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Internet-Based Surface Metrology Algorithm Testing System



Mark C. Malburg, Jayaraman Raja, Son H. Bui, Thomas Brian Renegar, Bui Son Brian, Theodore V. Vorburger


Software is an integral part of most measurement systems and it is particularly important in roughness measurement and analysis. Evaluation and assessment of measured roughness profiles must be performed in accordance with standards. Different types of standards for surface texture have been developed by the International Organization for Standardization (ISO), the American Society of Mechanical Engineering (ASME), and other organizations. These standards may have different surface parameter definitions and evaluation procedures. Furthermore, definitions and procedures may be interpreted differently by practitioners leading to different implementations. The different standards and implementations can therefore yield differences in results. These factors drive the need for a standards working group to help ensure traceability in algorithm development by providing and maintaining a set of master algorithms and data sets for companies, universities, and instrument manufacturers to compare and validate their surface analysis software. This paper presents the development of an Internet-based surface metrology algorithm testing system. The system includes peer-reviewed surface analysis tools and a surface texture specimen database for parameter evaluation and algorithm verification. The system runs from a Website at the National Institute of Standards and Technology (NIST), USA. Companies, universities, and instrument manufacturers have remote access to standard data sets and analysis tools located on a NIST server. The system serves to validate the accuracy of algorithms as well as the calculation of surface parameters in industry.
Modeling, Simulation and Prediction of Rockwell Hardness Indentation


algorithm, internet-based, surface metrology, testing system


Malburg, M. , Raja, J. , Bui, S. , Renegar, T. , Brian, B. and Vorburger, T. (2005), Internet-Based Surface Metrology Algorithm Testing System, Modeling, Simulation and Prediction of Rockwell Hardness Indentation, [online], (Accessed February 29, 2024)
Created December 31, 2004, Updated October 12, 2021