[Paper Review] ISO Filters in Precision Engineering and Production Measurement

Michael Krystek|arXiv (Cornell University)|Dec 3, 2010

Advanced Numerical Analysis Techniques12 references3 citations

TL;DR

This paper reviews the new ISO filters introduced in ISO/TS 16610, which extend beyond the traditional Gaussian filter (ISO 11562) to support advanced geometrical product specification and verification in precision engineering. It outlines how these filters enhance data processing in coordinate, form, contour, and surface texture measurements by enabling scale separation and improved signal reconstruction.

ABSTRACT

Filters are used in precision engineering and production measurement to suppress unwanted components in measured data, to reconstruct the sampled surface in case of tactile measurements, or to separate portions of different scales. The application of such filters comprises a wide area, in essence, coordinate measurement, form and contour measurement, as well as surface texture measurement. So far, almost exclusively the Gaussian filter, as standardised in ISO 11562, has been used in this area. But for some time past, a new series of ISO documents (ISO/TS 16610) has been available which - besides the Gaussian filter which is still available - specifies additional filters for the field of geometrical product specification and verification. This publication gives an overview of these new ISO filters.

Motivation & Objective

• To provide an overview of the new ISO filter series (ISO/TS 16610) for geometrical product specification and verification.
• To address the limitations of relying solely on the Gaussian filter in precision measurement applications.
• To support improved data processing in coordinate, form, contour, and surface texture measurements through standardized, scale-specific filtering.
• To promote the adoption of advanced filtering techniques that enable better separation of surface features and reconstruction of sampled surfaces.

Proposed method

• Reviewing the ISO/TS 16610 series, which standardizes a range of filters beyond the Gaussian filter.
• Analyzing the functional roles of filters in suppressing noise, reconstructing tactile measurement data, and separating scale-dependent features.
• Classifying filters according to their application in coordinate measurement, form and contour measurement, and surface texture analysis.
• Comparing the performance and applicability of Gaussian and alternative filters in precision engineering contexts.
• Highlighting the standardization framework that enables consistent implementation of filters across measurement systems.
• Emphasizing the importance of filter selection for accurate geometrical product verification and specification.

Experimental results

Research questions

• RQ1 What are the key limitations of relying exclusively on the Gaussian filter in precision measurement applications?
• RQ2 How do the new ISO filters in ISO/TS 16610 improve upon the Gaussian filter for surface and form analysis?
• RQ3 In what ways do the new filters enhance scale separation and signal reconstruction in tactile and coordinate measurements?
• RQ4 What are the practical implications of adopting multiple standardized filters in industrial measurement workflows?
• RQ5 How do the new ISO filter standards support consistency and accuracy in geometrical product verification?

Key findings

• The ISO/TS 16610 series introduces a comprehensive set of filters beyond the Gaussian filter, enabling more precise and flexible data processing in precision engineering.
• These new filters support better separation of form, waviness, and roughness components in surface texture analysis.
• The standardization of multiple filter types ensures consistency and interoperability across different measurement systems and industries.
• The filters enhance the accuracy of reconstructed surfaces in tactile measurement by reducing noise and preserving relevant geometric features.
• The adoption of these filters allows for improved verification of geometrical product specifications in manufacturing and quality control.
• The new filters provide a structured framework for selecting appropriate filtering techniques based on the specific requirements of coordinate, form, contour, and surface texture measurements.