7 results about "Vickers hardness test" patented technology

The invention discloses a method for positioning the minimum energy absorption position of a Charpy impact sample and related equipment, and belongs to the field of weld Charpy impact tests.The method comprises the steps that firstly, Vickers hardness test data of the Charpy impact sample are obtained; fitting Vickers hardness test data to obtain a hardness point matrix, and drawing a hardness distribution color graph according to the hardness point matrix; and finally, the minimum energy absorption position of the Charpy impact sample is obtained through positioning by analyzing the hardness distribution color graph. According to the method, through fitting of Vickers hardness test data and drawing of a hardness distribution color graph, the position of the center line of the Charpy impact sample can be accurately determined, namely, the position of the minimum absorbed energy of the Charpy impact sample is positioned; according to the method, the distance between the center line of the Charpy impact sample of the pipeline steel pipe with the same specification and the same process and the fusion line can be accurately positioned, an important reference basis is provided for determining the position of the center line of the Charpy impact sample in the subsequent inspection process, and the data accuracy and the working efficiency are improved.

The invention relates to the technical field of post-irradiation mechanical sample processing, and provides a post-irradiation mechanical fracture sample processing and recycling method which comprises the following steps: selecting a metal sample which is subjected to neutron irradiation and is fractured after finishing a Charpy impact test or a fracture toughness test; a linear cutting machining mode is adopted, a plastic deformation area at the fracture of the broken metal sample is removed, and a machining unit body in a regular geometrical shape is obtained; detecting the processing unit body by adopting a Vickers hardness detection method; according to the actual size of the machining unit body, machining positions and machining directions of the small-size samples are planned; machining the machining unit bodies into a plurality of small-size samples in a machining manner; after machining is completed, the size of the small-size sample is detected in a non-contact mode through an optical measuring device; and carrying out mechanical property test on the small-size sample by using load test equipment. According to the method, dozens of small-size samples are processed from one standard fracture sample, and the utilization rate of the samples is increased.

The method for predicting Vickers hardness by nanoindentation hardness through a deep learning neural network, in order to solve the problem that the existing Vickers hardness test method is destructive, time-consuming and low in test efficiency.The method for predicting Vickers hardness: I, the sample is treated by carburizing and plasma nitriding; II, the nanoindentation hardness and Vickers hardness of the sample are detected respectively; III, a depth-hardness DNN model is established, the depth-hardness DNN model includes three hidden layers, and the hardness data is expanded and trained through the depth-hardness DNN model; IV, a nanoindentation-Vickers hardness DNN model is established; V, the nanoindentation-Vickers hardness DNN model is trained by using the expanded data set; VI, the Vickers hardness is predicted.The present application constructs a multi-layer deep neural network to process the nonlinear relationship between the nanoindentation hardness and the Vickers hardness, and can accurately predict the Vickers hardness in the range of 400-1000 HV.

The invention relates to the technical field of material mechanical property testing, and discloses a Vickers hardness test control method and system based on multi-parameter optimization. The method comprises the following steps: acquiring load force value distribution data through a sensor, calculating a global load uniformity coefficient and dynamically adjusting an application speed; pressure head inclination angle control parameters are generated in combination with inclination angle sensor data, and an adjusting mechanism is driven to achieve high-precision calibration; geometric features are extracted from the standardized indentation shape, vibration influence coefficients are calculated through fusion of vibration data, and high-frequency vibration is suppressed through a self-adaptive damping algorithm; finally, based on material surface characteristics and mechanical property parameters, the dynamic parameter adjustment model is used for outputting collaborative optimization test control parameters, and through collaborative optimization of multi-sensor closed-loop control and an intelligent algorithm, the precision, stability and data accuracy of the test process are remarkably improved.

The invention provides a material microscopic mechanical property characterization method and system based on inclined section geometric mapping, and relates to the technical field of material microscopic property characterization. Comprising the following steps: acquiring a to-be-detected sample of a to-be-detected isotropic material, and preparing an oblique section with an inclination angle theta; presetting a first judgment condition and a second judgment condition; carrying out Vickers hardness test on the oblique section to obtain a test indentation, judging whether the test indentation meets a first judgment condition or not, and if not, reducing the inclination angle theta of the oblique section; respectively carrying out hardness test on the vertical section and the oblique section of the to-be-tested sample at the same depth position to obtain a hardness test difference value, judging whether the test difference value meets a second judgment condition or not, and if not, reducing the inclination angle theta of the oblique section; and acquiring performance gradient data of the isotropic material to be tested by using the oblique section meeting the requirement, so as to realize microscopic performance gradient characterization of the isotropic material to be tested. According to the invention, accurate capture of submicron gradient features is realized.

This invention provides a lifting mechanism suitable for standard Brinell or Vickers hardness tests, comprising a bottom mounting plate, a support column, a guide mounting plate, a screw jack, and a lifting tray assembly. The lifting tray assembly includes a tray and a main guide shaft. A receiving groove is provided at the bottom of the main guide shaft. The screw jack has an output screw, the top of which is connected to an adapter. The adapter abuts against the top wall of the receiving groove. A clearance groove is provided on the outer wall of the adapter near the output screw end. A set screw is also screwed onto the main guide shaft, with one end extending into the clearance groove. When the tray becomes stuck due to the main guide shaft, the screw jack descends, the adapter contacts the set screw, and as the adapter continues to descend, it pulls the main guide shaft downward, allowing the main guide shaft and the output screw to descend synchronously, preventing damage to the lifting mechanism and avoiding major safety accidents.

The apparatus for surface treatment and machining of dental materials boasts three perpendicular axis movement platforms, a dental handpiece holder or machining means, a gripper platform for securing dental material samples, a cooling system, and a controller unit ensuring repeatable functionality. This innovative method combines surface treatment with machining, ensuring consistent application of force onto material samples. Enhanced with an ultrasonic bath for sample cleaning, integrated UV lamps for chamber disinfection, a profilometer probe for surface roughness measurement, and a Vickers hardness test for material hardness assessment, this device sets a new standard for precision and efficiency in dental material processing.