Study on visualization of the measurement results for “S” shape specimen and its software development

The “S” shaped specimen has become a necessary step for Chinese factories to inspect the machining performance of five-axis CNC machine tools. Visualization of measurement results of the “S” shaped specimen was studied to facilitate the analysis of CNC machine tool errors and improve debugging efficiency. First, the geometric characteristics and existing measurement methods of the specimen are analyzed, the point cloud data of the specimen is obtained and preprocessed which lay the foundation for visualizing the measurement results of the specimen. Then, The Kriging interpolation method was used to map the positional errors of the measurement points onto the point cloud of the entire surface, obtaining dense surface error data. The visualization of the measurement results of the specimen was achieved using chromatograms and layered display, and then the visualization results were experimentally validated. Finally, based on the above processing flow and related algorithms, a measurement result visualization software for “S” shape specimen was developed using Python, this software is compact, lightweight, and highly portable, making it suitable for engineering applications.