• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • Tagged with
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Bio-Inspired Self-Flowing Wood Treatment

Wang, Xuan 07 1900 (has links)
Wood chemical treatment is an important process in the wood industry, in that such treatment alters the properties of wood so that a variety of wood-based products can be fabricated with enhanced performance. However, wood's complex composition and structure make it difficult to achieve consistent and controllable treatment. An innovative self-flowing process presented for the chemical treatment of wood is inspired by liquid transportation in trees. Effectiveness of the self-flowing process is evaluated and compared to conventional immersion and vacuum wood treatment methods. The self-flowing process allows a more uniform wood treatment compared to that from the immersion and vacuum pressure methods. Lignin content after self-flowing delignification is below 5% with a standard deviation of 0.7, compared to ~20% with a standard deviation of 8 for both immersion and vacuum pressure methods. The self-flowing process allows 100% chemical impregnation depth for the preservation treatment. A mathematical model was developed to simulate the self-flowing process. This model can accurately predict the treatment time required for achieving desired results under various conditions, including temperature, wood density, and liquid properties. This work demonstrates that the self-flowing treatment is a highly efficient, cost-effective, and reliable method in wood preservation and modification industries.

Page generated in 0.2989 seconds