Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions

IF 1.3 Q2 AGRICULTURE, MULTIDISCIPLINARY
A. J. Nassir, Marwan N. Ramadhan, Ali A. Alwan, Sadiq Muhsin
{"title":"Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions","authors":"A. J. Nassir, Marwan N. Ramadhan, Ali A. Alwan, Sadiq Muhsin","doi":"10.2478/ata-2024-0011","DOIUrl":null,"url":null,"abstract":"Abstract The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert software and response surface methodology. Experiments were carried out in silty loamy soil with three different levels of soil moisture content of 9.25%, 17.56%, and 22.32%, operating depths of 10 cm, 15 cm, and 20 cm, and operating speeds of 3.17, 4.85, and 5.47 km·h-1. The quadratic model proposed by the Design-Expert software was statistically significant (P <0.01), with a strong correlation relationship (R2 = 0.989) between actual and predicted soil pulverisation index values. The adequacy precision achieved at 41.84 showed the models‘ ability to navigate the design space. However, statistical analysis, using the t-test and P-value, showed the actual and predicted values have no significant differences in the pulverisation index of soil. The optimal soil pulverisation index (8.61 mm) was achieved with a desirability of 1.00, at a soil moisture content of 14.43%, an operating depth of 11.64 cm, and a forward speed of 5.30 km·h-1. Model validation confirmed acceptability (R2 = 0.974) and a 99% accuracy in predicting the soil pulverisation index.","PeriodicalId":43089,"journal":{"name":"Acta Technologica Agriculturae","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Technologica Agriculturae","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ata-2024-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert software and response surface methodology. Experiments were carried out in silty loamy soil with three different levels of soil moisture content of 9.25%, 17.56%, and 22.32%, operating depths of 10 cm, 15 cm, and 20 cm, and operating speeds of 3.17, 4.85, and 5.47 km·h-1. The quadratic model proposed by the Design-Expert software was statistically significant (P <0.01), with a strong correlation relationship (R2 = 0.989) between actual and predicted soil pulverisation index values. The adequacy precision achieved at 41.84 showed the models‘ ability to navigate the design space. However, statistical analysis, using the t-test and P-value, showed the actual and predicted values have no significant differences in the pulverisation index of soil. The optimal soil pulverisation index (8.61 mm) was achieved with a desirability of 1.00, at a soil moisture content of 14.43%, an operating depth of 11.64 cm, and a forward speed of 5.30 km·h-1. Model validation confirmed acceptability (R2 = 0.974) and a 99% accuracy in predicting the soil pulverisation index.
在不同操作条件下,利用响应面方法对圆盘耙的土壤粉碎指数进行优化和建模
摘要 该研究旨在通过建模确定圆盘耙的最佳土壤粉碎指数。使用 Design-Expert 软件和响应面方法建立了一个数学模型。实验在淤泥质壤土中进行,土壤含水量分别为 9.25%、17.56% 和 22.32%,作业深度分别为 10 厘米、15 厘米和 20 厘米,作业速度分别为 3.17、4.85 和 5.47 km-h-1。Design-Expert 软件提出的二次方模型具有显著的统计学意义(P <0.01),实际和预测土壤粉碎指数值之间具有很强的相关关系(R2 = 0.989)。达到 41.84 的适当精度表明模型有能力驾驭设计空间。然而,使用 t 检验和 P 值进行的统计分析显示,土壤粉碎指数的实际值和预测值没有显著差异。在土壤含水量为 14.43%、工作深度为 11.64 厘米、前进速度为 5.30 公里/小时-1 的条件下,达到了最佳土壤粉碎指数(8.61 毫米),可取性为 1.00。模型验证确认了预测土壤粉碎指数的可接受性(R2 = 0.974)和 99% 的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Acta Technologica Agriculturae
Acta Technologica Agriculturae AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
2.50
自引率
28.60%
发文量
32
审稿时长
18 weeks
期刊介绍: Acta Technologica Agriculturae is an international scientific double-blind peer reviewed journal focused on agricultural engineering. The journal is multidisciplinary and publishes original research and review papers in engineering, agricultural and biological sciences, and materials science. Aims and Scope Areas of interest include but are not limited to: agricultural and biosystems engineering; machines and mechanization of agricultural production; information and electrical technologies; agro-product and food processing engineering; physical, chemical and biological changes in the soil caused by tillage and field traffic, soil working machinery and terramechanics; renewable energy sources and bioenergy; rural buildings; related issues from applied physics and chemistry, ecology, economy and energy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信