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Materials Selection for Natural Fiber Composites
Hoofdkenmerken
Auteur: Faris M. Al-Oqla; S. M. Sapuan
Titel: Materials Selection for Natural Fiber Composites
Uitgever: Elsevier S & T
ISBN: 9780081022771
ISBN boekversie: 9780081009581
Prijs: € 275.77
Verschijningsdatum: 09-06-2017
Inhoudelijke kenmerken
Categorie: Materials science
Taal: English
Imprint: Woodhead Publishing
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

\u003cp\u003e\u003ci\u003eMaterials Selection for Natural Fiber Composites\u003c/i\u003e covers the use of various tools and techniques that can be applied for natural fiber composite selection to expand the sustainable design possibilities and support 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. \u003c/p\u003e \u003cp\u003eCurrent developments in selecting the natural fiber composite material system, including the natural fiber composites and their constituents (fibers and polymers) is the main core of the book, with in detailed sections on various technical, environmental and economic issues to enhance both environmental indices and the industrial sustainability theme. \u003c/p\u003e \u003cp\u003eRecent 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 are also discussed.\u003c/p\u003e\u003cul\u003e \u003cli\u003eFocuses on materials selection for natural fiber composites\u003c/li\u003e \u003cli\u003eCovers potential tools and techniques, such as analytical hierarchy process, knowledge-based systems, Java-based materials selection system, artificial neural network, the Pugh selection method and digital logic technique\u003c/li\u003e \u003cli\u003eContains contributions from leading experts in the field\u003c/li\u003e\u003c/ul\u003e
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