Improving machining efficiency by machine system intelligence

Digitalization and the implementation and application of sensor integrated ‘intelligent’ tools, fixtures and machine tool components provide a huge potential regarding the optimization of manufacturing systems in terms of productivity, quality, flexibility, reliability and availability as well as economic viability. Moreover, these approaches can essentially contribute to a reduction of energy and resource consumption and, thus, to an improved efficiency with respect to the environmental impact of production. This publication presents some exemplary technologies and discusses their potential regarding a reduction of the CO2 footprint in manufacturing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-07
DOI
https://doi.org/10.5281/zenodo.13886324
Primary Topic
Digital Transformation in Industry
Type
article
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article

Improving machining efficiency by machine system intelligence

Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

Improving machining efficiency by machine system intelligence

article en

Abstract

Digitalization and the implementation and application of sensor integrated ‘intelligent’ tools, fixtures and machine tool components provide a huge potential regarding the optimization of manufacturing systems in terms of productivity, quality, flexibility, reliability and availability as well as economic viability. Moreover, these approaches can essentially contribute to a reduction of energy and resource consumption and, thus, to an improved efficiency with respect to the environmental impact of production. This publication presents some exemplary technologies and discusses their potential regarding a reduction of the CO2 footprint in manufacturing.

Zenodo (CERN European Organization for Nuclear Research)
University of Stuttgart (DE)
Decent work and economic growth
Openalex Percentile: Top 53%
Digital Transformation in Industry
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