Details
| Original language | English |
|---|---|
| Title of host publication | 10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010 |
| Pages | 79-82 |
| Number of pages | 4 |
| Publication status | Published - 2010 |
| Event | 10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010 - Osaka, Japan Duration: 5 Sept 2010 → 9 Sept 2010 |
Abstract
The common quality assurance in the manufacturing process of gears is based on production-related tactile measurements using coordinate measurement machines (CMM). Due to this, the quality assurance is limited to random testing during the manufacturing process and usually a complete final inspection of the manufactured gears. Common data processing algorithms for gear metrology are the L2-norm (Gaussian-norm) or L1-norm combined with a minimization algorithm like the downhill simplex method. This paper shows new methods in gear measurement and data processing, which allows a fast in-line (lathe integrated) inspection of gears. The measurement system consists of an optical distance sensor, the synchronization electronics and the digital data processing. The developed angle-equidistant measurement enables the use of spectral analytic methods to characterize gears for the first time. By using different digital methods like Goertzel's algorithm, discrete Fourier transform (DFT) or fast Fourier transform (FFT) in data processing, clamping errors, eccentricity, distortion, geometry variations (deformation or material allowance variations) and other possible errors can be detected. By integration of the measurement system into a lathe, the errors can be detected even before the cutting process starts in order to avoid low quality or scrap. For different types of gears, the results are shown with a focus on accuracy, standard deviations, computational effort and performance.
Keywords
- Digital signal processing, Gear metrology, Optical sensor, Quality assurance
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
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10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010. 2010. p. 79-82.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Fast algorithms for in-line gearwheel measurements
AU - Pahlke, A.
AU - Kästner, M.
AU - Reithmeier, E.
PY - 2010
Y1 - 2010
N2 - The common quality assurance in the manufacturing process of gears is based on production-related tactile measurements using coordinate measurement machines (CMM). Due to this, the quality assurance is limited to random testing during the manufacturing process and usually a complete final inspection of the manufactured gears. Common data processing algorithms for gear metrology are the L2-norm (Gaussian-norm) or L1-norm combined with a minimization algorithm like the downhill simplex method. This paper shows new methods in gear measurement and data processing, which allows a fast in-line (lathe integrated) inspection of gears. The measurement system consists of an optical distance sensor, the synchronization electronics and the digital data processing. The developed angle-equidistant measurement enables the use of spectral analytic methods to characterize gears for the first time. By using different digital methods like Goertzel's algorithm, discrete Fourier transform (DFT) or fast Fourier transform (FFT) in data processing, clamping errors, eccentricity, distortion, geometry variations (deformation or material allowance variations) and other possible errors can be detected. By integration of the measurement system into a lathe, the errors can be detected even before the cutting process starts in order to avoid low quality or scrap. For different types of gears, the results are shown with a focus on accuracy, standard deviations, computational effort and performance.
AB - The common quality assurance in the manufacturing process of gears is based on production-related tactile measurements using coordinate measurement machines (CMM). Due to this, the quality assurance is limited to random testing during the manufacturing process and usually a complete final inspection of the manufactured gears. Common data processing algorithms for gear metrology are the L2-norm (Gaussian-norm) or L1-norm combined with a minimization algorithm like the downhill simplex method. This paper shows new methods in gear measurement and data processing, which allows a fast in-line (lathe integrated) inspection of gears. The measurement system consists of an optical distance sensor, the synchronization electronics and the digital data processing. The developed angle-equidistant measurement enables the use of spectral analytic methods to characterize gears for the first time. By using different digital methods like Goertzel's algorithm, discrete Fourier transform (DFT) or fast Fourier transform (FFT) in data processing, clamping errors, eccentricity, distortion, geometry variations (deformation or material allowance variations) and other possible errors can be detected. By integration of the measurement system into a lathe, the errors can be detected even before the cutting process starts in order to avoid low quality or scrap. For different types of gears, the results are shown with a focus on accuracy, standard deviations, computational effort and performance.
KW - Digital signal processing
KW - Gear metrology
KW - Optical sensor
KW - Quality assurance
UR - http://www.scopus.com/inward/record.url?scp=84871594705&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84871594705
SN - 9781617820199
SP - 79
EP - 82
BT - 10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010
T2 - 10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010
Y2 - 5 September 2010 through 9 September 2010
ER -