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Theoretical and experimental investigation on optimization of a non-contact air conveyor

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Abstract

Air film conveyors equipped with porous pads have been developed to bring the liquid crystal display (LCD) into a non-contact state during transportation process. In this work, a theoretical model including flow property of porous media and Reynolds equation is established within a representative region in order to optimize the design parameters of a partial porous air conveyor. With the theoretical model, an optimization method using nondominated sorting genetic algorithm–II (NSGA-II) is applied for a two-objective optimization to achieve a minimum air consumption and maximum load capacity. Three Pareto-optimal solutions are selected to analyze the influence of each parameter on the characteristics of the air conveyor, and the results indicate that the position of the porous pads has the most significant impact on the performance and of course must be determined with care. Furthermore, experimental results in terms of the supporting force versus gap clearance show that the optimized air conveyor can greatly improve the load capacity over the normal one, indicating that the optimization method is applicable for practical use.

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References

  1. DEVITT D. The physics of glass flotation [J]. Semiconductor International Japan, 2009, 5: 20–25.

    Google Scholar 

  2. CANDAELE V, LAMBERT P, DELCHAMBRE A. Non-contact handling in microassembly: Acoustical levitation [J]. Precision Engineering, 2005, 29: 491–505.

    Article  Google Scholar 

  3. CHANDRA C J G, SPINIVAS Y L, SEETHARAMU K N, PARAMESWARAN M A. Investigation of air film conveyor pressurized through multiple holes [J]. Finite Elements in Analysis and Design, 1990, 6: 235–243.

    Article  Google Scholar 

  4. FOURKA M, BONIS M. Comparison between externally pressurized gas thrust bearings with different orifice and porous feeding systems [J]. Wear, 1997, 210: 311–317.

    Article  Google Scholar 

  5. LUONG T S, POTZE W, POST J B, van OSTAYEN R A J, van BEEK A. Numerical and experimental analysis of aerostatic thrust bearings with porous restrictors [J]. Tribology International, 2004, 37: 825–832.

    Article  Google Scholar 

  6. BELFORTE G, RAPARELLI T, VIKTOROV V, TRIVELLA A. Permeability and inertial coefficients of porous media for air bearing feeding systems [J]. ASME Journal of Tribology, 2007, 129: 705–711.

    Article  Google Scholar 

  7. LEE H G, LEE D G. Design of a large LCD panel handling air conveyor with minimum air consumption [J]. Mechanism and Machine Theory, 2006, 41: 790–806.

    Article  MATH  Google Scholar 

  8. AMANO K, YOSHIMOTO S, MIYATAKE M, HIRAYAMA T. Basic investigation of noncontact transportation system for large TFT-LCD glass sheet used in CCD inspection section [J]. Precision Engineering, 2011, 35(1): 58–64.

    Article  Google Scholar 

  9. OIWA N, MASUDA M, HIRAYAMA T, MATSUOKA T, YABE H. Deformation and flying height orbit of glass sheets on aerostatic porous bearing guides [J]. Tribology International, 2012, 48: 2–7.

    Article  Google Scholar 

  10. HASHIMOTO H, MATSUMOTO K. Improvement of operating characteristics of high-speed hydrodynamic journal bearings by optimum design, Part I: Formulation of methodology and its application to elliptical bearing design [J]. ASME Journal of Tribology, 2001, 123(4): 305–312.

    Article  Google Scholar 

  11. WANG N Z, CHANG L H, CHA K C. Engineering optimum design of fluid-film lubricated bearings [J]. Tribology Transactions, 2000, 43(3): 377–386.

    Article  Google Scholar 

  12. KANG T S, CHOI D H, JEONG T G. Optimal design of HDD air-lubricated slider bearings for improving dynamic characteristics and operating performance [J]. ASME Journal of Tribology, 2001, 123: 541–547.

    Article  Google Scholar 

  13. SRINIVAS N, DEB K. Multi-objective function optimization using nondominated sorting genetic algorithms [J]. Evolutionary Computations, 1995, 2(3): 221–248.

    Article  Google Scholar 

  14. HIRANI H, SUH N P. Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches [J]. Tribology International, 2005, 38: 481–491.

    Article  Google Scholar 

  15. BHAT N, BARRANS S M. Design and test of a Pareto optimal flat pad aerostatic bearing [J]. Tribology International, 2008, 41: 181–188.

    Article  Google Scholar 

  16. WANG N Z, CHANG Y Z. A Hybrid search algorithm for Porous air bearings optimization [J]. Tribology Transactions, 2002, 45(4): 471–477.

    Article  MathSciNet  Google Scholar 

  17. LU C J, WANG T K. New designs of HDD air-lubricated sliders via topology optimization [J]. ASME Journal of Tribology, 2004, 126: 171–176.

    Article  Google Scholar 

  18. KOTERA H, SHIMA S. Shape optimization to perform prescribed air lubrication using genetic algorithm [J]. Tribology Transactions, 2000, 43(4): 837–841.

    Article  Google Scholar 

  19. WANG N, TSAI C M, CHA K C. Optimum design of externally pressurized air bearing using cluster open MP [J]. Tribology International, 2009, 42: 1180–1186.

    Article  Google Scholar 

  20. WANG N Z, CHANG Y Z. Application of the genetic algorithm to the multi-objective optimization of air bearings [J]. Tribology Letters, 2004, 17(2): 119–128.

    Article  Google Scholar 

  21. HIRANI H. Multiobjective optimization of a journal bearing using the Pareto optimality concept [J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2004, 218(4): 323–336.

    Article  Google Scholar 

  22. BOEDO S, ESHKABILOV S L. Optimal shape design of steadily loaded journal bearings using genetic algorithms [J]. Tribology Transactions, 2003, 46(1): 134–143.

    Article  Google Scholar 

  23. ZENGEYA M, GADALA M. Optimization of journal bearings using a hybrid scheme [J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2007, 221(5): 591–607.

    Article  Google Scholar 

  24. FEDERICO C, MARCELLO C. Multi-objective optimization of a rectangular air bearing by means of genetic algorithms [J]. Journal of Mechanics Engineering and Automation, 2012, 2: 355–364.

    Google Scholar 

  25. ZHONG W, LI X, LIU F H, TAO G L, LU B, KAGAWA T. Measurement and correlation of pressure drop characteristics for air flow through sintered metal porous media [J]. Transport in Porous Media, 2014, 101(1): 53–67.

    Article  Google Scholar 

  26. ZHONG W, TAO G L, LI X, KAWASHIMA K, KAGAWA T. Determination of flow rate characteristics of porous media using charge method [J]. Flow Measurement and Instrumentation, 2011, 22: 201–207.

    Article  Google Scholar 

  27. DEB K, PRATAP A, AGARWAL S. A fast and elitist multi-objective genetic algorithm: NSGA-II [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182–197.

    Article  Google Scholar 

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Correspondence to Wei Zhong  (钟伟).

Additional information

Foundation item: Project(51205174) supported by the National Natural Science Foundation of China; Project(2014M550309) supported by the Postdoctoral Science Foundation of China; Project(GZKF-201407) supported by the Open Foundation of the State Key Laboratory of Fluid Power Transmission and Control, China

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Zhong, W., Li, X., Tao, Gl. et al. Theoretical and experimental investigation on optimization of a non-contact air conveyor. J. Cent. South Univ. 23, 353–361 (2016). https://doi.org/10.1007/s11771-016-3080-6

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  • DOI: https://doi.org/10.1007/s11771-016-3080-6

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