Kontinuierliche Detektion von Milchfouling mittels einer Kombination von Ultraschall und Klassifzierungsmethoden

Eva Wallhäußer; Matthias Sprunk; Ahmed Sayed; Stefan Nöbel; Mohamed A. Hussein; Jörg Hinrichs; Thomas Becker

doi:10.1002/cite.201200165

Kontinuierliche Detektion von Milchfouling mittels einer Kombination von Ultraschall und Klassifzierungsmethoden

Translated title of the contribution: Usage of ultrasound and classification methods for continuous detection of dairy fouling

Eva Wallhäußer
, Matthias Sprunk
, Ahmed Sayed
, Stefan Nöbel
, Mohamed A. Hussein
, Jörg Hinrichs
, Thomas Becker

Chair of Brewing and Beverage Technology

Technical University of Munich
Hohenheim University

Research output: Contribution to journal › Article › peer-review

Abstract

Fouling and cleaning in heat exchangers are severe and costly issues in dairy and food processing. In this study, a planar setup for dairy protein fouling production and its detection using ultrasound is displayed. A method to produce dairy protein fouling reproducible and a cleaning procedure for defined cleaning were developed. Ultrasonic measurements of fouling presence and absence were made combining acoustic and signal parameters and classification methods. Thus, fouling can be determined online and cleaning success of a fouled heat exchanger can be monitored.

Translated title of the contribution	Usage of ultrasound and classification methods for continuous detection of dairy fouling
Original language	German
Pages (from-to)	1589-1596
Number of pages	8
Journal	Chemie-Ingenieur-Technik
Volume	85
Issue number	10
DOIs	https://doi.org/10.1002/cite.201200165
State	Published - Oct 2013

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title = "Kontinuierliche Detektion von Milchfouling mittels einer Kombination von Ultraschall und Klassifzierungsmethoden",

abstract = "Fouling and cleaning in heat exchangers are severe and costly issues in dairy and food processing. In this study, a planar setup for dairy protein fouling production and its detection using ultrasound is displayed. A method to produce dairy protein fouling reproducible and a cleaning procedure for defined cleaning were developed. Ultrasonic measurements of fouling presence and absence were made combining acoustic and signal parameters and classification methods. Thus, fouling can be determined online and cleaning success of a fouled heat exchanger can be monitored.",

keywords = "Acoustic parameters, Artificial neural networks, Classification method, Dairy fouling, Support vector machine, Ultrasound",

author = "Eva Wallh{\"a}u{\ss}er and Matthias Sprunk and Ahmed Sayed and Stefan N{\"o}bel and Hussein, \{Mohamed A.\} and J{\"o}rg Hinrichs and Thomas Becker",

year = "2013",

month = oct,

doi = "10.1002/cite.201200165",

language = "Deutsch",

volume = "85",

pages = "1589--1596",

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T1 - Kontinuierliche Detektion von Milchfouling mittels einer Kombination von Ultraschall und Klassifzierungsmethoden

AU - Wallhäußer, Eva

AU - Sprunk, Matthias

AU - Sayed, Ahmed

AU - Nöbel, Stefan

AU - Hussein, Mohamed A.

AU - Hinrichs, Jörg

AU - Becker, Thomas

PY - 2013/10

Y1 - 2013/10

N2 - Fouling and cleaning in heat exchangers are severe and costly issues in dairy and food processing. In this study, a planar setup for dairy protein fouling production and its detection using ultrasound is displayed. A method to produce dairy protein fouling reproducible and a cleaning procedure for defined cleaning were developed. Ultrasonic measurements of fouling presence and absence were made combining acoustic and signal parameters and classification methods. Thus, fouling can be determined online and cleaning success of a fouled heat exchanger can be monitored.

AB - Fouling and cleaning in heat exchangers are severe and costly issues in dairy and food processing. In this study, a planar setup for dairy protein fouling production and its detection using ultrasound is displayed. A method to produce dairy protein fouling reproducible and a cleaning procedure for defined cleaning were developed. Ultrasonic measurements of fouling presence and absence were made combining acoustic and signal parameters and classification methods. Thus, fouling can be determined online and cleaning success of a fouled heat exchanger can be monitored.

KW - Acoustic parameters

KW - Artificial neural networks

KW - Classification method

KW - Dairy fouling

KW - Support vector machine

KW - Ultrasound

UR - https://www.scopus.com/pages/publications/84885191152

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DO - 10.1002/cite.201200165

M3 - Artikel

AN - SCOPUS:84885191152

SN - 0009-286X

VL - 85

SP - 1589

EP - 1596

JO - Chemie-Ingenieur-Technik

JF - Chemie-Ingenieur-Technik

IS - 10

ER -

Kontinuierliche Detektion von Milchfouling mittels einer Kombination von Ultraschall und Klassifzierungsmethoden

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