67 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 a tool wear loss prediction method based on physical information self-supervised learning under the condition of few marks, and belongs to the technical field of numerical control machining center tool wear state prediction. Comprising the steps of collecting monitoring signals such as cutting force, vibration and acoustic emission in the machining process; carrying out preprocessing operation of interception and Z score standardization on each sample; a mixed residual convolutional neural network tool wear monitoring model is designed, and information fusion and high-dimensional representation extraction are carried out on multi-source sensor signals; pre-training the tool wear monitoring model by using the auxiliary task I, and guiding the model to extract the invariance feature of the signal; according to the method, under the condition of scarce marked data, high-precision prediction and excellent generalization ability of tool wear are realized, the fluctuation amplitude of prediction errors can be effectively reduced, and the stability of a prediction result is kept. According to the method, a small amount of mark data is effectively utilized in model training, the stability and reliability of tool wear monitoring are ensured, and the requirements for monitoring precision and adaptability in actual production are met.

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.

An urban rail train pantograph abrasion loss lightweight prediction method based on twin data is used for urban rail train pantograph abrasion loss prediction. The invention provides a lightweight model which is high in calculation efficiency and simple in structure aiming at the problem of wear loss prediction of a pantograph carbon contact strip. According to the model, the prediction robustness is ensured, and meanwhile, the wear loss prediction of the pantograph carbon contact strip can be quickly and accurately realized. In addition, twin data of pantograph abrasion are calculated through cyclic simulation by means of material parameters of the carbon slide plate, the weight and offset of the model are adjusted and optimized, and the prediction precision is improved. According to the method, firstly, collected wear data are preprocessed and then input into a lightweight network for pre-training; and then, performing parameter tuning on the pre-trained lightweight model by using twin data, and finally storing the adjusted parameters to complete prediction of the wear life. The method achieves the precise prediction of the wear loss of the pantograph carbon slide plate, and has the advantages of being small in parameter quantity and short in operation time.

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 method for real-time wear monitoring and wear loss calculation of a composite material bearing, which comprises the following steps: acquiring the change of a resistance value monitored by a lubrication state identification sensor in real time, identifying a wear state according to the change of the resistance value, and calculating the wear frequency according to the wear state; acquiring the change of the resistance value of the life prediction sensor monitored by the life prediction sensor in real time, establishing a curve model between the abrasion loss and the resistance value of the life prediction sensor, and calculating the average abrasion loss and the total abrasion loss of each start and stop according to the curve model and the resistance value change of the life prediction sensor; acquiring the thickness wear condition of the resistance layer of the end-of-life sensor collected by the end-of-life sensor, calculating the residual wear times of the whole life cycle corresponding to the residual wear loss according to the set end-of-life thickness, the average wear loss and the total wear loss, and predicting the residual service life of the bearing bush according to the residual wear times. The method can calculate the abrasion loss in real time, can monitor the residual service life of the bearing bush in real time, and is high in prediction accuracy.

The utility model discloses a chip grinding clamp, which relates to the technical field of chip production, and adopts the technical scheme that the chip grinding clamp comprises a base sleeve, a top seat is arranged above the base sleeve, a bottom plate is arranged in the base sleeve, and a plurality of clamping components are arranged in the bottom plate; the clamping assembly is used for clamping chips of various different specifications, a fixing disc is arranged above the bottom plate, a moving assembly is arranged above the fixing disc, and a cover plate used for covering the surface of the base is arranged on the moving assembly. The clamped chip is protected in the clamping process, the situation that the side edge of the chip is damaged due to the fact that the clamping force is too large and the clamping face is too hard is avoided, on one hand, the grinding rate and the sampling efficiency of chip sampling and grinding are improved, on the other hand, the grinding quality of the chip is improved, and the grinding loss of the chip is reduced.

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 sheet material according to the present invention has a polymer elastic body and a fibrous base material comprising ultrafine fibers, wherein the average single fiber diameter of the ultrafine fibers is 0.1 μm to 10.0 μm, the polymer elastic body has a hydrophilic group and an N-acylurea bond and / or an isourea bond, and the following conditions are satisfied: the longitudinal stiffness, in accordance with method A (45° cantilever method) in the text of “8.21 Stiffness” of JIS L 1096:2010 “Testing Methods for Woven and Knitted Fabrics”, is 40 mm to 140 mm; and after immersion for 24 hours in N,N-dimethylformamide, the following are obtained in wear testing using a pressing load of 12.0 kPa and 20,000 friction cycles in accordance with method E (Martindale method) in the text of “8.19 Wear Strength and Friction Discoloration” of JIS L 1096:2010 “Testing Methods for Woven and Knitted Fabrics”: a grade of at least 4 and a wear loss of not more than 25 mg.

The embodiment of the invention provides a vibration working condition abrasion calculation method for a rotary mechanical seal, and relates to the field of mechanical seals. The method comprises the following steps: establishing a rotary mechanical seal physical model, and abstracting the rotary mechanical seal physical model into a mass-spring-damping system; performing kinetic analysis on a static ring of the rotary mechanical seal; carrying out random vibration excitation and sinusoidal vibration excitation equivalent analysis on a static ring of the rotary mechanical seal; and the abrasion loss of the static ring can be obtained according to the Archard abrasion. The problems that an existing method depends on engineering experience or a product direct test to give out a wear loss result, theoretical analysis is lacked, and accuracy is not high are solved. According to the method, the influence of random vibration excitation is equivalent to sine machine vibration excitation, the contact force of the sealing ring is obtained according to kinetic analysis, and finally the distance abrasion loss is obtained.

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 invention belongs to the technical field of bearing wear analysis, and provides a sliding bearing wear analysis method based on a wear mechanism and an adaptive grid algorithm, and the method comprises the steps: S1, obtaining the structure, material and operation condition information of a sliding bearing; s2, establishing a sliding bearing finite element model, and performing grid division on the model by adopting an ALE adaptive grid algorithm; s3, establishing a sliding bearing wear sub-model; s4, associating the sliding bearing wear sub-model with the main model in a sub-program form; s5, outputting a displacement field of each grid node of the wear contact surface; s6, a wear loss distribution field graph is generated based on the displacement field of each grid node of the wear contact surface, and a wear concentration area is assessed. A sliding bearing surface wear loss calculation model is combined with an ALE self-adaptive grid algorithm, and a sliding bearing model is obtained through fitting of the relation between the wear rate and the contact force obtained through a test; and simulating the contour change caused by wear on the bearing surface in the model through an ALE adaptive grid algorithm, and predicting the friction damage of the sliding bearing.

The present application relates to an artificial leather composition and an upper for an article of footwear comprising the artificial leather composition. A variety of plates for footwear are provided, the plates comprising a polyolefin resin. Sole structures and articles of footwear formed therefrom are also provided. Methods of making the polyolefin resin compositions, panels, sole structures, and articles of footwear are also provided. In some aspects, a polyolefin resin composition includes an effective amount of a polymeric resin modifier. The effective amount may be an amount effective to allow the resin composition to pass a refractive test and particularly pass the refractive test without significant changes in wear loss. In some aspects, the resin composition also includes a clearing agent to improve the optical transparency of the sheet. In some aspects, the panel includes a textile disposed on one or both of a first side and a second side of the panel. The textile may provide improved bonding of the panel with other components such as a sole layer or upper.

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 invention provides a gear double-face abrasion method based on a UMESHMOTION subprogram secondarily developed on the basis of ABAQUS. According to the method, an Archard wear model or an energy dissipation model and other wear models are combined with a finite element-based gear contact model, so that quantitative calculation can be accurately carried out on gear wear, and a simulation method capable of rapidly and effectively carrying out accurate quantitative calculation on different gear types, loads, materials and working conditions of high-performance gear wear is provided. Through a subprogram UMESHMOTION, based on an Archard wear model or an energy dissipation model and other wear models, according to the wear loss of a gear pair contact area, grid node movement is carried out on the gear pair contact area to realize gear pair wear simulation. By means of the method, accurate quantitative calculation and process processing can be conducted on high-performance gear abrasion in a targeted and accurate mode, repeated finite element pretreatment steps are avoided, the finite element simulation efficiency is greatly improved, and the time cost is reduced.

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 invention relates to the technical field of shearing tool materials, and discloses a blade material for a shearing machine and a preparation method of the blade material. The blade material for the shearing machine comprises the following chemical component raw materials: 5.0%-8.0% of Cr, 5.0%-8.0% of Co, 2.0%-3.0% of C, 0.5%-1.5% of Mn, 0.05%-0.1% of N and the balance of Fe. According to the blade material for the shearing machine, the Rockwell hardness can reach HRC65, the 60min abrasion weight loss can reach 104 mg, and the blade material has high mechanical performance and abrasion resistance and can be applied to preparation of shearing blades.