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Groups and Facilities


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Forest Products 
Drying, wood composites, manufacturing and sensors.


   

Recent Publications

Quantifying natural variation of formaldehyde emissions for wood composite panels.  Young, T. M., J. Otjen, and N. O. Andre.  2014.  PTF BPI 2014. 3rd Intern. Conf. Processing Tech. for the Forest and Bio-based Products Industries, Salzburg/Kuchl, Austria, 24-26 September 2014. p. 461-465.

Layer thickness swell characteristics of medium density fiberboard (MDF) panels affected by some production parameters.  Candan, Z., T. Akbulut, S. Wang, X. Zhang, and A. F. Sisci.  2012.  Wood Research 2012: 57(3): 441-452., (did not report in 2012).

Kernel ridge regression with lagged dependent variable: applications to prediction of internal bond strength in a medium density fiberboard process Kim, N., Jeong, Y.S., Jeong, M.K., and T. M. Young.  2012.  IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews 42(6):1011-102.

An extension of regression trees to generate better predictive models Kim, H., F. M. Guess, and T. M. Young.  2011.  IIE Transactions, 43(1):43-54. doi: 10.1080/0740817X.2011.590441.

Over-pressing of thin medium density fiberboard.  Du, G., S. Wang, and H, Lei.  2010.  Journal of Beijing Forestry University 32(1): 114-117.

Bootstrap confidence intervals for percentiles of reliability of modern engineered wood.  Edwards, D. J., F. M. Guess, and T. M. Young.  2010.  Wood Science and Technology. 45:533-546. doi 10.1007/s00226-010-0346-2.

Enhanced Prediction of Internal Bond Strength in a Medium Density Fiberboard Process Using Multivariate Methods and Variable Selection.  Andre, N. O., H.W. Cho, S.H. Baek, M.K. Jeong, and T. M. Young.  2008.  Wood Science and Technology. 42:521-534. DOI 10.1007/s00226-008-0204-7.

Predictive Modeling the Internal Bond of Medium Density Fiberboard Using a Modified Principal Component Analysis.  Clapp, N.E., Jr., T. M. Young, and F.M. Guess.  2008.  Forest Products Journal. 58(4):49-55.

A Comparison of multiple linear regression and quantile regression for modeling the internal bond of medium density fiberboard Young, T. M., L.B. Shaffer, F.M. Guess, H. Bensmail, and R.V. León.  2008.  Forest Products Journal. 58(4):39-48.

Decision tree applications for forestry and forest products manufacturers.  Young, T. M., Y. J. Wang, D. G. Hodges, and F. M. Guess.  2008.  Proc. of 2008 Southern Forest Economics Workshop. Savannah, GA. Ed. Tommy Tye. Center for Forest Business, University of Georgia, Athens.

Properties of Medium Density Fiberboards Made From Renewable Biomass.  Ye, X. P., J. Julson, M. Kuo, A. R. Womac, and D. Myers.  2007.  Bioresource Technology, 98(5), 1077-84.

Function domain sets confidence intervals for the mean residual life function with applications in production in medium density fiberboard Steele, J.C.  2006.  M.S. Thesis. The University of Tennessee, Knoxville. 108p.