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Drying Technology
An International Journal
Volume 39, 2021 - Issue 6
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Articles

Characterization of moisture states and transport in MUF resin-impregnated poplar wood using low field nuclear magnetic resonance

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Pages 791-802 | Received 29 Nov 2019, Accepted 19 Jan 2020, Published online: 03 Feb 2020
 

Abstract

In this study, the spin–spin relaxation time (T2) distributions of free water and bound water, as well as the moisture content (MC) profiles of MUF resin-impregnated poplar wood (Populous tomentosa) sample (RI) were investigated by low-field nuclear magnetic resonance, with the aim of providing insights into how MUF resin impregnation affects the moisture states and moisture transport in modified poplar wood during drying. The T2 curves demonstrated that the resin treatment did not increase the number of peaks in the T2 distributions, but affected the T2 value as compared to the control. Above the fiber saturation point (FSP), the T22 (corresponds to the free water in wood rays and wood fibers) of the RI sample exhibited an increase compared to the control, while the T23 (corresponds to the free water in the vessels) was almost unchanged. Below the FSP, a shorter T21 (corresponding to the bound water) of the RI sample was observed compared to the control. The drying curves and MC profiles indicated a significant difference in the moisture transport in the RI sample as compared to the control. The gradually cured resin system in the wood surface layer during drying provided a barrier for the transfer of water in the center layer toward to the surface, causing the resin curing reactions in the surface and core layers to be out of sync. Therefore, a more significant MC gradient was observed for the resin-impregnated sample.

Acknowledgments

The authors would like to thank the engineers Bing Lu and Hao Ding at Niumag Corp., Ltd. in Shanghai for their technical support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors are grateful for the support of the National Natural Science Foundation of China (31800479), Scientific Research Fund of Hunan Provincial Education Department (19B592) and the Forestry Industry Research Special Funds for Public Welfare Projects (201404501).

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