新しいソフトウェアプラットフォームが製造部品の表面仕上げの理解を深める(New Software Platform Advances Understanding of the Surface Finish of Manufactured Components)

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ドイツ・フライブルク大学とピッツバーグ大学の科学者が、デジタルツインで表面形状の測定を組み合わせたプラットフォームを開発 Scientists from University of Freiburg, Germany, and the University of Pittsburgh develop platform that combines measurements of surface topography in a digital twin

2022-09-19 ピッツバーグ大学

ドイツ・フライブルク大学とピッツバーグ大学の科学者は、表面の分析を容易にし、標準化するソフトウェアプラットフォームを開発しました。
「contact.engineering」プラットフォームにより、ユーザーは表面のデジタルツインを作成し、例えば、磨耗の早さや熱伝導性、他の素材との密着性などの予測に役立てることができる。
異なるツールから取得したさまざまなデータを自動的に統合し、測定誤差を修正し、そのデータを使って表面のデジタルツインを作成する。このプラットフォームは、統計的な指標を計算し、表面に力学的なモデルを適用することで、挙動を予測するのに役立つ。

<関連情報>

Contact.engineering-地形計測によるデジタルサーフェスツインの作成、解析、公開を様々なスケールで行う。 Contact.engineering—Create, analyze and publish digital surface twins from topography measurements across many scales

Michael C Röttger,Antoine Sanner, Luke A Thimons, Till Junge, Abhijeet Gujrati, Joseph M Monti, Wolfram G Nöhring, Tevis D B Jacobs and Lars Pastewka
Surface Topography  Published 14 September 2022
DOI:https://doi.org/10.1088/2051-672X/ac860a

Abstract

The optimization of surface finish to improve performance, such as adhesion, friction, wear, fatigue life, or interfacial transport, 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 (available at https://contact.engineering) 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 techniques, and then integrates all of them together to create a digital surface twin. Second, the application calculates many of the commonly used topography metrics, such as root-mean-square parameters, power spectral density (PSD), and autocorrelation function (ACF), as well as implementing analytical and numerical calculations, such as boundary element modeling (BEM) for elastic and plastic deformation. Third, the application serves as a repository for users to securely store surfaces, and if they choose, to share these with collaborators or even publish them (with a digital object identifier) for all to access. The primary goal of this application is to enable researchers and manufacturers to quickly and easily apply cutting-edge tools for the characterization and properties-modeling of real-world surfaces. An additional goal is to advance the use of open-science principles in surface engineering by providing a FAIR database where researchers can choose to publish surface measurements for all to use.

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