resistance changing along with the temperature is drawn, when non-conductive crystals are separated out from the surface of the electrode of the conductance cell, inflection points appear on the curve of the melt resistance changing along with the temperature, and the molten salt electrolyte primary crystal temperature is measured. The temperature corresponding to the inflection point is the primary crystal temperature of the molten salt electrolyte; and meanwhile, a thermocouple is used for synchronously measuring the melt temperature of the molten salt electrolyte, a melt step cooling curve is drawn, and through mutual verification of the melt step cooling curve and a curve of melt resistance changing along with the temperature, the identification reliability of the molten salt electrolyte primary crystal temperature is further improved.

This invention discloses a method and system for determining the construction window of steel slag asphalt mixture based on its thermal conductivity, belonging to the field of road engineering technology. The method includes: determining the steel slag content and optimal asphalt content of the steel slag asphalt mixture; performing a temperature compaction test on the steel slag asphalt mixture to obtain the minimum allowable compaction temperature; determining the thermal conductivity and specific heat capacity of the steel slag asphalt mixture based on the mix proportion, and constructing a thermodynamic simulation model incorporating the thermal conductivity and specific heat capacity of the steel slag asphalt mixture; acquiring real-time environmental parameters and real-time temperature field data of the underlying layer, inputting them into the thermodynamic simulation model, and predicting the cooling curve; extracting the time point in the cooling curve where the temperature drops to the minimum allowable compaction temperature, and determining the effective construction time window based on the paving start time. This invention achieves scientific and dynamic prediction of the construction time window, significantly improving the compaction quality and durability of steel slag asphalt pavement.

The application discloses a kind of CNC machine tool feeding system full working condition thermal characteristic dynamic coupling monitoring method, including acquisition machine tool cold state data;Record the steady-state temperature of each measuring point in thermal equilibrium state and screw tail elongation;Collect the temperature of each measuring point, screw tail elongation and positioning error under variable speed, variable load experiment;After shutdown, continue to monitor the cooling curve;Based on Newton cooling law fitting thermal time constant;Range analysis and variance analysis are carried out to orthogonal experiment data of four factors and three levels of temperature, speed, load and stroke, to obtain the priority of each influencing factor;Simulation model is constructed, and experimental data and simulation data are compared point by point, to calculate the average deviation of temperature, deformation and positioning error;If deviation is out of limit, reverse optimization friction coefficient and heat transfer coefficient until high-precision simulation model is obtained;Based on high-precision simulation model, extract experimental difficult-to-measure area data, track global thermal deformation transmission path, generate thermal error compensation table, and guide heat dissipation structure optimization.

The invention relates to the technical field of monocrystalline silicon manufacturing, in particular to a temperature control system and method for a continuous Czochralski single crystal shoulder expanding process, and the system comprises a single crystal furnace thermal field, a feeding device, a data acquisition device and a calculation module; a heater for keeping the temperature of the thermal field is arranged in the single crystal furnace thermal field; a charging module capable of quantitatively charging according to charging parameters is arranged in the charging device; and the feeding module is used for controlling the feeding mass delta m in unit time and stabilizing the feeding speed. Compared with a traditional precondition method for fixing a cooling curve, the temperature control model is arranged, a particle silicon feeding starting node is arranged at any node in the temperature control model, heat balance compensation can be conducted on particle silicon temperature rising in the furnace and heat absorbed by phase change in real time, and the temperature of the particle silicon in the furnace can be increased at any time point of the shoulder expansion stage. In addition, in the feeding process, large temperature fluctuation can be avoided.