2017
DOI: 10.1016/j.procir.2016.11.227
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Quantifying the Uncertainty Associated with the Material Properties of a Natural Fiber

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Cited by 15 publications
(16 citation statements)
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“…The second linear part can be considered as the elastic region of the curve. The third part is attributed to the elementary rupture of jute fibers [4].…”
Section: Methodsmentioning
confidence: 99%
“…The second linear part can be considered as the elastic region of the curve. The third part is attributed to the elementary rupture of jute fibers [4].…”
Section: Methodsmentioning
confidence: 99%
“…The jute fibers of different lengths, collected from different parts of the same plant, have different tensile strength. 87 The tensile strengths of banana short-fiber, macro particles and micro particles-based NFRPCs increase; however, the tensile modulus decreases with an increase in the fiber size. 88 The long curaua fiber reinforced epoxy composite possesses the maximum tensile strength.…”
Section: Effects On Tensile and Flexural Propertiesmentioning
confidence: 98%
“…Alternatively, one can use possibility distributions or fuzzy numbers (e.g., triangular fuzzy numbers and trapezoidal fuzzy numbers) [ 31 , 32 , 33 , 34 ] to represent the uncertainty associated with each combination of machining condition and performance parameter. Possibility distribution based analysis has been shown to be effective in quantifying the uncertainty associated with materials’ properties [ 35 , 36 , 37 ], surface roughness [ 38 , 39 ], CO2 emissions and alike [ 40 ]. A possibility distribution is a probability-distribution-neutral representation of uncertainty associated with a quantity [ 31 , 32 , 33 , 34 ].…”
Section: Uncertainty Analysismentioning
confidence: 99%