53 results about "Wear loss" patented technology

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 invention discloses an intelligent drill bit wear prediction system and method based on multi-source perception, and relates to the technical field of crossing of artificial intelligence and intelligent manufacturing, and the method comprises the steps: synchronously collecting vision, vibration, temperature, pressure and engineering parameter data through a multi-source sensor, and carrying out the time-space alignment and preprocessing; extracting each modal feature by a multi-channel network, generating high-dimensional joint representation through cross-modal attention fusion, inputting a time sequence model formed by a gating circulation unit and an adaptive residual block, and outputting a wear loss prediction sequence and a wear type probability; the system comprises a data acquisition module, a preprocessing module, a feature extraction module, a fusion module, a prediction module and a risk decision module, parameter instructions are optimized, and early warning is realized when a threshold value is triggered. Through multi-source cooperative sensing, dynamic feature fusion and closed-loop decision control, the prediction precision, robustness and real-time performance are remarkably improved, the drilling safety is guaranteed, and the operation and maintenance cost is reduced.

The invention provides a bearing bush parameter determination method and device and a bearing bush parameter determination system.The method comprises the steps that design parameters of a bearing bush are obtained, and the design parameters at least comprise one or more of the curvature radius, the oil film thickness of lubricating oil, the oil film pressure and the viscosity of the lubricating oil; the abrasion loss of the bearing bush is obtained, and the abrasion loss is the material loss amount caused by abrasion of the bearing bush due to the friction effect; a target optimization algorithm is adopted for optimization, the design parameters are adjusted until the abrasion loss reaches the minimum value of the abrasion loss, the updated design parameters are obtained, and the updated design parameters are used for constructing the bearing bush. The method solves the problem of poor wear resistance of the bearing bush in the prior art.

The invention relates to a reliability test method and device for an emergency diesel engine of a nuclear power plant and a storage medium, and the test method comprises the following steps: obtaining the operation condition information of the emergency diesel engine, and obtaining the estimated total use time of parts of a connecting rod power assembly of the emergency diesel engine based on the operation condition information; structural information of a connecting rod power assembly of the emergency diesel engine is obtained, a dynamic calculation model of the connecting rod power assembly is constructed based on the structural information and the operation condition information, and the dynamic calculation model is used for simulating operation of the connecting rod power assembly in preset time; obtaining a wear coefficient of the part, and inputting the wear coefficient and the estimated total use duration into the dynamic calculation model to obtain the part wear loss of the connecting rod power assembly and the maximum wear loss of the cylinder sleeve; and determining the reliability of the emergency diesel engine according to the part abrasion loss and the maximum abrasion loss of the cylinder sleeve. The test method can guarantee reliable operation of the emergency diesel engine.

The invention discloses a milling cutter on-line monitoring and compensation method based on industrial vision, and belongs to the technical field of industrial vision, and the method comprises the following steps: an industrial personal computer receives first monitoring data acquired by non-contact acquisition equipment, and pre-processes the first monitoring data; according to the preprocessed first monitoring data, temperature distribution of a milling area of the cutter is obtained, and thermal characteristics are counted; performing multi-working-condition dynamic wear modeling, and establishing a mapping relation between thermal characteristics and wear loss; and the cutter is compensated and adjusted in real time through a geometric compensation method or a parameter compensation method. In the implementation process of the technical scheme, image data in the tool operation process are subjected to visual collection and thermal characteristic statistics, then the thermal characteristic data obtained through statistics are input into the multi-working-condition dynamic wear model, calculation of the tool wear amount is achieved, and the tool wear amount is calculated through a geometric compensation method or a parameter compensation method. And the operation process of the cutter is compensated, and errors caused by abrasion are reduced.

The invention discloses a shield cutter wear prediction method and device, electronic equipment and a product, and relates to the technical field of shield cutter wear prediction. Wear data, tunneling parameters and geological condition parameters of the shield cutter are obtained; based on the abrasion data, the tunneling parameters, the stratum type and the stratum parameters, establishing an abrasion rate model of the shield cutter in the current stratum and a multi-dimensional abrasion loss curve of the shield cutter; multiple groups of multi-dimensional historical abrasion loss curves of the shield cutter in the current stratum, which have the highest similarity with the multi-dimensional abrasion loss curves and have the similarity higher than a preset threshold value, are obtained from a historical database; and based on the sampling data in the multiple groups of multi-dimensional historical wear loss curves, optimizing the model parameters of the wear rate model of the shield cutter in the current stratum to obtain the optimized wear rate model of the shield cutter in the current stratum, and predicting the wear loss of the shield cutter. According to the method, the abrasion loss of the shield cutter can be accurately predicted, and a project manager can more scientifically formulate a construction scheme.

The invention provides a wear-resistant coating and a preparation method thereof, relates to the technical field of air bearings, and solves the technical problems that an existing air bearing coating is large in friction coefficient, insufficient in high temperature resistance, large in wear-resistant weight loss value and incapable of meeting the requirement for long start-stop service life. According to the wear-resistant coating, alcohol-soluble silane resin and high-temperature-resistant resin in a specific proportion are used as binder matrixes, lubricating wear-resistant fillers such as molybdenum disulfide and polytetrafluoroethylene are compounded, and a solvent and assistant system is optimized. The coating provided by the invention has the characteristics of low friction, high wear resistance and high temperature resistance, and can meet the use requirements of the air bearing under severe working conditions.

The invention discloses an antibacterial and wear-resistant functional integrated PP plastic part for an automotive trim and a preparation method of the antibacterial and wear-resistant functional integrated PP plastic part, and belongs to the technical field of automotive trim materials. The plastic part is composed of a modified PP matrix, a coated antibacterial system, a synergistic wear-resistant system and an auxiliary agent, the modified PP matrix is a homopolymerized PP and copolymerized PP blend, the antibacterial system is coated and compounded by nano-silver-zinc and maleic anhydride grafted PP, and the wear-resistant system is formed by synergism of modified talcum powder and polyolefin wax micro-powder. The preparation method comprises the steps of antibacterial agent pretreatment, premixing, blending extrusion and injection molding. The antibacterial rate is larger than or equal to 99%, the 200,000-time friction wear loss is smaller than or equal to 0.04 g, the antibacterial rate after 800-time friction is still larger than or equal to 96%, meanwhile, the notch impact strength is larger than or equal to 12 kJ / m < 2 >, the VOC release amount is smaller than or equal to 0.4 mg / m < 3 >, the problems that an existing PP interior trim part is poor in antibacterial dispersion and unbalanced in wear resistance and toughness are solved, and the PP interior trim part is suitable for high-frequency contact interior trim parts.

The invention discloses a multipurpose testing device and method suitable for medium and large-size centripetal spherical plain bearings. The device is mainly composed of a base, a test bearing device, an axial loading assembly and a radial loading assembly, wherein the test bearing device, the axial loading assembly and the radial loading assembly are installed on the base. Wherein the test bearing device integrates a test base, a transmission rotating shaft, a front-middle-rear three-section type supporting assembly, a to-be-tested bearing assembly, a torque sensor and a wear loss measuring assembly; the axial loading assembly and the radial loading assembly can operate independently and can also work cooperatively, and the combined load can be applied to the bearing accurately. The device has the basic advantages of being stable in structure and high in bearing capacity, can simulate complex combined load working conditions, achieves multi-parameter real-time monitoring, can be adapted to tests of medium and large radial spherical plain bearings of various specifications, and is of great significance in promoting research and development and performance verification of high-end spherical plain bearings.

The invention discloses an equipment key component wear prediction method based on multi-physical model fusion, and relates to the technical field of equipment key component wear prediction, and the method comprises the steps: firstly constructing a plurality of physical wear models representing the wear loss evolution under processing parameters in the cutting process of an equipment key component; a plurality of physical wear models are integrated into the same physical information neural network (PINN) in parallel, so that each physical wear model can reflect the wear extent evolution of the key parts of the equipment under any processing parameter, and the weight of each empirical formula is adaptively adjusted through an attention mechanism; according to the method, a multi-physical wear model fused physical information neural network model is formed, and the model can consider the influence of different processing conditions such as cutting speed, feed rate and cutting depth on the wear of the key parts of the equipment at the same time, so that the model can perform high-precision prediction on the wear loss of the key parts of the equipment under complex working conditions.

A durable lubricating and cooling fluid for an electric motor system including an auxiliary pumping mechanism. The fluid includes a lubricating base oil, a sulfur system, a nitrogen system, and a phosphorous antiwear system. The lubricating and cooling fluid includes selected amounts of sulfur, nitrogen, and phosphorus provided by the system to provide acceptable wear and friction performance, electrical conductivity, and the ability to minimize wear loss of pumping components making the fluid suitable for use in electric motor system.

The application belongs to the technical field of alloy materials, and relates to a Cr-Fe alloy layer for prolonging the service life of a barrel and a preparation method thereof. The Cr-Fe alloy layer comprises Cr: 45-85wt%, Fe: 14-54wt%, C: 0-1.2wt%, and O content is less than or equal to 0.3wt%; the Cr-Fe alloy layer is prepared by laser processing, the microstructure is mainly BCC phase, and 3-8% of Cr 23 strengthening phase is uniformly precipitated; the Cr-Fe alloy layer is metallurgically combined with the barrel substrate, the surface Vickers hardness is 400-600HV, and the mass loss is less than or equal to 0.01g in 500 high-temperature erosion wear cycle tests. The Cr-Fe alloy layer with specific components is formed by optimizing laser processing parameters, microcracks of the hard chromium plating layer are effectively repaired, the high-temperature erosion wear loss rate is reduced, and the service life of the barrel is prolonged.

The invention relates to the technical field of bearing wear prediction, and particularly discloses a bearing wear life prediction method and analysis system.In the bearing wear simulation analysis process, wear loss, working conditions, simulation operation time and bearing geometric parameters are recorded under each time step length of simulation; further introducing a deep neural network model to carry out embedded coding and multivariable correlation learning on the simulation offline data of each time point so as to capture the bearing wear characteristics of each time point, and then carrying out dynamic propagation coding based on time dimension on the bearing wear characteristics of each time point. Therefore, the dynamic evolution rule of the bearing wear is excavated, and the intelligent prediction of the wear life of the bearing is realized. The method not only considers the real-time state of bearing wear, but also realizes continuous monitoring and dynamic analysis of the wear state of the bearing, so that the accuracy and reliability of prediction of the wear life of the bearing can be effectively improved.

The utility model discloses a kind of distributed detection combination jaw plate, including jaw plate body, data collection module, computing module, multiple first strain gauges and multiple second strain gauges, multiple first strain gauges are scattered and attached to the back of jaw plate body, the back of jaw plate body is scattered and is equipped with multiple bosses, multiple second strain gauges are attached to the side of multiple bosses, each first strain gauge and each second strain gauge are connected with data collection module, data collection module is connected with computing module, computing module can carry out wear loss calculation according to the data collected by data collection module, so wear loss obtained can be judged whether it needs to be replaced jaw plate body, and will not be affected by the movement of jaw plate body in the work of crusher and dust, can timely and accurately reflect the wear condition of jaw plate body. The utility model discloses a kind of jaw crusher including above-mentioned distributed detection combination jaw plate.

The invention discloses a high-pressure roller mill wear prediction and service life evaluation method based on DEM-FEM coupling simulation. The method comprises the following steps: constructing a roller mill simplified model through modeling software; the method comprises the following steps: simulating crushing and contact behaviors of grinding material particles based on a discrete element method (DEM), and quantifying interaction between the particles and interaction between the particles and a roller surface by adopting a Hertz-Mindlin contact model and a Tavaries crushing model; analyzing stress and deformation characteristics of a roll shaft structure based on a finite element method (FEM), mapping particle contact force output by discrete elements into a distributed load of a finite element model by utilizing a mechanical equilibrium equation, and solving roll shaft contact stress, strain and plastic deformation distribution; and calculating the instantaneous wear loss based on an Archard wear model, converting the instantaneous wear loss under multiple working conditions into a damage index in combination with a linear cumulative damage theory, and judging the service life of the roller surface when the total damage index reaches a threshold value. According to the invention, accurate prediction of roller surface wear and scientific evaluation of service life under the action of multiple working conditions are realized.

The application provides a preparation method of an AlTiN composite coating and a coated cutter, and belongs to the technical field of cutter blade coating. The application first performs first arc ion plating of a TiN transition layer on the surface of a base body, so as to improve the bonding force between the base body and the AlTiN coating, then performs second arc ion plating of an AlTiN coating, and controls the target current of the second arc ion plating, so as to enable the (200) preferred orientation of the crystal face structure of the AlTiN coating, the target material has a suitable melting speed and a relatively uniform melting, the droplet content is reduced, the droplet peeling and crack generation in the use process are avoided, the coating peeling is avoided, and the service life of the base body is improved. The wear loss of the coating prepared by the preparation method is less than or equal to 0.143 mm after milling for 15 min, the wear loss is less than or equal to 0.185 mm after milling for 30 min, and the wear loss is less than or equal to 0.225 mm after milling for 45 min.

The application discloses a preparation method of a wear-resistant and corrosion-resistant composite coating on a titanium alloy surface. The titanium alloy substrate is subjected to laser fusion treatment to prepare laser fusion TiN, and particle reinforced metal-based powder is used to prepare a particle reinforced metal cladding layer on the titanium alloy surface through laser cladding. The reinforcing particles are cBN, TiN, TiB2 or CrB2 particles, and the metal base is a high-entropy alloy of NiCr, CoCr, CoCrFeNiTi or AlCrFeNiTi. In the wear-resistant and corrosion-resistant composite coating prepared on the titanium alloy surface, the heat stress in the cladding layer during the subsequent laser cladding process is relieved, the forming quality of the cladding layer is excellent, and the composite coating has excellent wear resistance. The wear loss is 2.02*10 ‑8 g / N*m, which is only 6.2% of the substrate wear loss. The substrate surface is subjected to laser fusion treatment, and the negative influence of the composite coating on the tensile strength and thermal stress zone of the substrate is effectively relieved.

The application discloses a high-thermal-conductivity and high-hardness plastic mold steel and a preparation method thereof. In view of the low thermal conductivity, insufficient hardness and poor wear resistance of the existing plastic mold steel, the application realizes the optimization of the comprehensive performance of the material by directional modification of nano silicon nitride, titanium alloy powder and graphene, in combination with a specific component proportion and a preparation process. The mold steel is composed of a 42CrMo steel base body, modified nano silicon nitride, modified titanium alloy powder, modified graphene and alloy elements such as vanadium iron and niobium iron. The preparation process comprises the steps of batching, mixing, vacuum induction smelting, forging, heat treatment and finishing. Through the synergistic effect of the modified material and the alloy elements, the hardness of the mold steel reaches 62-65HRC, the thermal conductivity is 48-55W / (mK), the tensile strength is 1250-1300MPa, the impact toughness is 25-28J / cm 2 , and the wear loss is 6.8-8.5mg, the interface compatibility of the reinforced phase and the base body is improved, and the balance among the thermal conductivity, the hardness, the toughness and the wear resistance is realized.

The invention provides a plunger pair abrasion process test method considering three-body abrasion caused by pollution particles, and belongs to the field of fluid pressure and the field of abrasion friction tests. According to the method, on the basis of a single plunger pair test bed with controllable pollution degree, the oil pollution degree is monitored in real time through an online particle counter, the oil pollution degree is regulated and controlled through a reversing valve and a filter, so that the test oil pollution level is stabilized in a set range, and a plunger pair abrasion test is carried out under the condition; and through staged wear morphology and wear loss measurement and analysis, a wear evolution rule of adding the pollution particles under a specific pollution condition is obtained. According to the invention, on the premise of not being interfered by other friction pairs, quantitative evaluation and comparative research of single-friction plunger pair pollution three-body wear can be realized, the influence of pollution particles on the wear process is explored, and a test method is provided for pollution control, material and surface engineering anti-attrition and wear-resistant verification and life evaluation.

The application relates to the technical field of polyethylene, and discloses a high-strength wear-resistant plastic material and a preparation method thereof, wherein 50-70 parts of polyethylene resin, 3-8 parts of polybutadiene grafted polysiloxane, 6.2-10.7 parts of fillers, 30-50 parts of silicone rubber and the like are mixed and vulcanized to obtain the high-strength wear-resistant plastic material. The polybutadiene grafted polysiloxane plays a role in compatibilizing the polyethylene and the silicone rubber, improves the interfacial compatibility of the polyethylene and the silicone rubber, significantly improves the tensile strength and impact strength of the plastic material, the compatibility of the silicone rubber and the polyethylene is good, the silicone rubber is uniformly dispersed in the polyethylene matrix, the friction and wear loss of the polyethylene is reduced, and the wear resistance is improved.

The embodiment of the invention provides a method and system for predicting the abrasion loss of a grinding roller of a medium-speed coal mill, and the method comprises the steps: collecting the configuration parameters of the medium-speed coal mill and the periodic operation parameters of the grinding roller based on the microcosmic cutting mechanism of the grinding roller and coal particles, and enabling the periodic operation parameters to be collected in the periodic discontinuous contact process of the grinding roller and the coal particles; on the basis of configuration parameters and the periodic operation parameters of the medium-speed coal mill, the normal load, the slippage distance and the wear coefficient of the grinding roller are calculated, and the slippage distance is obtained through calculation on the basis of the periodic wear conditions of the multiple continuous wear points; based on the configuration parameters of the medium-speed coal mill, the normal load, the slippage distance and the wear coefficient, establishing a wear loss calculation model; and inputting the current running parameters, collected in real time, of the grinding roller into the abrasion loss calculation model, and outputting an abrasion loss prediction result of the grinding roller. According to the invention, continuous prediction of the abrasion loss of the grinding roller can be realized, and the hysteresis defect of traditional manual measurement is overcome.

The invention discloses a shield cutter wear prediction method and system based on dynamic load and frictional work, and the method comprises the steps: obtaining parameters and operation parameters of a to-be-predicted shield cutter, inputting the parameters and operation parameters into a pre-trained wear prediction model, and obtaining the normal dynamic load, slippage and wear loss of the cutter, thereby achieving wear prediction; a training process of the wear prediction model comprises the following steps: step 1, based on different parameters of the shield cutter and shield operation parameters, adopting finite element simulation to obtain a normal dynamic load and a slip amount of the corresponding shield cutter, further calculating to obtain friction work in the shield operation, and adopting discrete element wear simulation to obtain a wear amount of the friction work to the cutter; 2, repeating the step 1 to obtain a plurality of groups of normal dynamic loads, slippage amounts and wear amounts corresponding to different shield cutter operation parameters, and constructing a training set after preprocessing; and 3, training a neural network by using the training set to obtain a wear prediction model meeting training requirements.

The invention belongs to the technical field of double-phase composite titanium-based coatings, and relates to an Al2O3-TiB2 double-phase composite titanium-based coating and a preparation method thereof. The Al2O3-TiB2 double-phase composite titanium-based coating is prepared from the following raw materials: titanium-based powder, Al2O3 powder and TiB2 powder; based on the total weight of the raw materials of the Al2O3-TiB2 double-phase composite titanium-based coating, the content of the TiB2 powder is 25-50 wt%, the content of the Al2O3 powder is 15-25 wt%, and the balance is the titanium-based powder. According to the formula of the high-proportion Al2O3-TiB2 double-phase composite titanium-based coating, the hardness of the double-phase composite titanium-based coating prepared through laser cladding according to the formula can be 3 times that of a TC4 substrate, the abrasion loss of the double-phase composite titanium-based coating can be 0.12 times that of the TC4 substrate, and the double-phase composite titanium-based coating has good abrasion resistance and high hardness. The preparation method provided by the invention is simple and operable, and can realize large-scale production.

The invention discloses an unmanned vehicle tire replacement method and device and an unmanned vehicle, and belongs to the field of unmanned driving. The tire replacement method comprises the steps that after the remaining life of each tire on the unmanned vehicle is obtained, the life difference degree of the unmanned vehicle is determined based on the remaining life, and when the life difference degree is larger than the corresponding preset life difference degree, a tire replacement decision is triggered. According to the scheme, whether the tire is replaced or not is judged according to the service life difference degree, the problem that tire replacement and the like completely depend on subjective judgment in a traditional tire management technology is solved, and when the service life difference degree is larger than the corresponding preset service life difference degree, the tire replacement time is shortened, and the tire replacement efficiency is improved. The tire replacement decision is triggered at the moment, so that the small wear loss difference between the tires can be ensured, and the actual service life of the tires is prolonged.

A durable lubrication and cooling fluid for an electric motor system including an auxiliary pumping mechanism. The fluid comprises a lubricating base oil, a sulfur system, a nitrogen system, and a phosphorus antiwear system. The lubricating and cooling fluid contains selected amounts of sulfur, nitrogen, and phosphorus provided by the system to provide acceptable wear and friction performance, electrical conductivity, and ability to minimize wear loss of pumping components, making the fluid suitable for use in an electric motor system.

Method for the collaborative control of a multi-channel braking system of a mining hoist, wherein the control method is based on the multi-channel braking system, the multi-channel braking system comprises eight channels, a disc brake (3) is arranged on each of the channels, and eight disc brakes (3) are symmetrically distributed on both sides of a brake disc (2), wherein each of the disc brakes (3) is controlled by an independent proportional control valve (4), and an oil pressure sensor (5) and a displacement sensor (6) are arranged on each of the disc brakes (3), and the control method comprises the following steps: Step S1, respective measurement, using the displacement sensor (6), an initial position information x is0 and x iy0 a brake shoe and an initial thickness Δ i0 the brake shoe in a case in which each of the disc brakes (3) is fully released or compressed, where i denotes an i-th disc brake (3); Step S2, recording, using the displacement sensor (6), a position x is the brake shoe with the disc brake fully released (3) before a brake command is issued, and a position x iy the brake shoe with the disc brake fully compressed (3) after the braking command has been issued when a conveying system is put into operation in practice; Step S3, calculating an abrasion loss Δ i the brake shoe and a total abrasion loss Δ sum = ∑ i = 1 n Δ i of the brake shoe in the brake system according to the measured position information of the disc brake (3), where n denotes a number of disc brakes (3) and an average wear loss of the brake shoe is defined as Δ avg = ∑ i = 1 n Δ i / n This refers to calculating a percentage share λ. avgof the average wear loss of the brake shoe in relation to the total wear loss of the brake shoe according to the physical quantities, wherein a calculation formula for the percentage share λ avg is: λ avg = Δ avg Δ sum = 1 n , Step S4, Calculating a percentage λ i of an abrasion loss of the brake pad of the i-th disc brake (3) in relation to the total abrasion loss and an abrasion loss rate η i the brake shoe of the i-th disc brake (3), wherein the calculation formulas for the percentage λ i and the wear loss rate η i ring: λ i = Δ i Δ sum = ( xiy − xis ) − ( xiy 0 − xis 0 ) ∑ i = 1 n Δ i , η i = Δ i Δ i 0 ; Step S5, Subdivision of a wear loss degree of the brake pad of the disc brakes (3) by comparison of λ i with λ avgin three abrasion loss levels; classification in the case of λ i ≤ k1λ avg , as abrasion loss level I, classification in the case of k1λ avg < λ i ≤ k2λ avg , as abrasion loss level II and classification in the case of λ i > k2λ avg , as abrasion loss stage III; application of three different distribution agents to a required total braking force F ref corresponding to the different wear loss levels of the brake shoe of the disc brakes (3), where k1 and k2 each denote coefficients for subdividing the wear loss level of the brake shoes; Step S6, with a total braking force F sum , which follows a principle of equal distribution, setting a braking force distribution value F i the disc brakes (3) as F i = F sumn in a case where the wear loss level of the brake shoe of the disc brakes (3) is wear loss level I; Step S7, with a total braking force F sum , which follows a proportional distribution principle, determining the braking force distribution value F i the disc brakes (3) as F i = F sum ⋅ Δ i 0 − Δ i ∑ i = 1 n ( Δ i 0 − Δ i ) in a case where the wear loss level of the brake shoe of the disc brakes (3) is wear loss level II; Step S8, with a total braking force F sum , which follows an index distribution principle, determining the brake force distribution value F i the disc brakes (3) as F i = F sum ⋅ e ( Δ i 0 − Δ i ) ∑ ine ( Δ i 0 − Δ i ) in a case where the wear loss level of the brake shoe of the disc brakes (3) is wear loss level III; Step S9, Implementing a closed tracking control of the disc brake (3) for the brake force distribution value F controlled by a proportional directional control valve (4). iusing a pressure signal feedback from the oil pressure sensor (5) arranged on an oil inlet chamber of the disc brake (3), after a distribution of brake pressure for the disc brake (3) has been completed; and Step S10, completing a braking task, implementing a dynamic distribution of the braking force and repeating steps S1 to S9 in a case where a subsequent braking operation is required.

The invention provides a tool wear prediction method based on a multi-source information weighted fusion convolutional neural network, and the method comprises the following steps: obtaining four RGB three-channel wavelet time-frequency images in a data preprocessing module, extracting features from each time-frequency image through a regression convolutional neural network, and carrying out the regression to obtain a tool wear amount, and finally, in a weighted average module, carrying out weighted average on the obtained four tool wear losses, so as to obtain the average wear loss of the tool. According to the method, the wavelet time-frequency image is utilized, the one-dimensional signal is converted into the two-dimensional image, the two-dimensional convolutional neural network can be directly utilized for feature extraction and recognition, compared with a traditional machine learning method, the process of manual feature extraction is not needed, feature extraction and abrasion loss prediction are carried out on multi-source data through the convolutional neural network, and the accuracy of feature extraction and abrasion loss prediction is improved. And then weighted averaging is carried out on the predicted abrasion loss, so that the prediction precision is improved.

The invention discloses a compatible wavelength division equipment optical module plugging wear analysis method and system, and relates to the technical field of optical communication equipment operation and maintenance. The method comprises the following steps: executing an optical module plugging operation through an automatic plugging device, and synchronously collecting multi-dimensional force feedback data and interface positioning information; converting the force feedback data into multi-directional wear coefficient distribution by using a pre-trained wear coefficient mapping model; based on the wear coefficient distribution data, calculating the total wear distribution and the total wear loss of each interface through path segmentation integration and direction accumulation; according to a preset abrasion judgment threshold, abrasion judgment is conducted in combination with the dimension total abrasion amount and the most unfavorable eccentric abrasion amount, and early warning information containing the abrasion type and the abrasion position is generated; and when the early warning is eccentric wear, an automatic device is driven to carry out targeted correction. According to the invention, quantitative monitoring, accurate prediction and active maintenance of optical module interface wear are realized, and the operation and maintenance intelligence level and the equipment reliability are significantly improved.

Long-life lubricating and cooling fluid for an electric motor system with an auxiliary pump mechanism. The fluid contains a lubricating base oil, a sulfur system, a nitrogen system, and a phosphorus anti-wear system. The lubricant and cooling fluid contains selected amounts of sulfur, nitrogen, and phosphorus, supplied by the system, to ensure acceptable wear and friction properties, electrical conductivity, and the ability to minimize wear loss in pump components, thus making the fluid suitable for use in an electric motor system.

The utility model discloses a high-speed sliding friction and wear testing machine for a bearing gasket, which relates to the technical field of friction and wear tests and comprises an axial impact device, a friction shaft, a test bearing, a tool clamp, a supporting bearing seat, a radial loading device, a wear loss measuring device and a concentric auxiliary device. The radial loading device is arranged on one side of the tool clamp, the abrasion loss measuring device is installed between the tool clamp and the supporting bearing seat, the concentric auxiliary device comprises a guide plate and a lifting mechanism, the guide plate and the lifting mechanism are connected, the tool clamp is connected with the guide plate, and the lifting mechanism is connected with the guide plate. The guide plate is driven to ascend and descend through the lifting mechanism, the tool clamp is driven to ascend and descend, and the tool clamp and the supporting bearing seat are coaxial. The height of the tool clamp can be adjusted, and the tool clamp is high in applicability, easy to disassemble and assemble, simple in structure and convenient to operate.