The numerical computation of turbulent flows
Computer Methods in Applied Mechanics and Engineering - Special edition on the 20th Anniversary
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Proceedings of the 2001 international symposium on Symbolic and algebraic computation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Visions for application development on hybrid computing systems
Parallel Computing
Use of hybrid intelligent computing in mineral resources evaluation
Applied Soft Computing
Soft Computing
Expert Systems with Applications: An International Journal
Hybrid algorithm for discrete event simulation based supply chain optimization
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
A hybrid computing scheme has been developed in the paper, which uses CFD softwares: Gambit for mesh generation, Fluent for carrying out hydrodynamic analysis, and employs a Genetic Algorithm (GA) for optimisation. It has been utilised to solve optimisation problems related to thermo-fluid field in a fully automated way by using specific system commands. In the developed hybrid computing scheme, the GA and CFD softwares combine each other seamlessly and data transfer takes places without any manual intervention. In this study, the main challenge lies in embedding highly structured commercial softwares, like Fluent and Gambit, inside an indigenously developed hybrid computing scheme. Using the said hybrid computing scheme, two different methodologies have been adopted to optimise the shapes of 2D symmetric nozzle. Corresponding to the optimised shapes of the nozzle, streamline patterns have been developed and variations in pressure loss (PL) factor values have been studied.