34 results about "Hyperelastic material" patented technology

The invention relates to an energy-absorbing bionic lattice structure design method, which belongs to the technical field of bionics, and is characterized in that a bionic tendon wave lattice structure is designed by referring to an ostrich metatarsophalangeal joint tendon collagenous fiber bundle microstructure in nature; the energy absorption characteristic of the structure is analyzed through tests and simulation, and optimal structure parameters are obtained in combination with a genetic algorithm; the superelastic material and the bionic tendon wave lattice structure are selected to be combined, the diversified requirements of different products for mechanical properties can be effectively met, and in multiple application occasions, impact energy can be efficiently dispersed and absorbed, movement impact force can be effectively dispersed, and a high-quality damping effect can be provided.

To provide an arch wire for orthodontics that can reduce pain and discomfort during orthodontic treatment by using a low-rigidity wire. [Solution] The orthodontic archwire 10 has a loop portion 30 formed in a predetermined shape to enable loop mechanics, and is made of a superelastic material selected from the group consisting of nitinol, titanium-molybdenum alloy (TMA), and gum metal, which have a Young's modulus of 100 GPa or less. When the loop portion is activated, a force that slowly returns to its original shape acts continuously on the target tooth, physiologically promoting tooth movement and reducing pain during treatment, and further reducing the risk of complications due to excessive force, such as root resorption and damage to periodontal tissue.

The embodiment of the present disclosure provides an anti-impact and vibration-reducing and noise-reducing integrated multifunctional metamaterial structure and a preparation method thereof, and relates to the technical field of multifunctional metamaterials.The method comprises the following steps: manufacturing a super-elastic material structure, which is based on a curved beam structure; taking the super-elastic material structure as a core and a polygonal metal frame as a boundary, a single cell structure with super-damping effect is constructed; the single cell structure is constructed into a lattice structure in the form of a fractal structure, and the lattice structure is arranged according to a preset requirement to synthesize a metamaterial plate; and the polygonal metal frame boundary form and the number of the metamaterial plates are adjusted according to an application scenario to form an anti-impact and vibration-reducing and noise-reducing integrated multifunctional metamaterial structure.The anti-impact and vibration-reducing and noise-reducing integrated multifunctional metamaterial structure and the preparation method thereof can solve the defects that the current anti-impact metamaterial structure has a large thickness and a single function and is difficult to be applied to actual engineering problems.

The present disclosure provides a guide wire system comprising (a) a guide wire having a distal end and a proximal end, wherein the guide wire comprises a superelastic material, (b) a first connector coupled to the proximal end of the guide wire, (c) a second connector coupled to the guide wire between the distal end and the proximal end, (d) an electromagnetic sensor coupled to the distal end of the guide wire, and (e) a polymeric tube surrounding the guide wire and at least a portion of the electromagnetic sensor.

A guidewire formed from a superelastic material has a proximal section and a distal section. In order to improve torque and pushability in the proximal section, a first wire is wound clockwise onto the proximal section to form a first coil and a second wire is wound counterclockwise onto the first coil to form a second coil.

The invention discloses a hyperelastic material large strain visual measurement method based on surface grid deformation identification, which comprises the following steps: processing a hyperelastic material to be measured into a dumbbell-shaped sample, and constructing uniformly distributed regular grid lines on the surface of a scale distance section of the sample; stretching the sample at a preset stretching rate, and continuously collecting surface grid deformation images of the sample while stretching; identifying the position of each grid line in each frame of image; and according to the position change condition of the corresponding grid lines in the two adjacent frames of images, determining the strain condition of the hyperelastic material at each moment under the preset stretching rate. The invention aims to solve the problems that a traditional measurement method is inaccurate in measurement under the condition of large strain of the hyperelastic material, for example, speckles chapped and deformed in a random speckle sample laying method are difficult to recover, an extensometer cannot obtain local strain and results have uncontrollable factors, and a traditional DIC method is large in measurement error under large strain.

A compression device made of a superelastic material having a peripheral portion with an upper surface, a lower surface, and a central opening extending therethrough is provided. Tips of one or more resilient structures of the compression device project inward of the peripheral portion and form an opening. The one or more resilient structures are configured to exert a biasing force in a direction when deformed in an opposite direction. Also provided is a bone plate assembly comprising a captively retained compression device and a bone plate comprising one or more integrally formed resilient structures.

The application discloses a phase transition super-elastic material topology optimization method based on a nonlinear constitutive model and belongs to the technical field of intelligent material structure design and multi-physical field optimization. The method comprises the following steps: establishing a super-elastic constitutive model containing a martensitic volume fraction to describe the coupling relationship between material phase transition behavior and mechanical properties; constructing a topology optimization model with the minimum structural flexibility as an objective and the volume fraction and a balance equation as constraints; adopting an additional super-elastic technology of dynamic reconstruction to solve the numerical instability problem in the optimization process; performing sensitivity analysis through an adjoint vector method; and obtaining an optimal topology configuration through iterative solution by using an optimal criteria method. The application can efficiently and stably realize the structure optimization of the phase transition super-elastic material, significantly improves the calculation efficiency and numerical stability of the optimization process, and is suitable for the structure design of intelligent materials such as shape memory alloys in the fields of aerospace, medical devices and the like.

The invention relates to an impact speed mechanical sensor applied to a severe environment, and relates to the field of sensors, the impact speed mechanical sensor comprises a shell, an upper cover plate, an inner core and a force sensor, the force sensor is placed at the bottom of the shell, and a plurality of groups of square strips which are different in length and made of super-viscoelastic and super-elastic materials are arranged in the inner core at intervals; the inner core is placed on the force sensor, the upper cover plate is placed on the inner core and is in sliding connection with the shell, and the device has the advantages that impact signals can be converted into visual information or force signals only through a mechanical structure, and the device can be widely applied to impact monitoring scenes with high requirements for reliability and environmental adaptability.

The invention relates to the technical field of machine learning, in particular to a method and a device for realizing stress mapping and constitutive relation symmetry identification of a hyperelastic material. The method comprises the steps that training data are acquired, the training data comprise a plurality of sample data sets, and each sample data set comprises strain data of hyperelastic material samples and corresponding external force; according to the training data, a neural network model is trained in an unsupervised learning mode, the neural network model is used for indicating the constitutive relation of the hyperelastic material sample, the symmetry feature of the constitutive relation is recognized, the symmetry feature is embedded into the neural network model, and a target neural network model is obtained. According to the method provided by the embodiment of the invention, the stress of the hyperelastic material can be accurately identified, the accurate mapping of the stress state is realized, and the symmetry of the constitutive relationship of the material can be automatically identified without additional data. Through symmetry identification and embedding, the prediction performance of the model can be obviously improved, and the application of the model in anisotropic material modeling is expanded.

The application discloses an isogeometric analysis simulation method of a hyperelastic material model based on body subdivision. The isogeometric analysis adopts the division of a spline model parameter domain and the mapping of the parameter domain to a physical model, avoids the time consumption of mesh division in a finite element, and realizes an integrated process from modeling to simulation in combination with a CC subdivision method. The application comprises the following steps: converting a CC subdivision body into a spline body model, and establishing a mapping relationship of control points of the subdivision body and the spline body; establishing a hyperelastic material constitutive model according to geometric boundary conditions and material parameters; establishing a discrete balance equation of the model according to an isogeometric method; in combination with the balance equation, establishing a model motion equation and a nonlinear solving system; using a Newton iteration method to solve the nonlinear system, obtaining displacement solutions at each time step, and mapping the displacement solutions back to the subdivision body, so as to realize deformation simulation of the subdivision body.

The application discloses a kind of simulation dinosaur three-dimensional modeling optimization method and system, method constructs rigid body skeleton system based on Lagrange dynamics;According to the muscle layer of super-elastic material of anatomical attachment point, the displacement field is calculated using position-based dynamics method;Skin layer is constructed outside, Cauchy stress is projected to grid vertex, and wrinkle and scale texture are dynamically generated according to principal strain;The grid simplification degree and physical simulation accuracy of corresponding area are dynamically adjusted by calculating perceptual importance weight;Establish the quadratic programming problem with anatomical constraint to realize motion reorientation and angular momentum distribution;And construct deformation prediction cache model to carry out online constraint correction.The application realizes the unity of high-precision biological feature restoration and high-efficiency real-time rendering.

To reduce man-hours and prediction time required for predicting rigidity of a rubber material.SOLUTION: The rubber material characteristic prediction method includes a tensile test process S1 for acquiring a stress-strain relation by a tensile test for one representative rubber material among a plurality of rubber materials, and a representative Young modulus acquiring process S3 for acquiring Young modulus of the representative rubber material. Further, the method includes an identification process S2 for calculating the material parameters of the strain-energy-density functions of the superelastic material model by identifying the strain-energy-density functions of the superelastic material model and the stress-strain relationship, and a relational equation derivation process S4 for deriving the relational equations between the material parameters and the Young's moduli.SELECTED DRAWING: Figure 1

The invention provides an annular sample, a clamp and an axial tension pure shear test method, belongs to the field of material mechanical property test, and aims to thoroughly solve the problem of non-uniform pure shear stress field caused by necking phenomenon. Under axial tension, a sample global uniform pure shear stress field is achieved, the pure shear stress-strain relation of the hyperelastic material is directly solved according to force and displacement data of the sample, and the influence of tension displacement and strain is avoided. The mechanical property of the rubber material can be better evaluated. Through verification, an annular sample tensile test has good substitutability for a plane tensile test.

The present application relates to a fully Lagrangian explicit computational modeling method for the internal forces of hyperelastic material nodes. The method decomposes the energy density function in the second Piola-Kirchhoff stress of the hyperelastic material into a volume-related part and a deflection-related part according to the characteristics of the hyperelastic material, and constructs a second Piola-Kirchhoff stress expansion model of the hyperelastic material; re-expresses the right Cauchy-Green strain tensor in the second Piola-Kirchhoff stress expansion model using the calculation formula of the Jacobian matrix, and expands the re-expressed right Cauchy-Green strain tensor into a form composed of time-varying quantities and invariants, reconstructs the second Piola-Kirchhoff stress expansion model, and calculates the invariants therein in advance; and constructs a new fully Lagrangian explicit computational model for the internal forces of the hyperelastic material nodes based on the reconstructed second Piola-Kirchhoff stress expansion model and the deformation gradient, strain matrix, and initial unit volume of the hyperelastic material.

We provide a bio-anchor that can be implanted and removed with minimal invasiveness. [Solution] The bio-anchor 1 is a bio-anchor that is incorporated into a living body and includes a cylindrical sleeve 2 having a through hole 10 extending from the outside to the inside of the living body, and a pin 3 that is inserted into the through hole and expands the sleeve. The sleeve may be made of a superelastic material, and a slit extending parallel to the through hole may be formed in at least a part of the sleeve. Only one slit may be formed and may extend in the direction of the opening of the through hole.

The application discloses a preparation method of a shape memory alloy plate with high-temperature super-elasticity, and belongs to the technical field of shape memory alloys. The shape memory alloy is a nickel-titanium-tantalum alloy, and the preparation method mainly comprises hot rolling, batch cold rolling large plastic deformation and recrystallization annealing, so as to refine the microstructure and control the grain size. The nickel-titanium-tantalum shape memory alloy plate prepared by the method has good super-elasticity when the temperature is higher than 100 DEG C, can recover a strain of more than 5%, and has high cycle stability. Compared with the nickel-titanium-hafnium high-temperature shape memory alloy, the shape memory alloy plate only adds 5.7% of Ta, and the raw material cost is obviously reduced, and is a super-elastic material which can be applied to a high-temperature environment of 100-180 DEG C.

The present disclosure provides a guide wire system comprising (a) a guide wire having a distal end and a proximal end, wherein the guide wire comprises a superelastic material, (b) a first connector coupled to the proximal end of the guide wire, (c) a second connector coupled to the guide wire between the distal end and the proximal end, (d) an electromagnetic sensor coupled to the distal end of the guide wire, and (e) a polymeric tube surrounding the guide wire and at least a portion of the electromagnetic sensor.

The present invention provides a method for optimizing the shape of a dielectric elastomer and the topology of a multi-material soft robot. The method comprises the following steps: defining a structural design domain of the soft robot, initializing design variables and boundary conditions, penalizing a stiffness matrix using a sequential multi-material interpolation model, calculating the electric field strength of the dielectric elastomer using Ohm's law and a voltage attenuation coefficient model, solving the Maxwell stress field of the dielectric elastomer using a hyperelastic material theoretical model in combination with a thermodynamic framework, mapping the stress field to an equivalent nodal load of the structure by constructing a mechanical equilibrium equation, solving the displacement response of the structure, and establishing a mathematical model for optimizing the driving shape of the dielectric elastomer and the topology of the multi-material soft robot; solving the sensitivity information of the objective function and constraints, and correcting the sensitivity information using a Heaviside filtering method; and updating the design variables using a moving asymptotic algorithm to obtain an optimal body configuration when the topology optimization model meets convergence criteria.

The invention relates to an ultrasonic detection simulation method and device for a rough contact interface of silicone rubber and a storage medium. The method comprises the following steps: acquiring the surface roughness of semi-conductive silicone rubber of a stress cone; performing curve fitting on data obtained by the tensile experiment to obtain hyperelastic material parameters required by the material in simulation; establishing an ultrasonic simulation model of the two-dimensional rough contact interface according to the surface roughness; inputting the parameters into an ultrasonic simulation model of the two-dimensional rough contact interface for ultrasonic simulation calculation; by means of the arrangement, the mapping relation between the interface pressure and the ultrasonic nonlinear coefficient can be established, and reference is provided for engineering application feasibility of the ultrasonic nonlinear detection method on high-voltage cable terminal interface pressure detection.

A kind of deformation detection method of flexible constant force clamping mechanism under displacement input, after the two-dimensional grid model of the flexible constant force clamping mechanism to be measured is constructed, based on the Mooney-Rivlin second-order strain energy function model of super-elastic material and initialization model parameters are generated according to boundary constraint condition and load setting;Based on the virtual work principle discretization equation under the static equilibrium state of continuum, using the displacement control method based on displacement increment iteration, the action point of load application, i.e. control point is handled by displacement application and the displacement increment of corresponding non-constrained point is solved, then the node position coordinates and model coefficients are updated until the convergence criterion is met;Finally, the node deformation solution meeting the equilibrium equation is obtained, and the node displacement, internal stress and other data of the process are processed and charted.The present application can quickly and conveniently model similar examples with simple parameter setting, and obtain the structure deformation condition and force-displacement output characteristic results with high precision.

The invention discloses a titanium-nickel-zirconium-tantalum high-temperature shape memory alloy wire and a preparation method thereof, and belongs to the technical field of shape memory alloys. The chemical formula of the titanium-nickel-zirconium-tantalum high-temperature shape memory alloy wire is (Ti < 50-x > Ni < 50 > Zr < x >) < 100-y > Tay according to the atomic percent, x is equal to 15-17 at.%, and y is equal to 15-17 at.%. The titanium-nickel-zirconium-tantalum high-temperature shape memory alloy wire prepared by the method consists of four alloy elements, namely nickel, titanium, zirconium and tantalum. The plasticity and the superelasticity in an alloy system can be remarkably improved by adding the tantalum element under the condition of high zirconium content, and the material is a shape memory and superelasticity material which can be applied to a high-temperature environment.

The present technology is directed to implantable medical devices comprising an electrical circuit for powering one or more active components of the device, such as an actuation element, an engine, or a sensor. The electrical circuit can include one or more inductors having a plurality of receiving coils that generate a current in response to being exposed to an electromagnetic field. The current generated by the receiving coils can be used to directly or indirectly power the one or more active components. The inductors can have one or more wires having a non-concentric configuration such that, in addition to generating the current for powering the device, the receiving coils also anchor a portion of the device when it is implanted. For example, the receiving coils can be at least partially composed of a superelastic material such that they exhibit superelastic properties at body temperature.

The invention relates to a complete Lagrangian explicit calculation modeling method for a node internal force of a super-elastic material, and the method comprises the steps: decomposing an energy density function in a second piezo-Kirchhoff stress of the super-elastic material into a volume correlation part and a deflection correlation part according to the characteristics of the super-elastic material; constructing a second piezo-Kirchhoff stress expansion model of the super-elastic material; and re-representing a right Cauchy-Green strain tensor in the second Peixia-Kirchhoff stress expansion model by adopting a calculation formula of the Jacobian matrix, expanding the re-represented right Cauchy-Green strain tensor into a form of combining a quantity and an invariant which change along with time, and reconstructing the second Peixia-Kirchhoff stress expansion model, calculating invariants in advance; and constructing a novel complete Lagrange explicit calculation model of the node internal force of the super-elastic material based on the reconstructed second piezo-Kirchhoff stress expansion model and the deformation gradient, the strain matrix and the initial unit volume of the super-elastic material.

The utility model discloses an anti-vibration and anti-impact bumper deflector, which relates to the technical field of automobile bumpers, and comprises a deflector body, a connecting frame fixedly arranged on the deflector body and connected with the automobile bumper, and a composite buffer structure arranged in the deflector body, a base layer, a reinforcing layer, a buffer layer and a protective layer are sequentially stacked on the composite buffer structure from inside to outside, the base layer is made of butyl rubber, the outer side face of the butyl rubber abuts against the inner side face of the reinforcing layer, the reinforcing layer is made of glass fiber reinforced polyurethane, and the outer side face of the glass fiber reinforced polyurethane abuts against the inner side face of the buffer layer. The buffer layer is made of closed-cell foaming silica gel, the closed-cell foaming silica gel is filled with a hyperelastic material, the outer side face of the buffer layer abuts against the inner side face of the protective layer, and the protective layer is made of a polyamide-based composite material. The anti-vibration and anti-impact bumper guide plate is good in buffering performance, high in strength and high in structural stability.

The invention provides a dielectric elastomer shape and multi-material soft robot topological optimization method, which comprises the following steps of: defining a soft robot structure design domain, initializing design variables and boundary conditions, punishing a stiffness matrix by adopting a sequence multi-material interpolation model, and calculating the shape of a dielectric elastomer by utilizing an Ohm law and a voltage attenuation coefficient model. The electric field intensity of the dielectric elastomer is calculated, a Maxwell stress field of the dielectric elastomer is solved by utilizing a hyperelastic material theoretical model in combination with a thermodynamic framework, and a mechanical equilibrium equation is constructed to map the stress field into an equivalent node load of the structure to solve the displacement response of the structure. Establishing a topological optimization mathematical model of the dielectric elastomer driving shape and the multi-material soft robot; solving the target function and the constrained sensitivity information, and correcting the sensitivity information by using a Heaviside filtering method; and updating a design variable by adopting a moving asymptotic algorithm, and obtaining an optimal ontology configuration when the topological optimization model meets a convergence condition criterion.

The present application belongs to the field of foil type dynamic pressure air bearing, and particularly relates to a dynamic pressure air radial bearing adopting double-layer circumferential variable stiffness wave foils, comprising: a bearing seat, a plurality of foil groups, wherein the foil group comprises: a flat foil which is in the shape of a whole circular arc and is coaxially arranged with the bearing seat; a wave foil which is in the shape of a whole circular arc and is arranged between the inner wall of the bearing seat and the outer wall of the flat foil; the wave foil comprises: an inner layer wave foil and an outer layer wave foil, the inner layer wave foil is arranged on the side close to the flat foil, and the outer layer wave foil is arranged on the side close to the inner wall of the bearing seat; the inner layer wave foil is prepared from super-elastic material, and the outer layer wave foil is prepared from elastic material; the dynamic pressure air radial bearing adopting double-layer circumferential variable stiffness wave foils has the advantages of high load capacity and strong stability during high-speed operation.