G01N2203/0218

Determination of young'S modulus of porous thin films using ultra-low load nano-indentation

A method and computer product program for determining Young's modulus. The method includes placing a probe in contact with a surface of a material on a substrate and, with an initial force of 800 nano newtons or less; determining the location of the surface relative to an initial indentation depth for the initial force; increasing the force on the probe from the initial force to a maximum force greater than the initial force to generate a load curve; decreasing the force on the probe from the maximum force to the initial force to generate an unload curve, the maximum force selected such that the unload curve is independent of the presence of the substrate; and using the unload curve, determining a relationship between (i) the reduced modulus of the sample material and (ii) the ratio of probe penetration depth and the thickness of the layer.

LAMINATED IRON CORE ELASTIC MATRIX DETERMINATION METHOD AND VIBRATION ANALYSIS METHOD
20210404992 · 2021-12-30 · ·

An elastic matrix determination method for a laminated iron core, which can optimally determine a shear modulus in two planes including a laminating direction of the laminated iron core included in an elastic matrix in a constitutive equation representing a stress-strain relationship used for vibration analysis, and also provided is a vibration analysis method. When performing a vibration analysis of a laminated iron core formed by laminating steel sheets using a constitutive equation representing a stress-strain relationship in a matrix representation, a shear modulus in two planes including a laminating direction of the laminated iron core included in an elastic matrix in the constitutive equation is determined depending on an average tightening pressure in the laminating direction of the laminated iron core.

Discrete element method for modelling a fracture evolution of a roadway surrounding rock

A discrete element method for modelling fracture evolution of roadway surrounding rock is provided, which includes: taking rock cores from a coal seam in the field and recording RQD values, observing roadway deformation, and making a statistical analysis on distribution characteristics of fractures in the coal seam; testing mechanical parameters of coal-rock samples indoors, and calculating strength of a rock mass according to the RQD values; creating a numerical model by using a UDEC-Trigon module to adjust the parameters to match the strength of the rock mass, and correcting model parameters; and creating a numerical model of an engineering scale to adjust the parameters to match field deformation characteristics, and finally simulating fracture evolution of the roadway surrounding rock. The present invention provides accurate and basic mechanical parameters for discrete-element numerical simulation of roadway deformation, guaranteeing realistic and reliable simulation results.

HARDNESS TESTING SYSTEMS
20210372897 · 2021-12-02 ·

A system for measuring a mechanical property of a material or component under test comprises a hardness testing device with a computing device. The hardness testing device is configured to measure at least one measurement value indicative of a hardness of a material or component under test. The computing device includes a display, a processor, and memory. The memory has instructions that, when executed, cause the processor to control the hardness testing device to measure a measurement value indicative of hardness of a material. Executing the instructions further causes the processor to control to save testing data to a database. The computing device accesses the database, calculates a parameter related to hardness, and displays at least one of the portion of the database and the parameter related to hardness.

MACHINE LEARNING TECHNIQUES FOR ESTIMATING MECHANICAL PROPERTIES OF MATERIALS

Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

METHOD FOR EVALUATING BENDING CRACK, SYSTEM FOR EVALUATING BENDING CRACK, AND METHOD FOR MANUFACTURING PRESS-FORMED COMPONENT
20220168791 · 2022-06-02 · ·

A technology for evaluating forming allowance for a bending crack at a sheared end face of the press-formed component from shape information of an actual component. The method includes applying press forming including bending deformation to a metal sheet being sheared to manufacture a press-formed component, evaluating forming allowance for a bending crack at a sheared end face being an end face subjected to the shearing. A crack index value for evaluating the bending crack at the sheared end face of the press-formed component is obtained from a bend outer side strain at or near the sheared end face acquired on a basis of a component shape of the press-formed component and a press die bend radius at a portion forming the sheared end face in a press die used in the press forming, and the forming allowance for the bending crack is evaluated by the obtained crack index value.

Hardness meter and method having hardness estimation portion that estimates hardness of measurement object based on alternating current component

The objective of the present invention is to provide a hardness meter which estimates hardness in a stable manner regardless of a compression strength. Disclosed is a hardness meter characterized in being provided with: a movable portion which is continuously pressed against an object to be measured; a sensor which outputs an output signal reflecting a reaction force at a part of the object to be measured that is in contact with the movable portion; a motive force mechanism that causes the movable portion to perform a piston motion; and a hardness estimating portion which estimates the hardness of the object to be measured on the basis of an alternating current component of the output signal, generated by the piston motion of the movable portion.

Material testing machine
11740165 · 2023-08-29 · ·

A material testing machine is provided. The material testing machine includes a force detector that detects the testing force that acts on the target to be tested; a displacement detector that detects displacement generated in the target to be tested; and a controller that controls the load mechanism. The controller includes: a differential displacement calculator that obtains a differential displacement value from a value of the displacement detected by the displacement detector and a target displacement value that has been set in advance as a test condition; and a display controller that displays, on a display device, a differential displacement graph indicating, in a form of a graph, time-series data of the differential displacement value calculated by the differential displacement calculator.

Material tester and natural vibration determination-noise elimination thereof
11320354 · 2022-05-03 · ·

An amplitude detecting method and a material tester are provided. As functional blocks of a program that is installed in a personal computer and is stored in a memory, a measurement noise eliminating part that eliminates measurement noise, a vibration noise eliminating part that eliminates vibration noise assumed to be caused by an inertial force according to a natural vibration according to reach of an impact of breakage or destruction of a test piece at the entire tester, an amplitude detecting part that detects the amplitude of a natural vibration superimposed in the data period used for evaluating material characteristics, and a display control part that controls display of an amplitude value of the natural vibration and a test result on the display device are included.

SOIL DENSITY PREDICTION FOR SUBSOIL CROPS

An approach to the prediction of soil density and subsoil crop growth may be provided. The approach may include subsoil sensor which can monitor changes in soil pressure and moisture conditions. The sensor data can be sent to a computer module which can process the data using a machine learning model predicting the soil density around a subsoil crop and the yield of the subsoil crop. A soil maintenance plan can be generated from the soil density prediction and/or the crop yield prediction. The soil maintenance plan can be sent to soil management robots, which can execute the soil maintenance plan.