Experimental analysis of Cascade CSTRs with step and pulse inputs
Materials Today: Proceedings, ISSN: 2214-7853, Vol: 78, Page: 40-47
2023
- 2Citations
- 15Captures
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Article Description
In industrial reactors and equipment, non-ideality is quite a common phenomenon rather than an exception. These deviations from ideality impact the process's overall efficiency and the effectiveness of the equipment. To recognize the associated non-ideality, one needs to have enough understanding of the formulation of the equations and in-depth knowledge of the residence time distribution (RTD) data of real reactors. In the current work, step input and pulse input were used to create RTD data for Cascade continuous stirred tank reactors (CSTRs). For the aforementioned configuration, experiments were run at various flow rates to validate the developed characteristic equations. To produce RTD data, distilled water was utilized as the flowing fluid, and NaOH was the tracer substance. The ideal behavior of tracer concentration exits age distribution, and cumulative fraction for each setup and each input was plotted and experimental results were compared with perfect behavior. Deviation of concentration exit age distribution and cumulative fractional distribution from ideal behavior is more in pulse input as compared to a step input. For ideal cases, the exit age distribution curve and cumulative fraction curves are independent of the type of input. But a significant difference was observed for the two cases, which may be due to non-measurable fluctuations in volumetric flow rate, non-achievement of instant injection of tracer in case of pulse input, and slight variations in the sampling period. Further, with increasing flow rate, concentration, exit age, and cumulative fractional curves shifted upward, and this behavior matches with the actual case.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2214785322068766; http://dx.doi.org/10.1016/j.matpr.2022.11.037; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85142484871&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2214785322068766; https://dx.doi.org/10.1016/j.matpr.2022.11.037
Elsevier BV
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