796 results about "Thermocouple" patented technology

The invention relates to the technical field of wire performance detection, and discloses a wire high temperature resistance detection method, device and equipment and a storage medium. The method comprises the following steps: arranging micro thermocouple array sensors on the surface, the bending part and the connecting point of an outer insulating layer of a to-be-measured wire rod to obtain a wire rod temperature monitoring network; placing the to-be-tested wire rod in a constant-temperature box to execute a high-temperature cyclic loading test, and collecting real-time temperature response data of the to-be-tested wire rod; carrying out temperature gradient analysis and heat distribution characteristic calculation to obtain a temperature change characteristic parameter set; executing temperature fluctuation compensation and thermal stress accumulation calculation to obtain thermal stress characteristic parameters; and carrying out aging characteristic analysis on the wire insulating material through the thermal stress attenuation network model to obtain wire predicted life and failure probability distribution of the to-be-tested wire in a high-temperature environment. The method can comprehensively capture the temperature change characteristics of each part of the wire rod, and achieves the precise prediction of the failure probability of the wire rod under different temperature conditions.

The invention provides a boiler combustion state visualization method, which comprises the steps of embedding a plurality of thermocouple temperature sensors in gaps of refractory bricks on the inner wall of a boiler hearth, acquiring temperature data of the hearth at different depths in real time, and transmitting the temperature data to a data acquisition terminal through a wireless communication module; fitting the normalized temperature data matrix by adopting a three-dimensional thin-plate spline interpolation algorithm to generate a hearth three-dimensional real-time temperature distribution model, performing mesh generation on the three-dimensional temperature distribution model by combining hearth geometric structure parameters obtained from computer aided design software, and constructing a hearth temperature finite element model; the hearth temperature finite element model is imported into ANSYS finite element analysis software, hearth wall surface material attributes and combustion heat load boundary condition parameters are set, transient thermal analysis of a hearth temperature field is carried out, and a temperature estimation value of any position of the hearth changing along with time is obtained.

The invention discloses a thermal control instrument fault self-diagnosis system based on multi-source data fusion, and relates to the technical field of prediction and health management. The thermal control instrument fault self-diagnosis system based on multi-source data fusion comprises the following steps: a data collection and arrangement module used for collecting thermal control state data in real time and preprocessing the thermal control state data; the feature construction and extraction module is used for performing thermal deviation anomaly judgment on the preprocessed thermal control state data; the state intelligent evaluation module is used for performing temperature trend comparison on the thermal control state data after the thermal deviation abnormity judgment; the diagnosis linkage control module is used for fusing thermal deviation abnormity judgment and a temperature trend comparison result to execute control and participate in adjustment; and the result displaying and filing module is used for sorting and recording the measuring point diagnosis result and the processing state. The problems that false alarm is caused by wall temperature thermocouple signal drifting and abrupt change, fusion analysis of adjacent measuring points and operation states is lacked, and real overheating and instrument faults are difficult to distinguish are 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 relates to the technical field of task scheduling, in particular to a task scheduling optimization system for a smelting process, which comprises a furnace temperature identification module, a hot load analysis module, a load screening module, a sorting regulation and control module and a task joint control module. According to the method, a stable operation section is screened based on thermocouple time sequence temperature difference fluctuation characteristics, task identification is ensured to be in tight fit with a real metallurgical process state, furnace profile thermal parameters and raw material attributes are introduced to dynamically estimate task thermal loads, and the heat adaptation relation between tasks and equipment is determined; safety load interval limitation is set in the screening task and furnace body combination process, the safety and matching precision of resource allocation are improved, meanwhile, cooling period limitation is embedded in task sorting to recognize delay tasks, scheduling continuity and task connection reasonability are enhanced, the capacity of a scheduling strategy for responding to actual operation constraints is improved, and the service life of the scheduling strategy is prolonged. The overall optimization of accurate task screening, reasonable load distribution and ordered scheduling sequence is realized.

The invention provides an oilless air compressor bearing temperature alarm method and device, and the method comprises the steps: collecting the temperature rise rate, heat flow density and environment parameter data under different working conditions through a miniature thermocouple array in a sealing structure, and obtaining a heat flow characteristic data set; calculating temperature gradient change between adjacent measuring points based on the data set, analyzing a heat accumulation trend by combining geometric characteristics of the sealing structure and thermal physical parameters of a material, and generating a three-dimensional hot spot distribution diagram and heat accumulation rate data; according to the hot spot distribution diagram and the heat accumulation rate data, a sealing structure and bearing system heat path network model is constructed, and the monitoring point position of the potential heat abnormal area of the bearing is determined; and according to the monitoring point arrangement scheme, a temperature monitoring device is installed in a potential heat abnormal area of the bearing, temperature data are collected, heat distribution change characteristics are extracted, and an abnormal heat flow mode in the sealing structure is recognized. The method can accurately capture a bearing local heat abnormal area caused by a sealing structure, and prevents early failure of the bearing caused by a hot spot blind area.

The invention provides an inclined variable-angle aircraft interstage separation ground test device. The inclined variable-angle aircraft interstage separation ground test device comprises an aircraft separation device, an angle adjusting device, a temperature control and acquisition device, a vibration control and impact acquisition device, an ignition control device and a device base. The angle adjusting device comprises a device side plate, an arc groove, an angle ruler, a separation mechanism mounting plate, a supporting hinge, a supporting rod, an adjusting sliding rail, an adjusting base, a locking device, a device base gradienter, a rotating bearing and an auxiliary fixing block. The temperature control device comprises a quartz lamp array heating cage, an outer wall temperature control thermocouple and an inner wall temperature acquisition thermocouple, and can simulate a pneumatic heating environment at a separation moment, so that the thermal deformation matching capability of the separation mechanism in a high-temperature environment and the operation reliability of the separation mechanism are obtained. The vibration control and impact acquisition device is composed of a vibration table, a vibration control sensor and an impact sensor.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-voltage environment-friendly gas insulation switch cabinet temperature field modeling method, which comprises the following steps: constructing a three-dimensional geometric model of a switch cabinet and carrying out simplification processing; the COMSOL multi-physics field simulation software is imported; electromagnetic-thermal bidirectional coupling modeling is carried out; adding a surface-to-surface radiation physical field; determining a fluid flow state based on a Glassu number, and selecting a corresponding fluid dynamic model; environment conditions are set, and radiant heat exchange power and a convective heat exchange coefficient are calculated; establishing a grid division strategy based on temperature contribution to obtain a simulation model of preliminary modeling; solving and post-processing a solving result, and analyzing hot spot distribution by using a temperature distribution diagram; a thermocouple is installed in a hot spot area in an actual switch cabinet, actual temperature data are obtained through measurement, and the simulation model subjected to preliminary modeling is corrected according to the actual temperature data. The temperature rise condition can be accurately predicted, and a powerful guarantee is provided for safe operation of equipment.

The present invention relates to measuring temperature (t) using a thermocouple (30), with a first measurement point (33) along a positive conductor (31), and a second measurement point (34) along a negative conductor (32). The arrangement is configured to obtain a Seebeck coefficient(S) for the material pair; and to measure a first temperature (t1) in the cold end of the thermocouple (30) at a first measurement point (33); and to measure a second temperature (t2) at a second measurement point (34). Thermal voltages (U1, U2) are measured. The arrangement further calculates a weighted average of the temperature (Tave) by dividing a temperature difference of the first (t1) and second (t2) temperatures with a ratio N=U1 / U2; and calculates temperature (t) in the hot end of the thermocouple (30) based on the obtained Seebeck coefficient(S) for the material pair and the calculated weighted average of the temperature (Tave).

The invention discloses a test coil heat treatment system and process, and the system comprises a vertical gas furnace which is used for accommodating and heating a test coil; the crucible is arranged in the vertical gas furnace and is used for directly carrying out heat treatment on the test coil; the argon protection control system is connected with the vertical gas furnace and the built-in crucible, provides high-purity argon to replace gas, maintains micro-charging and micro-discharging in the heat treatment process, and controls the temperature in the vertical gas furnace so as to meet the heat treatment of the coil; the argon supply system is used for supplying argon to the vertical gas furnace and the built-in crucible; and the monitoring and control system is used for monitoring and controlling the temperature, the pressure and the flow in the heat treatment process in real time. The temperature control system and the thermocouple are used in cooperation, accurate temperature control over the coil in different stages can be achieved, the heat treatment quality is improved, the argon protection system provides a stable protection atmosphere for the coil through the preheating coil and the flow control valve, oxidation and impurity pollution are effectively prevented, and the corrosion resistance and the electrical performance of the coil are improved.

The invention discloses an industrial silicon smelting process prediction method and system based on data analysis, and relates to the technical field of industrial silicon smelting management and control. The physical structure of the smelting furnace is analyzed, thermocouple nodes are positioned in the virtual three-dimensional model to serve as temperature mapping points, and a spatial topological relation is established; historical smelting data are collected, temperature monitoring parameters and process operation parameters are aligned according to time nodes, and a time-space associated smelting parameter set is constructed; generating a three-dimensional temperature performance state based on the temperature mapping point data, and classifying the temperature performance state through temperature change curve fitting and heat conduction correlation analysis; the current process parameters are matched with the reference historical process operation parameter sequence library in real time, and a three-dimensional temperature field prediction result corresponding to the optimal historical parameter group is output; according to the method, the problems of low efficiency and large error of traditional manual analysis are effectively solved, and reliable technical support is provided for intelligent control of industrial silicon smelting.

The invention discloses a distributed SCR (Selective Catalytic Reduction) denitration system and an accurate ammonia spraying control method thereof, and relates to the field of flue gas removal. According to the method, a first collection point, a second collection point and a third collection point are arranged in the distributed SCR denitration system; a thermocouple array, a differential pressure sensor and a flow velocity sensor are respectively arranged at a top airflow inlet, a middle catalyst channel area and a bottom smoke outlet of the catalyst module, so that a disturbance acquisition system covering multiple areas of the tower body is formed, and gas temperature original data, differential pressure original data and flow velocity fluctuation original data are acquired. Feature extraction and normalization preprocessing are carried out on original disturbance data in a control platform to form a standardized disturbance ammonia spraying vector set, so that layered disturbance field perception and ammonia spraying fine control support are realized on the structural level, ammonia spraying configuration redundancy or insufficiency caused by local information loss is avoided, the ammonia water utilization efficiency of each module is improved, and the system performance is improved. And the ammonia spraying accuracy of the whole tower is improved.

The invention discloses an energy conservation and emission reduction system for an annealing furnace, which relates to the technical field of heat treatment, and comprises a target fitting module for performing parameter matching and fitting on a multi-dimensional environment feature vector and an annealing process constraint parameter set to form a heat treatment target function, and performing optimization solution to obtain a target temperature control interval; the control strategy module is used for carrying out multi-target control strategy calculation on the phase change temperature control window information through a heat treatment target function to obtain a dynamic temperature control path in a temperature rise stage; and the execution regulation and control module is used for controlling an annealing furnace heating execution mechanism according to the dynamic temperature control path, adjusting fuel gas input, an air proportion and a flow rate, adopting infrared thermal imaging and a distributed thermocouple to jointly measure the temperature of a temperature zone, obtaining temperature deviation data, carrying out constant-temperature heat preservation and self-adaptive cooling, and generating a multi-section cooling control instruction. Key requirements such as the heating rate, the heat preservation time and the structure property are fully considered, the control precision and the energy efficiency utilization rate of the annealing process are effectively improved, and the energy-saving and emission-reducing effects are remarkable.

The invention discloses a boiler SNCR denitration control method and system capable of automatically adjusting ammonia injection, and relates to the technical field of boiler denitration, the system comprises a reducing agent supply unit, a multi-stage injection unit, a temperature monitoring network, a flue gas analysis monitoring module and a control unit; the reducing agent supply unit consists of a urea solution storage tank, a high-pressure conveying module and a parallel filtering branch; the multi-stage spraying unit comprises a plurality of layers of atomizing spray gun arrays; the temperature monitoring network is provided with a plurality of groups of thermoelectric couples; by means of the control system and the control method, the temperature of flue gas in the boiler can be monitored in real time, opening and closing of the atomization spray gun are controlled through the control system according to the temperature of the flue gas, accurate matching of the ammonia spraying amount is achieved, the denitration efficiency condition is monitored in real time, waste of urea solution consumption is avoided, and the denitration raw material cost is reduced; automatic ammonia spraying adjustment of the boiler SNCR denitration system is achieved, and the situation that the operation cost is increased due to over-spraying of a urea solution is avoided.

The invention relates to the technical field of boiler temperature measurement, and discloses a boiler furnace temperature field measurement system based on multi-sensor fusion. According to a temperature acquisition module of the system, a plurality of groups of infrared temperature measurement sensors and thermocouple sensors are arranged in preset space grids of a boiler hearth, and real-time temperature data of each space grid are synchronously acquired; the data fusion module performs time alignment and space registration on the acquired data to generate a space-time synchronous original temperature data set; the noise suppression module performs multi-scale decomposition on an original data set based on wavelet transform, extracts a high-frequency noise component and performs adaptive filtering, and outputs a temperature data sequence after noise reduction; the temperature field reconstruction module reconstructs a hearth three-dimensional temperature field distribution model through a radial basis function interpolation algorithm according to the denoised data sequence; and the dynamic compensation module calculates the heat conduction lag compensation amount of the temperature field distribution model according to the flowing speed of the flue gas in the hearth and the working condition parameters of the combustor, and generates a compensated dynamic temperature field model.

The invention relates to the technical field of welding of heat energy equipment, in particular to a welding process of miniaturized ultrahigh-temperature heat energy equipment, which comprises the following steps: S1, preparing semi-V-shaped welding grooves for base metal on two sides of a joint by adopting a pipe beveling machine, polishing the grooves and the surface of the base metal, cleaning by using an organic compound, and assembling the to-be-welded joint in a butt joint manner; s2, welding a butt welding seam of the coil pipe and the water cooling wall by adopting manual argon tungsten-arc welding; s3, a thermocouple is fixed to any side of the weld joint, the hot end of the thermocouple is tightly attached to the base metal, the cold end of the thermocouple is connected with a temperature control box, and the interlayer temperature of the weld joint is monitored in real time; s4, when the interlayer temperature is larger than the first temperature, welding is stopped, after a first time interval, a compressed air pipe is used for being matched with an air gun to cool a welding seam and the circumferential direction, and when the layer temperature of the welding seam is reduced to the second temperature, a steel wire brush is used for cleaning the welding seam; and S5, after welding is completed, a welded joint is inspected. The welding device has the beneficial effect that the welding quality and the welding efficiency can be improved.

The utility model relates to the cable production and detection field, and discloses a hand-held thermodetector used for cable on-line temperature detection, side frames are arranged behind the left side and the right side of a machine body housing, a supporting shaft is installed on the rear side of each side frame, a cable stabilizing wheel is rotatably installed at the rear end of each supporting shaft, an installation seat is installed on the front side of the machine body housing, and a cable is installed on the installation seat. A traditional thermocouple structure is changed into a wire-coil-shaped structure, the machine body shell is designed to be of a handheld structure, and therefore the temperature measuring device is convenient to carry, wire stabilizing wheels are arranged on the left side and the right side of the machine body shell, the top ends of outer rings of the wire stabilizing wheels are located below the top end of a contact disc, and therefore the temperature measuring device is convenient to carry. And the size of the space between the wire stabilizing wheel and the temperature measuring head can be changed as required, so that the outer ring of the core wire can be directly attached to the temperature measuring head, the outer ring and the temperature measuring head are in direct contact, the temperature measuring accuracy is improved, the temperature of the core wire at any part can be detected at any time, and the working efficiency is improved.

The invention relates to the technical field of intelligent maintenance of heating pipelines, and particularly discloses a heating pipeline residual life prediction and maintenance method based on deep reinforcement learning. Aiming at the problems of limited static modeling, rigid maintenance strategy and insufficient economical efficiency of a traditional life prediction method, a multi-source data fusion and dynamic decision optimization scheme is provided. According to the technical scheme, the method comprises the following steps: deploying an acoustic emission sensor, a thermocouple, a pressure transmitter and an electrochemical probe at key nodes of a pipeline, and collecting real-time data of temperature, pressure and corrosion rate; time sequence statistical characteristics are extracted through a sliding window, and a time-space degradation mode is captured in combination with a CNN-LSTM network; and constructing a deep reinforcement learning model, defining a state space containing real-time sensing data, a residual life prediction value and a historical maintenance record, and designing an action space and a reward function to realize multi-objective optimization of cost, reliability and life benefit. A maintenance strategy is simulated on a digital twin platform, and a long-term optimal decision is generated by combining Monte Carlo tree search.

The invention discloses a temperature control method, an annealing furnace temperature control system, a computer storage medium and a program product, the temperature control method is applied to an annealing furnace, a plurality of process sections are arranged in the annealing furnace, each process section comprises a plurality of control areas, and each control area is provided with a thermocouple; a pyrometer is arranged at the outlet of each process section; the temperature control method comprises the steps that it is determined that the movement speed of strip steel is decreased and exceeds a set speed threshold value within set time; the actual strip steel temperature, measured by each pyrometer, of the outlet of the corresponding process section is obtained; increasing and decreasing the target temperature of each control area according to the actual temperature of the strip steel and the target temperature of the strip steel at the outlet of each process section; acquiring the actual temperature of the control area measured by the thermocouple; and correcting the actual temperature of the control area according to the actual temperature of the control area and the corresponding target temperature of the control area. Abnormal rise of the furnace temperature caused by rapid speed reduction of the strip steel can be avoided, so that the influence on the production quality of the strip steel is reduced.

The utility model discloses a regeneration device for a supported noble metal catalyst, which comprises a catalyst washing tank, a liquid outlet pipe, a stirring component, a feeding pipe, a nitrogen feeding pipe and a conveying pipe are respectively mounted on the catalyst washing tank, and a vacuumizer is mounted on the nitrogen feeding pipe; the regeneration reactor is arranged on the lower side of the catalyst washing tank, a feeding pipe and a discharging pipe are installed on the regeneration reactor, the periphery of the regeneration reactor is sleeved with a first heater, and a plurality of temperature measuring thermocouples are installed on the outer wall of the regeneration reactor; the nitrogen purging reactor is connected with a nitrogen conveying pipe, the feeding pipe and the nitrogen conveying pipe are combined and then are communicated with the feeding pipe, and a second heater is mounted on the nitrogen conveying pipe; the controller is connected with the stirring assembly, the vacuumizer, the regeneration reactor, the first heater and the second heater in a wireless or wired mode and controls the stirring assembly, the vacuumizer, the regeneration reactor, the first heater and the second heater, and the temperature measuring thermocouple is connected with the controller for data interaction.

The invention discloses a laser additive manufacturing system and method for in-situ self-adaptive regulation and control of the component shape through a temperature field and an airflow field. The laser additive manufacturing system comprises a sealed protection cavity, a master control unit, a temperature field monitoring-control unit and an airflow field monitoring-control unit. The temperature field monitoring-control unit comprises an infrared thermometer, a thermocouple temperature measuring element and an induction heating coil; and the airflow field monitoring-control unit comprises a protective gas pipeline, an electromagnetic flow regulating valve, an oxygen content monitor and a vacuum air filter. The master control unit comprises a temperature field control module and an airflow field control module. The master control unit conducts in-situ self-adaptive regulation and control on the temperature field of laser additive manufacturing through the temperature field control module, distribution of the temperature field in the whole process of additive manufacturing is improved, the temperature gradient of a molten pool in the laser additive manufacturing process is reduced, the forming defect is improved, and the material performance is improved.

The invention provides a cladding lithium lead heat source loop intermittent temperature maintaining system and a control method, and belongs to the field of fusion reactor temperature control systems, and the cladding lithium lead heat source loop intermittent temperature maintaining system comprises a cladding lithium lead heat source inlet and outlet branch, a lithium lead heat source utilization branch, a heating branch and a control loop; the lithium-lead heat source utilization branch and the heating branch are connected in parallel to an outlet of a lithium-lead heat source lower connecting pipe of the cladding lithium-lead heat source inlet and outlet branch; the heating branch comprises a third valve, an electric heater and a second pump which are connected in sequence; an outlet of the second pump is respectively connected to the first valve on the cladding lithium lead heat source inlet and outlet branch and the second valve on the lithium lead heat source utilization branch; and the control loop comprises a plurality of thermocouples and a flow meter, and is used for monitoring the temperature and the flow of each position for cooperatively realizing the intermittent temperature maintenance of the cladding lithium lead heat source loop and controlling the start and stop or the opening degree of the first valve, the second valve, the third valve, the electric heater and the second pump. The solidification risk of the lithium-lead medium is overcome, and the safety of the system is improved.

The present invention provides a method for diagnosing the faults of a board card based on the weighted sum of squares of the sensor signal residual sequence, which relates to the technical field of fault diagnosis of electronic controllers. The method includes: obtaining the original temperature process signals of each temperature sensor from a gas turbine electronic controller system, performing data preprocessing to form an original data set; inputting the original data set into a calculation model for the weighted sum of squares of the residual sequence; selecting the weighted sum of squares of all sensors associated with the IO board card and inputting it into a calculation model for the health degree of the IO board card to obtain the health degree value of the board card; calculating the difference between the health degree value of the board card and the boundary line of the preset normal range, and judging whether the board card has a fault according to the difference. This method can quickly diagnose the fault state of a thermocouple IO board card in an engineering manner, provide an engineering-applicable means for timely identifying the faults of the IO board card of an electronic controller, and provide important support for the fault diagnosis of the control system loop of a gas turbine.

The invention discloses a cold-drawn seamless steel tube online heat treatment temperature control method which comprises the following steps: randomly selecting one cold-drawn steel tube, uniformly attaching a plurality of thermocouple temperature sensors to the outer surface of the cold-drawn steel tube, then integrally entering a heat treatment furnace, uniformly distributing a plurality of heat treatment units in the heat treatment furnace, and automatically adjusting the temperature of each heat treatment unit; the average section temperature of the cold-drawn steel pipe below each heat treatment unit is obtained by setting a fitting function, the average section temperature is compared with the set rated temperature, and the cold-drawn steel pipe of each section is compensated in a classified compensation and cyclic compensation mode, so that the final temperature of the cold-drawn steel pipe is infinitely close to the rated temperature; therefore, the temperature of the whole cold-drawn steel pipe is balanced. According to the method, the whole cold-drawn steel pipe can be subjected to uniform heat treatment, so that the heat treatment quality is improved.

The invention relates to the technical field of stress and temperature testing devices, in particular to an energy storage cylinder thick wall stress and temperature testing device for compressing air, which comprises an air tank, a support frame and a control system, the output of the air tank is connected with a first pipeline, and a second pipeline is arranged outside the support frame; a gas booster pump is arranged between the first pipeline and the second pipeline, the input end of the gas booster pump is fixedly connected with the first pipeline, the output end of the gas booster pump is fixedly connected with the second pipeline, one end of the second pipeline is fixedly connected with a sealing cover, and multiple sets of connecting bolts are arranged in the sealing cover in a penetrating mode; a thick-wall cylinder is arranged on the supporting frame, a plurality of sets of strain gauges and thermocouples are installed at the end of the thick-wall cylinder, stress and temperature detection is conducted through the strain gauges and the thermocouples, and through arrangement of the control system, stress and inflation flow can be monitored and controlled cooperatively at the same time.

A combined extrusion method for preparing high-performance grain-refined magnesium alloy comprises the following steps that a mold is cleaned, and a molybdenum disulfide solid lubricant is evenly sprayed to an extrusion channel to reduce friction force; the tightening mold is tightly wrapped with refractory cotton after being placed at a proper extrusion position of a workbench; induction heating plates are placed on the two sides of the mold, a thermocouple is placed in an extrusion channel for temperature measurement, and heat preservation is conducted for 30 min after heating is conducted to the experimental temperature; polishing the sample to remove an oxide layer, and then uniformly spraying a MoS2 solid lubricant; putting into a muffle furnace, heating to 300-350 DEG C along with the furnace, and preserving heat for 15 minutes; coordinating the heat preservation time of the sample and the mold; after the heat preservation time is finished, the heating and temperature measuring equipment is moved away, and the sample is put into an extrusion channel and extruded at the speed of 2-4 mm / s; after extrusion is finished, the sample and the mold are air-cooled together at the original position of a workbench; after cooling to room temperature, opening the mold and taking out the sample. The tensile strength, the ductility and the product of strength and elongation of the sample extruded by the method are 298.02 MPa, 23.42% and 6.98 GPa% respectively, and the performance of the magnesium alloy is greatly enhanced.

The invention belongs to the field of metal high-temperature performance testing, and relates to a metal material high-temperature tensile testing device and testing method. The device comprises a synchronous control box, the synchronous control box is respectively connected with the electromagnetic valve, the universal testing machine, the infrared thermal imager and the three-dimensional digital image related equipment; the constant current source is respectively connected with the upper and lower parts of the high-temperature clamp; the high-temperature clamp is mounted in the universal testing machine and comprises an upper clamping part and a lower clamping part which are used for clamping a metal sample; the cooling pipeline is connected with the air compressor, and the electromagnetic valve is mounted on the cooling pipeline connected with the air compressor; during testing, speckles are sprayed on one surface, facing three-dimensional digital image related equipment, of a metal sample, and the metal sample is clamped in the middle of a high-temperature clamp; one end of the thermocouple is welded on the surface without speckles of the metal sample, and the other end of the thermocouple is connected to the constant current source and is connected to the synchronous control box. The problems that when a high-temperature extensometer is used for measuring sample deformation, the measuring range is insufficient, damage is prone to occurring, and additional interference is introduced are solved.

The invention provides a vehicle-mounted diesel oil tank with a heating and heat preservation device. The vehicle-mounted diesel oil tank comprises a diesel oil tank body, an electric heating rod attached seat, a heat exchange sheet assembly, an oil outlet attached seat, a thermocouple attached seat, an oil filling port screw plug seat, an electric heating plate, an electric heating film, an oil outlet heating rod, an electric heating rod, a thermocouple temperature sensor, an oil outlet rotating joint and a breathing type oil filling port cover. Based on the temperature monitored by the thermocouple temperature sensor and the working state of the vehicle, the vehicle-mounted diesel tank with the heating and heat preservation device achieves heating and heat preservation of diesel oil by controlling different gear electric heating modes so as to guarantee normal cold starting of a vehicle engine and running of fuel oil supply under the working condition of extremely low temperature. The cold-start small oil tank is suitable for being connected with a main oil tank in series (or in parallel) under the extremely-low-temperature working condition of a vehicle in a cold region; or the oil tank is independently used as a vehicle heating pot oil tank to guarantee that a heat source is provided after the vehicle heating pot is started.

The invention relates to the technical field of microfluidics, in particular to a carbon quantum dot hydrothermal synthesis system and method based on microfluidics thermal field equilibrium, which comprises a thermal field sensing module, an equilibrium analysis module, a thermal field coupling module, an equilibrium regulation and control module and a closed loop execution module, the thermal field sensing module is used for collecting array temperature on the surface of the micro-fluidic chip and fluid pressure data in a flow channel, and reconstructing three-dimensional temperature distribution in the micro-channel through a multi-physics field coupling algorithm to obtain a real-time thermal field state matrix. According to the invention, by constructing a multi-physical field coupling algorithm of a thermocouple array-flow resistance model-conjugate heat transfer equation, the three-dimensional temperature distribution of the fluid in the micro-channel can be inverted and reconstructed by using surface temperature and pressure data, so that a control system can pass through a chip matrix, and the temperature of the fluid in the micro-channel can be controlled. The radial temperature gradient and the axial thermal distortion in the fluid are directly sensed, the hysteresis and the error of sensor measurement are eliminated, and a real physical basis is provided for accurate temperature control.

The invention discloses a high-thrust vibration table double-layer driving coil temperature detection method and system, and the method comprises the steps: arranging thermocouple temperature sensors at different positions of an inner layer and an outer layer of a double-layer driving coil, collecting the temperature data of each point in real time, and comparing the temperature change slopes of each position on the inner layer driving coil and a starting point position; and respectively estimating the temperature of each position on the inner-layer driving coil by adopting a fitting function of the fixed slope and the variable slope. On the basis, the difference between the temperature performance of the inner layer and the temperature performance of the outer layer is further judged through the temperature of a water outlet in the outer-layer driving coil, differential correction is conducted on the temperature distribution situation of the outer layer according to the difference situation of the inner layer and the outer layer, and temperature distribution of the outer-layer driving coil is obtained by combining the temperature distribution situation of the inner-layer driving coil. The device is simple in structure, the temperature change condition of the double-layer driving coil of the high-thrust vibrating table can be comprehensively and accurately detected online in real time, the operation state of the moving coil of the high-thrust vibrating table is effectively mastered, and the service life of the moving coil of the vibrating table is prolonged.