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Optimization of Various Parameter on Bearing Strength of Natural Fiber Reinforced Composites Using Statistical Methods
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8673.088619
Subject(s) - materials science , composite material , bearing (navigation) , bearing capacity , joint (building) , composite number , collar , bolted joint , failure mode and effects analysis , enhanced data rates for gsm evolution , reinforcement , structural engineering , finite element method , computer science , engineering , telecommunications , artificial intelligence
In the recent studies, Jute fiber is seen as a commonly used reinforcement material to develop reinforced plastics for their mechanical applications. Due to its availability at low cost, biodegradable nature, and possessing moderate mechanical properties, it is preferred in the development of polymer matrix composites. Bolted joints are vastly used in many application and constitute an integral part of structural components. The reliability of the Bolted joint depends on bearing strength, which is remarkably influenced by various parameters. The proposed work presents the experimental study on the impact of different factors such as width to hole diameter (W/D) ratio, edge distance to hole diameter (E/D) ratio, varied as 2.6, 2.8, 3.25 hole diameter varies 5, 7, 8 respectively. The bearing test was carried out in accordance with the ASTM standard D 953 to determine the specific bearing strength of the composite. Using the collars in Bolted joints directly influences the bearing strength and load carrying capacity. In this study with collar of 3.25 of W/D and E/D ratio specimen can bear more load and safe the specimen bearing failure mode compared to 3.25 W/D and E/D ratio of composite specimen without collar. Hence using collar in joints carries more load and avoids sudden failures. These results were also proven with the support of statistical tools.

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