1、 Measurement accuracy and resolution advantages

1. Extremely high measurement accuracy

Nanoscale resolution: Some high-end models (such as those equipped with optical interference technology or atomic force microscope modules) can achieve 0.01 μ m indentation measurement, with a hardness value error of ≤± 1%, meeting the micro mechanical property characterization requirements of nanomaterials (such as graphene and quantum dots).

Closed loop feedback control: high-precision sensors (such as capacitive displacement sensors) are used to monitor the displacement of the pressure head in real time, combined with PID algorithm to dynamically adjust the loading force, avoiding the inertia error of traditional mechanical loading (such as hardness value deviation caused by loading rate fluctuations>5%).

2. Stability under small loads

Micro Newton level load control: capable of applying small loads ranging from 1mN to 1000mN (traditional hardness testers typically have a minimum load of 100gf, or 980mN), suitable for measuring the hardness of thin films (such as coating thickness<1 μ m), microelectromechanical system (MEMS) components, or biomaterials (such as bones and teeth), to avoid macroscopic deformation of materials caused by large loads masking their true microscopic properties.

2、 Wide applicability of materials and structures

1. Multi type material coverage

From superhard materials to soft materials:

Ultra hard materials: micro hardness testing of diamond and silicon carbide (HV>2000);

Soft materials: indentation analysis of polymers and biological tissues (such as rubber Shore hardness equivalent measurement), avoiding sharp indenters piercing the sample by selecting spherical indenters.

Composite material characterization: Point by point hardness mapping can be performed on micro areas such as coating matrix interfaces, grain boundaries, and precipitated phases (such as carbides in steel) to reveal the correlation between material microstructure and properties (such as hardness gradient analysis of heat affected zones in welded joints).

2. Measurement of complex geometric structures

Adaptation between curved and irregular surfaces: By using an automatic focusing optical system and a tilted sample stage (adjustable by ± 15 °), it is possible to measure curved surfaces such as gear teeth, tool edges, and pipe inner walls, breaking through the limitation of traditional hardness testers that can only test flat surfaces.

Ultra thin sample compatibility: Supports measurement of sample thickness as low as 50 μ m (with backing support), meeting the quality control requirements of ultra-thin materials such as semiconductor wafers (thickness<300 μ m) and electronic packaging substrates.

3、 Intelligent and automated functions

1. Full process automation

Automatic indentation cycle: Multiple measurement paths can be preset (such as grid like or linear array), and the instrument automatically completes positioning, loading, holding, unloading, and image acquisition. The single measurement cycle time is less than 30 seconds (traditional manual operation takes 5 minutes/point), greatly improving the efficiency of batch detection.

AI algorithm assisted analysis: using machine learning models to automatically identify indentation boundaries (with an error of less than 2 pixels), avoiding subjective biases in manual interpretation; Some models support 3D reconstruction of indentation morphology (such as through confocal microscopy), calculating the true contact area to correct the hardness value.

2. Data management and traceability

Integrated database system: capable of storing comprehensive data such as measurement location, load, hardness value, optical image, etc., supporting CSV/Excel format export and SQL database docking, meeting the traceability requirements of quality management systems such as ISO/IEC 17025.

Real time trend analysis: By using software to draw hardness distribution cloud maps and depth hardness curves (such as the hardness gradient of the carburized layer), the uniformity of material properties can be visually displayed, and process optimization can be assisted (such as adjusting heat treatment parameters).