Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)

Due to the dense crop residue in the Huang-Huai-Hai region, challenges such as large resistance, increased power consumption, and straw backfilling arise in the process of no-till seeding under the high-speed operations. This paper presents the design of a straw treatment device to address these iss...

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Main Authors: Shaochuan Li, Peisong Diao, Xianghao Li, Yongli Zhao, Hongda Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
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Online Access:https://www.mdpi.com/2077-0472/15/2/152
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author Shaochuan Li
Peisong Diao
Xianghao Li
Yongli Zhao
Hongda Zhao
author_facet Shaochuan Li
Peisong Diao
Xianghao Li
Yongli Zhao
Hongda Zhao
author_sort Shaochuan Li
collection DOAJ
description Due to the dense crop residue in the Huang-Huai-Hai region, challenges such as large resistance, increased power consumption, and straw backfilling arise in the process of no-till seeding under the high-speed operations. This paper presents the design of a straw treatment device to address these issues. The cutting edge of a straw-cutting disc is optimized using an involute curve, and the key structural parameters of the device are designed by analyzing the process of stubble cutting and clearing. In this study, the Discrete Element Method (DEM) was employed to construct models of compacted soil and hollow, flexible wheat straw, forming the foundation for a comprehensive interaction model between the tool, soil, and straw. Key experimental variables, including working speed, rotation speed, and installation centre distance, were selected. The power consumption of the straw-cutting disc (PCD) and the straw-clearing rate (SCR) were used as evaluation metrics. Response surface methodology was applied to develop regression models linking the experimental factors with the evaluation indexes using Design-Expert 12 software. Statistical significance was assessed through ANOVA (<i>p</i> < 0.05), and factor interactions were analyzed via response surface analysis. The optimal operational parameters were found to be a working speed of 14 km/h, a rotation speed of 339.2 rpm, and an installation centre distance of 100 cm. Simulation results closely matched the predicted values, with errors of 1.59% for SCR and 9.68% for PCD. Field validation showed an SCR of 86.12%, improved machine passability, and favourable seedling emergence. This research provides valuable insights for further parameter optimization and component development.
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spelling doaj-art-d735bc1ddd794e82b3197d8cde75b9442025-01-24T13:15:55ZengMDPI AGAgriculture2077-04722025-01-0115215210.3390/agriculture15020152Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)Shaochuan Li0Peisong Diao1Xianghao Li2Yongli Zhao3Hongda Zhao4School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, ChinaSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, ChinaSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, ChinaSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, ChinaSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, ChinaDue to the dense crop residue in the Huang-Huai-Hai region, challenges such as large resistance, increased power consumption, and straw backfilling arise in the process of no-till seeding under the high-speed operations. This paper presents the design of a straw treatment device to address these issues. The cutting edge of a straw-cutting disc is optimized using an involute curve, and the key structural parameters of the device are designed by analyzing the process of stubble cutting and clearing. In this study, the Discrete Element Method (DEM) was employed to construct models of compacted soil and hollow, flexible wheat straw, forming the foundation for a comprehensive interaction model between the tool, soil, and straw. Key experimental variables, including working speed, rotation speed, and installation centre distance, were selected. The power consumption of the straw-cutting disc (PCD) and the straw-clearing rate (SCR) were used as evaluation metrics. Response surface methodology was applied to develop regression models linking the experimental factors with the evaluation indexes using Design-Expert 12 software. Statistical significance was assessed through ANOVA (<i>p</i> < 0.05), and factor interactions were analyzed via response surface analysis. The optimal operational parameters were found to be a working speed of 14 km/h, a rotation speed of 339.2 rpm, and an installation centre distance of 100 cm. Simulation results closely matched the predicted values, with errors of 1.59% for SCR and 9.68% for PCD. Field validation showed an SCR of 86.12%, improved machine passability, and favourable seedling emergence. This research provides valuable insights for further parameter optimization and component development.https://www.mdpi.com/2077-0472/15/2/152straw treatment componentDEMoptimal working parametersrespond surface methodology
spellingShingle Shaochuan Li
Peisong Diao
Xianghao Li
Yongli Zhao
Hongda Zhao
Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
Agriculture
straw treatment component
DEM
optimal working parameters
respond surface methodology
title Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
title_full Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
title_fullStr Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
title_full_unstemmed Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
title_short Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM)
title_sort design and optimization for straw treatment device using discrete element method dem
topic straw treatment component
DEM
optimal working parameters
respond surface methodology
url https://www.mdpi.com/2077-0472/15/2/152
work_keys_str_mv AT shaochuanli designandoptimizationforstrawtreatmentdeviceusingdiscreteelementmethoddem
AT peisongdiao designandoptimizationforstrawtreatmentdeviceusingdiscreteelementmethoddem
AT xianghaoli designandoptimizationforstrawtreatmentdeviceusingdiscreteelementmethoddem
AT yonglizhao designandoptimizationforstrawtreatmentdeviceusingdiscreteelementmethoddem
AT hongdazhao designandoptimizationforstrawtreatmentdeviceusingdiscreteelementmethoddem