10 results about "Micro defects" patented technology

The application provides a method and system for detecting PV and PI regions of a silicon wafer, and belongs to the technical field of defect detection of silicon wafers. The method for detecting the PV and PI regions of the silicon wafer specifically comprises the following steps: firstly, performing copper decoration treatment on the surface of a silicon wafer sample to mark vacancy-type defects of the silicon wafer sample, so as to obtain a to-be-detected silicon wafer sample; then, immersing the to-be-detected silicon wafer sample, a counter electrode and a reference electrode in a hydrofluoric acid electrolyte, so that the to-be-detected silicon wafer sample serves as a working electrode and the working electrode, the counter electrode and the reference electrode jointly construct a three-electrode electrochemical system; subsequently, applying a constant anodic bias to the working electrode and keeping the constant anodic bias for a predetermined time, so that the marked vacancy-type defect region and the unmarked gap-type defect region are subjected to differential corrosion, the PV and PI regions are exposed, and the originally invisible micro defects are converted into macro and micro morphology differences which are clearly distinguishable.

This invention discloses a visual inspection system for surface defects in industrial parts, relating to the field of parts quality control technology. The system adopts a four-layer architecture: a thermoelectric coupling field control layer, a texture-encoded defect development and acquisition layer, a cross-scale linkage modeling layer, and a process closed-loop control layer. The core components include a field-induced texture-encoded defect development unit, a texture-encoded defect cause mapping unit, a cross-scale closed-loop control unit, and a multi-dimensional collaborative verification unit. This invention utilizes the core technologies of active thermoelectric coupling field control + reuse of processing texture process codes, field-induced development of micro-defects, and cross-scale closed-loop control to solve the problems of existing detection methods, such as the inability to trace the cause of defects, high false negative rates for nanoscale micro-defects, disconnect between detection and process optimization, high system costs, and dependence on constant temperature environments. It achieves simultaneous and accurate completion of defect detection and cause tracing, significantly reduces the false negative rate of micro-defects, enables closed-loop control of the entire detection-process optimization process, reduces system costs, and adapts to non-constant temperature industrial scenarios.

The present application belongs to the field of integrated circuit package testing, and particularly relates to a TGV defect detection method based on PSO-XGBoost. A defect model is established by taking the cavity, open circuit and composite defects in TGV as the research object, and the S parameters of different defects are extracted based on the established defect model; the TGV cavity defect radius, TGV open circuit defect length and TGV composite defect combination form are taken as the data classification basis, and the labels are set; a PSO-XGBoost classification model is established, the particle swarm optimization (PSO) algorithm is used to optimize the extreme gradient boosting (XGBoost), and the best hyperparameter is found based on the PSO-XGBoost algorithm; the S parameters of different defects are classified and processed by using the PSO-XGBoost model, the defect type is predicted, and the TGV defect detection accuracy is improved. The detection method avoids the secondary damage of TGV in the defect detection process, solves the problems that the traditional TGV detection method is difficult to accurately detect the micro defect and composite defect and has low detection efficiency, and has certain reference value for optimizing the design and manufacturing process of TGV, improving the TGV defect and improving the three-dimensional package yield.

The application discloses a waterproof performance detection device for leather lining fabric and belongs to the technical field of fabric waterproof detection. The bottom of the fabric is attached to the pressing ring in the pressing assembly, the recessed part of the fabric is deepened, the purpose of fabric stretching is achieved, the driving mechanism drives the swing top material assembly to work, and then drives the multiple pressing heads at the bottom to regularly reciprocate up and down. Meanwhile, the second spring of the pressing assembly can be self-adaptingly stretched and contracted according to the reciprocating force of the pressing head, the pressing ring is always closely attached to the fabric, the fabric is prevented from being displaced in the dynamic movement process, the fabric detection area is partially immersed in the detection medium, the wet sensitive sensor continuously works, whether there is moisture penetration in the fabric is monitored in real time, the pressing head is used in cooperation with the pressing ring to simulate the repeated bending, extruding and pressing actions in the actual use of the fabric, the real stress scene of the attached fabric is simulated, the detection error is reduced, and the micro defects of the waterproof structure of the fabric can be accurately identified.

The present application relates to the technical field of magnetic suspension compressor assembly, and specifically discloses a magnetic pollution source head prevention and control optimization method in the assembly process of a magnetic suspension compressor, comprising: in the pre-treatment stage of the magnetic suspension compressor assembly, using a self-adaptive genetic algorithm to dynamically optimize the thermal cycle parameters in a low-temperature environment, accurately inducing the ferromagnetic impurities hidden in the micro-defects of the compressor components to release in advance; combining wavelet packet transform and neural network algorithm to perform feature extraction and pattern recognition on the released impurity signals; the present application constructs a low-temperature thermal cycle process optimized by a self-adaptive genetic algorithm in the pre-treatment stage of assembly, accurately induces the hidden ferromagnetic impurities in micro-cracks to release in advance, and combines wavelet packet transform and neural network driven targeted pulse demagnetization to accurately remove the impurities before entering the assembly link, breaks through the limitation that traditional cleaning and demagnetization methods cannot reach the impurities in micro-defects, and eliminates the magnetic pollution hidden danger that cannot be found by initial detection from the source.

The application discloses an industrial welding quality evaluation system based on visual detection and relates to the technical field of industrial welding quality detection.The system comprises a multi-field coupling micro-excitation unit, a resonance visual signal acquisition unit, a resonance feature extraction unit, an excitation evolution mapping calibration unit, a reversibility evaluation unit, an evolution trend prediction unit and a mass production full inspection adaptation unit.In the application, the multi-field coupling micro-excitation is used to trigger the resonance of the weld microstructure and capture non-stationary resonance visual signals.Combined with the closed-loop design of the three-dimensional mapping calibration library and the resonance peak shift rate-failure cycle model, the problems that the prior art cannot establish the correlation between macro and micro defects, cannot distinguish the reversibility of defects, cannot predict the evolution trend of irreversible defects and has poor mass production full inspection adaptability are solved, the quantitative evaluation of weld micro defects, the accurate determination of reversibility and the prediction of failure trend are realized, the anti-interference capability and mass production full inspection efficiency are taken into account, and the detection and repair are coordinated.

The application relates to the technical field of ceramic matrix composite self-repairing machining, and discloses a high-surface-quality ceramic matrix composite self-repairing machining method. In view of the difficulties that micro cracks, micro defects, continuous fiber breakage or damage are easily generated during machining of ceramic matrix parts, a special tool with a BCC metal gradient layer on the surface is adopted, high-speed dry milling is used to make the cutting point temperature exceed 800 DEG C, Si elements are diffused with the BCC metal gradient layer as a carrier, and the surface of the part is repaired. The method can reduce the local hardness of the material, inhibit crack propagation, improve the interface bonding between the fiber and the matrix, realize low-damage cutting, and is reliable in process, thereby providing support for batch manufacturing of hot end parts of an aero-engine.

This invention relates to the technical fields of laser rapid prototyping control, and provides a method and system for laser precision repair of surface defects in die-cast aluminum mobile phone frames. By acquiring information on the die-cast aluminum grade and anodized layer characteristics, a matching laser repair process model is invoked to identify and locate microscopic defects on the aluminum substrate surface, and a laser scanning path is planned. A high-frequency, low-single-pulse energy scanning strategy with a spot overlap rate greater than a threshold is used to emit pulsed laser light, causing the surface layer of the aluminum substrate in the defect area to micro-melt and re-solidify. The temperature and morphology changes in the repair area are monitored in real time, and the effect of a single scan is evaluated based on the monitoring data. If the results are not satisfactory, the laser process parameters are adaptively fine-tuned, and additional scans are performed within a limited heat-affected zone until the preset appearance quality standard is met. This invention achieves efficient, uniform, and invisible repair of microscopic defects in the substrate without damaging the surface anodized layer through the synergistic optimization of laser parameters, scanning strategy, and thermal management.