582 results about "Thermal fatigue" patented technology

The invention provides a dynamic method and system for thermal fatigue evaluation of integrated circuit packaging, and relates to the technical field of integrated circuits, and the method comprises the steps: employing a genetic algorithm to determine the arrangement position of a temperature sensor, and collecting a temperature data sequence of a temperature sensor array and the corresponding time information; establishing a thermal-mechanical coupling analysis model comprising a geometric model, a material constitutive relationship and a load boundary, and performing mesh generation on the thermal-mechanical coupling analysis model to obtain a finite element model; based on the finite element model, periodically solving by adopting a nonlinear iterative algorithm to obtain a welding spot stress-strain field data sequence and time information corresponding to the welding spot stress-strain field data sequence, establishing a corrected Coffin-Manson model considering a temperature-stress-time coupling effect, calculating a fatigue damage increment of the welding spot, and accumulating the fatigue damage increment in real time; and performing thermal fatigue state evaluation on the integrated circuit packaging structure according to the change rate of the accumulated fatigue damage value.

The invention discloses a method and a system for monitoring the reliability of a photovoltaic converter in a special plateau environment. The method comprises the following steps: firstly, acquiring electrical quantity, temperature quantity, environment quantity and operation quantity, filtering abnormal data, and realizing accurate alignment of multi-frequency signals in combination with a dynamic time warping algorithm; secondly, constructing a plateau sensitive feature set, and optimizing feature quality through physical consistency check and three-stage feature selection; then, an IGBT thermal fatigue equation and a capacitance aging equation are fused to establish a health index evolution model, a Bayesian physical information neural network is used for prediction, and a high-reliability confidence interval is output through Monte Carlo sampling. And finally, dynamically correcting the residual life based on the comprehensive environment factor, and triggering a hierarchical maintenance decision according to the health index state, the residual life and the confidence interval width. The service life prediction precision of the photovoltaic converter in the plateau environment is remarkably improved, the operation and maintenance cost is effectively reduced, and the equipment operation reliability is enhanced.

The invention relates to a turbine blade global temperature field reconstruction method based on a multi-modal physical constraint network, and belongs to the technical field of aero-engine thermal management. Aiming at the problems of insufficient global heat conduction path modeling, lack of physical rules and blank region differentiation perception, carrying out normalization and position coding on sparse temperature measurement points to form a Transform encoder input sequence; extracting features through an encoder and compressing the features into global feature vectors through self-attention pooling; decoding the image into a temperature field image by adopting a U-Net generator fused with jump connection; a multi-scale discriminator is constructed, a semantic weighting mechanism is introduced, and differentiated weights are distributed to cooling holes, tenons and pressure surface areas; a physical constraint loss and local energy conservation loss are constructed based on a heat conduction equation, and a weighted training model is combined with confrontation loss and temperature error loss. The method is used for providing high-precision temperature distribution data support for turbine blade structure optimization design, cooling system efficiency evaluation and thermal fatigue prevention.

The invention relates to a combustion chamber flame tube and a cooling hole distribution optimization method thereof. The combustion chamber flame tube comprises the first tube wall and the second tube wall, the cooling hole with the large first included angle is formed in the high-heat-load area, so that the large included angle is formed between the flowing direction of cooling air introduced by the cooling hole and the main flow direction, the cooling air is not prone to converging into the main flow, and the cooling air can be better attached to the wall face of the high-heat-load area; and a cooling air film with a large contact area with the inner wall of the barrel is formed, and the risk of local high-temperature ablation caused by insufficient cooling of a high-heat load area is reduced. The cooling holes with the small first included angle are adopted in the low-heat-load area, so that the included angle between the flowing direction of cooling air introduced by the cooling holes and the main flow direction is small, the cooling air is better converged with the main flow, the low-heat-load area is prevented from being overcooled, the temperature distribution of the inner wall of the flame tube is uniform, and the service life of the flame tube is prolonged. The problems of thermal fatigue and the like caused by overlarge temperature gradient are solved, and the risk of failure of the flame tube is reduced.

The invention discloses a self-correction optimization method and system for heat transfer boundary conditions of a water jacket heater, and particularly relates to the technical field of condition optimization control. The method comprises the following steps: constructing a thermal fatigue deformation trend estimation model by collecting a furnace wall surface temperature sequence, furnace wall surface heat flux distribution information and a furnace wall thermal stress response curve of a furnace body structure component, and generating a geometric parameter drift vector; performing structure equivalent mapping analysis on the geometric parameter drift vector, and extracting contact thermal resistance change information; performing furnace wall heat flow field reconstruction on the geometric parameter drift vector to obtain a dynamic correction vector; and the contact thermal resistance change information and the heat flow correction vector are comprehensively analyzed, a time-varying boundary condition inversion model is constructed, and a multi-parameter coupling boundary correction set is output and used for updating the boundary conditions in the water jacket heating furnace heat transfer simulation model, so that identification and self-adaptive correction of the boundary conditions are realized, and the heat transfer control precision and the heat efficiency are improved.

The invention relates to the technical field of digital twinning, and discloses a precision casting mold life prediction method based on digital twinning, which comprises a mold data acquisition module, a mold data processing module, a mold coefficient generation module, a prediction model establishment module and a mold life prediction module. Physical data, operation data and maintenance records are synchronously collected through the multi-source sensor, and full-life-cycle real-time monitoring is achieved; establishing comprehensive evaluation of four types of quantization coefficients, thermal fatigue coefficients, comprehensive mechanical coefficients, comprehensive wear coefficients and comprehensive maintenance coefficients to realize multi-field damage coupling analysis; the life prediction index unifies the multi-dimensional damage to be 0-1 standard, outputs a visual life percentage and sets a graded early warning threshold value, so that the prediction precision is improved; all coefficients are calculated through a standardized formula, a full-digital process from data acquisition to index generation to model prediction to decision support is constructed, and the detection requirements of new materials and complex structure molds are met.

The invention provides an LNG ship pipe fitting fatigue life modeling optimization method and system. The method comprises the steps that a fatigue life simulation model of a low-temperature pipe fitting is established; fatigue state constraint is applied to a fatigue damage structure in the fatigue life simulation model based on the load spectrum and the temperature spectrum at the monitoring node, and a damage constraint condition of the target low-temperature pipe fitting in a vibration state is obtained; determining the thermal fatigue loss of fatigue life simulation under different low-temperature thermal cycle loads according to the thermal fatigue damage and load spectrum characteristics of each connection part under different low-temperature thermal cycle loads; cost optimization is carried out on fatigue life control parameters of the fatigue life simulation model according to the damage constraint conditions and all the thermal fatigue losses, optimal cost parameters for fatigue life simulation under the thermal-vibration load working condition are obtained, and the local grid density of the fatigue life simulation model is adjusted based on the optimal cost parameters. By the adoption of the scheme, parameter cost optimization of the fatigue life simulation model of the LNG ship pipe fitting under the thermal-vibration load working condition can be achieved.

A system may comprise a neural network trained to predict mechanical damage to field-deployed industrial equipment with a main or supplementary function to transfer heat change phase, or drive / limit a reaction. The neural network may be trained using an idealized geometry. A processor may receive process input data from the equipment and may provide the data to the trained neural network. The processor may generate a prediction of mechanical damage using the trained neural network and the process input data. The process input data may comprise temperature data collected during operation. A scanning device may generate a digital twin of at least a portion of the equipment through scanning and ultrasonic testing. A monitoring module may monitor processes through a control system to collect the process input data. The neural network may comprise a convolutional neural network configured to calculate damage using a surrogate model.

The invention discloses a welding spot simulation life prediction method and system based on a random forest, and belongs to the technical field of welding spot simulation prediction, and the method comprises the steps: S1, carrying out the simulation of the thermal fatigue life of welding spots of various types of BGA chip products through CAE simulation software, collecting simulation parameters and simulation results, and constructing a CAE historical simulation database; s2, for each BGA chip category, collecting important structure parameters, material parameters and welding spot simulation life values from a CAE historical simulation database to form a data set; s3, based on the collected data set, using a random forest algorithm to construct a welding spot life prediction model; and S4, performing welding spot simulation life prediction by using the constructed welding spot life prediction model. According to the scheme, traditional CAE software simulation and machine learning are combined, so that the prediction efficiency is greatly improved while the accuracy of the prediction result of the simulation life of the welding spot is ensured.

The invention provides a thermal cycle period customized thermal fatigue test method and equipment, the equipment comprises a rotation system, a heating unit, a cooling unit, a temperature detection probe, a temperature detector and a temperature controller, the temperature controller outputs signals to control the rotation system and a temperature adjusting system, thermal and cold circulation of a workpiece is realized, and the thermal fatigue test efficiency is improved. The temperature value of the sample in the whole cycle period is obtained through signal input of the temperature detector, the temperature controller compares the temperature fed back by the temperature detector with the set temperature, then the rotating system, the cooling unit and the heating unit are regulated and controlled and optimized continuously, and fitting of temperature waveforms is achieved. According to the equipment, through cooperative work of the temperature controller, the temperature adjusting system, the temperature detector and the rotating system, temperature control and rotating control on the sample placing platform are realized, so that the thermal fatigue test requirements of the same test material under various working conditions are met.

The invention, which relates to the technical field of power transmission, discloses a high-power intelligent temperature control cable comprising a conductor, a first insulating layer, a temperature control system, an early warning system and a protective sleeve. The conductor is made of a high-conductivity material, and the conductor is coated with a first insulating layer; the temperature control system comprises a liquid cooling pipe and a plurality of temperature sensors, and cooling liquid is suitable for flowing in the liquid cooling pipe; the early warning system comprises a temperature sensing optical fiber which is distributed along the axial direction of the conductor, and the temperature sensing optical fiber is connected with a fault early warning module; the protection sleeve wraps the conductor, the temperature control system and the temperature sensing optical fiber and comprises an electromagnetic shielding layer, a mechanical protection layer and a safety protection layer. The temperature sensor and the fault early warning module are used for connecting the control unit. The operating temperature of the cable is adjusted in real time through the temperature control system, and thermal fatigue of the conductor is effectively inhibited; high-strength electromagnetic shielding, mechanical tensile strength and bending resistance are provided through the protective sleeve; and the temperature and strain states of the cable are monitored in real time through the early warning system, so that the operation safety is improved.

The invention discloses a high-frequency induction intelligent control system and a thermal fatigue test method, and belongs to the technical field of thermal fatigue tests.The method specifically comprises the steps that a to-be-tested sample piece is installed, heating parameters are set, heating is started, heating is stopped after the to-be-tested sample piece is heated to a preset temperature, and the to-be-tested sample piece is cooled until the temperature drops to a preset lower limit; in the heating and cooling process, the surface and core temperature of a to-be-detected sample piece is collected in real time, the heating-cooling step is repeatedly executed according to the preset number of cycles or to a preset damage threshold value, the temperature curve, the power curve and the cycle count of each cycle are generated, the recorded temperature curve, the power curve and the cycle count are analyzed, and the temperature of the to-be-detected sample piece is obtained. Outputting the thermal fatigue life value of the to-be-tested sample piece; the temperature is intelligently controlled through high-frequency induction, the uniformity of the temperature is ensured, the thermal fatigue life is accurately predicted through multi-dimensional life evaluation and layered modeling, and the speed, precision and reliability of thermal fatigue testing are remarkably improved.

The invention belongs to the technical field of soft floor detection, and particularly relates to quality detection equipment for wood floors, which comprises a detection main body, a size benchmarking assembly arranged on the detection main body, a thermal stability detection mechanism and an indentation recovery detection mechanism, the thermal stability detection mechanism is arranged on the detection main body, and the indentation recovery detection mechanism is arranged on the detection main body. The indentation recovery detection mechanism is arranged in the detection main body; the thermal stability detection mechanism comprises a thermal shock detection assembly, a plugging type heat switching assembly and a reciprocating driving assembly, the thermal shock detection assembly is arranged on the detection main body, the reciprocating driving assembly is arranged at the lower end of the thermal shock detection assembly, and the plugging type heat switching assembly is arranged on the reciprocating driving assembly; through the thermal stability detection mechanism, the thermal stability, thermal fatigue and thermal crack performance of the cork floor can be evaluated, so that the advantages and disadvantages of the cork floor are found, a basis is provided for improvement and optimization of the cork floor, and the quality and performance of the cork floor are improved.

The invention discloses a multi-chip CCGA packaging welding column failure risk evaluation method, and belongs to the technical field of electronic packaging and reliability analysis, and the method comprises the steps: building a finite element analysis model through obtaining the geometric and material parameters of a multi-chip CCGA packaging structure; non-uniform working conditions are set, boundary conditions and constraints are applied, and non-uniform distribution thermal stress of the welding column is obtained through thermal cycle loading analysis; key data are extracted, the fatigue life of the welding column is calculated through a Coffin-Manson thermal fatigue model, and a life matrix is determined; the welding column damage amount is calculated based on a thermal fatigue model and a linear accumulation damage theory, and a damage matrix is obtained; welding column failure is judged according to the damage matrix, and a risk level matrix is obtained. According to the method, the stress distribution and failure mechanism of the welding column under the multi-chip coupling scene can be rapidly and accurately evaluated in the design and early verification stage according to the actual working condition, and scientific support is provided for research and development of high-reliability electronic products.

The invention provides a thermal fatigue test system and method for testing thermal shock resistance of a stealth coating, and belongs to the technical field of aero-engine tests.The system comprises a switching section used for introducing main runner gas and measuring the state of the main runner gas; the exhaust section is used for exhausting gas in the main runner and cooling the gas; the test cascade comprises a test piece and a container device wrapping the test piece, the front end of the container device is connected with the switching section, the rear end of the container device is connected with the exhaust section, and the test piece is inserted into the container device; the cooling air system comprises a compressed air control system and an electric heater, the compressed air control system comprises a flowmeter, a three-way valve and an exhaust regulating valve, the flowmeter is arranged at the front end of the electric heater, the rear end of the electric heater is connected with an inlet of the three-way valve, one outlet of the three-way valve is connected to an inlet of the test piece, and the other outlet is connected with the exhaust regulating valve for exhausting; and the test and data acquisition system comprises a temperature measuring instrument, a pressure scanning valve and kingview software.

The invention relates to thermal fatigue resistant ceramic and a production process thereof, and belongs to the technical field of ceramic material preparation, the thermal fatigue resistant ceramic comprises the following raw materials by mass: 90-100 parts of a base material, 5-10 parts of a flexibilizer, 1-3 parts of a sintering aid and 1-3 parts of an additive; wherein the base material is obtained by mixing calcium carbonate, talc, aluminum oxide, kaolin and a nano zirconium oxide precursor according to the mass ratio of (0.75-1.25): (2-3): (80-85): (3-4): (3-4). The base material in the thermal fatigue-resistant ceramic selects the aluminum oxide as a main component, and the aluminum oxide has extremely high melting point and hardness and excellent chemical stability, so that the ceramic can keep stable physical and chemical properties in a high-temperature environment, and the thermal fatigue resistance of the ceramic is remarkably enhanced.

The present application relates to the field of fatigue testing, and in particular to a method and device for thermal fatigue assessment of safety hook rigging based on artificial intelligence; the method comprises: obtaining current monitoring data of the hook rigging to be assessed; obtaining a thermal fatigue prediction result of the hook rigging to be assessed through a thermal fatigue prediction model according to the current monitoring data; wherein the thermal fatigue prediction model is obtained by training with historical monitoring data and fatigue test data on sample hook rigging; the historical monitoring data is the state data of the sample hook rigging during actual use; the fatigue test data is the state data obtained by fatigue testing the sample hook rigging; the thermal fatigue prediction result indicates the degree of thermal fatigue of the hook rigging to be assessed; the present application can solve the technical problem existing in the prior art of lacking a method for determining the thermal fatigue state of the hook rigging.

The invention discloses a thermal fatigue life prediction method of a solid oxide fuel cell electrode plate, and belongs to the technical field of fuel cells. According to the method, a full-size SOFC electrode plate finite element model is established, an electrode plate preparation process is simulated, and an electrode plate residual stress distribution field is obtained; a finite element model of the full-size SOFC electric pile unit is also established, a circulating heat temperature field is applied based on the obtained residual stress distribution field of the electrode plate for numerical simulation, and the evolution rule of the thermal stress of the electrode plate in the electric pile unit under the start-stop circulating working condition is obtained; meanwhile, an electrode plate thermal fatigue damage prediction model is constructed, the evolution rule of the damage coefficient of the electrode plate along with the number of thermal cycles is calculated according to the obtained evolution rule of the thermal stress of the electrode plate, and the thermal fatigue life of the electrode plate is predicted. According to the method, the thermal fatigue life of the electrode plate is predicted, and a theoretical reference can be provided for the design of a galvanic pile and preventive maintenance in an operation process, so that long-term stable operation of the galvanic pile is ensured.

The invention discloses a heat dissipation substrate and a preparation method and application thereof, and belongs to the technical field of heat dissipation plates. The heat dissipation substrate comprises a first copper layer, a first brazing layer, a first TiC layer, a diamond sheet layer, a second TiC layer, a second brazing layer and a second copper layer which are sequentially arranged in a stacked mode. And a groove for placing a chip is formed in the surface of one side, far away from the diamond sheet layer, of the first copper layer. The heat dissipation substrate is good in heat conductivity, high in heat dissipation efficiency, small in thermal stress between the layers and good in binding force. The preparation method is simple in process, controllable in cost and suitable for industrial production. The vehicle-mounted SiC chip packaging heat dissipation plate comprising the heat dissipation substrate can efficiently dissipate heat under the working conditions of high heat flux, high temperature, high pressure and high frequency, and can effectively prevent the chip from beforehand failure caused by thermal stress and thermal fatigue, thereby ensuring higher reliability and longer service life; and the requirements of high-power and high-current-density new energy automobiles can be met.

A system may comprise a neural network trained to predict mechanical damage to field-deployed industrial equipment with a main or supplementary function to transfer heat change phase, or drive / limit a reaction. The neural network may be trained using an idealized geometry. A processor may receive process input data from the equipment and may provide the data to the trained neural network. The processor may generate a prediction of mechanical damage using the trained neural network and the process input data. The process input data may comprise temperature data collected during operation. A scanning device may generate a digital twin of at least a portion of the equipment through scanning and ultrasonic testing. A monitoring module may monitor processes through a control system to collect the process input data. The neural network may comprise a convolutional neural network configured to calculate damage using a surrogate model.

The invention discloses a high-strength photovoltaic welding flux for a photovoltaic welding strip and a preparation method of the high-strength photovoltaic welding flux, and belongs to the technical field of energy conservation and environmental protection. According to the solder, the Sn-Zn-Bi alloy is used as a matrix, and the performance is comprehensively improved by introducing a dual nano reinforced phase of the multi-walled carbon nanotubes and the nano nickel particles. The preparation method comprises the steps of matrix alloy melting, a hydrothermal method, a liquid phase reduction method, ultrasonic dispersion, gas atomization powder preparation, silane coupling agent surface modification, scaling powder compounding, reflow soldering and the like. The obtained solder has excellent comprehensive performance, excellent thermal fatigue resistance and long-term reliability. The welding flux is suitable for interconnection welding of a main grid, a fine grid and a welding strip of a crystalline silicon photovoltaic cell, and provides technical guarantee for the service life of a photovoltaic module more than 25 years.

The invention belongs to the field of artificial intelligence and energy power system cross control, and particularly relates to a coal-fired unit fused salt combined frequency modulation control method and device based on deep reinforcement learning. According to the method, a deep reinforcement learning agent model is constructed, and boiler fuel quantity, steam turbine valve position, fused salt heat charging and discharging power and pump starting and stopping signals are dynamically output based on state space vectors; and tracking precision, thermal stress, emission and coal consumption indexes are fused through a multi-target reward function, and strategy autonomous optimization is realized by adopting a double-Q network, experience playback and target network delay updating mechanism. After deployment, the boiler, the steam turbine and the molten salt unit can be coordinated on line, power space-time decoupling and closed-loop cooperation are achieved, on the premise that main steam parameter stability and equipment safety are guaranteed, the frequency modulation response speed and precision are remarkably improved, the thermal fatigue risk is reduced, and the unit economy and the power grid adaptability are enhanced. And a flexible adaptive adjustment capability is provided for a high-proportion new energy power system.

The invention discloses a material with a silver coating for low-temperature brazing of brazing filler metal, and particularly relates to the field of brazing welding, which comprises the following steps: silver amalgam paste is prepared by oscillating and mixing silver powder and mercury according to the mass ratio of 1: 9-0.5: 9.5 in a manner and method for plating silver on the surface of base metal (metal, semiconductor, ceramic or glass); when brazing is carried out, the surface of the silver plating layer of the to-be-welded piece is coated with brazing filler metal, and then heating and pressurizing are carried out in a low-temperature interval of 120-350 DEG C in a vacuum, protective atmosphere or atmospheric environment to complete connection. According to the method, the amalgam reaction and isothermal solidification principles are utilized, a tough welding spot mainly comprising a silver-based solid solution is finally formed, generation of a large number of brittle intermetallic compounds is avoided, a connector has high strength, high reliability and excellent thermal fatigue resistance, and therefore the problems that gold-tin brazing filler metal is high in cost, the brittleness of the welding spot is large, and the welding temperature is high are successfully solved.

The invention discloses special hot work die steel for large-scale integrated die casting and a preparation method of the special hot work die steel, and belongs to the technical field of hot work die steel. The steel comprises the following chemical components in percentage by mass: 0.28%-0.35% of C, 0.01%-0.025% of La, 0.01%-0.02% of Ce, 0.4%-0.45% of Mn, 0.1%-0.2% of Si, 4.5%-5.5% of Cr, 1.50%-2.00% of W, 2.2%-2.8% of Mo, 0.8%-1.2% of V, 1.0%-1.5% of Co, 0.1%-0.3% of Nb and the balance of Fe and impurities (S and P are less than or equal to 0.015%). The preparation method comprises the composite processes of vacuum induction melting and electroslag remelting purification, hydrogen firing high-temperature homogenization and three-upsetting and three-drawing multi-directional forging, spheroidizing annealing and subzero treatment, step quenching and double tempering, multi-element co-permeation, supersonic particle bombardment surface nanocrystallization and plasma boriding. The rare earth element La / Ce refined grain boundary is combined with multi-element alloy strengthening and surface nanocrystallization-boronizing synergistic treatment, so that the hardness, impact toughness and thermal fatigue life of the die steel are remarkably improved, and the die steel is suitable for high-temperature, high-pressure and high-wear working conditions of a large integrated die-casting die.

The invention discloses an H13 steel mold intelligent temperature control and thermal fatigue prediction cooperation system and a use method thereof, and relates to the field of steel molds, the H13 steel mold intelligent temperature control and thermal fatigue prediction cooperation system comprises an intelligent temperature control subsystem, a thermal fatigue prediction subsystem, a data processing and storage module, a fault diagnosis module, a data interaction and cooperation module and a user management and authority module. According to the invention, the intelligent temperature control subsystem utilizes dual-controller redundancy and dynamic strategy adjustment to realize high-precision dynamic temperature control, the thermal fatigue prediction subsystem is fused with a multi-scale model and an LSTM neural network to realize high-precision prediction, and the data processing module supports efficient noise reduction and cross-domain data conversion. The fault diagnosis module constructs a multi-level threshold detection and intelligent response system, the data interaction module realizes multi-protocol compatibility and full-process collaboration, and the user management module ensures system safety and global adaptation, so that the temperature control precision, the thermal fatigue prediction reliability and the production collaboration efficiency of the mold are integrally improved, the maintenance cost is reduced, and the service life of the mold is prolonged.

The invention provides a preparation method and application of ceramic slurry for high-temperature bonding of aluminum nitride ceramics, and relates to the technical field of high-temperature ceramic materials.The preparation method comprises the following steps that firstly, an organic carrier is prepared, a polymer binder, an organic solvent, a plasticizer and a dispersing agent are weighed according to the weight ratio and stirred at the temperature of 60-70 DEG C till complete dissolution and clarification are achieved for use; 2, an inorganic functional phase is prepared, aluminum nitride powder, yttrium oxide powder and alkaline earth metal oxide powder are weighed according to the weight proportion and placed in a ball milling tank to be evenly mixed, the obtained ceramic slurry serves as a bonding layer, the tolerable temperature can reach 1000 DEG C or above and is far higher than that of metal brazing filler metal, and the ceramic slurry is suitable for severe environments such as aerospace and high-temperature sensors. The main components of the bonding layer are consistent with the base material, and the thermal expansion coefficient is highly matched, so that the thermal stress can be greatly relieved, and the failure of the device caused by thermal fatigue in the temperature cycle is avoided.

The invention provides a preparation method of a metal surface hard welding layer, and belongs to the technical field of metal material surface treatment. The modified tungsten-cobalt carbide is used for preparing the hard alloy, the nickel-based alloy powder and the metal ceramic particles are used together, the composite hard welding layer is obtained on the surface of the steel part base material, the hardness of the welding layer is effectively improved, meanwhile, the abrasion condition of the welding layer in use is reduced, and a thermal fatigue test can be effectively borne; and good wear resistance and high temperature resistance are obtained.

The invention discloses a thermal fatigue testing device for a turbine guide vane. The thermal fatigue testing device comprises a base; the heating module comprises a profiling wire of which the shape is matched with the cross section of the to-be-tested piece and a power supply for driving the profiling wire to generate an induction heating magnetic field through alternating current; the axis height of the annular track is aligned with that of the profiling wire, and the annular track surrounds the periphery of the profiling wire; at least one independent temperature control module, each independent temperature control module is movably arranged on the annular track, and the local temperature of the to-be-tested piece is controlled by adjusting the magnetic field intensity of the corresponding section on the profiling wire through magnetic shielding; and at least one temperature detection module, wherein each temperature detection module is used for collecting temperature distribution data in real time. Through multi-area independent temperature control, non-uniform temperature gradient loading of the front edge area, the middle section area and the tail edge area of the turbine guide blade is achieved, and the thermal stress field of the blade under the real engine working condition is accurately simulated.

A thermal fatigue experiment device for a high-temperature alloy pipe comprises a supporting table and a sliding table arranged on the supporting table, one end of the sliding table is connected with a servo motor, and the other end of the sliding table is provided with an induction coil; an air cooler and a low-temperature temperature measuring gun are arranged on the lower side of the sliding table and on the supporting table; a high-temperature temperature measuring gun is arranged on the lower side of the induction coil and on the supporting table, an induction heating power supply is arranged on the lower side of the high-temperature temperature measuring gun and on the supporting table, and the induction coil is connected with the induction heating power supply through a connecting rod, so that the induction coil is located on the supporting table; the induction coil is adopted for heating, the heating speed is high, and the actual working condition heating process is better met; by setting parameters such as the highest temperature, the lowest temperature, the heating speed, the heat preservation time and the sample feeding speed, automatic heating-heat preservation-cooling reciprocating circulation of the pipe can be achieved.

The invention discloses a turbine outer ring connecting structure and a thermal matching test device and method thereof, and belongs to the technical field of aero-engine tests.The turbine outer ring connecting structure comprises a turbine outer ring assembly, and the turbine outer ring assembly comprises a turbine outer ring and a metal casing connecting assembly; the metal casing connecting assembly comprises a metal casing and a connecting piece, a first connecting hole is formed in the outer wall of the metal casing, and the connecting piece is used for connecting and fastening the turbine outer ring and the metal casing; a plurality of displacement measuring holes are formed in the outer wall of the metal casing at intervals, and the displacement measuring holes are used for being matched with preset marks on the turbine outer ring so as to observe and measure the displacement deformation quantity of the turbine outer ring relative to the metal casing. The turbine outer ring is an integral CMC turbine outer ring, the turbine outer ring connecting structure is an integral ring type assembly structure, modular installation can be achieved, and the thermal matching test device can achieve a thermal fatigue test of heating-cooling load circulation alternation of the CMC outer ring.