8538 results about "Thermal dilatation" patented technology

The invention relates to the technical field of electronic manufacturing equipment, in particular to an adaptive thermal compensation system and method for a high-precision mounting head of a chip mounter, and the system comprises a temperature-deformation sensing unit, a thermal-mechanical coupling analysis unit, a dynamic compensation control unit, and a closed-loop execution unit. The temperature-deformation sensing unit collects temperature and deformation data of multiple parts of the mounting head in real time, the thermal-mechanical coupling analysis unit reconstructs a three-dimensional temperature field based on a finite element algorithm, the thermal expansion distribution quantity is dynamically calculated, the problem of rough model of traditional single-point temperature measurement is solved, and the measurement precision is improved. The dynamic compensation control unit predicts the thermal drift amount in the future 5 ms through online parameter identification and a long-short-term memory network model, a compensation strategy is adaptively adjusted in combination with the motion working condition, the closed-loop execution unit decomposes the compensation amount into displacement and torsion correction instructions, accurate offset of thermal deformation is achieved, and a whole-process thermal compensation closed loop is constructed. The precision stability of the mounting head in a complex thermal environment is improved, and the production efficiency is improved.

The invention provides an aluminum alloy auxiliary frame welding accurate positioning and quality control method and system. The method comprises the steps that S4, welding gun track control parameters are updated through a dynamic adjustment instruction, laser tracking data are fused to optimize the welding path angle in real time, and the accurate movement track of each section of welding seam is determined; s5, acquiring real-time thermal expansion data during welding execution, monitoring temperature field distribution of a welding seam area by adopting an optical measurement technology, and judging whether thermal deformation adjustment exceeds a preset threshold value or not; s7, micron-sized welding spot positioning operation is executed according to the stable positioning state, the dynamic path optimization result is fused to generate a final welding instruction, and consistent welding seam quality data is output; and S8, after weld joint quality data are obtained, weld joint deviation and geometric consistency are detected through a laser tracking technology, whether welding quality meets design requirements or not is judged, and a quality verification report is generated. According to the method, the precision and consistency of intelligent welding of the aluminum alloy auxiliary frame are remarkably improved.

The invention belongs to the field of equipment coupling monitoring, and particularly relates to a dynamic coupling compensation method for thermal expansion and axial displacement, which comprises the following steps of: calculating a first characteristic value for representing reference dynamic offset of a sensor based on a three-dimensional thermal-structure coupling model by acquiring a thermal expansion parameter and axial displacement parameter sequence of a casing; calculating a second characteristic value representing the real position change of the rotor in combination with a rotor-casing axial thermodynamic model, establishing a piecewise coupling function considering a nonlinear effect, working condition self-adaption and cross interference, and eliminating the mechanical thermal inertia and measurement system lag influence through a dynamic delay compensation mechanism; an accurate axial displacement measurement total error compensation index is generated, and grading compensation actions are intelligently triggered according to error grades; the problem of measurement distortion caused by dynamic coupling of thermal expansion and axial displacement is effectively solved, and the accuracy and reliability of state monitoring of the rotating machine are remarkably improved.

An airfoil having: a composition gradient defining a first coefficient of thermal expansion and a second coefficient of thermal expansion that differs from the first coefficient of thermal expansion; and a thermoelectric junction operationally coupled to the composition gradient, wherein the composition gradient is formed of either of a plurality of dissimilar metals or of plastic with fillings or fibers.

The invention provides a road slope data monitoring method under a complex geological condition, and relates to the technical field of road slope monitoring, and the method comprises the steps: carrying out the temperature compensation of a change rate, analyzing the thermal expansion characteristic of a material, calculating the deformation caused by the temperature change, correcting the monitored side length, and generating a temperature compensation side length; according to the temperature compensation side length and the surrounding rock rheological equation, correcting the two adjacent side lengths through the strain difference of the adjacent sides so as to obtain the final side length; combining the final side length with the reference interior angle to generate a topological structure; based on the topological structure, constructing a three-dimensional deformation index matrix containing a diagonal displacement difference, an adjacent side curvature ratio and an interior angle variation coefficient; and inputting the index matrix, the support structure strain space-time matrix and the rock mass fragmentation tensor into a space-time attention graph neural network together, and outputting a deformation evolution trend including a diagonal displacement difference, an adjacent side curvature ratio and an interior angle variation coefficient. According to the invention, high-precision real-time monitoring can be realized.

The invention relates to the technical field of aluminum alloy cold stamping quality control, in particular to a multi-source data fusion and real-time optimization-based cold stamping quality control method, which comprises the following steps of: inputting a fusion feature space into a pre-trained LSTM (Long Short Term Memory) model, and associating a real-time stamping speed with a dwell time parameter through an attention mechanism; combined prediction of springback value deviation and defect probability is realized for the first time, a process parameter correction value is dynamically generated based on a prediction result, and a thermal expansion compensation algorithm and micron-sized mold compensation are combined, so that the quality regulation response speed reaches a millisecond level, the compensation precision is improved to + / -2 [mu] m, and the error is reduced by more than 50% compared with that of traditional PID (Proportion Integration Differentiation) control.

The invention relates to the field of numerical control machining, discloses a numerical control machining method and system integrating thermal expansion dynamic compensation, and aims to solve the problem that precision is out of control due to thermal deformation in high-speed cutting of motorcycle light alloy castings. The method comprises the steps that distributed temperature and displacement sensors are arranged in a key area of a workpiece, and a temperature field and thermal expansion amount are collected in real time; constructing a local thermal deformation prediction model based on a material expansion coefficient and a geometric structure, and correcting a tool path in real time through a coordinate system dynamic offset algorithm; and an on-line measurement feedback mechanism is introduced, and model parameters are adaptively optimized, so that closed-loop compensation is realized. The system comprises a sensing module, a thermal deformation modeling and compensation calculation module, a coordinate dynamic correction module, an online measurement feedback module and a parameter adaptive updating module. Through millisecond-level dynamic compensation and closed-loop self-optimization, the size precision and form and position stability of the complex thin-wall part under the high-temperature working condition are remarkably improved, the rejection rate and cooling energy consumption are reduced, and the method is suitable for a high-precision batch machining scene.

The invention relates to the technical field of material testing, and discloses a coating performance simulation method based on high and low temperature circulation and prestress loading. The method comprises the following steps: constructing a coating matrix composite geometric model containing a microporous structure by acquiring actually measured working condition data of a pipeline or a part, and quantifying surface roughness and interface curvature characteristics in combination with reverse engineering; a dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of a high-pressure medium, a micropore optical load is converted into equivalent heat flux density through a ray tracing algorithm, transient boundary conditions of a temperature field and a stress field are associated, a crack initiation path is simulated through an extended finite element method, and a life attenuation curve is predicted in combination with a Paris formula. And material parameters are dynamically corrected based on experimental data, and a multi-parameter collaborative optimization model is generated. According to the method, the problems of interface stress evaluation distortion and life prediction deviation under the combined load are solved, and multi-physics field co-simulation support is provided for coating compression resistance optimization.

The invention provides a bridge structure monitoring method and device based on a microwave deformation radar, and relates to the technical field of bridge structure monitoring, and the method comprises the steps: obtaining the multi-point three-dimensional displacement data of a bridge structure through the microwave deformation radar, carrying out the thermal expansion pseudo displacement compensation and multi-point space smoothing through combining with temperature information, and obtaining a displacement field after environment correction; secondly, extracting a vertical component and separating the vertical component into a static deformation component and a dynamic vibration component by adopting variational mode decomposition; further analyzing and identifying a decoupling region through a time window coherence coefficient, performing recursive quantitative analysis, bispectrum analysis and energy distribution entropy calculation on a dynamic signal of the region, and constructing a high-order damage sensitive feature set; and finally, the dynamic characteristics and the static curvature change are fused to form a comprehensive degradation degree index, the deviation degree is judged according to working condition classification and the mahalanobis distance, and multi-dimensional and cross-working-condition degradation identification and risk early warning of the bridge structure are achieved.

The invention relates to the technical field of production line control, and discloses an intelligent control method and system for production line mold machining. According to the method, a pressure distribution state is determined by obtaining initial cutting parameters of a cutter and surface pressure data of a mold, mold node stress distribution is calculated by utilizing a three-dimensional finite element model, and a stress concentration position is identified. And predicting a mold deformation trend through a linear regression model according to the thermal expansion coefficient and the environment temperature data. Meanwhile, the initial cutting parameters are optimized by combining a cutting parameter optimization objective function, and the objective function comprehensively considers factors of tool wear, surface quality and residual stress. And on the basis of a die deformation prediction result, a dynamic compensation algorithm is adopted to adjust supporting structure parameters and optimize cutting parameters, and finally optimal cutting parameters and a target tool path are generated. According to the method, precise coordination control over pressure distribution and mold deformation under the complex working condition is achieved, the residual deformation risk is reduced, and the mold machining precision is improved.

The invention relates to the technical field of numerical control, in particular to a control method and system of numerical control equipment and a medium. The method comprises the following steps: collecting workpiece surface temperature distribution data and obtaining a workpiece CAD model; importing the workpiece surface temperature distribution data into a workpiece CAD model for internal temperature conduction inversion to obtain a first workpiece internal temperature distribution diagram; identifying a non-key area of the workpiece; performing a pre-cutting test on the non-key area of the workpiece to collect the temperature in the cutting process; performing nonlinear thermal expansion modeling on the workpiece based on the cutting process temperature to obtain a workpiece thermal expansion characteristic model; and an internal temperature distribution diagram of the second workpiece is obtained, and the internal temperature distribution diagram of the second workpiece represents the initial thermal state of the workpiece before formal machining. The numerical control machining precision and the cooling system efficiency are improved, the machining cost and resource consumption are reduced, and the machining adaptability, flexibility and stability are enhanced.

The invention discloses an intelligent cleaning and feature extraction system and method for multi-modal industrial data, and relates to the technical field of equipment state monitoring. The method is used for solving the problems that multi-source heterogeneous signal time alignment is not accurate, fault features are easily covered by background noise, a causal chain is not clear under working condition changes, and feature stability is poor. Firstly, a matching window is dynamically adjusted based on the main vibration frequency of rotating equipment, temperature signal delay is calculated in combination with a material thermal expansion coefficient, and modal alignment is achieved; then, a fault sensitive frequency band is solved through a bearing pedestal kinetic equation, a frequency band protection window is constructed, frequency domain filtering and gradient truncation operation are executed, and microcrack high-frequency features are extracted; secondly, recognizing a fault propagation path by combining image definition and envelope spectrum kurtosis, and dynamically shrinking a frequency domain window bandwidth according to a real-time load; finally, the feature vector is reconstructed to a phase space, when the curvature change rate or the temperature drift exceeds the limit, parameter updating and frequency band readjustment feedback are triggered, and the stability and adaptability of the system are improved.

Embodiments of the present disclosure generally relate to an electrostatic chuck assembly suitable for use in cryogenic applications. In one or more embodiments, an electrostatic chuck assembly is provided and includes an electrostatic chuck having a substrate supporting surface opposite a bottom surface, a cooling plate having a top surface, where the cooling plate contains an aluminum alloy having a coefficient of thermal expansion (CTE) of less than 22 ppm / ° C., and a bonding layer securing the bottom surface of the electrostatic chuck and the top surface of the cooling plate.

The invention relates to the field of industrial pipeline systems, in particular to a displacement analysis evaluation and compensation method for optimizing pipeline thermal expansion. The method comprises the following steps: collecting multi-temperature thermal state snapshots to form a thermal state change sequence; determining a thermal expansion constraint boundary according to the thermal state change sequence, and forming boundary condition data; fixed points and free points of the pipeline system are identified according to the boundary condition data, and a degree-of-freedom distribution diagram is constructed; based on the degree-of-freedom distribution diagram, analyzing a displacement transfer relation of each pipe section, and generating displacement transfer chain data; identifying a thermal expansion concentrated release area through displacement transfer chain data, and performing node resonance detection to form vibration risk assessment data; and designing a thermal stress digestion path based on vibration risk assessment data, and setting flexible constraints to form a balanced stress network. The thermal expansion displacement transmission path is tracked in real time through displacement transmission chain analysis, the resonance frequency is synchronously recognized in combination with vibration mode detection, and dynamic association of the thermal expansion process and the vibration mode is achieved.

The invention relates to the technical field of material simulation models, and particularly discloses a finite element analysis and thermal expansion mismatch effect-based comprehensive simulation model construction method, which comprises the following steps of performing geometric model construction on a target material; constructing a geometric model: adopting modeling software to create the geometric model of the target material, and obtaining a thermal mismatch target area interface; parameter data of a target material are obtained for assignment, and then a target material grid is preprocessed; performing boundary condition constraint on the geometric model of the target material, and applying a temperature load; establishing a thermal stress corresponding mechanism for the geometric model of the target material, calculating to obtain thermal stress values of the unit grids, and converting the thermal stress value on each unit grid into a cloud picture in a color manner based on the thermal stress values of the unit grids to obtain a thermal expansion mismatch effect comprehensive simulation model; the quantitative analysis capability of the thermal stress difference of multiple materials is realized; potential stress concentration areas caused by thermal expansion mismatch can be identified.

The invention relates to a stacking packaging method and system for AI-DSP mixed audio processing chips, and the method comprises the following steps: employing a first bonding machine to carry out the flip-chip bonding of an AI chip and a DSP chip, and obtaining a flip-chip bonding chip; the flip-chip bonding chips are interconnected, and an interconnected chip structure is obtained; vertically stacking the interconnected chip structures to obtain a stacked chip structure; packaging the stacked chip structure by adopting a second bonding machine to obtain a packaging body; according to the AI-DSP mixed audio processing chip and the packaging method thereof, the packaging body is subjected to heat dissipation treatment through the preset heat dissipation substrate, the packaged AI-DSP mixed audio processing chip is obtained, and the technical problems that in a traditional packaging scheme, an AI chip and a DSP chip generally adopt different process nodes and manufacturing processes, and thermal expansion coefficients are not matched and stress distribution is uneven during direct integration are solved.

The invention relates to the technical field of steel truss assembly precision control, and discloses a large-space steel truss assembly construction precision control method based on a real-time monitoring technology. According to the method, through a sensing technology and a data processing system, steel truss supporting node coordinates, strain force and material temperature data are collected in real time and transmitted to a data processing center through a wireless network to be subjected to low-pass filtering and stress and thermal expansion calculation, and therefore it is ensured that the material state meets the assembling standard; error calculation and precision evaluation in the process not only can timely discover and correct deviation, but also can feed back to the assembling and adjusting equipment through intelligent signals to realize automatic precision control, and compared with traditional manual measurement, the method has the advantages that the influence of environmental factors on measurement accuracy is greatly reduced, the limitation of static measurement is overcome, and the measurement accuracy is improved. And real-time monitoring and correction capabilities are provided, so that structural deformation and safety risks are reduced, and the overall construction quality and safety of the steel truss are ensured.

The invention relates to the technical field of preparation of a ceramic silica gel composite belt for a power battery of a new energy automobile, in particular to a super-high-temperature-resistant and impact-resistant ceramic silica gel composite belt for an automobile and a preparation method of the super-high-temperature-resistant and impact-resistant ceramic silica gel composite belt. The phase change toughening effect of the core-shell structure filler is generally utilized to generate pressure stress, inhibit crack propagation and improve fracture toughness through volume change during phase change, meanwhile, the core-shell structure filler is subjected to thermal expansion coefficient gradient structure design, interface stress in the core-shell structure filler at high temperature is relieved, thermal stress concentration is avoided, thermal shock resistance is improved, and the service life of the core-shell structure filler is prolonged. And the ceramic layer is prevented from cracking, so that the ceramic layer has good high-temperature resistance and flame retardance, flame spreading can be effectively prevented, and thermal runaway of the power battery is prevented.

The invention belongs to the technical field of semiconductors, and particularly relates to a gradient transition composite tantalum carbide coating and a preparation method thereof.The gradient transition composite tantalum carbide coating is located on the surface of a graphite substrate material and sequentially comprises a pyrolytic carbon coating, a tantalum carbide-pyrolytic carbon composite coating and a tantalum carbide coating from inside to outside; wherein the thermal expansion coefficient of the pyrolytic carbon coating is 2.5-4.5 * 10 <-6 > / K, the thermal expansion coefficient of the composite coating is 4.5-6.0 * 10 <-6 > / K, and the thermal expansion coefficient of the tantalum carbide coating is 6.1-8.0 * 10 <-6 > / K. According to the gradient transition structure of the coating, the problem that thermal expansion coefficients between the coating and a base body are not matched is solved, the thermal shock resistance of the coating is effectively improved, meanwhile, the pinning effect can be achieved, the adhesive force between the coatings is enhanced, and the service life of a product is prolonged; compared with a single tantalum carbide coating, crack accumulation and through holes cannot be generated.

The invention discloses a method for preparing a heat-expanding epoxy foam with electromagnetic shielding properties. In the process of processing the heat-expanding epoxy foam with epoxy resin as a substrate, before curing and foaming treatment, a conductive filler with heat-expanding microspheres grafted on the surface is added to the system. After the processing is completed, the heat-expanding epoxy foam with electromagnetic shielding properties is obtained; the minimum foaming temperature of the heat-expanding microspheres is 110-120°C, and the maximum foaming temperature is 140-150°C; the temperature of the curing and foaming treatment is 15-25°C higher than the minimum foaming temperature of the heat-expanding microspheres; during the curing and foaming treatment, the viscosity of the epoxy resin is less than 1Pa·s. The method of the invention solves the problem that the conductive filler is difficult to disperse in the resin matrix innovatively by introducing heat-expanding microspheres on the surface of the conductive filler. The obtained heat-expanding epoxy foam with electromagnetic shielding properties has good electromagnetic shielding performance and high use value and economic benefits.

The invention discloses a low-loss resin composition, which is prepared from the following main components in parts by weight: 10 to 90 parts of acenaphthylene-p-vinylbiphenyl copolymer, 10 to 70 parts of cross-linking agent, 20 to 60 parts of elastomer, 0.1 to 3 parts of initiator and 10 to 90 parts of filler. The acenaphthylene-p-vinylbiphenyl copolymer is obtained by pre-polymerizing acenaphthylene and divinylbiphenyl, the acenaphthylene monomer residue is less, the acenaphthylene monomer is difficult to volatilize in a resin system, implosion caused by too fast curing reaction of the resin system is prevented while good reaction activity is maintained, and a subsequent curing product is high in crosslinking density and good in heat resistance; a machining window is wide, and subsequent production and machining are facilitated; and an acenaphthylene structure has high symmetry and rigidity and does not contain elements such as oxygen, sulfur and nitrogen, so that the resin composition has excellent dielectric properties and thermal properties and a low thermal expansion coefficient, and an elastomer as a cross-linking curing matrix material can provide the characteristics of low dielectric constant, low dielectric loss, low water absorption and the like.

The invention relates to the technical field of intelligent regulation and control of fusion data, in particular to a rolled finished product-based size precision intelligent regulation and control system and method, which comprises a data acquisition unit, a data fusion unit, a deep learning prediction unit and a compensation execution unit, multi-source data such as temperature gradient, roll gap fluctuation and tension spectrum are collected in real time through a sensor array, thermal expansion compensation correction is carried out through a data fusion unit based on a rolling elasticoplastic deformation equation, an anti-interference coupling feature vector is generated by using adaptive Kalman filtering, and a deep learning prediction unit is used for predicting the rolling elasticoplastic deformation through a dual-channel space-time convolutional network. The thickness error and the width error are predicted by combining the constraint of a rolling force balance equation, the compensation execution unit dynamically generates the roll gap adjusting amount and the rolling force compensation amount according to a three-level response mechanism, phase lag compensation current is injected to suppress resonance, the high-end steel yield and the rolling precision are improved, and the rolling quality is improved. And an intelligent closed-loop control scheme is provided for high-precision rolling under complex working conditions.

The rolling device comprises a heat conduction roller and a temperature control mechanism, and the heat conduction roller is provided with an axial end face located at the end and a radial surface located on the circumferential side; the temperature control mechanism is arranged outside the heat conduction roller and located in the axial direction and / or the radial direction of the heat conduction roller, and the temperature control mechanism is used for heating or cooling the axial end face and / or the radial surface of the heat conduction roller. The temperature control mechanism can adjust the temperature of the local deformation area of the heat conduction roller in a targeted manner, so that the surface of the heat conduction roller generates temperature change, and the temperature change can enable the heat conduction roller to generate deformation resisting deflection and thermal expansion due to thermal expansion and cold contraction, so that the problem that the thickness of the local area of a pole piece is thinned due to excessive approaching of the heat conduction roller is solved; therefore, the thickness uniformity of the rolled pole piece is improved. The thickness uniformity of the rolled pole piece is improved.

The invention discloses a method for simulating a mold temperature field and curing deformation through finite elements and a mold optimization design method based on the method. The finite element analogue simulation method comprises the following steps: firstly, modeling and simulating a mold grid; secondly, calculating equivalent thermal and mechanical parameters of the composite material by adopting a multi-scale homogenization method; then, a heat conduction model of the mold and the composite material blade is constructed and coupled with the curing dynamic model through temperature, and mold temperature distribution is simulated; and finally, establishing a mold thermal expansion and curing stress coupling model, and predicting thermal deformation and stress change of the mold. By identifying the weak area of the mold in the simulation process, the mold is optimally designed. By improving a mold temperature field distribution simulation method, optimizing a grid modeling process and introducing an accurate calculation method of equivalent material parameters, the precision of mold design and the controllability of a curing process are effectively improved, so that the problem of inaccurate mold temperature field distribution and curing deformation prediction is solved.

The invention relates to the technical field of electronic information materials, in particular to a metal foil with a carrier, a metal-clad laminated board and a circuit board. The invention discloses a metal foil with a carrier, a metal-clad laminated board and a circuit board, the metal foil with the carrier is characterized in that the metal foil with the carrier comprises a carrier layer and a functional layer, the functional layer is arranged on one side face of the carrier layer, and the functional layer is arranged on the other side face of the carrier layer. And the ratio of the thermal expansion coefficient a of the functional layer to the thermal expansion coefficient b of the carrier layer satisfies 40% < = a / b < = 120%. The thermal expansion coefficient ratio of the carrier layer to the functional layer of the metal foil with the carrier is in a proper range, so that the stripping stability of the metal foil with the carrier during use can be improved, and the processing efficiency is improved.

According to the intelligent radiator welding method and system based on welding residual stress control, temperature field data of a welding area are obtained through a sensor array, a temperature gradient mapping image is generated, residual stress distribution is determined through heat-structure coupling finite element analysis, and a thermal expansion coefficient and a welding speed parameter are extracted; when the deviation exceeds a deviation threshold value, the heat input power and the welding speed are adjusted, parameter combination is optimized, heat input distribution is redistributed, new temperature field distribution is generated by adopting a power segmentation adjustment algorithm, residual stress relief data are extracted, and if the stress reduction rate is insufficient, the welding speed is adjusted; if yes, cooling parameters are adjusted for thermal stress release, through finite element iteration fed back in real time, a process correction scheme is generated, full-process simulation verification is conducted, and the fatigue life and the thermal conductivity index are obtained. Accurate control over the residual stress in the welding process is achieved, and the intelligent welding quality and the structural stability are improved.

The invention discloses a preparation method of a nickel-based tungsten carbide laser cladding wear-resistant gradient coating, which comprises the following steps: step 1, preparing mixed powder of a transition layer, a functional layer and a repair layer; step 2, pretreating a matrix: removing oxide skin on the surface of the matrix, polishing to be smooth, and preheating the matrix to 350-500 DEG C; step 3, sequentially preparing a first functional layer, a transition layer, a second functional layer and a repair layer by adopting a laser cladding process; and 4, coating post-treatment is conducted, specifically, the surface of the repairing layer is polished to the specified thickness, and the defect-free wear-resistant gradient coating is formed. Through gradient component layered design, the functional layer adopts high tungsten carbide content to maximize wear resistance, and the transition layer relieves thermal expansion difference between the coating and a matrix, reduces interface stress and reduces crack initiation; according to the repairing layer, micro-cracks and air holes generated in the cladding process are filled through low-hardness nickel-based components, and the compactness and surface integrity of the coating are remarkably improved.

The embodiment of the invention discloses an epoxy molding compound, an epoxy molding film and an electronic component, the epoxy molding compound comprises epoxy resin and a zeolite imidazole framework material, and the zeolite imidazole framework material comprises imidazole ligands and metal ions. The zeolite imidazole framework material is used as a curing agent and a nano reinforced phase, imidazole groups on the surface of the zeolite imidazole framework material can be subjected to a ring-opening reaction with epoxy resin to form covalent bonds, the zeolite imidazole framework material can induce the epoxy resin to generate a microcrack deflection mechanism, and the zeolite imidazole framework material can promote curing of the epoxy resin, so that the epoxy resin is cured, and the curing effect is improved. Therefore, the thermal expansion coefficient of the epoxy molding compound is reduced, the fracture toughness of the epoxy resin is improved, and the thermal stability of the epoxy molding compound is improved.

The invention relates to the technical field of liquid cooling, and discloses a cooling liquid distribution assembly for a heat dissipation plate and the heat dissipation plate, the cooling liquid distribution assembly for the heat dissipation plate comprises a heat dissipation fan, a liquid cooling pump and a cooling liquid distribution assembly for the heat dissipation plate, the cooling liquid distribution assembly for the heat dissipation plate comprises a plurality of distribution assemblies, and a pipe frame and an air bin are arranged on the upper portion and the lower portion in each distribution assembly respectively; heat is exchanged with the heat exchange pipe, so that the heat is conducted into the air bin through the temperature guide columns above the temperature guide pieces, expansion gas in the air bin is heated and expanded, then the corrugated air bag is promoted to expand to push the extrusion roller to slide on the inclined guide rail, and the corrugated air bag is reset by the reset spring when contracting. At the moment, the sliding position of the extrusion roller can be shrunk along with expansion of the corrugated air bag, then the extrusion degree of the elastic rubber pipe is changed, the flow of cooling liquid passing through the elastic rubber pipe is adjusted, on the basis that the equipment cost is not increased, it is ensured that heat can be evenly dissipated out of equipment, cooling liquid is automatically distributed for cooling plates with different heat, and the cooling effect is improved. And the heat dissipation is uniform.

The invention relates to the technical field of high-voltage PCB design, and particularly provides a large-model-based high-voltage PCB current path optimization design method and system, and the method comprises the steps: S2, obtaining current distribution according to electrical parameters and layout information through employing an electrical simulation model; s3, acquiring temperature field distribution according to the current distribution, the resistivity of the via hole array and the heat conductivity coefficient of the PCB substrate; s4, acquiring first thermal mechanical stress distribution according to the temperature field distribution, the thermal expansion coefficients of the via hole array and the PCB substrate and the elastic modulus of the via hole array and the PCB substrate; s5, analyzing whether the first thermal mechanical stress distribution meets a preset requirement or not, if yes, taking new layout information as final layout information, and if not, adjusting layout parameters of the via hole array according to the first thermal mechanical stress distribution, and returning to the step S2; according to the method, the problems of local hot spots and thermal mechanical stress caused by uneven current distribution in the high-voltage PCB via hole array can be solved.