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Emerging Technologies in Data Mining and Information Security pp 331–340Cite as

Modelling and Analysis of Bio-convective Nano-fluid Flow Past a Continuous Moving Vertical Cylinder

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 755))

Abstract

Analysis of two-dimensional boundary layer flow of nano-fluid past a continuous moving cylinder has been carried out under the influence of bio-convection. The fluid flow consists of nano-sized particles and gyrotactic micro-organisms. Micro-organism is induced to stabilize the movement of nano-sized particles. Mathematical modelling of the fluid flow has been done by using conservation principles of mass, momentum, energy, species concentration, and micro-organism concentration respectively. Similarity transformations have been used to convert partial differential equations into ordinary differential equations. Equations are solved numerically using MATLAB built in bv4pc solver technique. Results are discussed graphically and numerically for various flow parameters involved in the equation.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Dibrugarh University, Dibrugarh, 786004, India

    Debasish Dey

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  1. Debasish Dey
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Correspondence to Debasish Dey .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer and Systems Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

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Dey, D. (2019). Modelling and Analysis of Bio-convective Nano-fluid Flow Past a Continuous Moving Vertical Cylinder. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-13-1951-8_30

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