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2 results about "Vickers hardness test" patented technology
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The Vickers hardness test was developed in 1921 by Robert L. Smith and George E. Sandland at Vickers Ltd as an alternative to the Brinell method to measure the hardness of materials. The Vickers test is often easier to use than other hardness tests since the required calculations are independent of the size of the indenter, and the indenter can be used for all materials irrespective of hardness. The basic principle, as with all common measures of hardness, is to observe a material's ability to resist plastic deformation from a standard source. The Vickers test can be used for all metals and has one of the widest scales among hardness tests. The unit of hardness given by the test is known as the Vickers Pyramid Number (HV) or Diamond Pyramid Hardness (DPH). The hardness number can be converted into units of pascals, but should not be confused with pressure, which uses the same units. The hardness number is determined by the load over the surface area of the indentation and not the area normal to the force, and is therefore not pressure.
Method for predicting vickers hardness by nanoindentation hardness using deep learning neural network
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.
Owner:HARBIN INST OF TECH
A lifting mechanism suitable for use with standard brinell or vickers hardness machines
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.
Owner:FUJIAN METROLOGY INST