Name
Abstract | ||
|---|---|---|
The key goal of this article is to present an efficient hybrid computational technique, namely homotopy analysis transform method (HATM), to investigate Jeffery–Hamel flow. The HATM is an innovative and efficient amalgamation of homotopy analysis technique, standard Laplace transform scheme and homotopy polynomials. The effect of Reynolds number on velocity profile is studied graphically. The obtained results are compared with existing results and it is noticed that the outcomes are in an excellent agreement. The outcomes of the suggested method reveal that the technique is easy to handle and computationally very fantastic. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s00521-017-3198-y | Neural Computing and Applications |
Keywords | Field | DocType |
Jeffery–Hamel flow, Homotopy analysis transform method, Fluid mechanics, Nonlinear equation | Mathematical optimization,Nonlinear system,Reynolds number,Polynomial,Laplace transform,Fluid mechanics,Flow (psychology),Homotopy,Homotopy analysis method,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 7 | 1433-3058 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagdev Singh | 1 | 18 | 5.49 |
| M.M. Rashidi | 2 | 140 | 22.72 |
| Sushila | 3 | 0 | 0.34 |
| D. Kumar | 4 | 19 | 6.53 |