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Prediction of Paddy Straw Mechanical Properties under Varying Moisture Content and Loading Rate using ANN

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Title Prediction of Paddy Straw Mechanical Properties under Varying Moisture Content and Loading Rate using ANN
 
Creator Patel, Abhishek
Singh, Krishna Pratap
Roul, Ajay Kumar
Agrawal, Kamal Nayan
Singh, Karan
Kumar, Manoj
 
Subject Bending strength
Force-deformation curve
Node positions
Shear strength
Young’s modulus
 
Description 76-83
In this work, the mechanical properties of paddy straw were evaluated using force-deformation curves and neural
network approaches. The mechanical strength of the paddy straw was estimated at Moisture Contents (MC) of 10.8, 13.5,
and 18.4% (w. b.), on distinguished internode positions, that is, N1, N2, and N3, and with applied Loading Rates (LR), that
is, 25, 30, and 35 mm/min, respectively. Results shows that the values of Bending Strength (BS), Shear Strength (SS), and
Young's Modulus (YM) were increasing from 5.35 to 17.34 MPa, 4.99 to 7.35 MPa, 0.43 to 1.39 GPa, respectively, through
the node position from N3 to N1 with a decrease in MC and an increase in load through internode N1 to N3. Thus the MC
and LR at different internode positions significantly (P
 
Date 2024-01-08T11:42:31Z
2024-01-08T11:42:31Z
2024-01
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63173
https://doi.org/10.56042/jsir.v83i1.5418
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(01) [January 2024]