A Concurrent Multiscale Model for Improved Prediction of Drying Process

用于改进干燥过程预测的并行多尺度模型

• 批准号: DP220103668
• 负责人: Prof Azharul Karim
• 金额: $ 30.91万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220103668
• 关键词: Concurrent; Multiscale; Model; Improved; Prediction

This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory will lead to more accurate prediction of drying kinetics, deformation and quality changes, and hence the development of efficient drying systems. This project will overcome a longstanding research problem and position Australia at the forefront in world drying research to reap substantial economic benefits for Australia.

该项目旨在开发一种创新的食品干燥多尺度模型，该模型集成了不同尺度的空间和时间非线性行为。所提出的统一理论将捕获动态微观特征，并通过并发桥接方案将其升级为宏观特征。由于细胞元素关键地控制着干燥过程，通过该理论获得的基本理解将导致更准确地预测干燥动力学、变形和质量变化，从而开发高效的干燥系统。该项目将克服长期存在的研究问题，使澳大利亚处于世界干燥研究的前沿，为澳大利亚带来可观的经济效益。