{"title":"Modelling rupture and relaxation characteristics of soybean under compressive loading","authors":"Emmanuel Baidhe, Clairmont L. Clementson","doi":"10.1016/j.biosystemseng.2025.104137","DOIUrl":null,"url":null,"abstract":"<div><div>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<sup>−1</sup>), 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.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"254 ","pages":"Article 104137"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S153751102500073X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.