Power consumption and heat transfer resistance in large rotary shaking vessels

Kato, Yoshihito; Peter, Cyril P.; Akgün, Ali; Büchs, Jochen

doi:10.1016/j.bej.2004.04.011

Cited by 27 publications

(12 citation statements)

References 15 publications

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“…Only the CFD value at 240 rpm for

P / V_{t o t a l}

was ∼30% higher than the calculated value. In agreement with the calculated value in the present work, Kato et al reported a measuring value for

P / V_{t o t a l}

of about 3.4

k W / m^{3}

in a 20 L vessel at a shaking frequency of 240 rpm . Further measurements are required to clarify the deviation between the CFD simulation and the model derived value at a shaking frequency of 240 rpm.…”

Section: Resultssupporting

confidence: 90%

Time efficient way to calculate oxygen transfer areas and power input in cylindrical disposable shaken bioreactors

Klöckner

Lattermann

Pursche

et al. 2014

Biotechnology Progress

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Disposable orbitally shaken bioreactors are a promising alternative to stirred or wave agitated systems for mammalian and plant cell cultivation, because they provide a homogeneous and well-defined liquid distribution together with a simple and cost-efficient design. Cultivation conditions in the surface-aerated bioreactors are mainly affected by the size of the volumetric oxygen transfer area (a) and the volumetric power input (P∕VL ) that both result from the liquid distribution during shaking. Since Computational Fluid Dynamics (CFD)-commonly applied to simulate the liquid distribution in such bioreactors-needs high computing power, this technique is poorly suited to investigate the influence of many different operating conditions in various scales. Thus, the aim of this paper is to introduce a new mathematical model for calculating the values of a and P∕VL for liquids with water-like viscosities. The model equations were derived from the balance of centrifugal and gravitational forces exerted during shaking. A good agreement was found among calculated values for a and P∕VL , CFD simulation values and empirical results. The newly proposed model enables a time efficient way to calculate the oxygen transfer areas and power input for various shaking frequencies, filling volumes and shaking and reactor diameters. All these parameters can be calculated fast and with little computing power.

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“…Only the CFD value at 240 rpm for

P / V_{t o t a l}

was ∼30% higher than the calculated value. In agreement with the calculated value in the present work, Kato et al reported a measuring value for

P / V_{t o t a l}

of about 3.4

k W / m^{3}

Section: Resultssupporting

confidence: 90%

Time efficient way to calculate oxygen transfer areas and power input in cylindrical disposable shaken bioreactors

Klöckner

Lattermann

Pursche

et al. 2014

Biotechnology Progress

Self Cite

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“…While there is no big difference in the exponent of V L , the difference of the exponent of n=0.55 as reported by Kato et al (2004) and 0.19 as reported by Sumino and Akiyama (1987a) may be explained by the different air flow around the vessel. The vessel size (0.27 m) of Kato et al (2004) is much larger than Sumino and Akiyama (1987a) (0.08 m); therefore, the air flow Reynolds numbers can be calculated roughly to be 3000 and 900, respectively. This means that the air flow was turbulent in the case of Kato et al (2004) whereas it was laminar flow for Sumino and Akiyama (1987a).…”

Section: Heat Transfermentioning

confidence: 62%

“…The vessel size (0.27 m) of Kato et al (2004) is much larger than Sumino and Akiyama (1987a) (0.08 m); therefore, the air flow Reynolds numbers can be calculated roughly to be 3000 and 900, respectively. This means that the air flow was turbulent in the case of Kato et al (2004) whereas it was laminar flow for Sumino and Akiyama (1987a). Generally, the influence of velocity on heat transfer in the turbulent flow is larger than at laminar flow, which may explain the different exponents.…”

Section: Heat Transfermentioning

confidence: 86%

“…Sumino and Akiyama (1987a) measured the heat transfer in small Erlenmeyer shaking flask and also drew the same conclusion. They correlated the overall heat transfer as a function of the shaking frequency and the filling volume by the following equation: Kato et al (2004) found the investigated heat transfer across the wall of a large rotary shaking vessel (20 L). The following consideration was made regarding the values for an experimental example (V L = 5 L, n = 200 rpm) with P V ≈ 2 kW/m 3 .…”

Section: Heat Transfermentioning

confidence: 99%

See 1 more Smart Citation

Critical analysis of engineering aspects of shaken flask bioreactors

Suresh

Srivastava

Mishra

2009

Critical Reviews in Biotechnology

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Shaking bioreactors are the most frequently used reaction vessels in biotechnology. Since their inception, shaking bioreactors have been playing a significant role in medicine, agriculture, food, environmental, and industrial research. In spite of their huge practical importance, very little is known about the characteristic properties of shaken cultures from an engineering point of view. In this paper, a critical analysis is presented of the mixing characteristics, aeration, mass and heat transfer, power consumption, and suitability for on-line monitoring and control of various environmental and other operating parameters in aerated and anaerobic/anoxic conditions. Aspects of cell damage due to shear stress generated in shaken flask and loss of sterility due to contamination are also discussed.

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“…Kato et al 107 used a calorimetric method, based on the method developed by Sumino et al, 108 for assessing power consumption in larger shaken flasks (nominal volume up to 20 L). Despite the increase in volume, the order of magnitude of P/V is the same as for smaller scale shaking flasks, up to a nominal volume of 2 L and having different geometries.…”

Section: Shaken Flasksmentioning

confidence: 99%

Bioprocess scale‐up: quest for the parameters to be used as criterion to move from microreactors to lab‐scale

Marques

Cabral

Fernandes

2010

J of Chemical Tech & Biotech

101

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Advances in high-throughput process development and optimization involve the rational use of miniaturized stirred bioreactors, instrumented shaken flasks and microtiter plates. As expected, each one provides different levels of control and monitoring, requiring a compromise between data quantity and quality. Despite recent advances, traditional shaken flasks with nominal volumes below 250 mL and microtiter plates are still widely used to assemble wide arrays of biotransformation/bioconversion data, because of their simplicity and low cost. These tools are key assets for faster process development and optimization, provided data are representative. Nonetheless, the design, development and implementation of bioprocesses can present variations depending on intrinsic characteristics of the overall process. For each particular process, an adequate and comprehensive approach has to be established, which includes pinpointing key issues required to ensure proper scaleup. Recently, focus has been given to engineering characterization of systems in terms of mass transfer and hydrodynamics (through gaining insight into parameters such as k L a and P/V at shaken and microreactor scale), due to the widespread use of small-scale reactors in the early developmental stages of bioconversion/biotransfomation processes. Within this review, engineering parameters used as criteria for scaling-up fermentation/bioconversion processes are discussed. Particular focus is on the feasibility of the application of such parameters to small-scale devices and concomitant use for scale-up.

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Power consumption and heat transfer resistance in large rotary shaking vessels

Cited by 27 publications

References 15 publications

Time efficient way to calculate oxygen transfer areas and power input in cylindrical disposable shaken bioreactors

Time efficient way to calculate oxygen transfer areas and power input in cylindrical disposable shaken bioreactors

Critical analysis of engineering aspects of shaken flask bioreactors

Bioprocess scale‐up: quest for the parameters to be used as criterion to move from microreactors to lab‐scale

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