
David Barton- Master of Science
- Project Lead and Software Engineer at Codewerk
David Barton
- Master of Science
- Project Lead and Software Engineer at Codewerk
About
14
Publications
1,132
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71
Citations
Introduction
Current institution
Codewerk
Current position
- Project Lead and Software Engineer
Additional affiliations
April 2016 - February 2022
Publications
Publications (14)
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...