五月 2026 使用人工智能评估细片层状珠光体相中的硬度压痕
Hardness testing of cold-work steels, such as 1.2516 tool steel, is essential for evaluating the increase in strength and wear resistance caused by plastic deformation. Cold working introduces strain hardening, which significantly raises hardness but may also create microstructural inhomogeneities that require precise measurement. The QNESS 60 A+ EVO micro hardness tester from QATM enables highly accurate and reproducible results through its advanced optical system, automated test cycles, and precise XYZ positioning. It supports multiple methods, including Vickers and Knoop, and allows fully automated testing with high throughput and minimal operator influence.
In addition, the QAI artificial intelligence indentation system enhances the evaluation process by automatically detecting hardness indentations, even on difficult or low-contrast surfaces. This AI-based image analysis improves accuracy, repeatability, and efficiency while reducing manual intervention. Together, these technologies ensure reliable characterization of hardened microstructures in advanced steel materials.
In this preparation of the month, you can experience how a normalized cold-work steel can be prepared and how the hardness testing can be done after etching and microstructure analyzing without polishing the sample once again.
