266 results about "Material defect" patented technology

A camera assembly arranged on an unmanned and autonomously navigating aerial vehicle is employed to inspect a surface area of for material defects. The vehicle is automatically flown to the surface area from a launch site, wherein it can fly around obstacles using automatic obstacle detection and avoidance methods. A relative position of the aerial vehicle with respect to the surface area with the aid of a position sensor is continuously measured and a sequence of images of the surface area is recorded. Between the individual images, the aerial vehicle is moved along a flight path overlapping image details of the surface area. The images of the sequence are composed into an overall image of the surface area to allow for the surface area to be inspected for defects and the location of defects to be ascertained on the basis of the overall image.

The invention discloses an evaluation device of state information of the machining process of a numerical control milling machine. A machining state data collecting array device, an information storage device, a numerical control system and the like on a machine tool are connected into a semi-closed-loop control circuit through the evaluation device MCU. A machining state data collecting array collects state data of main shaft currents, feed currents, vibration, machining temperatures and the like in the machining process of the numerical control machine tool and can intelligently identify abnormal states of abrasion and breakage of a cutter, material defects of workpiece blank and the like. A communication unit can achieve real-time connection between the machining state information collecting array and the evaluation device MCU. The evaluation device MCU checks and analyzes collected machining state parameters according to a certain algorithm, generates a check report and guides the information storage device to update the optimal parameter record. Meanwhile, the evaluation device has the prejudgment function, submits alarming when meeting with problems which cannot be dealt with and meanwhile analyzes corresponding error reasons and provides proper solutions. According to the evaluation device of the state information of the machining process of the numerical control milling machine, the machining parameters of the milling machine and the state information of the machining process are checked.

An efficient method to compute critical area for shorts and breaks in rectilinear layouts in Very Large Scale Integrated (VLSI) circuits. The method is incremental and works in the L INFINITY geometry and has three major steps: Compute critical area for rectilinear layouts for both extra material and missing material defects (i.e., shorts and opens) by modeling defects as squares (which corresponds to the L INFINITY metric) instead of circles (Euclidean geometry). Treat the critical region for shorts and opens between any two edges or corners of the layout as a rectangle that grows uniformly as the defect radius increases. This is valid for rectilinear layouts and square defects (L INFINITY metric) . Use an incremental critical area algorithm for shorts and opens, which are computed for rectilinear layouts assuming square defects. Non-rectilinear layouts are approximated, first, by a rectilinear layout using a shape processing tool. The critical area for the rectilinear approximation is computed using the preferred incremental method.

The invention discloses a material defect infrared thermal imaging detection and targeted elimination method in laser metal forming. In laser metal forming, after layers with fixed interlayers are produced, a workbench is controlled by a computer to move in the horizontal direction at a constant speed, thus an infrared thermal imaging detection lens can move in the horizontal direction above the imaging plane and carries out non-contact scanning and photo-taking by utilizing the residual heat of metal parts, and then the infrared thermal imaging detection images are analyzed online to calculate the coordinate azimuth of the metal forming plane. The computer control laser beams to target-melt the detected defects so as to eliminate the defects; after laser re-melting, an infrared thermal imaging detector is used to re-examine the metal forming surface to confirm the defect elimination effect. The provided method solves the problems that the defects on micro materials cannot be detected online and eliminated, effectively improves the using performance and service safety of laser formed metal parts, and reduces the risk of fatigue breakage.

The invention discloses a CEEMD and wavelet packet-based ultrasonic signal denoising method. The method comprises the steps of firstly performing mode decomposition on a signal by utilizing a CEEMD algorithm to obtain a series of intrinsic mode functions and a trend term; secondly performing soft threshold denoising on noise dominant modes in the intrinsic mode functions, and performing adaptive rule denoising of an unbiased risk estimate principle for signal dominant modes; and finally further denoising the signal by utilizing a fine decomposition capability of wavelet packet analysis. According to the CEEMD algorithm, two opposite white noises are added to an original signal, EMD is performed and results are averaged; the end effect and the mode aliasing problem can be effectively eliminated; and the signal is further denoised under the condition of not adding auxiliary noises through wavelet and wavelet packet decomposition. The denoising method has better performance in comparisonwith that of a conventional denoising method. The denoising method can be widely applied to the material defect signal processing.

The invention discloses an electronic die cutting material defect detecting implementation method based on machine vision. The method comprises the following steps of (a) loading a detection template; (b) transferring a detection object; (c) monitoring through a sensor; (d) capturing an image; (e) identifying an object; (f) processing the image; (g) carrying out binarization processing; (h) carrying out data statistics and detection analysis. The method adopts a non-contact optical sensor system, and adopts a machine to replace human eyes to measure and judge, a system utilizes a CCD (Charge Coupled Device) camera for capturing the image of an objective measuring object, and information such as pixel distribution, brightness and color of the image of the objective measuring object is converted into digital image signals; a project control system operates the signals to extract the characteristics of the measuring object; finally, field equipment is controlled to act according to tolerance and other condition output results so as to meet the core demands on on-line detection of product defects and dimension measurement, so that the measurement precision, the measurement speed, and the reliability under an industrial site environment can be ensured.

The invention relates to a frangibility index method for evaluating seam floor water inrush, which comprises the following steps: determining main control factors of the seam floor water inrush by taking GIS as an operating platform based on a multi-source information fusion theory, and establishing a sub-subject layer diagram for each main control factor through data acquisition, analysis and processing; determining the 'contribution' or the 'weight' of each main control factor to a complex water inrush process and establishing a forecast evaluation model for the seam floor water inrush through the inversion identification or the learning training of the model by applying a multi-source geoscience data composite superposition principle and adopting a modern linear or non-linear mathematical method; and reasonably determining a subarea threshold value of the water inrush frangibility according to the analysis of a frequency histogram of water inrush frangibility indexes calculated by each unit in a research area and finally making a scientific division and a forecast evaluation on the seam floor water inrush frangibility. The method well overcomes the difficulty of the forecast evaluation on the seam floor water inrush, breaks through the restriction by significant deficiencies that the conventional water inrush coefficient method for the seam floor water inrush evaluation can only consider two control factors and has no influence 'weight' concept and the like, and adopts the GIS and the modern non-linear mathematical coupling method to truly depict the non-linear dynamic process of the seam floor water inrush which is controlled by a plurality of factors and has a very complicated formation mechanism.

The invention provides a method and a device for coaxial combined machining with tubular electrode discharging and laser irradiation, and belongs to the field of non-traditional machining and combined machining. Micro-etching machining is performed on the surface of an insulating high-hardness brittle material by virtue of a coaxial action of cone-shaped tube electrode discharging and laser irradiation, recessive material defects and stress concentration generated by pulsed laser acting on the surface of a workpiece can attract spark discharge to always act on the current area, and meanwhile, the spark discharge changes the surface shape and physico-chemical property of the current area, then nonlinear absorption of the current area on laser energy is improved, a local field enhancement effect is generated, and pulsed laser focused irradiation can accelerate an electrochemical reaction to promote generation of a stable discharge gas film layer on the surface of a hollow tool electrode; and the interactive cooperation of two types of energy achieves fixed-area micro-etching of the insulating high-hardness brittle material, the machining efficiency is significantly improved, and the machining quality is improved.

An optical defect detection method and a system thereof are disclosed. The detection method includes a process of detecting an image of an optical film by an optical detector. The image is converted into a clean detection image by conducting the following processes: uniforming the brightness, enhancing the contrast, filtering off the noise, smoothing the image and binarizing the image. A relative relation between a pixel and the surrounding pixels of the clean detection image is converted into a spatial relation sequence model. The spatial relation sequence model is compared to the different types of the defect sequence model, so that the defect type of the optical film is identified as a point defect, a lack of material defect or a ripple defect.

A system and method for determining lateral thermal diffusivity of a material sample using a heat pulse; a sample oriented within an orthogonal coordinate system; an infrared camera; and a computer that has a digital frame grabber, and data acquisition and processing software. The mathematical model used within the data processing software is capable of determining the lateral thermal diffusivity of a sample of finite boundaries. The system and method may also be used as a nondestructive method for detecting and locating cracks within the material sample.

A system for detecting defects in a combustion duct of a combustion system of a combustion turbine engine while the combustion turbine engine operates, wherein the combustion duct comprises a hot side, which is exposed to combustion gases and, opposing the hot side, a cold side. In one embodiment, the system comprises: a photodetector aimed at the cold side of the combustion duct, the photodetector being configured to detect a visible change to the cold side of the combustion duct.

The invention discloses an online detecting and eliminating device and method for melt channel material defects in laser metal forming. The device and method are suitable for a laser metal deposition forming process. The device comprises four optical fiber type double-color temperature gauges, and four temperature measuring probes of the optical fiber type double-color temperature gauges are fixed to the left side, the right side, the front side and the back side of a coaxial powder feeding nozzle of a forming system correspondingly; detection aiming points of the four temperature measuring probes are aligned with the left side, the right side, the front side and the back side of a forming scanning laser spot on a forming plane correspondingly, the detection aiming points are away from the center of the laser spot by a certain micro-distance, and the four temperature measuring probes, the coaxial powder feeding nozzle and a laser beam move together; during forming, when the coaxial powder feeding nozzle and the laser beam conduct forming scanning in any one of the -X direction, the X direction, the -Y direction and the Y direction, the temperature measuring probe located at the side opposite to the scanning direction of the coaxial powder feeding nozzle is used for detecting the temperature of the position, away from the laser spot by a certain micro-distance, of a high-temperature melt channel, and when the temperature mutates abnormally, it is judged that the material defects exist in the position, the defect positions are determined, and laser targeted remelting is carried out on the defects.

This invention provides a photoresist coating liquid supplying apparatus and a photoresist coating liquid supplying method, for supplying a photoresist coating liquid having a low particle content to a photoresist coating apparatus, and a photoresist coating apparatus using such a photoresist coating liquid supplying apparatus, which can realize coating without causing significant defects in a cost-effective manner. The photoresist coating liquid supplying apparatus comprises a buffer vessel for a photoresist coating liquid, a circulation filtering apparatus for drawing a part of the coating liquid from the buffer vessel, filtering the coating liquid, and then returning the filtered coating liquid to the buffer vessel, and a pipe for supplying the coating liquid from the buffer vessel or the circulation apparatus to a coating apparatus. The photoresist coating liquid supplying method uses the photoresist coating liquid supplying apparatus. The photoresist coating apparatus comprises a combination of the coating liquid supplying apparatus with a slit coating apparatus.

The invention discloses a material defect detector and a material defect detection method. The material defect detector comprises a planar array sensor, a control circuit and a result output module, wherein the planar array sensor comprises multiple detection electrodes, an end part shielding electrode, an interstage shielding electrode, a sensor substrate, signal lines and a substrate back surface shielding layer; the control circuit is connected with the multiple detection electrodes for controlling voltage drive on the multiple detection electrodes; the multiple detection electrodes are arranged above the sensor substrate in an array manner, the substrate back surface shielding layer covers the back surface of the sensor substrate, and the signal lines are distributed on the back surface of the sensor substrate; the signal lines are connected with the multiple detection electrodes, are also connected with the result output module, are used for transmitting detection signals to the result output module; the result output module is used for outputting corresponding detection results according to the detection signals. By utilizing the scheme provided by the invention, the nondestructive testing to the interior of a material is realized.

The invention discloses a method for measuring defect thickness in carbon/silicon carbide composite material, comprising the following steps: a defect material sample, the thickness of which is changed in a way of gradient, is designed and prepared; a measuring sample is photographed by X-ray; a photoplate is scanned to be an electronic picture so that a gray level image thereof is obtained; ratio between the gray level of each defect area of the image and the gray level of no-defect area of the image is obtained by computing in a way of programming so as to establish a calibration function relational expression of the defect depth and the corresponding gray level ratio; and the defect thickness of the same material is computed with the calibration function under the same detecting condition to realize the quantitative measurement of the defect depth. The method conquers the defects of small detecting area, large error, low detecting efficiency, and the like, since the traditional X-ray photographing nondestructive detecting method detects the defect thickness with a nigrometer at one time, establishes the calibration function relationship of the ratio of the material defect thickness, the material defect gray level and the material no-defect gray level, realizes the quantitative measurement of the defect depth of the material, and has high detecting efficiency and higher precision.

The invention belongs to the field of environmental catalysis, and discloses a photocatalyst for efficiently degrading tetracycline under visible light and a preparation method and application of thephotocatalyst. The preparation method of the photocatalyst comprises the following steps: mixing a nitrogen-containing compound in water, carrying out hydrothermal treatment, cooling, transferring into a culture dish, and carrying out freeze drying treatment to obtain a precursor; and putting the precursor into a closed environment for high-temperature roasting, and naturally cooling to obtain thegraphite-phase carbon nitride photocatalyst for efficiently degrading tetracycline under visible light. According to the preparation method, the raw materials are mixed for hydro-thermal treatment and freeze-drying treatment to obtain the precursor, the graphite-phase carbon nitride obtained through constant-temperature roasting under different conditions has a relatively high specific surface area, and the separation of photo-induced electrons and holes can be effectively promoted through the formation of material defects; therefore, the purpose of efficiently degrading 10 mg/L tetracyclinehydrochloride under visible light is achieved.

A system for detecting defects in a combustion duct of a combustion system of a combustion turbine engine while the combustion turbine engine operates, wherein the combustion duct comprises a hot side, which is exposed to combustion gases and, opposing the hot side, a cold side. The system may include: an indicator coating disposed on an outer surface of the combustion duct, the indicator coating comprising a detectable substance; and a gas sensor positioned downstream of the combustor, the gas sensor configured to take a measurement of the amount of the detectable substance in the combustion products of the combustion turbine engine.

The invention discloses a pulsed excitation-based dynamic thermal chromatography imaging detection system and method and belongs to the technical field of imaging detection. The system comprises a mobile station, a first xenon lamp, a first xenon lamp power line, a thermal infrared imager, an Ethernet cable, a computer, a USB data line, a data collection card, a BNC trigger signal line, a vertical lifting platform, a second xenon lamp power line, a BNC data line, a xenon lamp power supply and a second xenon lamp. The pulsed excitation-based dynamic thermal chromatography imaging detection system and method have the advantages that non-destructive and non-contact efficient detection of defects of surfaces and shallow surfaces of a composite material, a metal material, an inorganic nonmetallic material and a synthetic material can be achieved, and meanwhile, the system and the method are not limited by the size of a detected material; lateral heat diffusion of heat flow can be relatively well reduced, thereby improving the signal-to-noise ratio (lightweight) of defect detection; by adopting the xenon lamps as light sources, short-time high power (time 1/600s and short-time peak power 4,000W) injection of energy can be ensured; and three-dimensional reconstruction of material defects can be achieved.

The invention discloses an aluminum profile defect detection method based on an improved Faster-RCNN. The method comprises the steps of selecting a plurality of aluminum material defect images, performing data enhancement for a distribution imbalance phenomenon of a data set to set parameters of a Faster-RCNN model; the aluminum profile defect detection method comprising the steps of preprocessingan aluminum profile defect image, training a defect data set on a Faster-RCNN network, storing a final detection model, and detecting aluminum profile defect data by utilizing the trained improved Faster-RCNN model. The improvement points of the method on a Faster-RCNN model are as follows: 1, optimization is performed by adopting a feature pyramid method aiming at an extreme length-width ratio phenomenon of aluminum profile defects; 2, for the phenomenon that the defect shape is irregular, more defect shapes are learned by adopting deformation convolution; 3, for the phenomenon of feature loss of the small target in the feature extraction process, improving the survival rate of target defect features in a high-level network by adopting hole convolution; and 4, aiming at the phenomenon ofinaccurate positioning of small defects, more accurate positioning information is obtained by adopting an ROI Pooling method.

The invention discloses a transparent material defect detection system and method. The system includes: at least one detection unit, including an imaging device and a combination light source, the imaging device is used for imaging and scanning the transparent material; the combination light source is used for providing various lighting mode; at least one mirror imaging component is used for virtual imaging of transparent material defects; the transmission device is used for causing relative movement between the transparent material and the detection unit; the controller is used for controlling the time-sharing switching of various lighting modes and Image acquisition by the imaging device; the processor is communicatively connected with the controller and at least one imaging device. It realizes the multi-channel image acquisition of transparent material defects. Compared with the existing defect detection system, it greatly enriches the amount of image acquisition information, improves the accuracy and precision of defect information, and improves the detection of transparent material defects. The detection rate and recognition rate are convenient for the subsequent analysis of the specific three-dimensional position of product defects and the analysis of product defect types.

A low defect (e.g., dislocation and micropipe) density silicon carbide (SiC) is provided as well as an apparatus and method for growing the same. The SiC crystal, grown using sublimation techniques, is preferably divided into two stages of growth. During the first stage of growth, the crystal grows in a normal direction while simultaneously expanding laterally. Although dislocations and other material defects may propagate within the axially grown material, defect propagation and generation in the laterally grown material are substantially reduced, if not altogether eliminated. After the crystal has expanded to the desired diameter, the second stage of growth begins in which lateral growth is suppressed and normal growth is enhanced. A substantially reduced defect density is maintained within the axially grown material that is based on the laterally grown first stage material.

An infrared coherent thermal wave imaging system and a detection method based on the system belong to the field of infrared imaging nondestructive detection. Two signal output ends of a computer are connected with signal input ends of an infrared thermal imager and a function generator correspondingly; two signal output ends of the function generator are connected with signal input ends of a first laser power supply and a second laser power supply correspondingly; current output ends of the first laser power supply and the second laser power supply are connected with current input ends of a first laser and a second laser correspondingly; laser output ends of the first laser and the second laser are connected with laser input ends of a first collimating mirror and a second collimating mirror correspondingly; and a moving platform is arranged in front of the first collimating mirror and the second collimating mirror. A tiny defect of a detected test piece is detected by a double-beam coherent laser coherent subtraction principle, the disadvantage that the traditional detection method is insensitive on tiny defect detection is overcome, and the signal to noise ratio of detecting a material defect by infrared thermal wave is greatly increased by a coherent excitation loading mode.

Disclosed is a detection system for nondestructive flaw detection of digital imaging tube bars, which is characterized that: the detection system for nondestructive flaw detection of digital imaging tube bars comprises a table for workpiece to be detected (1), a loading conveyer table (2), a docking mechanism (3), a high-speed detecting table (4), a disengaging mechanism (5), an unloading conveyer table (6), a separating mechanism (7), a qualified workpiece storehouse (8), an unqualified workpiece storehouse (9), a water circulation system (10), a nondestructive testing instrument system (11) and an electric control system (12). The detection system has the advantages that the sizes and locations of defects can be displayed directly according to the detection records, the conclusion can be made by simple analysis and interpretation of the displayed graphics and data, the time needed for analysis is short, and the requirements to the technical level of analysts are not high.