Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-28T08:12:47.220Z Has data issue: false hasContentIssue false

Optimization of an External Gear Pump using Response Surface Method

Published online by Cambridge University Press:  30 April 2020

A. Abdellah El-Hadj*
Affiliation:
Laboratory of Mechanics, Physics, and Mathematical modeling (LMP2M), University of Medea, Medea26000, Algeria
Shayfull Zamree Bin Abd Rahim
Affiliation:
School of Manufacturing Engineering, Universiti Malaysia Perlis, Main Campus Pauh Putra, 02600Arau, Perlis, Malaysia. Green Design and Manufacture Research Group, Center of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis, 01000Kangar, Perlis, Malaysia.
*
*Corresponding author ([email protected])
Get access

Abstract

Design of a new gear pump requires many considerations to get good pump efficiency. In order to achieve optimal results, all parameters must be optimized from the design stage. In this study, ANSYS CFX was used to make parametric analysis in order to optimize a new design of gear pump. Two parameters which are inlet diameter and rotation speed are considered. The response surface method gives an optimum design point for inlet diameter of 15mm and rotation speed of 3500 rev/min. Twin vortices are created in the inlet and the outlet of pump, which strangle the flow. In order to reduce their negative effects on the flow, fillets are created at the inlet and the outlet of the pump.

Type
Research Article
Copyright
Copyright © 2020 The Society of Theoretical and Applied Mechanics

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Haman, D.Z., Izuno, F.T. and Smajstrla, A.G., “Positive Displacement Pumps for Agricultural Applications,”Institute of Food and Agricultural Sciences, pp. 110 (2003).Google Scholar
Wagner, J.R., Mount, E.M. and Giles, H.F., “Gear Pumps,” Extrusion, pp. 417424 (2014).CrossRefGoogle Scholar
Dhar, S. and Vacca, A., “A novel CFD - Axial motion coupled model for the axial balance of lateral bushings in external gear machines,” Simulation Modelling Practice and Theory, 26, pp. 6076 (2012).CrossRefGoogle Scholar
Vacca, A. and Guidetti, M., “Modelling and experimental validation of external spur gear machines for fluid power applications,” Simulation Modelling Practice and Theory, 19 (9), pp. 20072031 (2011).CrossRefGoogle Scholar
Rituraj, F., Vacca, A. and Morselli, M.A., “Modeling of manufacturing errors in external gear machines and experimental validation,” Mechanism and Machine Theory, 140, pp. 457478 (2019).CrossRefGoogle Scholar
Bovet, T., “Les pompes hydrauliques,” AEEPL Laussane, pp. 123 (1952).Google Scholar
Zhou, J., Vacca, A. and Casoli, P., “A novel approach for predicting the operation of external gear pumps under cavitating conditions,” Simulation Modelling Practice and Theory. 45, pp. 3549 (2014).CrossRefGoogle Scholar
del Campo Sud, D., “Analysis of the Suction Chamber of External Gear Pumps and their Influence on Cavitation and Volumetric Efficiency,” Ph.D. thesis Universitat Politècnica de Catalunya, Italy (2012).Google Scholar
Manco, S. and Nervegna, N., “Simulation of an External Gear Pump and Experimental Verification,” Proc. JFPS Int. Symp. Fluid Power. 1989 (1), pp. 147160 (1989).CrossRefGoogle Scholar
Vacca, A., “Optimization of relevant design parameters of external gear pump,” Proceedings of the 7th JFPS International Symposium on Fluid Power, TOYAMA, pp. 1518 (2008).CrossRefGoogle Scholar
MIT software help, MITcalc (2019), http://www.mitcalc.com/index.htm.Google Scholar
Ghionea, I., Ionescu, N., Ghionea, A., Ćuković, S., Tonoiu, S. and Catană, M., “Computer aided parametric design of hydraulic gear pumps,” Acta Technica Napocensis, Applied Mathematics, Mechanics and Engineering, Technical University of Cluj-Napoca, 60 (1), pp. 113124, (2017). ISSN: 1221-5872, WOS: 000416959000017Google Scholar
Magnusson, J., “Numerical analysis of the lubricant gap in external gear pumps considering micro level surface features,” Master thesis, Chalmers Univ, Sweden (2011).Google Scholar
Borghi, M., Milani, M., Paltrinieri, F. and Zardin, B., “Studying the axial balance of external gear pumps,” SAE Technical Papers, p. 724 (2005).CrossRefGoogle Scholar
Rundo, M., “Models for flow rate simulation in gear pumps: A review,” Energies. 10 (9), (2017).CrossRefGoogle Scholar
Chacón Rebollo, T. and Lewandowski, R., “Mathematical and Numerical Foundations of Turbulence Models and Applications,” Birkhäuser, Boston. (2014), DOI: 10.1007/978-1-4939-0455-6CrossRefGoogle Scholar
De Tullio, M.D., De Palma, P., Napolitano, M. and Pascazio, G., “Recent advances in the development of an immersed boundary method for industrial applications,” Proceedings of the 6th International Conference on Computational Fluid Dynamics, ICCFD 2010, pp. 601606 (2011).CrossRefGoogle Scholar
Jędraszczyk, P. and Fiebig, W., “CFD Model of an External Gear Pump. Proceedings of the 13th International Scientific Conference: Computer Aided Engineering,” Lecture Notes in Mechanical Engineering, (2017). DOI: 10.1007/978-3-319-50938-9CrossRefGoogle Scholar
Mithun, M.G., Koukouvinis, P., Karathanassis, I.K. and Gavaises, M., “Numerical simulation of three-phase flow in an external gear pump using immersed boundary approach,” Applied Mathematical Modelling, 72, pp. 682699 (2019).CrossRefGoogle Scholar
Khelfi, D. and Abdellah El-hadj, A., “Modeling of a 3D plasma thermal spraying and the effect of the particle injection angle,” Revue des Energies Renouvelables CISM’08 Oum El Bouaghi, pp. 205216 (2008)Google Scholar
Mueller, G., Tiefenthaler, P. and Imgrund, M., “Design optimization with the finite element program ANSYS(R),” International Journal of Computer Applications in Technology, 7 (3-6), pp. 271277 (1994).Google Scholar
Radhwan, H., Shayfull, Z., Farizuan, M.R., Effendi, M.S.M. and Irfan, A.R., “Optimization parameter effects on the quality surface finish of the threedimensional printing (3D-printing) fused deposition modeling (FDM) using RSM,” Applied Physics of Condensed Matter, 2129 (020155) 17 (2019), DOI: 10.1063/1.5118163Google Scholar
Radhwan, H., Shayfull, Z., Abdellah el-hadj, A., Irfan, A.R. and Kamarudin, K., “Optimization parameter effects on the strength of 3D-printing process using Taguchi method,” Applied Physics of Condensed Matter 2129 (020154) (2019), DOI: 10.1063/1.5118162CrossRefGoogle Scholar
Margheri, L. and Sagaut, P., “A hybrid anchored-ANOVA – POD/Kriging method for uncertainty quantification in unsteady high-fidelity CFD simulations,” Journal of Computational Physics, 324, pp. 137173 (2016).CrossRefGoogle Scholar
Mansouri, N., Moghimi, M. and Taherinejad, M., “Investigation on hydrodynamics and mass transfer in a feed channel of a spiral-wound membrane element using response surface methodology,” Chemical Engineering Research and Design, 149, pp. 147157 (2019).CrossRefGoogle Scholar
Reh, S., Beley, J.D., Mukherjee, S. and Khor, E.H., “Probabilistic finite element analysis using ANSYS,” Structural Safety, 28 (1–2), pp. 1743 (2006).10.1016/j.strusafe.2005.03.010CrossRefGoogle Scholar