@article{MAKHILLJEAS2019142018563,
    title = {Design Sensitivity Analysis and Performance Optimization of Axial Flow Pump},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {20},
    pages = {7736-7742},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7736.7742},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7736.7742},
    author = {Malik N.,Aya and},
    keywords = {Axial pump,efficiency,simulation,sensitivity and optimization,design parameters,blade angle},
    abstract = {In modern life, pumps are attached to a huge amount of applications, therefore, some replacement
parts should modified and produce in form to be suitable for different configurations. Working with these
modification and constraints lead to redesign the geometry to avoid the cavitation phenomena and make the
pumps parts as portable as easy to replace at any time. In complex fluid domain like centrifugal pump, there is
some sensitivity towards many design parameters and also to some particular objective functions. Investigate
and determine the main parameters which have a major effects on the pump performance and efficiency are very
important before any further steps. These parameters include contact pressure, Mises stresses, specific speed,
coefficient of friction, casing thickness value and clearance between rotor vanes and casing. In this research,
the commercial software (Abaqus/CAE) has been adopted as a powerful tool for modelling and simulation this
analysis process. Furthermore, the global sensitivity analysis are used to validate and expand the results. Here,
some design variables are used to be fixed, like phase angle and angle of blades. In this global sensitivity
process, many and different models are built to facilitate the analysis. Meanwhile, in this research, the
interactions between some impacts which effects on performances of impellers are resolved. It’s found that, the
design parameters that has most effecting in reducing stresses can be identifies through sensitivity analysis.
Results revealed that, the contact pressure, Mises stresses and the shape parameter (t) are the most effecting
parameters. Simulation results show that, there’s a positive relationship between specific speed and efficiency.
Furthermore, it’s found that the blade angle influenceon vane performances can be neglected comparing with
other design variables. The finding of optimization analysis shows that, the efficiency of optimized model is
higher than the conventional type. It’s also concluded that the overall performances will enhance by this type
of optimization process. The minimum pressure coefficient and efficiency can improve by (0.35 and 0.4%),
respectively.}
    }