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Liu, Qiang; Chen, Xun; Gindy, Nabil (2007)
Publisher: Professional Engineering Publishing
Languages: English
Types: Article
Subjects: T1, TA
The quality and economy of grinding depend on proper selection of grinding conditions for the materials to be ground. In order to evaluate the effect of heavy-duty grinding, a new performance index, which includes specific material removal rate, size accuracy, and grinding forces, was proposed. Robust design of experiment, including orthogonal arrays, the signal-to-noise ratio (SNR) method, and analysis of variance (ANOVA) for multivariate data, was employed to estimate the effect of uniform experimental design and to optimize grinding parameters. Empirical models of grinding force were investigated for finite element analysis of new fixture design. These empirical models, based on robust design of experiments and multiple regression methodology, have been confirmed through further verification experiments. Correlation coefficients from 0.87 to 0.96 were achieved.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1 Hitchiner, M. Grinding of aerospace alloys with vitrified CBN. Abrasives, December 1998/January 1999, 25-32.
    • 2 To¨nshoff, H. K., Friemuth, T., and Becker, J. C. Process monitoring in grinding. CIRP Ann., Mfg Technol., 2002, 51(2), 551-571.
    • 3 Stephenson, D. J., Jin, T., and Corbett, J. High efficiency deep grinding of a low alloy steel with plated CBN wheels. Ann. CIRP, 2002, 51(1), 241-244.
    • 4 To¨nshoff, H. K., Wobker, H.-G., and Brunner, G. CBN grinding with small wheels. Ann. CIRP, 1995, 44(1), 311-316.
    • 5 Malkin, S. Grinding technology theory and applications of machining with abrasives, 1994 (Ellis Horwood Ltd, Chichester, UK).
    • 6 To¨nshoff, H. K. Modelling and simulation of grinding processes. Ann. CIRP, 1992, 41(2), 677-688.
    • 7 Chen, X. and Rowe, W. B. Modelling surface roughness improvement in grinding. Proc. Instn Mech. Engrs, Part B: J. Engineering Manufacture, 1999, 213(B1), 93-96.
    • 8 Brinksmeier, E., Heinzel, C., and Wittmann, M. Friction, cooling and lubrication in grinding. CIRP Ann., Mfg Technol., 1999, 48(2), 581-598.
    • 9 Park, S. H. Robust design and analysis for quality engineering, 1996 (Chapman & Hall, London).
    • 10 Maghsoodloo, S. and Chang, C.-L. Quadratic loss functions and signal-to-noise ratios for a bivariate response. J. Mfg Systems, 2001, 20(1), 1-12.
    • 11 Hosmer, D. W. and Lemeshow, S. 2nd edn. Applied logistic regression, 2000 (John Wiley & Sons, Canada).
    • 12 Kalpakjian, S. and Schmid, S. R. Eds. Manufacturing engineering and technology, 4th edn, 2001 (PrenticeHall International (UK) Ltd, London).
    • 13 Khoei, A. R., Masters, I., and Gethin, D. T. Design optimisation of aluminium recycling processes using Taguchi technique. J. Mater. Processing Technol., 2002, 127(1), 96-106.
    • 14 Montgomery, D., Montgomery, C., and Runger, G. C. 4th edn. Applied statistics and probability for engineers, 2006 (John Wiley & Sons, Hoboken, N.J.).
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