Managing quality control of laser machining

Markus Bohrer; Georg Hutflesz; Manfred Bammer; Stephan Fazeny

Managing quality control of laser machining

Markus Bohrer
, Georg Hutflesz
, Manfred Bammer
, Stephan Fazeny

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

"Plasmo", a novel designed fast signal processor based device has been developed. We use this modular system for the immediate evaluation of the quality of laser material processing. With this tool the machining process can be analyzed in real-time. An adaptable algorithm ensures that this system automatically adapts to parameter fluctuations during welding or cutting. A summary of our experience in the use in car industry is presented in this paper. We also present new ideas and first results to expand this system to detect the full spectrum of emitted light during process instead of two wavelengths used up to now.

Original language	English
Title of host publication	SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing Sensors and Controls for Intelligent Machining II
Pages	5
Number of pages	1
Publication status	Published - 1999
Event	SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing - Duration: 1 Jan 1999 → …

Conference

Conference	SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing
Period	1/01/99 → …

Research Field

Not defined

Keywords

lasercutting
laserwelding
quality control

Cite this

@inproceedings{2c349ba56403404c8c5a176cffb22320,

title = "Managing quality control of laser machining",

abstract = "{"}Plasmo{"}, a novel designed fast signal processor based device has been developed. We use this modular system for the immediate evaluation of the quality of laser material processing. With this tool the machining process can be analyzed in real-time. An adaptable algorithm ensures that this system automatically adapts to parameter fluctuations during welding or cutting. A summary of our experience in the use in car industry is presented in this paper. We also present new ideas and first results to expand this system to detect the full spectrum of emitted light during process instead of two wavelengths used up to now.",

keywords = "lasercutting, laserwelding, quality control, lasercutting, laserwelding, quality control",

author = "Markus Bohrer and Georg Hutflesz and Manfred Bammer and Stephan Fazeny",

year = "1999",

language = "English",

isbn = "0-8194-3425-6",

pages = "5",

booktitle = "SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing Sensors and Controls for Intelligent Machining II",

note = "SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing ; Conference date: 01-01-1999",

}

Managing quality control of laser machining. / Bohrer, Markus; Hutflesz, Georg; Bammer, Manfred et al.
SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing Sensors and Controls for Intelligent Machining II. 1999. p. 5.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Managing quality control of laser machining

AU - Bohrer, Markus

AU - Hutflesz, Georg

AU - Bammer, Manfred

AU - Fazeny, Stephan

PY - 1999

Y1 - 1999

N2 - "Plasmo", a novel designed fast signal processor based device has been developed. We use this modular system for the immediate evaluation of the quality of laser material processing. With this tool the machining process can be analyzed in real-time. An adaptable algorithm ensures that this system automatically adapts to parameter fluctuations during welding or cutting. A summary of our experience in the use in car industry is presented in this paper. We also present new ideas and first results to expand this system to detect the full spectrum of emitted light during process instead of two wavelengths used up to now.

AB - "Plasmo", a novel designed fast signal processor based device has been developed. We use this modular system for the immediate evaluation of the quality of laser material processing. With this tool the machining process can be analyzed in real-time. An adaptable algorithm ensures that this system automatically adapts to parameter fluctuations during welding or cutting. A summary of our experience in the use in car industry is presented in this paper. We also present new ideas and first results to expand this system to detect the full spectrum of emitted light during process instead of two wavelengths used up to now.

KW - lasercutting

KW - laserwelding

KW - quality control

KW - lasercutting

KW - laserwelding

KW - quality control

M3 - Conference Proceedings with Oral Presentation

SN - 0-8194-3425-6

SP - 5

BT - SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing Sensors and Controls for Intelligent Machining II

T2 - SPIE Conference der Photonics East, Intelligent Systems and Advanced Manufacturing

Y2 - 1 January 1999

ER -

Managing quality control of laser machining

Abstract

Conference

Research Field

Keywords

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Cite this