Enhanced surface parametrization using maximum entropy signal processing of ultrasonic pulses

P. F. Smith*, M. A. Player

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The authors have shown previously that the maximum entropy method (MEM) forms a valuable tool for assisting in the estimation of surface amplitude distributions from reflected ultrasonic pulses. The surface inspection technique is extended to allow the determination of many common surface texture parameters from the amplitude distribution function. Using relatively accessible ultrasonic frequencies, surfaces in the practically important region of around 2 mu m to over 140 mu m roughness (Ra) are assessed. The MEM is used as a high-performance deconvolution technique to produce height amplitude distribution graphs with good resolution and low noise. From these graphs surface parameters such as Ra and Rq can be extracted. Three different types of machined surface and one layered surface are tested. In the latter two cases, the MEM is extended to allow negative points in its deconvolution image; the advantages of this move are described. Results from the use of 10 MHz and 40 MHz broadband plane compressional wave transducers are compared with those from a stylus instrument; good agreement is obtained. The difficulties of producing reliable results by both methods are summarized.

Original languageEnglish
Pages (from-to)419-429
Number of pages11
JournalMeasurement Science and Technology
Volume2
Issue number5
DOIs
Publication statusPublished - 1 Dec 1991

Fingerprint

Maximum Entropy
Parametrization
Signal Processing
signal processing
Signal processing
Entropy
ultrasonics
Ultrasonics
entropy
Maximum Entropy Method
Maximum entropy methods
maximum entropy method
pulses
Deconvolution
Surface Texture
Graph in graph theory
Transducer
Roughness
Plane Wave
Broadband

ASJC Scopus subject areas

  • Instrumentation
  • Engineering (miscellaneous)
  • Applied Mathematics

Cite this

Enhanced surface parametrization using maximum entropy signal processing of ultrasonic pulses. / Smith, P. F.; Player, M. A.

In: Measurement Science and Technology, Vol. 2, No. 5, 01.12.1991, p. 419-429.

Research output: Contribution to journalArticle

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