14 results about "Material defect" patented technology

This invention relates to the field of materials evaluation technology, specifically proposing a material defect detection method and system based on multi-dimensional feature fusion. The method involves synchronously acquiring thermal response data through pulse and phase-locked loop dual-modal thermal excitation, extracting four-dimensional features in the time and frequency domains, and constructing a unified pixel-level feature vector through standardized preprocessing. Then, a response map is generated through weighted fusion, and candidate abnormal regions are screened. Finally, defect determination is completed by combining dual-branch classification and decision-level fusion. This approach addresses both shallow and deep defect detection in the tested flat plate material component, effectively distinguishing between various defects such as interlayer debonding, microcracks, and porosity, solving the problems of poor accuracy and easy confusion in single thermal excitation detection. Furthermore, the standardized preprocessing process improves feature stability, enabling accurate determination of defect location and type, thus enhancing the accuracy and comprehensiveness of defect detection in the tested flat plate material component.

The utility model discloses a winged part mould relates to mould technical field, including upper mould, the inside fixedly connected with forming assembly of upper mould, the bottom fixedly connected with lower mould of forming assembly, the inside of lower mould is provided with resilience subassembly, the top of upper mould is provided with injection moulding hole, and forming assembly includes male die. This winged part mould is driven male die to go down by upper mould, makes the precise clamping of male block and recess, positioning column and positioning groove, can rapidly and stably fixed cavity, effectively prevents cavity displacement in the injection moulding process, ensures the size accuracy of forming part, through the cooperation of injection moulding hole and glue hole, and the molten plastic can even, quick filling cavity, reduces bubble and material defect such as lack, promotes part quality, and this kind of structure design is reasonable, and the operation is simple, improves production efficiency, and reduces the scrap rate, is helpful to the realization of efficient, high -quality injection moulding production of enterprise, strengthens market competitiveness.

The application discloses a prestressed middle plate production line mold for a subway station, which comprises a fixed bottom plate, a prestressed middle plate mold fixedly connected to the upper surface of the fixed bottom plate and used for pouring concrete, a tensioning assembly and a control assembly. In order to solve the problem that common steel bar tensioning equipment may be broken due to stress mutation or material defects when stress is applied, and the mold or equipment is easily damaged by instant energy release, the tensioning assembly is designed, the inside of the tensioning assembly is provided with a buffer assembly, the buffer assembly can play a buffering role when stress is applied, can absorb impact energy when overload occurs, and the control assembly is further designed, sliding friction is triggered under over-limit tension through the control assembly, the maximum transmission force is limited, and equipment damage caused by sudden breakage is avoided.

Aspects of the present application relate to the automated characterization of material defects in paved surfaces. More specifically, in accordance with one or more aspects of the present application, a location processing service may be utilized to utilized machine-learned algorithms in the characterization of material defects in paved surfaces. The characterizations are illustratively associated with a hierarchical set of categories. The location processing service can further utilize machine learned algorithms to identify one or more remediation recommendations corresponding to the associated characterization of the paved surface.

The application discloses a modified plastic reinforced injection molding method and device, and relates to the technical field of injection molding. The modified plastic reinforced injection molding method comprises the following steps: raw material hot melting and mixing, mold preheating, mold clamping and clamping, pressure boosting injection molding, pressure maintaining and shaping, cooling and solidifying, mold opening and discharging. The modified plastic reinforced injection molding method and device, through uniform fusion of glass fibers and molten plastics, greatly improve the mechanical strength, rigidity and deformation resistance of modified plastics. The pressure boosting injection molding cooperates with an exhaust structure to eliminate defects such as bubbles and material defects, and the product is compact and smooth. The pressure maintaining and precise temperature control cooling guarantee the size stability and reduce deformation. The worm gear and worm clamping block type clamping simplifies mold disassembly and improves mold changing efficiency. The discharging assembly linkage automatically ejects the product, reduces manual operation, and improves overall production efficiency and molding quality.

The application provides a machine vision-based cable insulation layer surface defect online detection method, comprising the following steps: collecting multi-material defect-free images and labels based on industry standards, and constructing a standardized basic data set; generating spatial adaptive texture disturbance by using a material perception disturbance generator, realizing same defect different material sample enhancement; designing a defect-material dual-flow feature decoupling network, obtaining material-invariant defect representation through orthogonality constraint and mutual information minimization; performing similarity matching between the features and a defect prototype library, realizing defect type and position determination, and online self-adaptive adjustment of noise disturbance intensity, and dynamic updating of the prototype library to maintain the identification performance; and the application can effectively eliminate multi-material interference, realize high-precision automatic identification of insulation layer surface defects, and is suitable for real-time monitoring of a cable production line.

The application discloses a batch steel material defect tracing method, device, medium and equipment. The method comprises the following steps: obtaining defect information of a steel material and a path code of the steel material in a process in which the steel material is sequentially processed from a starting state to a finished state through multiple units; the path code comprises unit codes of the multiple units, and the arrangement order of the unit codes is used to represent the flow path of the steel material in the multiple units; mapping the defect information to reference defect information of a reference steel material according to the path code, wherein the reference steel material is a steel material in one of the states from the starting state to the finished state of the steel material; obtaining defect distribution of multiple reference defect information in the reference steel material, and determining a defect concentrated position of the reference steel material according to the defect distribution. The application can improve the defect tracing efficiency of batch materials, and is beneficial to improving the hereditary defects of the materials or improving the unit positions prone to defects.

This invention discloses an online detection method, system, device, and medium for adhesive backing defects based on image and mechanical signal fusion, relating to the field of material defect detection technology. The method includes acquiring adhesive backing images by obtaining the adhesive viscosity and limiting the coating speed; establishing a mechanical spatial cycle by combining production line mechanical signals; extracting periodic flow mark textures and performing order spectrum analysis to identify normal textures and candidate defects; constructing a pre-processed suppression template based on normal textures for defect detection; and simultaneously selecting the most stable coating speed by adjusting the coating speed to perform secondary acquisition and confirmation of candidate defect areas. This solves the problem of difficulty in distinguishing normal flow mark textures from real stripe defects and the high false detection rate during adhesive backing coating.

This application provides a method and apparatus for detecting crystal structure defects in sapphire substrates, belonging to the field of material defect detection technology. The method includes: acquiring historical process information of the sapphire substrate and querying associated typical defect types and distribution characteristics from a defect knowledge base as expected defect information; performing a full-field scan of the sapphire substrate using a first detection technique to obtain a first distribution image; performing image analysis on the first distribution image based on the expected defect information to identify one or more candidate defect regions and performing local scanning using a second detection technique with a spatial resolution or spectral resolution greater than the first detection technique to obtain a second distribution image; spatially registering and fusing the first distribution image and the second distribution image of the candidate defect regions to generate multimodal fusion feature data and inputting it into a defect classification and quantification model to obtain defect information of the candidate defect regions; and finally generating a sapphire substrate defect detection report and quality control judgment results.

This utility model relates to the technical field of chip inspection carrier devices, and discloses a semiconductor chip material defect inspection carrier device, including a carrier platform. An infrared detection system is installed on the top of the carrier platform. Multiple fixing components are installed on the upper surface of the carrier platform, each fixing component including multiple fixing platforms. The bottoms of the multiple fixing platforms are fixedly connected to the upper surface of the carrier platform. A turntable is fixedly connected to the upper surface of the fixing platforms, and a rotating frame is rotatably connected inside the turntable. The rotating frame has an inclined groove inside. In this utility model, an electric push rod pushes the push platform, which in turn causes the inclined groove on its top to move vertically in sync. The sliding of the inclined groove inside the sliding shaft pushes and pulls the rotating frame, causing the rotating frame to rotate inside the turntable and change its tilt angle. This causes a flexible positioning plate to press down and effectively fix the chip material, ensuring the chip is stable during inspection and improving the accuracy and reliability of the inspection.

The application relates to the technical field of material defect detection, in particular to a fire-resistant material porosity nondestructive detection analysis method and system based on a cloud platform, wherein the method provided by the application first screens standard samples meeting quality requirements by using ultrasonic detection and CT scanning technology, then acquires CT scanning data and ultrasonic detection signals of the standard samples, and constructs standard pore characteristic vectors and standard ultrasonic characteristic vectors according to the data, subsequently establishes a standard pore ultrasonic data set according to the standard pore characteristic vectors and the standard ultrasonic characteristic vectors, correlates characteristic data of different sources, establishes a mapping relationship between pore characteristics and ultrasonic characteristics, and thus realizes the prediction of local porosity of a test sample according to a measured ultrasonic characteristic vector. The application combines the advantages of ultrasonic detection and CT scanning technology, calculates the porosity corresponding to the measured ultrasonic signal through the pre-established standard pore ultrasonic data set, and greatly improves the detection efficiency.

This invention belongs to the field of material defect characterization and provides a method for evaluating the degree of irradiation damage to materials, comprising the following steps: (1) providing an irradiated sample; (2) using EBSD to obtain the grain orientation information of the irradiated sample, and selecting target grains according to the grain orientation, adjusting the electron gun accelerating voltage value and the position of the irradiated sample to perform ECCI characterization on the target grains; (3) comparing whether the total surface density ρ1 of the defects in the irradiated sample in the S / TEM characterization results and the total surface density ρ2 of the defects in the irradiated sample in the ECCI characterization results satisfy |ρ 1‑ ρ2|≤1×10 17 pcs / m 2 If not, proceed to step (4); (4) adjust the electron gun accelerating voltage to perform ECCI characterization on the target grain; (5) repeat steps (3)-(4) until ρ1 and ρ2 satisfy |ρ 1‑ ρ2|≤1×10 17 pcs / m 2 Therefore, this method can conveniently assess the degree of irradiation damage to bulk materials and rapidly screen materials irradiated with ions.

The application discloses a composite material defect monitoring method and system based on a fiber grating sensor. The method comprises the following steps: implanting the fiber grating sensor in the composite material and forming an array, then acquiring the center wavelength offset measured by each fiber grating sensor in real time by using a signal demodulation device, calculating the corresponding stress gradient, temperature change rate or vibration frequency offset according to the center wavelength offset, constructing a defect feature map, finally performing defect detection by using a defect detection module, and performing multi-level early warning according to the result of the defect detection. The application solves the technical problems that the implantation process of the fiber grating sensor in the composite material is complex, the interface bonding strength between the sensor and the base material is difficult to guarantee, and multi-parameter and multi-scale defect monitoring is difficult to realize in the prior art, and more accurate identification and positioning of defects in the composite material structure are realized.

This application relates to a defect assessment method for composite materials based on multi-source data fusion. It employs a three-dimensional Hashin failure criterion based on continuous damage mechanics, implemented through a user-defined material subroutine, to more accurately simulate the damage initiation and evolution of composite materials under complex loading conditions. A simultaneous mechanical loading and ultrasonic testing experiment is designed and implemented to acquire in real time the coordinated changes in the mechanical response and ultrasonic signal characteristics of the structure during loading, providing direct and dynamic verification data for the simulation model. Machine learning algorithms are applied to establish a complex nonlinear mapping relationship between the multi-dimensional characteristics of ultrasonic signals and key mechanical performance parameters. A modular system integrating modeling and simulation, data acquisition, model verification, mapping learning, and online prediction is constructed to achieve unified processing, fusion analysis, and closed-loop optimization of multi-source data.