9949 results about "Lubrication" patented technology

The invention discloses a machine tool control method and system based on mechatronics, and the method comprises the steps: outputting an optimal cutting track sequence according to the three-dimensional model features and material attribute parameters of a machined workpiece; based on the optimal cutting track sequence, motion interference among shafts of the machine tool is eliminated through dynamic weight distribution, and an anti-interference optimization machining instruction is generated; constructing a nonlinear vibration wave propagation model according to the coupling relation between the spindle rotating speed and the feeding speed, and generating a steady speed regulation and control signal; generating an energy efficiency optimal parameter set including motor torque, cooling power and lubricating frequency based on the energy consumption efficiency constraint condition and the steady speed regulation and control signal; and outputting a closed-loop control signal and synchronously updating the three-dimensional machining precision thermodynamic diagram according to the real-time data in the machining process and the predicted deviation of the digital twin model. According to the embodiment of the invention, global optimization, dynamic adaptation and efficient operation of the machine tool can be realized, and technical support is provided for intelligent upgrading of the modern manufacturing industry.

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 discloses a mechanical transmission system fault trend prediction system based on dynamic feature recognition, and relates to the technical field of mechanical state monitoring. Comprising the following steps: synchronously acquiring a load torque signal and a lubrication state parameter signal of a transmission system and vibration acceleration signals of a plurality of measuring points through a signal acquisition module; the working condition decoupling characteristic generation module carries out time-frequency analysis on the vibration signal, calls a pre-stored load disturbance spectrum template according to a load torque signal to carry out adaptive differential processing so as to eliminate load fluctuation interference, and calls a correction rule set according to a lubrication state parameter signal to carry out form recombination on the signal so as to compensate the lubrication state influence; and finally outputting a working condition decoupling feature representing the health state of the mechanical part. And the trend prediction module calculates and obtains fault development trend and residual life estimation data through a pre-trained fault prediction model. According to the method, the dynamic characteristics representing the essential degradation of the part are effectively extracted, and the accuracy and reliability of fault trend prediction of the mechanical transmission system are improved.

Systems and methods for providing lubrication to a gas turbine engine are described. An example gas turbine engine includes a plurality of bearings disposed along an axial length of a rotatable shaft to provide rotational support between a static structure and at least one of a compressor and a turbine of the gas turbine engine. The gas turbine engine further includes a fuel system operable to deliver a mixture of fuel and lubricant sequentially to at least one of the plurality of bearings and the combustor so that during operation of the gas turbine engine, at least the lubricant within the mixture is in a liquid phase prior to being received by the at least one of the plurality of bearings, and in a vapor phase once the lubricant is delivered to the at least one of the plurality of bearings.

The invention provides an industrial equipment lubricating oil life prediction method and system based on machine learning, and the method comprises the steps: firstly obtaining a lubricating oil state monitoring data set of industrial equipment in a preset monitoring period, and enabling the lubricating oil state monitoring data set to comprise a plurality of lubricating state monitoring sequences; each lubricating state monitoring sequence is composed of lubricating oil attribute index data and equipment operation state data, then dynamic feature extraction is carried out on the lubricating oil state monitoring data set to obtain lubricating oil attribute dynamic change features and equipment operation state associated features, and then the lubricating oil state monitoring sequence is predicted based on a preset lubricating life prediction model. And finally, generating a lubrication maintenance decision instruction according to the lubrication oil life prediction value and a preset lubrication life threshold value, and feeding back the lubrication maintenance decision instruction to an industrial equipment maintenance terminal to trigger lubrication maintenance operation, thereby realizing effective prediction and maintenance decision of the service life of the industrial equipment lubrication oil.

The invention discloses a low-temperature minimal quantity lubrication cooling method in aluminum alloy precision machining, and relates to the field of aluminum alloy precision machining. Machining parameters such as the cutting speed and the feeding amount are determined according to the aluminum alloy material, the machining requirement and the tool performance, and finite element simulation optimization is carried out; high-purity vegetable oil-based lubricating oil is selected, a nano anti-wear agent and an antioxidant are added, and cooling liquid is prepared by mixing compressed air through vortex tube refrigeration; spraying to a processing area through a special multi-channel nozzle, and dynamically adjusting the flow; multiple sensors are used for monitoring the temperature, the tool abrasion and the surface quality, and adjustment is conducted when threshold values are exceeded; and the cooling liquid is recycled after being subjected to centrifugation and membrane filtration treatment, and the metal filing is classified, recycled and reused. The cooling and lubricating effects are good, cutting heat and tool abrasion are reduced, the machining precision is improved, and the tool service life is prolonged; environment-friendly lubricating oil is recycled, so that pollution and cost are reduced; real-time monitoring and adjustment guarantee stable machining quality, machining efficiency is improved, and high-end manufacturing requirements are met.

The invention relates to a negative-wear super-wear-resistant current-carrying friction pair material which is a conductive lubricating film which is constructed in situ and stably exists under a current-carrying friction condition, and the current-carrying friction pair material is composed of Ga-based liquid metal, a Mo coating and an Al alloy bolt. Through cooperation of friction pair materials, a friction interface reaction is adjusted to generate a conductive lubricating film, and excellent lubricating and wear-resisting properties are achieved; in a large voltage and current range, the average friction coefficient is always maintained to be 0.25 or below, the existence of the lubricating film enables the surface to present negative wear, and the average negative wear rate is 1.28 * 10 <-6 > mm < 3 > / Nm or above. The obtained material is suitable for application in the field of electric contact industry and provides lubrication and wear protection for the surfaces of mechanical parts.

The invention provides a lubricating system fault early warning method based on data analysis, which relates to the technical field of data analysis, and is used for comprehensively analyzing vibration data and pressure data in operation data of a lubricating system, judging whether an oil way blockage phenomenon occurs in the lubricating system or not, and judging the specific blockage position and degree. Therefore, the problem that in a high-speed bearing lubricating system, due to the fact that metal abrasive dust, oil sludge and external impurities in lubricating oil accumulate and deposit in an oil way, oil way blockage is caused, poor lubrication is caused, and the bearing is damaged due to overheating can be solved.

The invention belongs to the technical field of ship bearings, and particularly relates to a ship bearing radial loading test bench and method for simulating ice load and water immersion working conditions, and the method comprises the steps: installing a to-be-tested intermediate bearing on a test platform, enabling the intermediate bearing to sleeve a test shaft, starting a cooling water circulation system to control the flow, cooling water enters a cooling water coil pipe to establish oil pool cooling circulation; a driving motor is started; a test shaft stably operates through equipment such as a reduction gearbox and the like; a dynamic pressure lubrication state is established, a radial dynamic load or a stable constant load is applied through a hydraulic loading system to simulate an icebreaking load working condition, and a simulated water body is injected into a water tank; the test conditions of the intermediate bearing in a ship immersion environment are constructed through water pressure adjustment, the temperatures of lubricating oil, a bearing bush and cooling water are monitored in real time, the loading force is adjusted through feedback data, and the performance of the intermediate bearing is judged after the test is finished. The problems that ice excitation and soaking environment simulation are insufficient and a loading structure is eccentric in the prior art are solved, and high-precision cooling and thermal stability evaluation are achieved.

A vacuum pump, which is connectable to an external system and configured to evacuate material from the external system, includes a main housing defining a motor housing, a pump housing, and a partition wall that separates the motor housing and the pump housing. The pump housing is sealed relative to the motor housing to form a compression chamber that holds a lubrication fluid. The vacuum pump further includes a motor assembly that is positioned within the motor housing and a pump assembly that is positioned within the compression chamber. The pump assembly is driven by the motor assembly and is in fluid communication with the compression chamber. The pump assembly includes a pump chamber, a rotor having vanes that is driven within the pump chamber, and a seal that is in sliding contact with the rotor. The seal is moveable relative to the rotor.

The invention discloses a gearbox self-lubricating structure with an oil collecting and distributing piece and a lubricating optimization method. The gearbox self-lubricating structure comprises the oil collecting and distributing piece (comprising a main oil collecting groove and an input shaft / gear set lubricating pipeline) arranged in a box body and a side lubricating oil way (an auxiliary oil collecting groove and a guide hole). According to the method, splashing oil is intercepted to the main oil collecting groove through the baffle, the oil level and the boss height are dynamically compared based on the oil throwing amount formula Q = k * b * v * h, and the oil is distributed and directionally dripped into the bearing through the lubricating pipeline. The problems of uneven lubrication, poor speed ratio adaptation and high oil stirring heating in the prior art are solved, an external oil pump is not needed, the energy consumption and the manufacturing cost are reduced, scrap iron is intercepted, the service life of the bearing is prolonged, the high-speed shaft is cooled preferentially, and the low-speed shaft is cooled as required under the full-speed-ratio working condition, and the operation stability of the gearbox is improved.

The invention discloses an electrostatic induction and optical imaging principle-fused online monitoring device and method for wear particles of a water-lubricated bearing, and belongs to the field of state monitoring of mechanical equipment. The device comprises a square insulation detection cavity, a detection electrode array, an electromagnetic shielding shell, a high-speed optical imaging module and a signal processing unit, the square insulation detection cavity is installed in a bearing lubrication water loop. The detection electrode array is fixed to the outer wall of the cavity and used for capturing electrostatic signals generated when the abrasion particles pass through. The electromagnetic shielding shell wraps the detection cavity and is grounded through a wire to eliminate environmental electromagnetic interference. The high-speed optical imaging module integrates a high-magnification microscope lens and a CMOS sensor, is coaxially mounted with the detection cavity, and obtains the morphology characteristics of the wear particles in real time; and the signal processing unit performs multi-modal data fusion analysis on the electrostatic signal and the optical image. Through cooperative detection of electrostatic induction and optical imaging, the monitoring precision and reliability of the wear particles of the water-lubricated bearing are remarkably improved.

The invention relates to the technical field of intelligent oil injection control, in particular to a limited slip differential gear oil performance directional optimization method and system.The limited slip differential gear oil performance directional optimization method comprises the following steps that the temperature rise rate is collected through a temperature sensor to calculate the gear shaft elongation, and a meshing clearance trend vector is generated by combining differential temperature time sequence analysis; the stability correction is calculated by fusing oil film thickness data, the injection angle compensation driving servo motor is solved based on vector projection, the adhesion factor index is constructed by coupling the oil injection feedback and the oil film difference, the oil product meeting the tension condition is switched when the limit is exceeded, and the lubrication recovery performance is evaluated. According to the method, gear shaft temperature rise and differential mechanism temperature gradient data are collected in real time, meshing clearance accurate prediction is achieved by combining expansion coefficient analysis, stability judgment is improved by fusing oil film thickness data, jet precision is optimized based on a vector projection dynamic compensation jet angle, and an adhesion factor index containing a phase difference is constructed to achieve lubrication attenuation early warning. And oil products are accurately switched by dynamically matching tension and viscosity threshold values, so that friction loss is reduced.

The invention discloses a magnetic suspension non-contact driving self-balancing precision machine core which comprises a metal disc, a magnetic suspension assembly is arranged at the top of the metal disc, a connecting assembly is arranged on the magnetic suspension assembly, a pluggable stable supporting assembly is arranged on the metal disc, the magnetic suspension assembly comprises a Halbach annular permanent magnet array and an electromagnetic coil, and the Halbach annular permanent magnet array is connected with the connecting assembly. The Halbach annular permanent magnet array is installed at the top of the metal disc, and the electromagnetic coil is installed at the top of the metal disc and located in the Halbach annular permanent magnet array. Through composite magnetic suspension driving of the Halbach annular permanent magnet array and the electromagnetic coil, no mechanical contact exists between the suspender and the metal disc, the friction loss of traditional gear meshing is eliminated, no lubrication requirement exists, the problem of lubricating grease volatilization or aging is avoided, the stable supporting assembly is controlled through a pressure sensor and an electric push rod in a closed-loop mode, and the stability of the stable supporting assembly is improved. The height of the supporting column is adjusted in real time, so that the whole device is in a horizontal state, and the magnetic suspension system is not affected by inclination of a mounting plane.

The invention relates to the field of numerical control machine tools, in particular to a multi-layer chain type tool magazine which comprises a chain type tool storage bin, a forward and reverse rotation motor, a collecting box, a positioning assembly, a heat dissipation assembly and a cleaning assembly. The positive and negative rotation motor is coaxially connected with a positioning assembly which keeps tool changing stable and accurate, the positioning assembly is installed in the chain type tool storage bin and connected with the chain type tool storage bin, and a heat dissipation assembly for heat dissipation and lubrication is installed on the positioning assembly. A cleaning assembly used for cleaning a replaced cutter and assisting in accurate positioning of the cutter is installed above the heat dissipation assembly, a collecting box used for collecting waste liquid and waste materials is rotationally installed between the forward and reverse rotation motor and the chain type cutter storage bin, and the heat dissipation assembly and the cleaning assembly are matched through different rotating directions of the positioning assembly. The problem of inaccurate positioning is solved, and meanwhile the service life of the cutter and the chain type cutter storage bin is prolonged.

The invention discloses a nonlinear dynamic modeling method of a helical gear transmission system considering wear. The method comprises the following specific steps: step (1), establishing a time-varying meshing stiffness calculation model of a helical gear pair in a healthy state; (2) establishing a time-varying meshing stiffness calculation model of the wear fault helical gear pair; (3) establishing a helical gear tooth surface friction model under the condition of mixed elastohydrodynamic lubrication; (4) establishing a deformation equation of the tapered roller bearing; (5) establishing a helical gear transmission system model considering wear, and solving the nonlinear vibration characteristics of the helical gear transmission system under different wear degree faults of the helical gear; the method has the beneficial effects that the nonlinear dynamic model of the helical gear transmission system considering wear is established, and technical support is provided for related technologies of fault dynamic modeling of the current helical gear transmission system.

The present invention belongs to the technical field of cable stranding, and specifically relates to a cable stranding machine, which includes a wire placement rack. A wire installation roller is rotatably installed on the wire placement rack. One end of the wire placement rack is rotatably connected to a wire pipe. A first gear, a protective wire placement disk, a guiding disk, and a stranding disk are sequentially and fixedly sleeved on the wire pipe. A die head is placed directly in front of the wire pipe. The first gear meshes with a second gear, and the end of the second gear is rotatably connected to the wire placement rack. By driving the guiding disk to rotate, the wire wheels in the six installation slots on the guiding disk can sequentially come into contact with the lubricating oil in the oil tank. The protective wire is lubricated by the wire wheels attached with lubricating oil, realizing the lubrication of the protective wire, reducing the friction between the wire wheels, the perforations and the protective wire, thereby greatly reducing the wear of the protective wire and improving the quality of cable manufacturing.

The invention relates to a polyurethane carrier roller press-fitting device and a working method thereof.The polyurethane carrier roller press-fitting device comprises a base, a supporting mechanism and press-fitting mechanisms, the supporting mechanism is installed in the middle of the top side of the base, the press-fitting mechanisms are slidably installed at the two ends of the top side of the base, the supporting mechanism comprises a supporting frame, and two supporting roller seats are slidably installed on the top side of the supporting frame; first pneumatic cylinders are installed at the two ends of the supporting frame, and supporting shaft seats provided with V-shaped grooves are installed at the telescopic ends of the first pneumatic cylinders. Through three core technologies of modular adjustment, automatic press fitting and dynamic lubrication cleaning, the problems of low efficiency, poor precision, uneven lubrication and the like in traditional carrier roller assembly are solved, the device is particularly suitable for production scenes of high-precision and large-batch polyurethane carrier rollers, and the comprehensive performance reaches the industry leading level.

A multi-body dynamics simulation method, system, device and medium for a chain system, the method comprising: acquiring a connection relationship among a plurality of target components in the chain system, a structure parameter, a space environment parameter and a task parameter of each target component, and a physical property of a lubricating medium of the chain system under the space environment parameter; correcting the structure parameter of each target component based on the space environment parameter to obtain a target structure parameter; based on the target structure parameters and the connection relation, determining friction characteristic indexes and motion freedom degrees among the multiple target assemblies; constructing a lubrication-volatilization-friction coupling matrix among the plurality of target components; constructing a multi-body dynamic model according to the target structure parameters and the lubrication-volatilization-friction coupling matrix; and acquiring a rotating speed fluctuation curve and load torque data corresponding to the task parameters, and inputting the rotating speed fluctuation curve and the load torque data into the multi-body dynamic model to obtain a dynamic simulation result of the chain system. The reliability of multi-body dynamics simulation of the chain system can be improved.

The invention relates to the technical field of lubricating oil, in particular to graphene composite rolling oil and a preparation method and application thereof. The rolling oil comprises base oil, branched oleic acid modified graphene containing quaternary ammonium salt, an anti-wear reagent at extreme pressure, an antioxidant, an anti-rust agent and a defoaming agent. Wherein the quaternary ammonium salt branched oleic acid is prepared through a thiol-ene click reaction and a quaternization reaction, and the dispersity, the interface adsorption strength and the high-temperature stability of graphene in a lubricating oil system can be remarkably improved. The product provided by the invention is suitable for rolling lubrication under severe working conditions such as high temperature and high load, and has a wide industrial application prospect.

The invention belongs to the technical field of liquid metal coating and infiltration in grinding machining, and particularly relates to a temperature-control ultrasonic composite liquid gallium auxiliary grinding device and method for a micro engine blade, and the device comprises a fluid conveying module, a temperature adjusting module, a machining module, an ultrasonic vibration module and an electromagnetic field generator. Temperature control of liquid gallium is achieved by arranging a microwave cavity and a cooling system, stable supply is guaranteed through inert gas and a liquid gallium conveying pipeline, and uniform coating and ultrasonic vibration infiltration on the surface of the blade of the micro engine are achieved by combining an ultrasonic transduction assembly and a spraying nozzle. The electromagnetic field generator further enhances the adhesion and lubrication effects of the liquid gallium on the grinding wheel and the blades. The defects of insufficient grinding temperature control and lubrication of a traditional grinding wheel are overcome, the grinding temperature rise and the friction coefficient are effectively reduced, thermal damage and surface deformation are avoided, and the machining precision and the surface quality of complex curved surfaces and tenon tooth parts are improved.

The invention relates to a stern bearing lubrication characteristic analysis method coupled with the influence of three-dimensional vibration of a stern shaft, and the analysis method comprises the steps: S1, inputting global parameters into a bearing lubrication performance and kinetic parameter calculation module and a propulsion shaft system vertical, horizontal and torsional three-dimensional vibration calculation module, and completing the corresponding calculation; s2, obtaining a bearing transfer matrix; s3, obtaining a system transfer matrix; s4, the forced vibration calculation module completes corresponding calculation; s5, a bearing relative position feedback module completes corresponding calculation; and S6, judging whether the calculation of one work cycle is completed or not, and storing and outputting the working characteristic result of the stern shaft-stern bearing in the cycle. By designing a bearing lubrication performance and kinetic parameter calculation module and a propulsion shafting vertical and horizontal torsion three-dimensional vibration calculation module, the vibration and lubrication coupling effect between a stern shaft and a stern bearing is fully considered, and a stern shaft vertical and horizontal torsion three-dimensional vibration and stern bearing lubrication characteristic bidirectional coupling model is established. And a vibration lubrication mutual feedback mechanism under a complex vibration condition is disclosed.

The invention provides an automobile power system using hydrazine and compatible with various liquid fuels. The system comprises a fuel storage subsystem, an oil tank self-repairing subsystem, a fuel conveying subsystem, an oil injection heating subsystem, a fuel combustion subsystem, a piston kinetic energy conversion subsystem, a mechanical-electric energy conversion subsystem, an inversion conversion subsystem, a super capacitor subsystem, a multi-pole variable motor subsystem, an in-vehicle air conditioner subsystem and a foaming tire subsystem. The control subsystem, the mechanical lubrication subsystem, the braking energy recovery subsystem, the waste gas treatment subsystem, the waste heat recovery subsystem, the safety protection subsystem and the parking subsystem are used for forming a complete oil-electricity hybrid automobile system; the efficient, safe, comfortable, environment-friendly and intelligent automobile power system is innovatively constructed, so that the requirements of various vehicle power systems are met.

The invention relates to the technical field of rubber materials, in particular to a rubber composite material with self-lubricating and wear-resistant characteristics and a preparation method thereof. The rubber composite material with self-lubricating and wear-resistant characteristics is prepared from the following raw materials in parts by mass: 70 to 75 parts of nitrile rubber, 15 to 18 parts of carbon black, 30 to 35 parts of self-lubricating filler, 2 to 3 parts of plasticizer, 2 to 3 parts of zinc oxide, 2 to 3 parts of zinc stearate, 3 to 5 parts of coupling agent, 4 to 6 parts of self-lubricating additive, 1 to 1.5 parts of anti-aging agent, 1 to 1.5 parts of accelerant and 2 to 4 parts of vulcanizing agent. The prepared rubber composite material with self-lubricating and wear-resistant characteristics has excellent lubricating property, wear-resistant property and mechanical property. The method is suitable for the fields of automobile manufacturing, mechanical manufacturing, aerospace and the like.

The invention discloses an energy-saving type magnetic suspension centrifugal water chilling unit, and relates to the technical field of refrigeration, the energy-saving type magnetic suspension centrifugal water chilling unit comprises a magnetic suspension compressor, a variable-diameter throttling mechanism and a heat exchange system, the heat exchange system is fixedly installed on the side face of the outer wall of the magnetic suspension compressor, and the variable-diameter throttling mechanism is fixedly installed on the side face of the outer wall of the heat exchange system; an outlet of the magnetic suspension compressor is directly connected with the heat exchange system through a pipeline, and the reducing throttling mechanism is connected with the heat exchange system through a pipeline. The front-stage closed impeller and the rear-stage semi-open impeller are coaxially connected in series, efficient compression without mechanical contact and oil lubrication is achieved, the problems that a centrifugal compressor is high in energy consumption and large in vibration due to mechanical friction are solved, and the energy efficiency ratio of a unit is effectively increased.

The invention relates to the technical field of wind driven generator monitoring, in particular to a fan fault early warning and diagnosis method fusing multi-modal time sequence data, which comprises the following steps: respectively acquiring vibration time sequence data, current time sequence data and temperature time sequence data of a fan, and respectively calculating a first feature sequence, a second feature sequence and a third feature sequence; generating a fault early warning signal based on a three-state polarity synchronous counting mechanism; calculating a dispersion statistical value, and executing chronic fault diagnosis; when the fan is in a low-load steady-state working condition, active lubrication state detection and feedback are executed; when the first feature sequence is calculated, synchronously executing adjoint oil product pollution diagnosis; and the environment temperature is judged through the temperature time sequence data, and low-temperature working condition adaptability compensation is executed under the low-temperature working condition. The main purpose of the invention is to solve the problems in the prior art that early fault signs cannot be effectively captured due to information loss during fusion processing of multi-modal data, and real faults and external interference are difficult to distinguish.

An optimization method of the tooth profile modification of the cycloid gear is provided, and optimizes the method of equidistant-distance combination modification of the tooth profile of the cycloid gear, with the help of multi-objective optimization algorithm based on pressure angle of tooth profile, curvature radius and contact performance, the working range of the tooth profile modification of the cycloid gear is determined, and the optimal modification amount of the cycloid pin gear planetary reducer is determined, the tooth profile of the cycloid gear is modified to compensate these errors, ensure that it has reasonable tooth side clearance, lubrication and assembly, and improve the transmission efficiency and bearing capacity of the cycloid pin gear planetary reducer. The optimization method has the effects of high precision transmission, low noise operation, improving transmission efficiency, prolonging fatigue life and reducing space occupation.

The invention relates to the technical field of lubricating oil monitoring, in particular to a compressor lubricating oil online monitoring vibration diagnosis method and system, and the method comprises the steps: obtaining vibration signal data of a compressor bearing, a connecting rod mechanism and a piston assembly and lubricating oil medium parameters, arranging the data according to a time sequence, and generating a lubrication working condition time sequence signal data set; according to the method, through time sequence matching of vibration signal data and lubricating oil state parameters, a lubricating working condition time sequence signal data set is established, and in combination with time window division, the bearing vibration frequency offset, the piston transverse impact amplitude and the connecting rod torsional vibration change rate are extracted; and calculating the viscosity drop rate, the temperature change range and the pollutant particle growth rate of the lubricating oil, screening the correlation trend of the bearing vibration frequency offset before and after the change of the lubricating state, and enhancing the lubricating state recognition capability.

The invention discloses a gear service life prediction method based on a lubrication-vibration coupling model and a related device, and relates to the technical field of gear service life prediction.The method comprises the steps that firstly, according to gear transmission input data, a three-dimensional mixed lubrication model containing a Reynolds equation coupling solving system is established, and meanwhile system excitation is calculated; then the oil film and the meshing rigidity are connected in parallel to form comprehensive rigidity, a bending-torsion coupling kinetic equation containing torsion and transverse freedom degrees is established, and a lubrication-vibration coupling model is constructed; finally, by means of coupling model output, the lubrication state is evaluated, the vibration characteristic is optimized, and the fatigue and abrasion life is predicted. According to the method, the three-dimensional mixed lubrication model and the system excitation calculation and coupling dynamics model are integrated, the lubrication and vibration coupling effect is considered, the limitation of independent analysis is overcome, the evaluation precision is improved, gear parameter optimization, lubrication scheme making and fault diagnosis can be guided, and the method has engineering application value.

A lubrication system for a turbine engine. The turbine engine includes a propulsor and one or more rotating components. The lubrication system includes a sump, a primary lubrication system, an auxiliary lubrication system, and a strain energy storage system. The sump stores lubricant therein. The primary lubrication system supplies the lubricant from the sump to the one or more rotating components during normal operation of the turbine engine. The auxiliary lubrication system includes an auxiliary pump including an auxiliary pump shaft. The strain energy storage system includes a spring drivingly coupled to the auxiliary pump shaft. The spring stores strain energy during normal operation of the turbine engine and releases the strain energy when the propulsor is windmilling to rotate the auxiliary pump shaft to power the auxiliary pump such that the auxiliary pump pumps the lubricant from the sump to the one or more rotating components.