{"title":"Experiment and Optimization of High-Efficiency Mechanical Separation of Peanut Seedlings and Residual Film Based on Suspension Velocity","authors":"Gu Fengwei, Meng Yang, Zhichao Hu, Yanhua Zhang, Zhang Chong, Wang Shenying","doi":"10.13031/TRANS.14512","DOIUrl":null,"url":null,"abstract":"Highlights An efficient method for separating peanut seedlings and the residual film harvested from film-mulched peanut was proposed, and the mechanism was optimized. The relationships between the suspension velocity and moisture content of different shredded materials of peanut seedlings was studied. Four-factor and three-horizontal Box-Behnken experiments were carried out and analyzed based on Design-Expert 8.0.6 software, and the optimal parameters combination was determined. A validation test was carried out to verify the rationality and accuracy of the optimized regression model. Abstract. To address the current problems of lower residual film removal rate and higher material loss rate in the forage utilizing process of peanut seedlings wrapped in residual film, this paper studied the relationships between the suspension velocity and moisture content of different shredded materials derived from peanut seedlings, and conducted performance test and parameters optimization for the 9HRC-100 machine that utilizes peanut seedling as forage materials (hereinafter referred to as the machine). Four-factor and three-horizontal Box-Behnken experiments were designed by taking the rotational speeds of the shredding shaft, upper fans, lower fans and frequency of the vibrating sieve as test factors, taking the residual film removal rate and material loss rate as response values. The test results indicated that the suspension velocity of the shredded materials showed a quadratic relationship with moisture","PeriodicalId":23120,"journal":{"name":"Transactions of the ASABE","volume":"70 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of the ASABE","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.13031/TRANS.14512","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Highlights An efficient method for separating peanut seedlings and the residual film harvested from film-mulched peanut was proposed, and the mechanism was optimized. The relationships between the suspension velocity and moisture content of different shredded materials of peanut seedlings was studied. Four-factor and three-horizontal Box-Behnken experiments were carried out and analyzed based on Design-Expert 8.0.6 software, and the optimal parameters combination was determined. A validation test was carried out to verify the rationality and accuracy of the optimized regression model. Abstract. To address the current problems of lower residual film removal rate and higher material loss rate in the forage utilizing process of peanut seedlings wrapped in residual film, this paper studied the relationships between the suspension velocity and moisture content of different shredded materials derived from peanut seedlings, and conducted performance test and parameters optimization for the 9HRC-100 machine that utilizes peanut seedling as forage materials (hereinafter referred to as the machine). Four-factor and three-horizontal Box-Behnken experiments were designed by taking the rotational speeds of the shredding shaft, upper fans, lower fans and frequency of the vibrating sieve as test factors, taking the residual film removal rate and material loss rate as response values. The test results indicated that the suspension velocity of the shredded materials showed a quadratic relationship with moisture
期刊介绍:
This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.