MATEC Web Conf.
Volume 97, 2017Engineering Technology International Conference 2016 (ETIC 2016)
|Number of page(s)||4|
|Published online||01 February 2017|
Analytical Hierarchy Process for Natural Fiber Composites Automotive Armrest Thermoset Matrix Selection
Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Level 1, Block S2, UniCITI Alam Campus, Sungai Chuchuh, 02100, Padang Besar, Perlis, Malaysia
* Corresponding author: email@example.com
The automotive industry is currently shifting to a ‘green’ outlook since that the popularity of natural fibers in composites plastics is accelerating in many areas and particularly the automotive industry. Nowadays, consumers are looking for vehicles more environmentally friendly and lighter in weight. For this reason, the engineers are now focusing to substitute the metal parts on utilizing the natural fiber composites. Selecting the right material in product development is a crucial decision. Imprecise decision can cause the product to be remanufactured and not in optimized condition. One of the methods that can be employed is Analytical Hierarchy Process (AHP). This paper illustrates the implementation of AHP method in order to select the most appropriate thermoset matrix for natural fiber composites automotive armrest. The selection is based on the weight reduction as the major aim of the study.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.