2015
DOI: 10.3844/ajeassp.2015.648.658
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Parameters Optimization of Adaptive Cashew Shelling Cutter Based on BP Neural Network and Genetic Algorithm

Abstract: The aim of this study is to determine the optimal parameters of the adaptive cashew shelling cutter. To meet the requirements of cashew nut processing enterprises, this study takes the whole-kernel rate as the optimization objective. Let the three main parameters of the adaptive cashew shelling cutter: The distance between upper and lower cutters, the pre-pressure of the spring and the velocity of the scraper be design variables. The BP neural network and genetic algorithm is used to find out the optimal param… Show more

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Cited by 5 publications
(2 citation statements)
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“…At a time, 25 roasted cashew nuts can be cracked using this box-type sheller. Fu et al (6) (2016) developed an automated cashew nut sheller. It consists of adaptive cashew nut shelling cutters, a support frame cutter, and a scraper.…”
Section: Previous Approachesmentioning
confidence: 99%
“…At a time, 25 roasted cashew nuts can be cracked using this box-type sheller. Fu et al (6) (2016) developed an automated cashew nut sheller. It consists of adaptive cashew nut shelling cutters, a support frame cutter, and a scraper.…”
Section: Previous Approachesmentioning
confidence: 99%
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confidence: 99%