Modelling rupture and relaxation characteristics of soybean under compressive loading

This study evaluates the mechanical compression behaviour of soybeans varieties (P23A40E, XF31-32N, and EL30-33) for optimal energy usage in oil extraction. The influence of initial pressing height (20, 30, and 50 mm) and loading rate (20, 30, and 50 mm min −1 ), and variety on rupture, deformation and relaxation behaviours were investigated. Compression tests were performed using a TestResources universal testing machine equipped with 5 kN and 25 kN load cells for single kernel and bulk soybeans, respectively. Mathematical models were used to characterize the load-deformation and relaxation properties of soybeans under compression. Results showed that variety, initial pressing height, and loading rate significantly affected rupture energy and modulus of elasticity (p < 0.05). Rupture energy increased while modulus of elasticity decreased with higher loading rates and initial pressing heights across varieties. The Tangent model (order 1–3) effectively described load-deformation characteristics, while the Peleg and Normand model provided an accessible method to model relaxation behaviour, presenting an RMSE <0.0058. The Maxwell Standard Linear Solid (SLS) model effectively simulated stress dynamics over compression and relaxation stages. Collectively, these models offer insights into load requirements, energy loss mitigation, and quality maintenance, with implications for scaling up compression-based soybean oil production. The study concludes that selecting optimal loading parameters based on variety-specific characteristics improves energy efficiency and oil yield. This comprehensive approach advances understanding of soybean behaviour under compression, enabling more efficient, quality-focused oil extraction processes. • Soybean variety impacts rupture energy encouraging variety-specific processing. • Tangent curve model identifies optimal load to enhance energy use and oil quality. • Peleg and Normand model simplifies effective assessment of relaxation energy losses. • The Maxwell SLS model accurately simulates stress in soybean compression. • Combined modeling guides on optimal compressive loading for quality oil extraction.

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Publication Details

Journal
Biosystems Engineering
Published
2025-04-09
DOI
https://doi.org/10.1016/j.biosystemseng.2025.104137
Citations
3
Primary Topic
Agricultural Engineering and Mechanization
Type
article
Field-Weighted Citation Impact
2.14

Funders

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article

Modelling rupture and relaxation characteristics of soybean under compressive loading

Clairmont L. Clementson, Emmanuel Baidhe
3 citations
Biosystems Engineering
Agricultural Engineering and Mechanization
2.14
article

Modelling rupture and relaxation characteristics of soybean under compressive loading

Clairmont L. Clementson, Emmanuel Baidhe
article en
3 citations

Abstract

This study evaluates the mechanical compression behaviour of soybeans varieties (P23A40E, XF31-32N, and EL30-33) for optimal energy usage in oil extraction. The influence of initial pressing height (20, 30, and 50 mm) and loading rate (20, 30, and 50 mm min −1 ), and variety on rupture, deformation and relaxation behaviours were investigated. Compression tests were performed using a TestResources universal testing machine equipped with 5 kN and 25 kN load cells for single kernel and bulk soybeans, respectively. Mathematical models were used to characterize the load-deformation and relaxation properties of soybeans under compression. Results showed that variety, initial pressing height, and loading rate significantly affected rupture energy and modulus of elasticity (p < 0.05). Rupture energy increased while modulus of elasticity decreased with higher loading rates and initial pressing heights across varieties. The Tangent model (order 1–3) effectively described load-deformation characteristics, while the Peleg and Normand model provided an accessible method to model relaxation behaviour, presenting an RMSE <0.0058. The Maxwell Standard Linear Solid (SLS) model effectively simulated stress dynamics over compression and relaxation stages. Collectively, these models offer insights into load requirements, energy loss mitigation, and quality maintenance, with implications for scaling up compression-based soybean oil production. The study concludes that selecting optimal loading parameters based on variety-specific characteristics improves energy efficiency and oil yield. This comprehensive approach advances understanding of soybean behaviour under compression, enabling more efficient, quality-focused oil extraction processes. • Soybean variety impacts rupture energy encouraging variety-specific processing. • Tangent curve model identifies optimal load to enhance energy use and oil quality. • Peleg and Normand model simplifies effective assessment of relaxation energy losses. • The Maxwell SLS model accurately simulates stress in soybean compression. • Combined modeling guides on optimal compressive loading for quality oil extraction.

Biosystems EngineeringVol. 254
North Dakota State University (US)
U.S. Department of Agriculture, National Institute of Food and Agriculture
Zero hunger
Openalex Percentile: Top 14%
Agricultural Engineering and Mechanization
2.14
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