A visualization of testing apparatus was developed to measure property of oilseeds relevant to physical mechanics during mechanical pressing for oil extraction. Stress-strain relationships were measured for extruded peanut, soybean, sesame and linseed compressed at thirteen pressures under uniaxial cold pressing. The prediction model of the stress-strain relationship was developed based on BP neural network. Results indicated that the stress-strain relationships were nonlinear. Over 50% strains for extruded soybean, sesame and linseed occurred at stress below 20MPa. Over 60% strain for extruded peanut occurred at stress below 10MPa. No more than 13% strain occurred at stress over 20MPa for extruded soybean sesame and linseed, and no more than 13% strain occurred at stress over 10MPa for extruded peanut. The maximum error between prediction and measurement for the stress-strain relationship was less than 0.0084 and the maximum training times was less than 88.
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Zheng, X., Lin, G., He, D., Wang, J. (2008). Measurement and Prediction of Stress-strain for Extruded Oilseed Using Neural Networks Under Uniaxial Cold Pressing. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume I. CCTA 2007. The International Federation for Information Processing, vol 258. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77251-6_1
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DOI: https://doi.org/10.1007/978-0-387-77251-6_1
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