Heat Transfer Coefficient and Tube Diameter Optimization of Air Preheater Using Neural Network Tool

Authors

  • Pankaj Kumar Verma M. Tech. Scholar, Mechanical Department, Vindhya Institute of Technology & Science, Jabalpur, M.P
  • Aanand Shukla HOD, Mechanical Department, Vindhya Institute of Technology & Science, Jabalpur, M.P

Keywords:

Air preheater, ANSYS CFX, ANN Tool

Abstract

In this present investigation is to modified the existing design which are mentioned in good literature Das et.
al [5] and Vivek et. al. [6]. In this investigation also modified the design using ANSYS CFX tool and optimizing using
Neural Network tools. The Neural Network Tool, a non-traditional global optimization technique has been used as the
solution methodology for its inherent advantages. Optimal results so obtained are compared with remodeled diameter of
tube with heat transfer rate maximizing effect considered as a key factor. The aim of the project is to investigate to
calculate the minimum diameter of tubes in tubular shell tube heat exchanger using Artificial Neural Network (ANN)
tool.

Published

2016-09-25

How to Cite

Pankaj Kumar Verma, & Aanand Shukla. (2016). Heat Transfer Coefficient and Tube Diameter Optimization of Air Preheater Using Neural Network Tool. International Journal of Advance Engineering and Research Development (IJAERD), 3(9), 186–191. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/1678