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《工程(英文)》 >> 2019年 第5卷 第6期 doi: 10.1016/j.eng.2019.02.014

配方产品的智能流程制造

a Department of Chemical and Biological Engineering, University of Sheffield, Sheffield S10 2TN, UK
b Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, London WC1E 6BT, UK

收稿日期: 2018-11-11 修回日期: 2019-01-25 录用日期: 2019-02-12 发布日期: 2019-11-07

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摘要

文中概述了配方产品智能制造的挑战,这些产品通常是多组分、结构化和多相的。这些挑战主要存在于食品、制药、农用和专用化学品、能源储存和含能材料以及消费品行业,并且由快速变化的客户需求以及在某些情况下严格的监管框架所推动。本文论述了智能制造方面的进展,即数字化及使用含有预测模型和求解算法的大型数据集。虽然已经取得了一些进展,但仍然迫切需要对现实问题进行更多基于模型的工具演示,以证明其优势并突出系统性缺陷。

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