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Composites: Mechanics, Computations, Applications: An International Journal

年間 4 号発行

ISSN 印刷: 2152-2057

ISSN オンライン: 2152-2073

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.2 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00004 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.08 SJR: 0.153 SNIP: 0.178 CiteScore™:: 1 H-Index: 12

Indexed in

OPTIMIZATION OF PARAMETERS INFLUENCING THE DYNAMIC BEHAVIOR OF A BANANA FIBER-REINFORCED HYBRID POLYMER MATRIX

巻 8, 発行 1, 2017, pp. 35-46
DOI: 10.1615/CompMechComputApplIntJ.v8.i1.20
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要約

The natural fiber composite offers numerous advantages over the synthetic fiber composite. In this work, the effects of the nature of alkali used for fiber treatment, curing temperature, and fiber volume on the dynamic behavior of banana fiber-reinforced hybrid polymer matrix composite were studied. The various alkali solutions, used for fiber treatment, were prepared from NaOH, KOH, and KMnO4. The hybrid polymer, used as matrix, was prepared by blending cashew nut shell liquid (CNSL) with Isotholic Polyester. The dynamic behavior of the composite was studied using commercial Finite Element Analysis (FEA) software ANSYS and the same was validated through experimental analysis. The analysis of variance (ANOVA) technique was employed using the Taguchi and Response Surface Methodology (RSM) approaches to find out the level of influence of different parameters on the dynamic behavior of a composite. The predictions, obtained from Taguchi and RSM, were compared.

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