Heat Transfer Coefficient and Tube Diameter Optimization of Air Preheater Using Neural Network Tool
| Author(s) | : | Pankaj Kumar Verma, Aanand Shukla |
| Institution | : | M. Tech. Scholar, Mechanical Department, Vindhya Institute of Technology & Science, Jabalpur, M.P |
| Published In | : | Vol. 3, Issue 9 — September 2016 |
| Page No. | : | 186-191 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
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 usingNeural Network tools. The Neural Network Tool, a non-traditional global optimization technique has been used as thesolution methodology for its inherent advantages. Optimal results so obtained are compared with remodeled diameter oftube with heat transfer rate maximizing effect considered as a key factor. The aim of the project is to investigate tocalculate the minimum diameter of tubes in tubular shell tube heat exchanger using Artificial Neural Network (ANN)tool.
Pankaj Kumar Verma, Aanand Shukla, “Heat Transfer Coefficient and Tube Diameter Optimization of Air Preheater Using Neural Network Tool”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 9, pp. 186-191, September 2016.
