Development of Predictive Equations for Thermal Conductivity of Compost Bedding
Source abstract
Abstract
Among animal facilities, compost-bedded pack (CBP) barns have attracted a lot of attention from milk producers and the scientific community. Systematic investigation of the main thermal properties utilizing sawdust in CBP barns is of environmental and economic relevance. In this paper, the aim was to (a) develop predictive equations for the thermal conductivity (k) of compost bedding as a function of moisture content (MC), the degree of compaction (DCo), and particle size (PS); and (b) investigate the links between k and depth within bedding material. Samples of compost bedding materials were collected from 42 commercial CBP barns distributed throughout Kentucky (USA). From these predictive equations, it was possible to understand how the MC, DCo, and PS of the bedding materials may influence the behavior of k. These results are very useful for solving obstacles to simulate and predict the variable outcomes of the compost bedding materials process in CBP barns, allowing for its optimization, consequently reducing the time and energy spent on their optimization and allowing for simulation and assessment of compost bedding process modifications. The results of the current study may have important implications in the design and management of bedded pack barns.
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Research context
OpenAlex topics: Soil Mechanics and Vehicle Dynamics · Natural Fiber Reinforced Composites · Mechanical and Thermal Properties Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Engineering, Federal University of Lavras, Lavras 37200-000, Brazil
Department of Agricultural Engineering, University of Kentucky, Lexington, KY 40502, USA
Division of Agriculture and Natural Resources, University of California, Davis, CA 95403, USA
Holstein Association USA, Brattleboro, VT 05302, USA
Department of Agricultural Engineering, Federal University of Viçosa, Viçosa 36570-900, Brazil
Department of Agriculture, Food, Environment and Forestry, University of Firenze, 50145 Firenze, Italy
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