201303 results about "Mechanics" patented technology

The invention relates to the technical field of fan blade fatigue damage prediction. The invention provides a fan blade fatigue damage prediction method and system. The method comprises the following steps: constructing a coupling finite element model based on blade anisotropy parameters; blade surface three-dimensional strain field data, blade vibration acceleration signals, environment temperature and humidity and wind speed and direction data are obtained in real time, and a multi-dimensional monitoring data set is constructed; based on the multi-dimensional monitoring data set, nonlinear coupling features of all the load components are extracted, a multi-dimensional feature tensor is obtained, and a reference stress field matched with the current working condition is generated; inputting the multi-dimensional feature tensor and the reference stress field into a bidirectional long-short-term memory network, and establishing a data-physics combined driven damage evolution model; and positioning a damage area based on a damage probability distribution diagram output by the damage evolution model. The problems that in the prior art, prediction errors are obvious, sensitivity to early damage is insufficient, the false alarm rate is high, and accurate positioning of the damage position and quantitative prediction of the residual life are difficult to achieve are solved.

The invention provides a fan system multi-physics field coupling simulation and modeling method and device, and the method comprises the steps: building a coupling simulation frame of an electromagnetic field, a temperature field, a flow field and a structural mechanical field through multi-physics field collaborative modeling, employing a finite volume method FVM and multi-body dynamics MBS for collaborative solving, and precisely simulating the dynamic response of a fan under a complex working condition. And real-time simulation and verification: combining an S CADA system and a machine learning algorithm to realize online calibration and dynamic verification of a multi-physics field model, and supporting fan structure stability prediction under extreme conditions of typhoon, turbulence and the like. A multi-physics field coupling simulation software environment is developed, the functions of wake effect analysis, fan array layout optimization and the like are provided, the construction cost of an offshore wind field is reduced, and the power generation efficiency is improved.

The invention relates to the technical field of material fatigue performance testing, in particular to a fatigue acceleration detection method and system for a high-fatigue-resistance cast wheel, and the method comprises the steps: generating a dynamic load spectrum containing a multi-axis combined load according to the actual operation condition of a target cast wheel; applying a dynamic load spectrum to the target casting wheel to perform an acceleration test, and monitoring dynamic strain responses on the surface and inside of the target casting wheel in real time based on the distributed sensing array; establishing a damage accumulation calculation model by taking a loading parameter of the dynamic load spectrum as an additional correlation condition, and calculating an equivalent fatigue damage accumulation value based on the dynamic strain response; when the equivalent fatigue damage accumulated value reaches a preset damage threshold value, it is judged that the target cast wheel reaches the fatigue life end point, and the damage evolution rule in the acceleration test is kept consistent with the damage mechanism of the actual operation working condition. According to the invention, the problems of multi-axis load simulation distortion, incomplete damage monitoring, low service life prediction precision and the like in traditional fatigue detection are effectively solved.

The invention discloses a pepper freezing temperature gradient dynamic adjusting method and system, particularly relates to the technical field of industrial freezing temperature control, and is used for solving the problem of temperature gradient misalignment caused by the fact that a static model does not sense dynamic changes of material thermodynamic parameters in real time in an existing freezing control method. Temperature distribution and gas flow rate data in the freezing process are collected in real time, a high-confidence-coefficient data subset of a low-flow-rate area is screened based on spatial correlation, the dynamic heat conduction coefficient of the material is identified online through a recursive algorithm, and the dynamic heat conduction coefficient of the material is identified through a double-threshold-value judgment mechanism of the energy release rate and the phase lag angle. Performing segmentation fitting to generate a stable parameter sequence; further dynamically adjusting a preset temperature gradient model through a nonlinear correction strategy to generate a self-adaptive gradient control curve, and finally driving heat exchange rate adjustment to realize closed-loop tracking of the actual temperature gradient on a target curve; the freezing uniformity and energy efficiency of the high-moisture material are remarkably improved, and the control precision caused by thermal response mismatch is improved.

An apparatus that includes a catheter and multiple shock wave discharge points positioned within a balloon along the catheter between proximal and distal ends of the catheter, wherein the distal end extends distally beyond the balloon. An electronic controller includes software and is operably coupled to control firing and production of shock waves at each shock wave discharge point of the multiple shock wave discharge points.

The invention relates to the technical field of welding deformation control, and discloses a multi-stage adjusting method and system for steel structure welding deformation control. The method comprises the steps that steel member parameters are measured, a welding deformation prediction model is established, and pre-deformation data are obtained; performing accurate pre-deformation processing according to the data; executing segmented welding and recording a temperature field and a deformation amount; performing local heat treatment on the high-stress area to obtain stress distribution; correcting a deformation area by using multi-point force; and performing precision detection and quality evaluation according to the corrected data to form a control file. According to the method, high-precision control over welding deformation of the complex steel structure is achieved through data transmission and feedback adjustment of all stages.

A batch feeding-based multi-stage screening device for granular materials, comprising a housing (1). A quantification assembly (2) is installed at the top of the housing (1), a dust removal assembly (3) is installed outside the housing (1), and an anti-blocking assembly (6) is installed inside the housing (1); the dust removal assembly (3) comprises a mounting plate (305) and a fixed column (304); the mounting plate (305) and the fixed column (304) are both fixedly connected to the outside of the housing (1), a rack plate (306) is slidably connected to the outer surface of the mounting plate (305), a movable rod (311) is fixedly connected to the bottom end of the rack plate (306), a rubber piston (312) is fixedly connected to the bottom end of the movable rod (311), and a filter box (301) is fixedly connected to the outside of the housing (1). A large amount of dust on the surface of rice grains can be adsorbed, filtered and removed by means of the dust removal assembly, thereby improving the quality of rice.

The invention discloses a radiator salt spray corrosion life prediction method based on dynamic time warping, which belongs to the technical field of material corrosion test and life prediction, and comprises the following steps: collecting time sequence data of surface impedance and thermal resistance change of a radiator, constructing a dual-channel corrosion characteristic data set, and recording a salt spray concentration data value. The temperature data value and the humidity data value are combined, and an environment sensitivity weight vector is established. Accelerated corrosion in a salt spray environment is simulated, a laboratory accelerated corrosion test spectrum is generated, meanwhile, an actual environment fluctuation spectrum is monitored, the two spectrums are aligned by using a weight vector, accelerated corrosion data are obtained, and a basic life prediction value is calculated. And calculating an environment-structure coupling factor by combining the interaction between the three-dimensional structure characteristic parameters of the radiator and the temperature and humidity data values, correcting the basic life prediction value, and generating a final life prediction result. According to the method, double-channel feature alignment and coupling factor correction are adopted, and the corrosion life of the radiator of the specific structure under the actual working condition can be predicted.

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.

The invention relates to a method for establishing and optimizing a multi-scale prediction model for constitutive parameters of a fiber reinforced composite material. Comprising the following steps: constructing a fiber-matrix microscopic RVE model, applying a boundary condition and a load, determining a failure criterion, and calculating equivalent mechanical parameters of a fiber bundle; a fiber bundle-matrix mesoscopic RVE model is generated, fiber bundle equivalent mechanical parameters serve as material attributes of fiber bundles in the mesoscopic RVE, a viscoelastic model is adopted for a matrix, and fiber reinforced material unit cell equivalent mechanical parameters are calculated; constructing a macroscopic fiber reinforced composite material finite element model, endowing a macroscopic model with unit cell equivalent mechanical parameters, defining an orthotropic material card, simulating an explosion impact process by adopting an explicit dynamics algorithm, outputting structural displacement, a damage area and stress distribution, and comparing calculation and test data. And correcting the microscopic RVE model and the mesoscopic RVE model through reverse optimization iteration to obtain a final macroscopic prediction model. The explosion-proof performance of the fiber composite structure is remarkably improved.

A bodily-fluid transfer device includes a housing, a pre-sample reservoir, and an actuator. The housing defines an inner volume between a substantially open proximal end portion and a distal end portion that includes a port couplable to a lumen-defining device. The pre-sample reservoir is fluidically couplable to the port to receive a first volume of bodily fluid. The actuator is at least partially disposed in the inner volume and has a proximal end portion that includes an engagement portion and a distal end portion that includes a sealing member. The engagement portion is configured to allow a user to selectively move the actuator between a first configuration such that bodily fluid can flow from the port to the pre-sample reservoir, and a second configuration such that bodily fluid can flow from the port to a sample reservoir defined at least in part by the sealing member and the housing.

The invention discloses a temperature control management method for an electric oven, and relates to the technical field of intelligent household appliance control, and the method comprises the steps: carrying out the offset correction of a pre-stored mode mapping table based on a calibration matrix, loading a target temperature interval and a three-dimensional temperature field partition parameter according to a cooking mode selected by a user, and triggering a dynamic learning mark; according to the dynamic learning mark, the furnace chamber temperature and the environment temperature change rate are collected in real time, the power compensation amount is calculated through a thermal inertia compensation model, and a partition power control matrix is generated in combination with the three-dimensional temperature field partition parameters; and distributing the power compensation amount and the partition power control matrix to the heating pipe according to a preset topology, dynamically adjusting power output, and implementing temperature early warning and no-load identification based on an acoustic emission spectrum entropy value. The temperature gradient change rate is calculated through the Fourier heat conduction law, the three-dimensional temperature field partition parameters are dynamically generated, and accurate control over the temperature field in the complex three-dimensional space is ensured so as to cope with environment changes and user demand changes.

The invention discloses a use monitoring method and system for a knife gate valve, and relates to the technical field of knife gate valve monitoring, and the method comprises the steps: integrating a multi-mode sensor array at the root of a valve rod of the knife gate valve, an adjacent region of a sealing surface and in a valve cavity flow channel, and collecting multi-source signals in real time; performing dynamic fusion processing on the multi-source signal, and determining a feature extraction algorithm combination based on the current valve rod temperature and historical working condition data to extract a sealing surface damage feature, a transmission chain wear feature and a particle impact feature; constructing a dynamic anomaly judgment model, updating a clustering boundary of a vibration and torque characteristic space in real time, and performing decoupling diagnosis on a sealing surface dry friction risk, thread clearance expansion and gear wear in combination with time-frequency domain fluctuation analysis of a gear meshing frequency harmonic attenuation rate and an angular acceleration; and generating a three-level maintenance strategy according to the diagnosis result, dynamically adjusting the output torque of the execution mechanism and optimizing the switching frequency of the valve.

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

Systems and methods for cooling a biological sample with different temperature cooling blocks. Warmer cooling blocks can be placed around a container and cooler cooling blocks can be placed above the container. The biological sample can be a pancreas, heart or other organs. The method and system can rely on convection, or gravity-based fluid movement, to make the temperature within the container consistent.

The invention relates to the technical field of roller cooling, and discloses a roller cooling temperature control method and system.The method comprises the steps that the length of a roller is obtained, and the roller is equally divided into N temperature monitoring areas according to the length of the roller; n pieces of detection temperature value data are obtained and preprocessed; inputting the detected temperature value data into a pre-trained state model for comparison, and obtaining a temperature prediction value; the optimal cooling water flow is calculated according to the temperature prediction value through an MPC controller; acquiring historical data of the roller, and inputting the historical data into the auto-encoder for reconstruction; inputting detection temperature value data collected in real time into the auto-encoder, and calculating a reconstruction error value; and determining a current cooling water flow control state based on the reconstruction error value, and compensating the cooling water flow to the MPC controller. The roller cooling efficiency is improved.

A transport container and methods for preserving an organ at a target temperature. The transport container can maintain the organ at a temperature of 6-8⁰C for improved results after transplantation. The transport container can store the organ at a target temperature of determined based on characteristics of the organ and the donor. A processor can determine the target temperature for preservation of the organ. The transport container can contain cooling media that is colder near the bottom of the transport container and warmer near the top of the transport container to counter uneven cooling caused by gravity.

The embodiment of the invention discloses a numerical calculation method for water outlet icebreaking of a navigation body and related equipment, and the method comprises the steps: generating a floating ice field geometric model according to a working condition, and constructing a navigation body model of the navigation body; grid division is carried out on the floating ice field geometric model and the navigation body model, and a water outlet icebreaking calculation model is obtained; fluid-solid coupling relation definition is conducted on the effluent icebreaking calculation model, and an optimized effluent icebreaking calculation model is obtained; the optimized water outlet icebreaking calculation model is used for simulating the water outlet icebreaking conditions of the navigation body at different moments, and water outlet icebreaking numerical values of the navigation body at different moments are obtained. The fluid-solid coupling relation definition can more accurately describe the interaction between fluid and solid, and in the water outlet icebreaking process, collision and extrusion between a navigation body and an ice layer and subsequent icebreaking behaviors all relate to a complex fluid-solid coupling phenomenon, so that the fluid-solid coupling relation definition is carried out on the water outlet icebreaking calculation model, and the calculation accuracy is improved. Therefore, an accurate value of water outlet icebreaking of the navigation body is obtained.

The invention relates to the technical field of wind power generation. The invention provides a fan main shaft backward movement monitoring and evaluating method and system. The method comprises the following steps: acquiring an axial displacement signal, a vibration signal, a bearing temperature signal and a lubrication state parameter of a fan main shaft in real time; based on a multi-parameter fusion algorithm, performing coupling analysis on the axial displacement, the vibration amplitude, the bearing temperature and the lubrication state to generate a comprehensive risk index; performing dynamic diagnosis on the comprehensive risk index in combination with a main shaft backward movement mechanism model, and identifying at least one fault root cause of axial force imbalance, thermal stress abnormality or lubrication failure; an alarm threshold value is dynamically adjusted according to wind speed change, temperature fluctuation and load working conditions, and graded early warning is triggered based on the fault root cause; and based on historical operation data and a real-time monitoring result, evaluating a main shaft backward movement risk level, and generating a decision report containing a maintenance priority and a technical improvement suggestion. The problem that existing fan main shaft backward movement monitoring depends on manual inspection and offline detection technologies, and limitation exists is solved.

The invention relates to the field of abrasion morphology determination and abrasion loss calculation, and discloses an abrasion morphology and contact stress analysis and prediction method and system based on a rough contact surface, a medium and equipment, and the method comprises the steps: constructing a dynamic contact model, and obtaining an accurate movement rule and a stress analysis result of a moving mechanical component; constructing a three-dimensional rough surface digital twinborn model conforming to an actual contact surface; establishing a contact stress field multi-physical field analysis model to obtain elastic deformation and a friction heat effect; based on the contact stress distribution and the local wear rate which are obtained in real time, carrying out dynamic reconstruction on the wear morphology, and establishing a nonlinear iteration relation between the wear loss and the contact stress distribution; determining an accurate boundary condition based on an accurate movement rule and a stress analysis result of the moving mechanical component, and constructing a failure criterion based on contact stress gradient mutation and surface roughness evolution; key parameters are calibrated through experiments, and a mapping relation database of wear rate-stress state-morphological characteristics is established so as to carry out friction wear analysis.

The present invention relates to the technical field of mechanical property testing and characterization. Disclosed are a method and apparatus for calculating a crack propagation life of an engine structure in vibration fatigue, which method and apparatus aim to obtain reliable fracture mechanics parameters and a crack propagation rate curve and provide an accurately quantified crack propagation life, so as to provide methodological guidance for the life assessment of reusable engines. The calculation method comprises: acquiring a time-domain random stress spectrum of stress responses in an assessment section in a finite element model of an engine structure; on the basis of the time-domain random stress spectrum, performing finite element analysis processing on a crack model of the engine structure, so as to determine fracture mechanics parameters of a cracked structure; performing a vibration fatigue performance test on a crack propagation rate model, which is set up according to a preset crack propagation mode, and determining, by using parameter identification, a target parameter value corresponding to the crack propagation rate model; and in combination with the parameter value corresponding to the crack propagation rate model and a preset critical crack length value, performing crack propagation life calculation, so as to obtain a target crack propagation life.

The invention relates to a method for determining a total fluid volume flow (1) in the region of an implanted vascular support system (2), comprising the following steps: a) determining a reference temperature (3) of the fluid, b) determining a motor temperature (4) of an electric motor (5) of the support system (2), c) determining the thermal dissipation loss (6) of the electric motor (5), d) ascertaining the total fluid volume flow (1) using the reference temperature (3), the motor temperature (4), and the thermal dissipation loss (6) of the electric motor (5).

An apparatus includes a cannula assembly, a housing, a fluid reservoir, a flow control mechanism, and an actuator. The housing includes an inlet port removably coupled to the cannula assembly and defines an inner volume. The fluid reservoir is fluidically coupled to the housing and configured to receive and isolate a volume of bodily fluid from a patient. The flow control mechanism is at least partially disposed in the inner volume. The actuator is operably coupled to the flow control mechanism and is configured to move the flow control mechanism between a first configuration, in which bodily fluid can flow, via a fluid flow path defined by the flow control mechanism, from the cannula assembly, through the inlet port and into the fluid reservoir, to a second configuration, in which the fluid reservoir is fluidically isolated from the cannula assembly.

The invention relates to the technical field of power equipment monitoring, in particular to a 10kV cable joint temperature inversion correction method based on environmental heat exchange conditions, which comprises the following steps: measuring surface temperature data through a sensor array, and analyzing material layering characteristics in combination with X-ray imaging; then, establishing an electromagnetic-thermal-fluid field coupling model, and calculating a dynamic thermal resistance coefficient and a heat flow distortion index; thirdly, optimizing surface temperature distribution and iteratively updating thermal resistance parameters by utilizing a bidirectional feedback correction strategy, and finally generating a high-precision internal temperature field; through adaptive temperature compensation and multi-source data fusion, the accuracy of temperature prediction is improved, long-term monitoring errors are reduced, the method can be widely applied to intelligent operation and maintenance and fault early warning of cable joints, and the safety and stability of a power system are improved.

The invention provides an automobile magnesium alloy pre-twin crystal deformation data analysis system, and relates to the technical field of data processing, and the system comprises a twin crystal correction module which is provided with a first target monitoring point and a second target monitoring point in a pre-twin crystal area, the first target monitoring point is located at a crystal boundary intersection, and the second target monitoring point is located at the center of a twin crystal zone; acquiring orientation difference angle and strain energy density difference data of the two monitoring points in real time, calculating a covariance matrix of change characteristics of the two monitoring points, and correcting a proliferation rate parameter and an orientation rotation parameter in the dynamic evolution matrix according to a correlation coefficient of the covariance matrix to obtain a corrected dynamic evolution matrix; and the optimization module is used for adjusting a hot extrusion process parameter group according to the twin crystal density gradient distribution output by the corrected dynamic evolution matrix, the parameter group comprises a mold temperature, an extrusion speed and a strain path, and the twin crystal density is dynamically controlled in a target interval. According to the invention, the complex stress state of the automobile part under the actual working condition can be accurately simulated.

A system includes a fluid end having a fluid end face and a recess extending toward a base. The system also includes a pressure ring extending from the fluid end face, the pressure ring having a pressure ring bore diameter larger than a fluid end bore diameter. The system further includes an adjacent ring coupled to the fluid end, the pressure ring positioned between the adjacent ring and the base, wherein at least one fastener extends through an aperture of the adjacent ring to couple the adjacent ring to the fluid end. The system includes packing material positioned within at least a portion of the pressure ring bore, the packing material positioned such that axial movement toward the fluid end is blocked by the base.

A three-way heat exchanger includes an airflow inlet, an airflow outlet, a heat transfer fluid inlet manifold extending proximate the airflow outlet, and a heat transfer fluid outlet manifold extending proximate the airflow outlet. The heat exchanger also includes panel assemblies each including a frame defining a heat transfer fluid channel and a membrane positioned on the frame and defining a desiccant channel. The heat transfer fluid channel is connected to the heat transfer fluid inlet and outlet manifolds for channeling a flow of the heat transfer fluid therebetween counter to the airflow direction. Each panel assembly also includes a heat transfer fluid flow guide positioned in the heat transfer fluid channel to control the flow of the heat transfer fluid counter to the airflow direction.

A pump system includes a housing defining a first internal volume and a second internal volume, a first piston positioned to separate the first internal volume into a first chamber and a second chamber, a second piston positioned to separate the second internal volume into a third chamber and a fourth chamber, a first inlet check valve configured to permit fluid flow into the first chamber, a second inlet check valve configured to permit fluid flow into the third chamber, a directional control valve (DCV) repositionable between (a) a first position where the DCV is configured to fluidly couple the second chamber to a high pressure fluid source and (b) a second position where the DCV is configured to fluidly couple the fourth chamber to the high pressure fluid source, and a relief valve configured to supply a fluid to the DCV through an orifice to move the DCV.

The invention relates to a grid steel structure node failure diffusion prediction method, which comprises the following steps of: forming a failure inducement and evolution path model according to a connection form of a bolt-sphere node and a welding node, a stress transfer path, node local yield and fatigue accumulation factors; a diffusion logic of node failure-force flow redistribution-adjacent node stress concentration-chain reaction is constructed; nodes are regarded as middle points of the graph, rod pieces are regarded as edges, and propagation weights between the nodes are defined; the weight parameters are dynamically assigned based on material attributes, node connection types, spatial geometric positions and historical stress states; multi-source monitoring sensors including strain gauges, displacement meters, thermometers and accelerometers are arranged at key nodes of the grid structure, so that node states are sensed; in combination with real-time monitoring data, extracting strain rate change, vibration characteristics, frequency drift and residual deformation key characteristics of each node; a node health state feature vector set is constructed by using time sequence analysis, and the gradual degradation trend of nodes is reflected.

The invention discloses a powder metallurgy gear hardness detection method and system, and belongs to the technical field of metallurgy gears, and the method comprises the steps: obtaining a to-be-detected gear three-dimensional model, and dividing a hardness evaluation region; a thermal response image is collected, a thermal response time gradient parameter TRTG is extracted, and a thermal diffusion characteristic matrix T is formed; establishing a hardness initial model H1 based on the TRTG and compactness; constructing a finite element stress field model, extracting a stress distribution modulation coefficient SDMC, and forming a stress characteristic matrix S; performing weighted correction on H1 based on T and S, and establishing a comprehensive hardness prediction model H2; outputting a hardness prediction result of the whole gear and the key area, and identifying a potential weak area; according to the method, thermal response and stress modulation parameters are fused, non-destructive and high-resolution hardness distribution prediction is achieved, and the method is suitable for quality evaluation and failure early warning of the powder metallurgy gear of a complex structure.