2890 results about "Elastic modulus" patented technology

The invention relates to the technical field of detection, and discloses a polyurethane material performance detection method, which comprises the following steps: clamping a material to be detected on a loading platform, cooperatively controlling and simulating the stress effect of a target application scene, and capturing a time sequence image of the microstructure of the surface of the material by adopting a visual unit; synchronously acquiring internal strain distribution data through a distributed strain sensing array, acquiring a dynamic stress response spectrum in combination with a piezoelectric mechanical sensor, and generating a multi-modal deformation characteristic data set; performing crack density and texture orientation analysis on the time sequence image, extracting a crack growth rate and a direction consistency coefficient, and marking a strain concentration area; calculating an apparent elastic modulus attenuation rate based on the dynamic stress response spectrum, establishing a material performance degradation model, generating a dynamic flexible performance index through a weighted fusion algorithm, and performing graded evaluation on the material; material detection is upgraded from a single mechanical test to a multi-physics coupling intelligent evaluation system, and accurate and reliable detection support is provided for multiple application scenes.

Disclosed in the present invention is a foundation deformation calculation method based on numerical model stress extraction. First, a numerical model is established to calculate the vertical additional stress distribution and horizontal additional stress distribution of foundation soil, wherein the elastic modulus of the foundation soil is selected within a range of two to five times the compression modulus on the basis of engineering experience; a layer-wise summation method is used, in which layered settlement is directly calculated for a natural foundation, settlement in a reinforced zone and settlement in an underlying layer are both calculated for a composite foundation, and layered settlement amounts are superimposed and multiplied by a settlement empirical correction coefficient to obtain a final settlement amount; the projection of a horizontal displacement calculation point on the ground and a vertical soil column below the horizontal displacement calculation point are taken as a vertically placed finite elastic long beam, the cross section of the soil column is square, the side length of the soil column is preferably 0.1 m or below, the modulus of the beam is the same as that of the soil, one end is located in a ground surface plane, and the other end is located in a plane where a calculation depth is located; and a distributed load is dispersed into several concentrated loads, a foundation bed coefficient is determined on the basis of a specification, and the horizontal displacement of the calculation point is obtained by means of a beam-on-elastic-foundation method.

The invention discloses a deep learning-based intelligent identification method and system for rock and soil mechanical parameters, and aims to accurately identify the elastic modulus, strength parameter and permeability coefficient of rock and soil and support the decision and design of engineering projects under complex geological conditions. And starting from data demand analysis, determining a parameter identification target and planning a field test layout. A basic data set is constructed by comprehensively collecting and integrating multi-source data including laboratory and field test data, remote sensing information and the like. The data is pre-processed and analyzed to remove noise and explore associations between the data. The method comprises the following core steps: constructing a rock-soil mechanical model by using a deep learning algorithm, and realizing high-precision inversion of parameters by defining and optimizing an objective function. And verifying an inversion result and carrying out uncertainty analysis. According to the method, an analysis result is fed back to engineering design adjustment and decision support, and scheme optimization is achieved. The model and strategy are dynamically adjusted through continuous monitoring and real-time data, and safety and high efficiency of engineering implementation are guaranteed.

The invention provides a macroscopic finite element simulation analysis method and device for a sealing element considering plastic deformation, and belongs to the field of sealing element design. The method comprises the following steps: acquiring an engineering stress-strain curve of a plastic material in a compression state; converting the engineering stress-strain curve into a real stress-strain curve; determining a yield limit, and taking a strain point corresponding to the yield limit as a demarcation point of elasticity and plastic deformation; an elastic section of a real stress-strain curve is extracted, the elastic modulus is calculated, and the Poisson's ratio is obtained through axial and transverse strain measurement in a uniaxial compression test; a true stress-strain curve plastic section is extracted, and a multi-linear isotropic hardening model is established; constructing a complete elastic-plastic constitutive model covering the elastic deformation area and the plastic deformation area; the stress distribution, the strain response and the contact performance of the plastic sealing element in a compression deformation state are simulated. According to the method and the device provided by the invention, the problem that the result does not conform to the reality due to the fact that only elastic modulus and Poisson's ratio are used in existing sealing element simulation can be solved.

The invention relates to the technical field of bolt tightening, and provides an intelligent bolt tightening control method and system based on axial force measurement. Comprising the steps of collecting bolt identification and process parameter data, collecting temperature measurement data, and obtaining sound velocity compensation parameters and elastic modulus compensation parameters. And zero-load preloading data are collected and processed to generate zero-load baseline data, and a self-calibration model is obtained. Axial force data and ultrasonic echo data are collected, and an axial force fusion estimation result is obtained. And comparing an axial force fusion estimation result with target axial force data. And when in the target interval, fine twisting control is carried out based on model predictive control and a micro-stepping strategy, and the controllable damping unit is driven to carry out energy absorption and stopping. And acquiring an axial force fusion estimation result when the target axial force is reached, processing the data in the holding stage to obtain an axial force rebound check result, and if the axial force rebound check result exceeds the limit, performing secondary twisting control. According to the scheme, refinement and traceability of the bolt tightening process are achieved.

The invention discloses an underground pipe network construction drawing generation and verification method and system based on image recognition, relates to the technical field of construction drawing verification analysis, and solves the technical problem that in the verification process, detection of pipe network element integrity and space conflicts is not comprehensive and efficient enough. According to the method, extracted pipe network element data is compared with original design data element by element, verification is carried out from element types, number, attributes and other dimensions, whether a construction drawing is complete or not can be rapidly and accurately judged, missing or wrong elements can be found in time, and a minimum rectangular bounding box and a three-dimensional projection overlapping judgment algorithm are utilized to judge whether the construction drawing is complete or not. According to the method, the space conflicts among the pipe network elements can be efficiently detected, the conflict detection efficiency and accuracy are improved, the overlapped elements are classified according to the elastic modulus of the element material, the hard and non-hard overlapped elements are subjected to targeted analysis, whether design conflicts exist or not can be judged, and a more scientific basis is provided for design optimization.

The invention provides a data correction method and system combined with lattice structure additive manufacturing process characteristics, and the method comprises the steps: firstly employing a Newton iteration method, taking the radius of a pillar as a variable, optimizing the relative density of an iteration target and generating a lattice structure geometric model under the condition that a process constraint condition is satisfied, and extracting actual geometric parameters after forming through CT scanning, the elastic modulus is corrected through the pillar diameter deviation and the defect volume fraction, a compression failure mechanism is combined, a density-related failure criterion is introduced, a nonlinear relation with the relative density is constructed through specific energy absorption data, material plasticity parameters are inversely optimized, and a defect coupling evaluation model is constructed according to the surface powder sticking rate and the pillar diameter deviation. And establishing a Gaussian mixture model based on a stress-strain curve to screen out abnormal data, and finally fusing the parameters to construct a data correction model. The dot matrix structure design precision can be improved, and then a high-quality data basis is provided for performance prediction-structure design two-way feedback.

An electronic device may include a display, a cover layer overlapping the display, and a housing have housing sidewalls. An encapsulant material may surround at least part of the display and may be used to couple the cover layer to the housing sidewalls. A rigid outer material having a higher elastic modulus than the encapsulant material may also be used to couple the cover layer to the housing sidewalls. The rigid outer material may be a molded material that surrounds an outer perimeter of the encapsulant, or the rigid outer material may be a metal or plastic frame member having a C-shaped cross-section or other geometry. The display may overlap the housing sidewall. The encapsulant may absorb mechanical stresses on the cover layer to protect the display, whereas the rigid outer material may transfer mechanical stresses on the cover layer to the housing.

The invention provides an epoxy resin composition and application thereof, and the epoxy resin composition comprises the following components in parts by weight: 100 parts of epoxy resin, 30-200 parts of a curing agent, 30-100 parts of a flexibilizer and 1-100 parts of a filler, the toughening agent at least comprises a first toughening agent and a second toughening agent, and the glass transition temperatures of the first toughening agent and the second toughening agent are different. According to the epoxy resin composition, an adhesive film containing the epoxy resin composition is good in normal-temperature storage stability and high-temperature reactivity and can react quickly; the damping loss factor of the adhesive film in the range of 0-100 DEG C is low, the stability of the damping loss factor is good, the elastic modulus is high, and meanwhile, the adhesive film also has high toughness and peel strength.

The invention discloses an intelligent curing method and system driven by sensing of an internal temperature and humidity field of concrete. The intelligent curing method comprises the following steps that the surface tensile strength and the elastic modulus of the concrete of the same concrete mix proportion and different ages are obtained; according to the concrete maturity theory and the concrete surface tensile strength of different ages, a fitting function of the concrete surface tensile strength is obtained; predicting a fitting function through the elastic moduli of different ages and the elastic moduli; obtaining the inner surface control temperature difference of the concrete at different ages by utilizing the relationship between the concrete surface tensile strength and the concrete surface tensile stress and combining the fitting function of the concrete surface tensile strength and the elastic modulus prediction fitting function; and the concrete curing environment temperature and humidity are intelligently controlled according to the inner surface control temperature difference of the concrete of different ages. By dynamically determining the concrete curing temperature control index and combining with the humidity requirement, the on-off of the curing equipment is controlled, and the temperature and humidity of the concrete curing environment are intelligently controlled.

The invention discloses a rock mechanical parameter determination method based on a nanoindentation experiment, which comprises the following steps: S1, randomly selecting a small part of a target rock to carry out the nanoindentation experiment, and testing the elastic modulus, hardness and fracture toughness micromechanical parameters of the target rock; s2, constructing a multi-scale structure model of the target rock by considering internal cracks, pores, organic matters and proportion factors of each mineral component of the target rock based on the micromechanics parameters obtained by the nanoindentation experiment; s3, on the basis of the multi-scale structure model of the target rock, performing multi-scale transformation by utilizing a reformed group theory to obtain a simplified structure model of the target rock, and calculating mechanical parameters of the simplified structure model; and S4, carrying out a macromechanics experiment on the target rock, calculating mechanical parameters, and then checking the reliability of the method for calculating the mechanical parameters of the target rock based on the nanoindentation experiment. According to the method, the efficiency and precision of calculating the macromechanical parameters of the rock can be improved.

The invention belongs to a complex lithofacies shale reservoir structure weak plane mechanical parameter determination method and system, and belongs to the field of unconventional shale oil and gas reservoir transformation. The method comprises the following steps: carrying out a nanoindentation experiment test on a rock core sample containing a structural weak plane to obtain a macroscopic uniaxial elastic modulus and macroscopic fracture toughness of the structural weak plane; constructing a particle flow discrete element numerical model; on the basis of construction of the particle flow discrete element numerical model and the macroscopic uniaxial elastic modulus and the macroscopic fracture toughness of the structure weak plane, particle flow micromechanical parameter calibration is carried out; and obtaining the mechanical parameters of the weak plane of the structure based on particle flow microscopic mechanical parameter calibration. According to the method, the compressive strength, the elastic modulus, the Poisson's ratio, the cohesion, the internal friction angle, the fracture toughness and the tensile strength of the structure weak plane can be rapidly and accurately predicted, the defect that an existing indoor physical experiment device cannot measure mechanical parameters of a non-standard sample is effectively overcome, and input parameters are provided for fine simulation of hydraulic fracturing of a complex lithofacies shale reservoir.

The invention discloses a rock crack evolution numerical simulation method based on data analysis, and relates to the technical field of rock mechanics engineering numerical simulation, and the method comprises the following steps: S1, obtaining microstructure data of a target rock, including a CT scanning image, an SEM image and mineral energy spectrum data; and S2, constructing a spatial distribution dynamic mechanical parameter field based on the microstructure data. According to the rock crack evolution numerical simulation method based on data analysis, a dynamic mechanical parameter field driven by a microstructure is constructed, so that the inherent defect that rock is simplified into a homogeneous material in a traditional method is overcome; microscopic characteristics such as mineral hardness gradient, grain boundary strength distribution and pore morphology are effectively quantified into an elastic modulus field, a tensile strength field and a fracture energy field which are spatially distributed, so that the numerical prediction of crack initiation and expansion truly reflects the inherent heterogeneity of the rock for the first time.

The invention discloses a manipulator clamping force control method and device based on motor driving, and relates to the field of intelligent manipulators. Comprising the following steps that the mass of a to-be-clamped object is obtained, and basic friction force is calculated; collecting object shape characteristic parameters such as the maximum boundary length, the outer surface area and the volume, and calculating a shape influence coefficient; then, acquiring surface characteristic parameters such as average curvature, irregularity and projection area, calculating a surface concave-convex coefficient, and generating a shape complexity index in combination with the shape influence coefficient; then, acquiring material characteristic parameters such as hardness and elastic modulus, determining and correcting a basic friction coefficient, and calculating friction force; and finally, the instantaneous speed of the clamping task of the manipulator is obtained, the impact load is calculated, the basic friction force is corrected based on the parameters, the accurate clamping force is obtained, and therefore the accurate control over the clamping force of the manipulator is achieved. According to the method, the clamping effect and safety are improved, and the method is suitable for various clamping scenes.

The invention relates to the technical field of construction and the technical field of software, and discloses a fabricated structure evaluation method and device based on a toughness value and carbon emission, and the method comprises the steps: adding the damage volumes of all interfaces, and obtaining the damage amount of a fabricated structure; when the damage amount of the fabricated structure is within the damage range, a repair scheme of the fabricated structure is obtained, and the carbon emission amount of the repair scheme is generated; according to the length of each interface, the inertia moment of the complete part of each interface, the moving distance of the neutral axis of each interface and the contact surface rigidity model, the contact surface rigidity of the fabricated structure is generated, and according to the contact surface rigidity of the fabricated structure, the material elasticity modulus of the fabricated structure and the toughness model, the toughness value of the fabricated structure is generated. And performing specific value calculation on the carbon emission of the repair scheme and the toughness value of the fabricated structure to generate an evaluation value of the repair scheme. According to the invention, the evaluation efficiency of the repair scheme of the fabricated structure can be improved.

The present disclosure relates to an apparatus and method for measuring an elastic modulus. The method of measuring an elastic modulus of a specimen including a conductive material and an insulating material with which a surface of the conductive material is coated includes a first bending test operation of applying a first load to a first surface of the specimen, a second bending test operation of applying a second load to a second surface that meets the first surface of the specimen, a first calculation operation of calculating a first bending elastic modulus of the specimen based on a first value measured in the first bending test operation, a second calculation operation of calculating a second bending elastic modulus of the specimen based on a second value measured in the second bending test operation, and a third calculation operation of calculating an elastic modulus of the conductive material and an elastic modulus of the insulating material based on the calculated first bending elastic modulus and the calculated second bending elastic modulus.

The invention provides an air tightness optimization method for a soft pressurization cabin, and the method comprises the steps: presetting a dynamic sensor array at a specific position where a structure is liable to fail according to a failure risk assessment table, collecting stress concentration data caused by non-uniform pressure distribution in real time, and generating a stress distribution dynamic graph containing a time sequence; the dynamic adjusting device is driven to operate through the homogenized pressure distribution adjusting scheme, pressure field data in the cabin body is updated in real time, whether material fatigue is within the fracture risk range or not is judged, and a fatigue state monitoring report is generated; obtaining a fracture risk index in the fatigue state monitoring report, carrying out iterative adjustment on the fiber weaving density and the elastic modulus of the key area by adopting a material design optimization algorithm, and determining a final structure layout parameter for improving the performance; and extracting a limiting condition of dynamic adjustment difficulty from the final structure layout parameters, simulating a cabin operation state in an extreme environment through a digital twin technology, calculating a boundary value of performance limitation, and obtaining a verification result of performance improvement.

The invention relates to the field of geological exploration and geotechnical engineering, provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters in order to dynamically obtain rock mass dynamic mechanical parameter characteristics in situ in real time in the drilling process, and provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters by using multi-modal signals such as vibration, acoustic emission, torque and bit pressure through uniform characteristic engineering and multi-task learning. The instantaneous elastic modulus, the dynamic Poisson's ratio, the transient uniaxial compressive strength, the cohesive force and the internal friction angle can be synchronously and dynamically predicted in single drilling, and the limitation that only a single static parameter is estimated in a traditional method is broken through; a rock mass dynamic mechanical parameter acquisition model constructed on the basis of a multi-modal adaptive graph attention sequential network can effectively couple the physical proximity and the statistical association relationship of a sensor, and integrates expansion sequential convolution and a time perception Transform module, so that the characterization capability of emergencies (such as jamming / friction resistance) and long-term trends is considered on the premise of low time delay; therefore, the prediction accuracy is improved.

The invention provides a topology and morphology integrated optimization design method for a thin-walled structure. The method comprises the steps that 1, a finite element model is established according to design requirements; 2, extracting a thin-wall structure morphology distribution field # imgabs0 # through two-step partial differential equation filtering and Heavide projection operation; 3, constructing a material attribute rational approximation model in combination with the thin-wall morphology distribution field # imgabs1 # and the topological density field v obtained in the step 2, thereby obtaining an elastic modulus E and mass rho in a design domain; 4, performing finite element analysis in combination with the material interpolation model, and calculating the flexibility of the structure; 5, solving to obtain the sensitivity of the structure flexibility and the quality relative to the design variables; step 6, updating the morphology design variable mu and the topology design variable v of the thin plate by adopting a moving asymptote method; and step 7, when a convergence condition is satisfied, stopping optimization iteration and outputting an optimization result. According to the method, the maximum forming angle of the thin-wall structure is controlled by adjusting the filtering radius of the anisotropic filter, and the stamping forming process is met.

The invention belongs to the field of material mechanical property analysis, and particularly discloses a three-dimensional random field construction method and system for simulating the mechanical property of a lunar soil brick, and the method comprises the following steps: S1, obtaining hardness and elastic modulus corresponding to each sampling point on the simulated lunar soil brick; s2, determining an edge distribution function F1 of the hardness based on the hardness distribution of all the sampling points, and determining an edge distribution function F2 of the elastic modulus based on the elastic modulus distribution of all the sampling points; s3, based on a Copula function, combining the edge distribution functions F1 and F2 into a joint distribution function; and S4, determining a cross correlation coefficient between the hardness and the elastic modulus based on the joint distribution function, forming a cross correlation coefficient covariance matrix R, and further determining the lunar soil brick mechanical property random field. According to the method, the random field for simulating the mechanical property of the lunar soil brick is accurately modeled, and a scientific basis can be provided for design and selection of lunar building materials.

The invention relates to a tire structure aging prediction method, in particular to a method, a system and a program product for predicting aging and damage risks of a tire multilayer structure. According to the method, nanoindentation testing is carried out on all layers (an airtight layer, a transition layer, a tread layer and the like) of the tire at different time points, elastic modulus data are obtained, and the modulus variation is calculated. And performing numerical solution on the diffusion behavior of oxygen in each layer in combination with a Fick diffusion equation, establishing a concentration-modulus coupling model, extracting an aging rate and a critical modulus change threshold, and realizing prediction of failure time of each layer, thereby evaluating the overall remaining life and safety risk of the tire. The system integrates a data acquisition module, a temperature control module and an automatic analysis module, has the advantages of high detection precision, quick response, accurate prediction and the like, and can provide a scientific basis for tire design optimization and maintenance management.

A metamaterial includes a plurality of films arranged with main surfaces thereof facing each other, a plurality of micro-resonators included in the plurality of films, and a stress relieving member disposed between two mutually-adjacent films of the plurality of films. The plurality of films transmit a target electromagnetic wave that is an electromagnetic wave having a wavelength within a target wavelength range. The plurality of micro-resonators resonate with the target electromagnetic wave. The stress relieving member transmits the target electromagnetic wave and has a lower elastic modulus than the plurality of films.

The invention discloses an orthotropic rock physical modeling method. The method comprises the following steps: S1, obtaining tight reservoir parameters; s2, estimating the elastic modulus of the mixed minerals; s3, enabling the mixed mineral to be equivalent to a VTI background rock matrix caused by a thin layer; s4, matrix pores are added into a VTI background rock matrix; s5, embedding the vertical crack into the VTI background'dry 'rock skeleton to obtain an OA medium'dry' rock skeleton; s6, calculating the bulk modulus and saturated rock density of the mixed fluid; s7, adding the mixed fluid into the OA medium'dry 'rock skeleton to obtain OA medium saturated rock; s8, calculating longitudinal and transverse wave velocities and anisotropy parameters of OA medium saturated rocks; and S9, calculating OA medium saturated rock. According to the method, the tight reservoir with the orthotropic characteristic can be simulated, the Thomsen parameter and the fracture weakness parameter of the tight reservoir can be obtained, and data support is provided for fracture evaluation, anisotropic parameter inversion, permeability prediction and the like of the tight reservoir.

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.

The invention discloses a glass ceramic and a preparation method thereof, and an electronic equipment cover plate and an electronic equipment cover plate assembly prepared from the glass ceramic, the overall crystallinity of the glass ceramic is 60%-95%, the crystalline phase is lithium disilicate and petalite, and the weight ratio of the lithium disilicate crystalline phase to the petalite crystalline phase is greater than or equal to 1.5. The microcrystalline glass provided by the invention has specific glass composition and crystalline phase structure, and by utilizing the synergistic effect of the glass composition and the high lithium disilicate crystalline phase structure, not only is the microcrystalline glass product endowed with high elastic modulus, but also the microcrystalline glass product can obtain an expected stress structure after chemical strengthening treatment; particularly, the high center tensile stress (CT-CV) and the large average tensile stress (CT-AV) are achieved.

The invention relates to the technical field of medical elastography and material multi-scale mechanical measurement, in particular to an elastography method and system based on an instantaneous scattering displacement field, and the method comprises the steps: driving a passive / active method scattering displacement field excitation device through a frequency domain controllable sine wave signal, and generating a scattering displacement field on a target material, an instantaneous displacement field is obtained through high spatial resolution measurement, then sliding window local interception, two-dimensional autocorrelation calculation and nonlinear fitting based on the Rayleigh / shear wave spatial autocorrelation theory are performed on the single-frame instantaneous displacement field, shear wave velocity distribution is obtained, and then the viscoelasticity modulus of a target area is inverted to achieve comprehensive characterization of the viscoelasticity of the material. According to the scheme, the single-frame scattering displacement field is excited and collected, and the elasticity inversion is performed based on the instantaneous displacement field, so that the dependence of traditional elasticity imaging on high-frame-rate equipment is broken through, the material viscoelasticity evaluation can be efficiently completed at low cost, and the application prospect in the fields of clinical diagnosis and mechanical measurement is wide.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

Panel suitable for assembling a floor covering by gluing a plurality of said panels onto a substrate, wherein the panel has a substantially planar top side, and a substantially planar bottom side, at least four substantially linear side edges comprising at least one pair of opposite side edges, the panel having a layered structure which comprises a decorative top layer, wherein the decorative top layer shows a dimensional sensitivity to temperature and / or humidity fluctuations, the panel further comprising a reinforcing layer, adhered to the top layer, and having a modulus of elasticity of at least 2 Mpa.

The utility model discloses a chemical mechanical polishing and planarization system, which at least comprises a polishing head. A plurality of air holes are formed in the lower surface of the hard disc, and a third air cavity communicated with the air holes is formed in the hard disc; at least part of the elastic unit is of an annular structure, the elastic unit is connected with the polishing head body and the hard disc, and a second air cavity is defined by the polishing head body, the elastic unit and the hard disc; a retaining ring; when the third air cavity is in a negative pressure state, the lower surface of the hard disc can make contact with and adsorb the wafer substrate, and the pressure in the second air cavity is controllable, so that the elastic unit is driven to flexibly move, the hard disc and the wafer substrate are assisted to float, and chemical mechanical polishing of the wafer substrate is achieved. The hard drive in the hard disc solves the problem that when the flexible film drives the wafer substrate to polish, the flexible film is pulled to cause fracture or elastic modulus change under the severe polishing condition, and the service life of the flexible piece is prolonged.