Effectiveness of Rinse Water during In‐Place Cleaning of Stainless Steel Pipe Lines

Fan, Mengyuan; Phinney, David M.; Heldman, Dennis R.

doi:10.1111/1750-3841.12914

Cited by 27 publications

(22 citation statements)

References 26 publications

(40 reference statements)

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“…Deposits in the hundreds of nano grams of foulant per square centimeter represent the micro length scale as well as that which can be considered primarily adhesive removal. Fan et al, (2015) studied the removal of a dairy type foulant from the surface of commercial pipelines. Residual deposit levels, after a rinse cycle was complete, were determined by extracting foulant residues from the inner pipe surface in to a solution and subsequently determining the protein content of that solution.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…We can see that as the temperature of the cleaning solution increases that the k value increases while t m decreases. It has been well studied that increased temperatures increases the cleaning rate (Fan et al, 2015;Gillham et al, 1999). The goal of this research was to develop a method using fluorescent microscopy as a surrogate for visual cleanliness, not specifically to study the effect of temperature.…”

Section: Fluorescent Microscopymentioning

confidence: 99%

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Identification of residual nano-scale foulant material on stainless steel using atomic force microscopy after clean in place

Phinney

Goode

Fryer

et al. 2017

Journal of Food Engineering

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During clean-in-place (CIP), solutions are pumped through process equipment to remove soils having adverse effects on production. In order to validate reductions in CIP inputs, foulants need to be detectable and quantifiable on smaller scales than current industrial practices. In this study, fluorescent microscopy was used for quantifying macroscopic cleanliness of a soiled stainless steel coupon after CIP. An asymptotic model was used to describe the removal of soil as a function of the coupon exposure time and cleaning solution temperature. From these models, cleaning parameters were determined and used to generate coupons predicted to be 99.0 and 99.9% clean. This cleanliness was verified using atomic force microscopy (AFM). AFM identified foulant on the order of 5 μm 2 on a 1.0 x 10 4 μm 2 area. AFM showed cleanliness ranging from 99.41 to 99.94 %. Differences between predicted and actual cleanliness suggest a change in cleaning mechanism at different scales.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Fluorescent Microscopymentioning

confidence: 99%

Identification of residual nano-scale foulant material on stainless steel using atomic force microscopy after clean in place

Phinney

Goode

Fryer

et al. 2017

Journal of Food Engineering

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“…Displacement flows, or removal of one fluid by another, are common in a wide range of industries, including food processing [1], water treatment [2], and oil and gas [3]. The last has significantly motivated the present study.…”

Section: Introductionmentioning

confidence: 99%

Density-stable displacement flow of immiscible fluids in inclined pipes

et al. 2019

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We study experimentally the isoviscous displacement flow of two immiscible Newtonian fluids in an inclined pipe. The less dense displacing fluid is placed above the denser displaced fluid in a density-stable configuration. The displacing and displaced solutions are oil-and water-based, respectively. The former exhibits nonwetting behavior in the vicinity of the pipe wall, whereas the latter is wetting. The pipe has a small diameter-to-length ratio. The mixing and interpenetration of two fluids have been studied over a wide range of controlling parameters, revealing remarkable results. Compared to the previously studied miscible limit, we observe behavior at the interface between the two fluids where the displaced fluid stays "pinned" to the lower wall of the pipe upon pumping the displacing one. This phenomenon, which is observed over the full range of investigated flow rates, tilt angles, and density contrasts, is associated with the wetting characteristic of the displacing liquid and is also present when light and heavy viscosity mineral oils are used as the displacing fluid. Ultrasonic Doppler velocimetry revealed a segmented velocity profile at the interface of the immiscible fluids. Due to pinning, the efficiency of the removal of displaced fluid in the immiscible limit can be lowered by 14% compared to the miscible case due to the combined effects of the density-stable configuration and the immiscibility of the flow. Within the family of immiscible fluids, the maximum efficiency is achieved at close-to-vertical tilt angles, large density contrasts, and counterintuitively low imposed flow rates, which is of great importance in industrial design.

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“…Cleaning efficiency will then be calculated according the following formula: cleaning efficiency (%) = mass soil released from plate/mass deposited on plate. For cleaning of food residues so called Clean-In-Place (CIP) systems such as columns have been developed [9,10]. Also, pioneering studies using sensing technologies such as SPR to probe detergency do exist but remain in their infancy especially in regards to lack of standardized soils and industry relevant surfaces mimicking cleaning substrates (gold needs to be used with SPR) [6,11].…”

Section: Introductionmentioning

confidence: 99%

Revealing Detergent Efficiency and Mechanism by Real-Time Measurement Using a Novel and Tailored QCM-D methodology

Olesen¹,

Leeuwen²,

Andersson³

2016

Tenside Surfactants Detergents

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Currently there is a lack of knowledge on how to scientifically and rapidly screen new detergent formulations. To address this, we employed the Quartz Crystal Microbalance with Dissipation technique which allows real-time acquisition of the cleaning process. Using an automated multichannel setup enabled rapid, simultaneous screening of eight formulations in regard to cleaning rate, soil swelling and soil removal. Herein, 9 commercially available dishwashing formulations are screened and ranked based on their ability to remove/swell standardized cooking grease soiled onto a silica surface. Moreover, we observed that soil swelling can be monitored via the dissipation factor. In summary, we present a real-time in-situ method for detergent formulation screening during the R&D phase of new detergents.Key words: Hard surface cleaning, automatic dishwashing (ADW), detergent, detergency, QCM-D Aufklärung der Waschmittelleistung und des Mechanismus mittels Echtzeit-Messungen mit einer neuen und maßge-schneiderten QCM-D-Methode. Derzeit besteht keine Erkenntnis darüber, wie man neue Waschmittelformulierungen wissenschaftlich und schnell auswählen kann. Um dieses Problem zu lösen, setzten wir die Quarzkristallmikrowaage mit Dissipationstechnik ein, die eine Echtzeiterfassung des Reinigungsvorgangs erlaubt. Der Gebrauch eines automatisierten Mehrkanalaufbaus ermöglicht ein schnelles simultanes Screening von acht Formulierungen hinsichtlich der Reinigungsgeschwindigkeit, der Schmutzquellung und der Schmutzentfernung. Es wurden auch neun kommerziell erhältliche Geschirrreiniger untersucht und nach ihrer Fähigkeit, Standardküchenfett von Quarzoberflächen zu entfernen bzw. auf ihnen anzuquellen, geordnet. Außerdem beobachteten wir, dass die Schmutzquellung mit dem Verlustfaktor überwacht werden kann. Zusammenfassend stellen wir eine Echtzeit-in-situ-Methode für das Screening von Reinigungsmittelformulierungen wäh-rend der Forschungs-und Entwicklungsphase von neuen Reinigungsmitteln vor.

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Effectiveness of Rinse Water during In‐Place Cleaning of Stainless Steel Pipe Lines

Cited by 27 publications

References 26 publications

Identification of residual nano-scale foulant material on stainless steel using atomic force microscopy after clean in place

Identification of residual nano-scale foulant material on stainless steel using atomic force microscopy after clean in place

Density-stable displacement flow of immiscible fluids in inclined pipes

Revealing Detergent Efficiency and Mechanism by Real-Time Measurement Using a Novel and Tailored QCM-D methodology

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