Design and performance of a low-frequency non-intrusive acoustic technique for monitoring fouling in plate heat exchangers

Merheb, B.; Nassar, Georges; Nongaillard, Bertrand; Delaplace, Guillaume; Leuliet, J. C.

doi:10.1016/j.jfoodeng.2007.03.022

Cited by 30 publications

(7 citation statements)

References 14 publications

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“…Merheb et al . () used multiple optimized nonintrusive sensors to develop a real‐time acoustic technique in order to monitor fouling inside plate heat exchangers for experimenting online trials. A good relationship exists between the textural parameters, the impact force–deformation and acoustic impulse–response (Conde et al .…”

Section: Application Of Acoustics In Agricultural Processingmentioning

confidence: 97%

A Review on Application of Acoustic Analysis in Quality Evaluation of Agro-food Products

Aboonajmi

Jahangiri

Hassan-Beygi

2015

Journal of Food Processing and Preservation

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In recent years, quality assessment of agricultural materials and food products by acoustic analysis has been one of the major research areas in the field of post-and preharvest technology. Acoustic properties of food can be used to indicate numerically important quality attributes such as crunchiness, crispness, firmness, water activity and so on. Physical characteristics and other quality parameters that attribute to the internal quality of agriculture and manufactured foods can be measured by this nondestructive method. The present study introduces briefly the acoustic properties of agro-food products as well as outlines the importance and application of this technology in food and agricultural industries, where still further research is required to fully comprehend this technology. PRACTICAL APPLICATIONSThe review summarizes knowledge about application of acoustic for quality assessment of agro-food products. If the knowledge and the presented techniques are combined and applied in an innovative and carefully planned way, commercial applications of these techniques will be beneficial for the consumer as well as the growers and traders. The risk of buying poor-quality products will significantly decrease, the income of fruit growers corresponding to the quality of their products will increase and merchants will be able to comply with consumer demands for uniform high-quality products.

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Section: Application Of Acoustics In Agricultural Processingmentioning

confidence: 97%

A Review on Application of Acoustic Analysis in Quality Evaluation of Agro-food Products

Aboonajmi

Jahangiri

Hassan-Beygi

2015

Journal of Food Processing and Preservation

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“…For observing fouling in a PHE, an acoustic sensor was developed which monitored low-frequency waves (Merheb, Nassar, Nongaillard, Delaplace, & Leuliet, 2007) with WPC used as fouling fluid. On one plate side, an impactor was applied and on different places on the other side acoustic sensors were attached with pressure drop and plate weighing used for validation.…”

Section: Ultrasound and Vibrational Methodsmentioning

confidence: 99%

Detection methods of fouling in heat exchangers in the food industry

Wallhäußer¹,

Hussein²,

Becker³

2012

Food Control

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“…Fouling deposition is influenced by various parameters like Reynolds number [2], salt content, age of milk [3], protein concentration [4], and pH [5]. To achieve these goals different approaches were made like monitoring heat transfer measurands [10,11], electric parameters [12][13][14], or acoustical quantities for fouling detection [15][16][17]. When fouling occurs heat transfer resistance and production costs are increased wile thermal efficiency is decreased and unsupervised cleaning will take place [9].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is of great importance for dairy industry to determine fouling presence and monitor its progress and cleaning success. To achieve these goals different approaches were made like monitoring heat transfer measurands [10,11], electric parameters [12][13][14], or acoustical quantities for fouling detection [15][16][17]. Another approach is to feed measured values to a computational or numerical method that then states fouling presence [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Detection of dairy fouling: Combining ultrasonic measurements and classification methods

Wallhäußer¹,

Hussein²,

Hussein³

et al. 2013

Engineering in Life Sciences

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Fouling and cleaning in heat exchangers are severe and costly (up to 0.3% of gross national product) issues in dairy and food processing. Therefore, reducing cleaning time and cost is urgently needed. In this study, two classification methods [artificial neural network (ANN) and support vector machine (SVM)] for detecting protein and mineral fouling presence and absence based on ultrasonic measurements were presented and compared. ANN is based on a multilayer perceptron feed forward neural network, whereas SVM is based on clustering between fouling and no fouling using a hyperplane. When both fouling types (1239 datasets) were combined, ANN showed an accuracy of 71.9% while SVM displayed an accuracy of 97.6%. Separate fouling detection of mineral/protein fouling by ANN/SVM was comparable: dependent on fouling type detection accuracies of 100% (protein fouling, ANN and SVM), and 98.2% (SVM), and 93.5% (ANN) for mineral fouling was reached. It was shown that it was possible to detect fouling presence and absence offline in a static setup using ultrasonic measurements in combination with a classification method. This study proved the applicability of combining classification methods and fouling measurements to take a step toward reducing cleaning costs and time.

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Design and performance of a low-frequency non-intrusive acoustic technique for monitoring fouling in plate heat exchangers

Cited by 30 publications

References 14 publications

A Review on Application of Acoustic Analysis in Quality Evaluation of Agro-food Products

A Review on Application of Acoustic Analysis in Quality Evaluation of Agro-food Products

Detection methods of fouling in heat exchangers in the food industry

Detection of dairy fouling: Combining ultrasonic measurements and classification methods

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