David Barton

David Barton
  • Master of Science
  • Project Lead and Software Engineer at Codewerk

About

14
Publications
1,132
Reads
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71
Citations
Current institution
Codewerk
Current position
  • Project Lead and Software Engineer
Additional affiliations
April 2016 - February 2022
Karlsruhe Institute of Technology
Position
  • Research Associate

Publications

Publications (14)
Article
Industrie 4.0 verspricht ein hohes wirtschaftliches Potenzial für produzierende Unternehmen. Allerdings wird dieses in bestehenden Werkzeugmaschinen bisher nur wenig ausgeschöpft. Um das Ausrollen von Funktionen für die zustandsorientierte Instandhaltung und die Überwachung des Bearbeitungsprozesses zu ermöglichen, wurde ein modulares Nachrüstkit e...
Conference Paper
Vibrations have a significant influence on quality and costs in metal cutting processes. Existing methods for predicting vibrations in machine tools enable an informed choice of process settings, however they rely on costly equipment and specialised staff. Therefore, this contribution proposes to reduce the modelling effort required by using machin...
Article
Full-text available
An important aspect of the overall quality of machined parts is surface roughness, which depends on cutting parameters, tool condition, and machine vibrations. Online surface roughness prediction in milling operations can reduce set up time and assist in determining economic cutting parameters. However, the adoption of existing solutions in industr...
Article
Full-text available
Collisions are a major cause of unplanned downtime in small series manufacturing with machine tools. Existing solutions based on geometric simulation do not cover collisions due to setup errors. Therefore a solution is developed to compare camera images of the setup with the simulation, thus detecting discrepancies. The comparison focuses on the pr...
Article
Full-text available
Autonomous systems, as found in autonomous driving and highly automated production systems, require an increased reliability in order to achieve their high economic potential. Self-aware sensors are a key component in highly reliable autonomous systems. In this paper we highlight a proof of concept (PoC) of a deep learning method that enables a LiD...
Conference Paper
Collisions are a major cause of unplanned downtime in small series manufacturing with machine tools. Existing solutions based on geometric simulation do not cover collisions due to setup errors. Therefore a concept is developed to enable a sensor-based matching of the setup with the simulation, thus detecting discrepancies. Image processing in the...
Conference Paper
Collisions are a major cause of unplanned downtime in small series manufacturing with machine tools. Existing solutions based on geometric simulation do not cover collisions due to setup errors. Therefore a concept is developed to enable a sensor-based matching of the setup with the simulation, thus detecting discrepancies. Image processing in the...
Article
In machine tools, Industry 4.0 functions can increase availability through predictive maintenance, while other functions improve productivity and workpiece quality through process supervision and optimisation. Many of these functions rely on data communication between systems from different suppliers. Requirements regarding latency and computing va...
Article
Access to data from components in production systems is potentially an enabler for various data-based approaches. This paper presents a practical approach to transform mechanical components into self-describing cyber-physical systems connected within a local network. The requirements for typical use cases are analysed and a modular cyber-physical c...
Article
Dynamische Vorschubachsen tragen maßgeblich zur Produktivität von Werkzeugmaschinen bei. Ihre Inbetriebnahme ist allerdings mit hohen personellen Aufwänden verbunden. Unerwünschte Bearbeitungsschwingungen, sowie ungeplante Ausfälle führen zudem zu signifikanten Produktivitätsverlusten im industriellen Einsatz. Am wbk Institut für Produktionstechnik...
Conference Paper
Calibration of industrial robots can greatly reduce commissioning time by avoiding expensive online programming. This article presents an approach to automating the measurement and compensation of kinematic errors, applied to a lightweight robot arm. A measurement station is designed to automate this calibration process. The measurement is based on...
Technical Report
Full-text available
Industrie 4.0 umfasst unter anderem intelligente Anlagenkomponenten, Maschinen und Anlagen sowie IT-Systeme, die miteinander vernetzt und über die relevanten ‚Partner' mit ihren Fähigkeiten informiert sind. Bei einem Neuaufbau oder Umbau von Anlagen, Maschinen und Komponenten können alle Partner auf die Veränderung entsprechend reagieren. Änderunge...

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