Multi-Objective Optimization Design of Screw Conveyor Using Genetic Algorithm

Duan Yi Wang

doi:10.4028/www.scientific.net/AMR.732-733.402

Paper Titles

Research and Discussion on Electro-Magnetic Treatment in Circulating Cooling Water of Power Plant
p.382

Analysis on the Mixing Process in a Heavy-Duty Diesel Engine under Different Conditions of Spray Position
p.387

Experimental Analysis of FWX Series Cyclone-Static Micro-Bubble Flotation Column
p.392

Fault Diagnosis Based on Rough Set and BP Neural Network (RS-BP) for Gas Turbine Engine
p.397

Multi-Objective Optimization Design of Screw Conveyor Using Genetic Algorithm
p.402

Screw Expander for Waste Heat Utilization in Heating Furnace
p.407

Comparison of Finite Difference and Finite Volume Method for Numerical Simulation of the Incompressible Viscous Driven Cavity Flow
p.413

Mechanical Stress Analysis of Different Shapes Pillars with Cnoidal Internal Wave Action
p.417

Multifunction Expansion Design of the Wellbore Multiphase-Flow Experimental System
p.421

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 732-733Multi-Objective Optimization Design of Screw...

Multi-Objective Optimization Design of Screw Conveyor Using Genetic Algorithm

Abstract:

The weight minimum and drive efficiency maxima1 of screw conveyor were considered as double optimizing objects in this paper. The mathematical model of the screw conveyor has been established based on the theory of the machine design, and the genetic algorithm was adopted to solving the multi-objective optimization problem. The results show that the mass of spiral shaft reduces 13.6 percent, and the drive efficiency increases 6.4 percent because of the optimal design based on genetic algorithm. The genetic algorithm application on the screw conveyor optimized design can provided the basis for designing the screw conveyor.

You might also be interested in these eBooks

Thermal, Power and Electrical Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 732-733)

Pages:

402-406

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.732-733.402

Citation:

Cite this paper

Online since:

August 2013

Authors:

Duan Yi Wang*

Keywords:

Genetic Algorithm (GA), Multi-Objective, Optimization, Screw Conveyor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] J.P. Li, C.L. Du, Y.Z. Zhang: Design theory of drill type coal winning machine(China University of Mining and Technology, Xuzhou, 2009).

Google Scholar

[2] X.H. Li, Q.Y. Li, Y. H: Parameter optimization of spiral conveyor for coal auger based on GAAA algorithm. Journal of China Coal Society, 2010, 35(3): 498-502.

Google Scholar

[3] F.H. Shu, Z.H. Gui: Optimal design of screw conveyer in pulping plants based on genetic algorithm. Technology, 2008(24): 36-39.

Google Scholar

[4] W. Liu, C.L. Du, X.K. Song, et al: Fuzzy optimization design of screw drill rod of spiral auger machine. Mining & Processing Equipment, 2006, 34(11): 24-26.

Google Scholar

[5] J.P. Li, Y.Z. Zhang, C. L Du: Optimized design of drilling rod structure parameter for screw miner. Coal Science and Technology, 2006, 34(8): 8-10.

Google Scholar

[6] L.D. Kong, X.P. Ji, Y. Wang, et al: Analysis of deflection on screw conveyor shaft with finite element method. Journal of Jiangsu University of Science and Technology, 1996, 17(5): 1-9.

Google Scholar

[7] C.S. Song: Series design of big span screw conveyor size. Xinan Zaozhi, 2001(5): 16-17.

Google Scholar

[8] F.H. Shu: Auger-type conveyer optimal design based on colony optimization algorithm. Feed Industry, 2006, 27(15): 1-4.

Google Scholar

[9] Y.J. Lei, S.W. Zhang, X.W. Li, et al: Genetic algorithm toolbox and application(Publication of Xian University of Electronic Science and Technology, Xian, 2005).

Google Scholar