Hardness testing system
AssigneeSaudi Arabian Oil Company
InventorsSubindas Melapurakkal Mohandas, Tariq A. Al-Ghamdi
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Abstract
The present disclosure relates to hardness testing. In some examples, a system can include memory to store machine-readable instructions, which can be executed by one or more processors to implement a method of determining a hardness of a test material. The machine-readable instructions can include a hardness tester that can be programmed to receive image data that can include one or more images of a test material under hardness testing, analyze the image data to determine an indentation size on a surface of the test material left behind by an indenter during the hardness testing of the test material, and predict the hardness of the test material based on the determined indentation size.
Claims16
A system for determining a hardness of a test material during hardness testing, the system comprising:
- a Brinell microscope camera configured to generate image data during hardness testing, the image data comprising one or more images of a test surface of the test material and a reference surface of a hardness bar, each test surface and reference surface having one or more indentations formed and having one or more features including graininess;
- memory to store machine-readable instructions;
- one or more processors to access the memory and execute the machine-readable instructions to implement a hardness tester operable to:
- receive the image data generated by the Brinell microscope camera in response to a hardness test, wherein a force is applied by a tool to the hardness bar to cause an indenter to form the one or more indentations on the test surface and the reference surface during hardness testing;
- analyze the image data to determine an indentation size of each indentation on the test surface and the reference surface formed by the indenter;
- computing an average indentation size of the determined indentation sizes of the test surface and the reference surface;
- and
- predict, by a hardness predictor, a hardness of the test material based on the average indentation size.
A method for determining a hardness of a test material, the method comprising:
- performing the hardness test by forming a reference indentation on a reference surface of a reference material and simultaneously forming a test indentation on a test surface of the test material;
- imaging, using a digital micro-dimension (DM) camera, the reference and test materials to capture the formed indentations on the reference and test surfaces, and one or more features of the formed indentations including graininess;
- generating, using the DM camera, image data comprising one or more images of the formed reference and test indentations on the respective reference and test surfaces;
- receiving, using a hardness test device, the image data;
- determining, using the hardness test device, a size for each of the reference and test indentations of the reference and test surfaces by analyzing the image data;
- computing, using a hardness predictor of the hardness test device, an average indentation size based on the determined sizes of the reference and test indentations;
- querying, using the hardness test device, a hardness conversion database stored in memory of the hardness test device using the computed average indentation size;
- and
- predicting, using the hardness test device, a hardness of the test material based on results of querying the hardness conversion database.
Dependencies are inferred from the claim text.