A sensor framework for combined data streams and in-situ characterization of machining processes

Botkina, Darya (author): KTH,Powertrain manufacturing for heavy vehicles application lab, PMH

Lundholm, Thomas, 1957- (author): KTH,Powertrain manufacturing for heavy vehicles application lab, PMH

(creator_code:org_t)

Related links:: https://doi.org/10.1...; show more...; https://doi.org/10.1...; https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Abstract Subject headings

Machining vibrations is a critical phenomenon in the industry as they negatively affect the quality and tool-life. One common avoidance strategy for machining vibrations is the fine-tuning of process parameters, thus leading to longer production time. Our research addresses this challenge and uses different streams of data to classify problematic processes. Data streams of machining parameters, tool position, loads, vibration sensors, together with process plan data and cutting tool usage information, are visualized. Experiments are performed to derive classification criteria. These results are then used to observe vibrations in a five-axis machining center for further process adjustment.

TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

By the author/editor: Botkina, Darya; Peukert, Bernd; Gebhard, Tilman; Schwarz, Benedik ...; Archenti, Andrea ...; Lundholm, Thomas ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Production Engin ...

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