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Improving machining efficiency by machine system intelligence

Year: 2024

Type: conference-paper

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13886323

Authors: Möhring, Hans-Christian, Georgi, Patrick, Reeber, Tim, Gutsche, Daniel, Werkle, Kim Torben, Engert, Michelle

Institution: University of Stuttgart

Language: English

Topic: Engineering Technology and Methodologies

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Climate action

Open Access status: green

OpenAlex ID: W6893046689

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