Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Yun-Fei Fu1, Jie Gong1, Zheng Peng1, Ji-Hua Li1, Si-Dong Li1, Pu-Wang Li This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Zi-Ming Yang This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Agricultural Product Processing Research Institute at Chinese Academy of Tropical Agricultural Sciences, Chinese Agricultural Ministry Key Laboratory of Tropical Crop Products Processing, Zhanjiang 524001, P.R. China


 

Received: July 31, 2015
Accepted: November 22, 2015
Publication Date: June 1, 2016

Download Citation: ||https://doi.org/10.6180/jase.2016.19.2.05  


ABSTRACT


The aim of this study is to minimize the specific energy consumption of the screw wash-sand machine. Let the diameter of the screw structure, pitch, diameter of the screw axis, blade thickness, installation angle, and the speed of the screw axis be the design variables, and take the minimum specific energy consumption as the optimization objective. According to the complexity of the optimization problem in this study, the fruit fly optimization algorithm (FOA) is used to execute the optimization design of the screw wash-sand machine. The non-stationary multi-stage assignment penalty function is adopted to cope with the constrained optimization problem. To judge the stability and reliability of the optimal solution and find the sensitive factors of the optimization design, the sensitivity analyses of the objective function and constraint conditions to the design variables are carried out. By simulation, the optimized structure parameters of the screw wash-sand machine and the data of the objective sensitivity and constraint sensitivity are obtained. The simulation results show that the specific energy consumption decreases by 4.59%; the diameters of the screw structure and screw axis are sensitive factors of the optimization design.


Keywords: : Fruit Fly Optimization Algorithm, Non-stationary Multi-stage Assignment Penalty Function, Wash-sand Machine, Sensitivity Analysis, Specific Energy Consumption


REFERENCES


  1. [1] Tian, M. L. and Tang, Z. B., “Review of Research on Durability of Sea Sand Concrete,” Concrete, Vol. 11, pp. 117118 (2010) (Chinese).
  2. [2] Yin, H. G., Li, Y., Lv, H. L. and Gao, Q., “Durability of Sea-sand Containing Concrete: Effects of Chloride Ion Penetration,” Mining Science and Technology (China), Vol. 21, pp. 123127 (2011). doi: 10.1016/j.mstc.2010. 07.003
  3. [3] Gjørv, O. E., “Durability of Concrete Structures,” Arabian Journal for Science and Engineering, Vol. 36, No. 2, pp. 151172 (2011). doi: 10.1007/s13369-010-0033-5
  4. [4] Shi, X. M., Xie, N., Fortune, K. and Gong, J., “Durability of Steel Reinforced Concrete in Chloride Environments: an Overview,” Construction and Building Materials, Vol. 30, pp. 125138 (2012). doi: 10.1016/ j.conbuildmat.2011.12.038
  5. [5] Chen, J. and Hu, Y., “Development and Countermeasures for Sea Sand Resources in China,” Marine Geology Letters, Vol. 21, No. 7, pp. 48 (2005) (Chinese). doi: 10.3969/j.issn.1009-2722.2005.07.002
  6. [6] Gan, J. W., Zeng, M. J., Bai, W. Q., Dong, H. H., Wu, W. P., Chen, D. S., Wang, B. D., Xiong, Q. J., Yang, M. and Zhao, X. X., China Patent CN 201220107070.3 (2012).
  7. [7] Tang, Q. Y., China Patent CN 201320597916.0 (2013).
  8. [8] Fu, Y. F., Gong, J., Yang, Z. M., Li, P. W., Li, S. D. and Lv, M. Z., “Reliability Analysis of Mechanical Sand Washing System,” 2015 International Conference on Advances in Energy, Environment and Chemical Engineering, Changsha, China, pp. 533536 (2015). doi: 10.2991/aeece-15.2015.107
  9. [9] NDRC (National Development and Reform Commission), Screw Wash-Sand Machine, China Machinery Industry Standard, JB/T 10461-2004, China Machine Press, Beijing, pp. 16 (2004).
  10. [10] Uematu, T. and Nakamura, S., “A Study of the Screw Conveyer,” Bulletin of JSME, Vol. 3, No. 12, pp. 449 455 (1960). doi: 10.1299/jsme1958.3.449
  11. [11] Qian, S. D., Gu, F. Z. and Zhang, D. L., “The Study on Performance of Twin Screw Conveyer,” Drying Technology, Vol. 14, No. 7 & 8, pp. 18591870 (1996). doi: 10.1080/07373939608917178
  12. [12] Yu, Y. and Arnold, P. C., “Theoretical Modelling of Torque Requirements for Single Screw Feeders,” Powder Technology, Vol. 93, No. 2, pp. 151162 (1997). doi: 10.1016/S00325910(97)03265-8
  13. [13] Roberts, A. W., “The Influence of Granular Vortex Motion on the Volumetric Performance of Enclosed Screw Conveyors,” Powder Technology, Vol. 104, No. 1, pp. 5667 (1999). doi: 10.1016/S0032-5910(99)00 039-X
  14. [14] Shimizu, Y. and Cundall, P. A., “Three-dimensional DEM Simulations of Bulk Handling by Screw Conveyors,” Journal of Engineering Mechanics, Vol. 127, No. 9, pp. 864872 (2001). doi: 10.1061/(ASCE)07 33-9399(2001)127:9 (864)
  15. [15] Zhang, Q., Mao, J. and Ding, F., “Optimization Design of Drilling String by Screw Coal Miner Based on Ant Colony Algorithm,” Journal of Coal Science & Engineering (China), Vol. 14, No. 4, pp. 686688 (2008). doi: 10.1007/s12404-008-0443-0
  16. [16] Owen, P. J. and Cleary, P. W., “Prediction of Screw Conveyor Performance Using the Discrete Element Method (DEM),” Powder Technology, Vol. 193, No. 3, pp. 274288 (2009). doi: 10.1016/j.powtec. 2009.03. 012
  17. [17] Ren, L., Xia, D. H. and Ye, Y., “Development of Screw Structure without Shaft for High-Temperature Mechanized Charging and Discharging in Magnesium Reduction Process,” The Chinese Journal of Nonferrous Metals, Vol. 22, No. 10, pp. 28822889 (2012).
  18. [18] Zhang, Q., Fu, Y. F., Han, S. and Yuan Z., “Multi-Objective Fuzzy Reliability Optimization for Auger Coal Miner Based on SPEA Alogrithm,” Machine Design and Research, Vol. 28, No. 5, pp. 117119 (2012).
  19. [19] Zhang, Y., Rui, Y. N., Zhou, H. W. and Tong, Y. W., “Optimization Design of Shaft-Less Screw Conveyor Mechanism for High Viscosity and Large Specific Gravity Materials Based on PSO,” Chinese Journal of Engineering Design, Vol. 21, No. 2, pp. 161165 (2014). doi: 10.3785/j.issn.1006-754X.2014.02.010
  20. [20] Gawande, S. H., Navale, L. G. and Keste A. A., “Design, Development &Validation of Sand Washing Machine,” 2nd National Conference on “Recent Developments in Mechanical Engineering,” Pune, India, pp. 1512 (2013).
  21. [21] Rorres, C., “The Turn of the Screw: Optimal Design of an Archimedes Screw,” Journal of Hydraulic Engineering, Vol. 126, No. 1, pp. 7280 (2000). doi: 10. 1061/(ASCE)0733-9429(2000)126:1(72)
  22. [22] Müller, G. and Senior, J., “Simplified Theory of Archimedean Screws,” Journal of Hydraulic Research, Vol. 47, No. 5, pp. 666669 (2009). doi: 10.3826/jhr.2009. 3457
  23. [23] Assaad, J. J., Asseily, S. E. and Harb, J., “Effect of Specific Energy Consumption on Fineness of Portland Cement Incorporating Amine or Glycol-Based Grinding Aids,” Materials and Structures, Vol. 42, No. 8, pp. 10771087 (2009). doi: 10.1617/s11527-008-9444-0
  24. [24] Tangthieng, C., “Effect of Tube Diameter on the Specific Energy Consumption of the Ice Making Process,” Applied Thermal Engineering, Vol. 31, No. 5, pp. 701 707 (2011). doi: 10.1016/j.applthermaleng.2010.10. 002
  25. [25] Zhang, Q., Fu, Y. F., Song, Q. S., Yuan, Z. and Song, Z. D., “Parameter Optimization of Lowest Energy Consumption for Plow Based on Artificial Fish School Algorithm,” Journal of Guangxi University: Nat Sci Ed, Vol. 37, No. 2, pp. 241246 (2012) (Chinese). doi: 10. 3969/j. issn.1001-7445.2012.02.008
  26. [26] McGlinchey, D., Bulk Solids Handling: Equipment Selection and Operation, Wiley-Blackwell, Oxford, pp. 197219 (2008).
  27. [27] Chen, B., Liu, C. M. and Gu, L., Food Processing Machinery and Equipment, 2nd ed., China Machine Press, Beijing, pp. 2123 (2012) (Chinese).
  28. [28] Beer, F. P., Johnston, Jr. E. R., DeWolf, J. T. and Mazurek, D. F., Mechanics of Materials, 6thed., McGraw-Hill, New York, pp. 52609 (2012).
  29. [29] Liu, W. X., Mechanical Reliability Design, Tsinghua University Press, Beijing, pp. 188220 (1996) (Chinese).
  30. [30] Raheja, D. G. and Gullo, L. J., Design for Reliability, Wiley, London, pp. 1564 (2012).
  31. [31] Xie, L. Y., Reliability Design, Higher Education Press, Beijing, pp. 2837 (2013) (Chinese).
  32. [32] Sun, W. and Yuan, Y. X., Optimization Theory and Methods: Nonlinear Programming, Springer, New York, pp. 71382 (2006).
  33. [33] Rao, R. V. and Savsani, V. J., Mechanical Design Optimization Using Advanced Optimization Techniques, Springer, New York, pp. 5193 (2012).
  34. [34] Kirkpatrick, S., Gelatt, C. D. and Vecchi, M. P., “Optimization by Simulated Annealing,” Science, Vol. 220, No. 4598, pp. 671680 (1983). doi: 10.1126/science. 220.4598.671
  35. [35] Li, X. L., Shao, Z. J. and Qian, J. X., “An Optimizing Method Based on Autonomous Animats: Fish-Swarm Algorithm,” Systems Engineering-Theory & Practice, Vol. 22, No. 11, pp. 3238 (2002) (Chinese). doi: 10. 3321/j.issn:1000-6788.2002.11.007
  36. [36] Guney, K., Durmus, A. and Basbug, S., “A Plant Growth Simulation Algorithm for Pattern Nulling of Linear Antenna Arrays by Amplitude Control,” Progress In Electromagnetics Research B, Vol. 17, pp. 6984 (2009). doi: 10.2528/PIERB09061709
  37. [37] Pan, W. T., “A New Fruit Fly Optimization Algorithm: Taking the Financial Distress Model as an Example,” Knowledge-Based Systems, Vol. 26, No. 2, pp. 6974 (2012). doi: 10.1016/j.knosys.2011.07.001
  38. [38] Pan, W. T., “A New Evolutionary Computation Approach: Fruit Fly Optimization Algorithm,” 2011 Conference of Digital Technology and Innovation Management, pp. 382391 (2011) (Chinese).
  39. [39] Zhao, B., Guo, C. X. and Cao, Y. J., “Optimal Power Flow Using Particle Swarm Optimization and NonStationary Multi-Stage Assignment Penalty Function,” Transactions of China Electrotechnical Society, Vol. 19, No. 5, pp. 4754 (2004) (Chinese). doi: 10.3321/ j.issn:1000-6753.2004.05.010
  40. [40] Chen, Y. Y. and Lin, J. T., “Hierarchical Multi-Constraint Production Planning Problem Using Linear Programming and Heuristics,” Journal of the Chinese Institute of Industrial Engineers, Vol. 25, No. 5, pp. 347 357 (2008). doi: 10.1080/10170660809509098
  41. [41] Yu, P. Y. and Bai, X. M., “Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm,” IRACST-International Journal of Computer Science and Information Technology & Security, Vol. 3, No. 3, pp. 259263 (2013).
  42. [42] Pan, W. T., Fruit Fly Optimization Algorithm, Tsang Hai Book Publishing Co., Taizhong, pp. 913 (2011) (Chinese).
  43. [43] Meerschaert, M. M., Mathematical Modeling, 4thed., China Machine Press, Beijing, pp. 350 (2014) (Chinese).
  44. [44] Choi, S. K., Grandhi, R. V. and Canfield, R. A., Reliability-Based Structural Design, Springer London Ltd, London, pp. 153201 (2006).
  45. [45] Fan, Q. X. and Yang, Z. J., “On a Sensitivity-AnalysisBased Design Method for Shearer Parts,” The Open Mechanical Engineering Journal, Vol. 8, pp. 409413 (2014). doi: 10.2174/1874155X01408010409


    



 

2.1
2023CiteScore
 
 
69th percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.