Evaluation and validation of an inline Coriolis flowmeter to measure dynamic viscosity during laboratory and pilot-scale food processing

Bista, Archana; Hogan, Sean A.; O'Donnell, Colm P.; Tobin, John T.; O’Shea, Norah

doi:10.1016/j.ifset.2019.05.004

Cited by 12 publications

(8 citation statements)

References 36 publications

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“…A laboratory-scale skid previously described by Bista et al [ 17 ] was used to evaluate the inline acoustic flowmeter (FLOWave, Bürkert, Germany) to monitor the viscosity of reconstituted MPC85, protein and TS content of reconstituted MPC85 and sMPC ( Figure 2 b). A centrifugal pump (GEA, Düsseldorf, Germany) was used to circulate reconstituted MPC85 and sMPC in a continuous loop.…”

Section: Methodsmentioning

confidence: 99%

“…A similar increase in viscosity of reconstituted MPC80 (19%, 21% and 23% TS) was observed by Rupp, i.e., Reference [28] and by O'Donnell and Butler [29] for MPC (20-26% TS) samples. Bista et al [17] observed an exponential increase in viscosity as a function of TS content of reconstituted SMC (10-40% TS). Li et al [30] also reported an increase in viscosity that corresponds to an increase in protein content (8-12.8%) in protein and polysaccharide emulsions of varying ratios (1:1-4:1).…”

Section: Effect Of Total Solids Content On Apparent Viscosity Of Mpc85mentioning

confidence: 98%

“…O'Sullivan et al [16] calculated inline viscosity during the reconstitution of milk powders (skim milk powder and milk protein isolate) using the Hagen-Poiseuille equation to achieve optimal powder reconstitution. Recently, Bista et al [17] reported a strong correlation (r = 0.99) between viscosity measurements (measured using an inline viscometer and measured offline using a rotational rheometer) of SMC dispersion up to 40% TS. They demonstrated the potential of an inline Coriolis flowmeter for rapid and accurate monitoring of viscosity during the processing of dairy streams.…”

Section: Introductionmentioning

confidence: 96%

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Monitoring Viscosity and Total Solids Content of Milk Protein Concentrate Using an Inline Acoustic Flowmeter at Laboratory Scale

Bista

Tobin

O’Donnell

et al. 2020

Foods

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Control of milk concentrate viscosity and total solids (TS) content prior to spray drying can improve dairy ingredient manufacture. However, the availability of hygienic and appropriately pressure rated process viscometers for inline monitoring of viscosity is limited. An acoustic flowmeter (FLOWave) is an inline process analytical technology (PAT) tool that measures changes in acoustic signals in response to changes in liquid properties (i.e., acoustic transmission (AT), acoustic impedance (AI), temperature and volume flowrate). In this study, an acoustic flowmeter is evaluated as an inline PAT tool for monitoring viscosity of milk protein concentrate (MPC85), protein and TS content of (MPC85), and standardised MPC (sMPC). Laboratory scale experiments were carried out at 45 °C for five different concentrations (4–21%) of MPC85 and sMPC. Results showed that AT decreased with an increase in MPC85 viscosity (e.g., AT was 98.79 ± 0.04% and 86.65 ± 0.17% for 4% and 21% TS content, respectively). Non-linear regression was carried out to develop a relationship between AT and offline viscosity (R2 (coefficient of determination) value = 0.97 and standard error of prediction = 1.86 mPa·s). AI was observed to increase at higher protein and TS content which was dependent on protein to total solid ratio (P_TSR). Multiple linear regression was carried out to develop the relationship between AI, protein content, TS content and P_TSR. Results demonstrated that AI could be used to monitor the protein and TS content of milk protein concentrate (R2 > 0.96). Overall this study demonstrated the potential of an inline acoustic flowmeter for monitoring process viscosity, protein and TS during dairy concentrate processing.

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Section: Methodsmentioning

confidence: 99%

Section: Effect Of Total Solids Content On Apparent Viscosity Of Mpc85mentioning

confidence: 98%

Section: Introductionmentioning

confidence: 96%

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Monitoring Viscosity and Total Solids Content of Milk Protein Concentrate Using an Inline Acoustic Flowmeter at Laboratory Scale

Bista

Tobin

O’Donnell

et al. 2020

Foods

Self Cite

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“…The change in viscosity can alter the process like fluid transportation from one end of the pipe to other, working of engine of any vehicle, any industrial machine which needs lubrication. Moreover, it can be used as the quality indicating parameter in food industries and petro-chemical industries (Postnov, Moller and Sosnovtseva, 2018) (Bista et al, 2019) (Muñoz, Ancheyta and Castañeda, 2016). There are various conventional or basic methods for studying the viscosity like optical methods, capillary methods, and vibrational methods (Oh et al, 2018) (Kurniati and others, 2018) (Webster and Eren, 2018).…”

Section: 5sensors For Viscosity Measurementmentioning

confidence: 99%

Sensors and tribological systems: applications for industry 4.0

Rouf

Raina

Haq

et al. 2021

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Purpose The involvement of wear, friction and lubrication in engineering systems and industrial applications makes it imperative to study the various aspects of tribology in relation with advanced technologies and concepts. The concept of Industry 4.0 and its implementation further faces a lot of barriers, particularly in developing economies. Real-time and reliable data is an important enabler for the implementation of the concept of Industry 4.0. For availability of reliable and real-time data about various tribological systems is crucial in applying the various concepts of Industry 4.0. This paper aims to attempt to highlight the role of sensors related to friction, wear and lubrication in implementing Industry 4.0 in various tribology-related industries and equipment. Design/methodology/approach A through literature review has been done to study the interrelationships between the availability of tribology-related data and implementation of Industry 4.0 are also discussed. Relevant and recent research papers from prominent databases have been included. A detailed overview about the various types of sensors used in generating tribological data is also presented. Some studies related to the application of machine learning and artificial intelligence (AI) are also included in the paper. A discussion on fault diagnosis and cyber physical systems in connection with tribology has also been included. Findings Industry 4.0 and tribology are interconnected through various means and the various pillars of Industry 4.0 such as big data, AI can effectively be implemented in various tribological systems. Data is an important parameter in the effective application of concepts of Industry 4.0 in the tribological environment. Sensors have a vital role to play in the implementation of Industry 4.0 in tribological systems. Determining the machine health, carrying out maintenance in off-shore and remote mechanical systems is possible by applying online-real-time data acquisition. Originality/value The paper tries to relate the pillars of Industry 4.0 with various aspects of tribology. The paper is a first of its kind wherein the interdisciplinary field of tribology has been linked with Industry 4.0. The paper also highlights the role of sensors in generating tribological data related to the critical parameters, such as wear rate, coefficient of friction, surface roughness which is critical in implementing the various pillars of Industry 4.0.

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“…It is crucial to plan the pumping systems and select the required initial pressure to transfer fluids from one location to another 1,2 . Moreover, viscosity analysis is employed to ensure product consistency as a quality indicator within the industrial production process, such as in petrochemical, 3‐5 polymers, 6‐8 and food industries 9‐11 . Capillary methods, 12,13 falling‐object methods, 14,15 vibrational, 16‐18 optical 19‐21 and torque detection are various known and reliable techniques for measuring the viscosity using an off‐line workstation setup 22‐24 .…”

Section: Introductionmentioning

confidence: 99%

Mechanically flexible viscosity sensor for real‐time monitoring of tubular architectures for industrial applications

Nour

Khan

Qaiser

et al. 2020

Engineering Reports

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Real‐time monitoring of fluid viscosities in tubular systems is essential for industries transporting fluid media. The available real‐time viscometers for tubular systems have major drawbacks, such as using invasive methods with large pressure drops due to flow disturbances, destructive installation processes with permanent tube damage, and limited operability with laminar flows. Therefore, developing a viscometer to address the above‐mentioned concerns is required for industrial applications. In this study, a new application of a velocity‐dependent viscometer using a novel design for real‐time measurements with insignificant flow disruption is proposed. It involves a Poly (methyl‐methacrylate) microchannel bridge with a microfluidic flowmeter attached to a mechanically flexible Polydimethylsiloxane platform connected to the inner surface of the pipe, which can adapt to different pipe diameters and curvatures. Moreover, the proposed viscometer uses the pipe flow driving force to flow fluids into the microchannel for measurement without requiring a pumping system or any sample withdrawals. The results of the simulation analysis match the experimental results of the sensor performance. The sensor can measure different viscosities in the range of 4‐334 mPa s with a resolution higher than 2.7 mPa s. Finally, a stand‐alone system is integrated with the sensor for wireless data transmission.

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Evaluation and validation of an inline Coriolis flowmeter to measure dynamic viscosity during laboratory and pilot-scale food processing

Cited by 12 publications

References 36 publications

Monitoring Viscosity and Total Solids Content of Milk Protein Concentrate Using an Inline Acoustic Flowmeter at Laboratory Scale

Monitoring Viscosity and Total Solids Content of Milk Protein Concentrate Using an Inline Acoustic Flowmeter at Laboratory Scale

Sensors and tribological systems: applications for industry 4.0

Mechanically flexible viscosity sensor for real‐time monitoring of tubular architectures for industrial applications

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