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作 者:杨化宇 刘东红[3] 廖小军[4] 范大明 Yang Huayu;Liu Donghong;Liao Xiaojun;Fan Daming(State Key Laboratory of Food Science and Resources,Jiangnan University,Wuxi 214122,Jiangsu;School of Food Science and Technology,Jiangnan University,Wuxi 214122,Jiangsu;School of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310058;School of Food Science and Nutritional Engineering,China Agricultural University,Beijing 100083)
机构地区:[1]江南大学食品科学与资源挖掘全国重点实验室,江苏无锡214122 [2]江南大学食品学院,江苏无锡214122 [3]浙江大学生物系统工程与食品科学学院,杭州310058 [4]中国农业大学食品科学与营养工程学院,北京100083
出 处:《中国食品学报》2024年第5期126-137,共12页Journal of Chinese Institute Of Food Science and Technology
基 金:国家自然科学基金杰出青年科学基金项目(32225040);“十四五”国家重点研发计划项目(2023YFD2100800)。
摘 要:食品加工环节的低碳转型升级,是实现食品产业“双碳”目标战略的核心动能。本文聚焦真实场景加工过程,重点探究多物理场下食品组分的能量吸收及结构响应,解析复杂食品体系中多组分互作机制。通过构建的多物理场耦合模型,结合人工智能决策方法设计,阐明热、力、声、电磁和压力场等场分布的时/空间累积规律,提出食品加工过程强化建议与单元替代策略,为提高装备可靠性、加工精准性及工艺流程的智能化控制提供理论依据。The low-carbon transition and upgrade of food processing stages are pivotal to achieving the strategic'dual-carbon'targets in the food industry.Focusing on real scenarios within the processing chain,it is critical to investigate the energy absorption and structural response of food components under the influence of multiple physical fields.This study involved in exploring the mechanisms of interaction between various components in complex food systems.By constructing multiphysics coupling models and integrating artificial intelligence-driven decision-making techniques,the spatiotemporal accumulation patterns of thermal,mechanical,acoustic,electromagnetic,and pressure fields could be elucidated.These approaches laid the foundation for suggestions to intensify processing methods and strategies for unit substitution,thereby providing a theoretical framework to enhance the reliability of equipment,precision in processing,and the intelligent control of technological workflows.
分 类 号:TS205[轻工技术与工程—食品科学]
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