Materials Selection for Natural Fiber Composites

The overall scope of the book is on materials selection for natural fiber composites. It covers the use of various tools and techniques that can be applied for natural fiber composite selection to expand the sustainable design possibilities as well as supporting cleaner production requirements. These techniques include the analytical hierarchy process, knowledge-based system, Java based materials selection system, artificial neural network, Pugh selection method, and the digital logic technique. Information on related topics such as materials selection and design, natural fiber composites, and materials selection for composites are discussed to provide background information to the main topic. Current developments in selecting the natural fiber composite material system including the natural fiber composites and their constituents (fibers and polymers) will be the main core of the book and will be discussed in detail looking at various technical, environmental and economic issues to enhance both environmental indices and the industrial sustainability theme. As well as recent developments on the analytical hierarchy process in natural fiber composite materials selection, materials selection for natural fiber composites, and knowledge based system for natural fiber composite materials selection will be also discussed under the uncertainty environment to enhance such bio-based materials selection. Focuses on materials selection for natural fiber composites Covers potential tools and techniques such as analytical hierarchy process, knowledge-based systems, Java-based materials selection system, artificial neural network, Pugh selection method and the digital logic technique Contributions from leading experts in the field