Aug 2026· INMATEH Agricultural Engineering· 0 citations· 10 references
Abstract
To investigate the effects of moisture content on the compressive mechanical properties of sweet potato roots, this study used three sweet potato varieties (Zishu, Hongyao, and Xiguahong) cultivated in the Tianjin region as experimental materials. Experiments were conducted between October 8, 2025, and January 8, 2026, in a laboratory environment maintained at 20°C ± 2°C and 50% ± 5% relative humidity. The test employed a moisture content measurement method based on storage duration, measuring moisture content every 10 days. Simultaneously, compressive mechanical property tests were performed using an INSTRON 3344 series universal material testing machine under conditions of a 10 mm/min loading speed and a maximum pressure of 1500 N. The maximum rupture force, maximum deformation, and elastic modulus of sweet potatoes at different moisture contents were determined. Data analysis was conducted using Design-Expert 13 software. The results indicated that the variation patterns of moisture content were similar across the different sweet potato varieties. The moisture content decreased rapidly during the initial storage period, showed a brief increase in the middle stage, and then continued to decline at a slower rate in the later stage. Moisture content significantly affected the compressive mechanical properties of sweet potatoes. As the moisture content decreased, the elastic modulus and maximum rupture force increased, while the maximum deformation decreased.
This study quantitatively evaluates the combined effects of moisture content, compaction coefficient, and the number of freeze-thaw cycles on the deformation properties of clayey soils. The study was conducted under laboratory conditions. Soil samples with varying moisture contents ranging from 14% to 25% and compactio...
V. Shapovalov, M. Okost, A. V. Morozov et al.· Вестник Ростовского государс...· 0 citations
This study investigates the influence of straw incorporation on the hygroscopic behavior of plaster-based composites for sustainable building applications. Two formulations were prepared using plaster with 0% and 3% straw content by mass in order to evaluate the effect of lignocellulosic fibers on moisture-related pr...
M. Medini, Mohamed El Haim, Abdelouafi El Ghoulbzouri et al.· E3S Web of Conferences· 0 citations
The study investigated the effects of osmotic pretreatment and drying temperature on drying kinetics, heat and mass transfer and quality attributes of sweet potato slices. Mature sweet potato were sliced into 2, 4 and 6 mm thicknesses and subjected to osmotic pretreatment using NaCl, CaCl2 and C6H8O6 solutions at conce...
H. K. Bako, Moses Zipporah· Journal of Science Research...· 0 citations
High-temperature drying can considerably improve drying efficiency. However, information on its impact on the mechanical properties of silver fir during industrial high-temperature drying remains limited. Elevated drying temperatures may induce changes in wood structure that can influence mechanical performance. This s...
M. Kvietková, O. Dvořák, Chia-Feng Lin et al.· Forests· 0 citations
This study examined the influence of hot-air drying temperature on the moisture ratio (MR), drying rate (DR), effective moisture diffusivity (Deff), color characteristics (L, a, b, C, and ΔE), and hardness (N) of purple carrot slices. A clear temperature-dependent response was observed for both the drying behavior and...
Muhammed Taşova, Samet Kaya Dursun· Gazi Osman Paşa Üniversitesi...· 0 citations
The effects of different drying modes on moisture distribution and cutting power was investigated for beech wood (Fagus sylvatica L.) from northern Poland. Samples (70 mm × 1000 mm) were subjected to air-drying (25 °C) and gas-steam drying (at 90 °C and 105 °C). Moisture content was measured across the cross-section, a...
J. Barański, A. Suchta, Tatiana Vilkovská et al.· BioResources· 1 citation
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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