contact.engineering -- Create, analyze and publish digital surface twins from topography measurements across many scales
Michael C. R\"ottger, Antoine Sanner, Luke A. Thimons, Till Junge,, Abhijeet Gujrati, Joseph M. Monti, Wolfram G. N\"ohring, Tevis D. B. Jacobs,, Lars Pastewka

TL;DR
This paper introduces a free, web-based platform that integrates multi-scale surface measurements, calculates key topography metrics, and facilitates sharing and publishing of digital surface twins to enhance surface engineering research.
Contribution
The paper presents an innovative online tool that combines diverse surface measurements, performs advanced spectral and mechanical analyses, and promotes open science through data sharing and publication.
Findings
Enables integration of various surface measurements into a digital twin
Calculates multiple topography metrics and performs spectral and mechanical analyses
Supports FAIR data principles and facilitates surface data sharing and publication
Abstract
The optimization of surface finish to improve performance occurs largely through trial and error, despite significant advancements in the relevant science. There are three central challenges that account for this disconnect: (1) the challenge of integration of many different types of measurement for the same surface to capture the multi-scale nature of roughness; (2) the technical complexity of implementing spectral analysis methods, and of applying mechanical or numerical models to describe surface performance; (3) a lack of consistency between researchers and industries in how surfaces are measured, quantified, and communicated. Here we present a freely-available internet-based application which attempts to overcome all three challenges. First, the application enables the user to upload many different topography measurements taken from a single surface, including using different…
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