智能制造启发了对电气化化学制造系统的研究,开发和扩展的方法
Derek Richard1, Joonbaek Jang1, Berkay Çıtmacı1
1Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
iScience
|June 28, 2023
概括
加快电化学合成规模扩大需要数字化和人工智能 (AI). 这种以智能制造 (SM) 为灵感的方法,可以快速解释数据,以有效开发电气化工艺,如二氧化碳电解器.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 电化学 电化学 电化学
- 材料科学 材料科学 材料科学
背景情况:
- 可再生电力的成本竞争力推动了对电气化化学合成的兴趣.
- 由于控制动力学,电荷,热量和质量传输方面的挑战,提高电化学系统的规模是缓慢的.
- 传统的研究依赖于小的数据集,阻碍了快速的进展.
研究的目的:
- 介绍一种新兴的研究方法,以加速电气化化学制造业的扩大规模.
- 为了证明这种方法在开发二氧化碳电解器中的应用.
主要方法:
- 利用数字化来快速收集和解释大型,参数化数据集.
- 使用人工智能 (AI) 和多尺度建模.
- 采用智能制造 (SM) 的原则来开发工艺.
主要成果:
- 拟议的方法有助于有效地解和控制内在动力学和运输现象.
- 在二氧化碳电解器的开发中证明了价值,展示了加速的研发.
- 突出了电化学合成更快商业化的潜力.
结论:
- 转向以智能制造为灵感的数据驱动,人工智能驱动的研究对电化学系统至关重要.
- 这种方法显著加速了电气化化学制造的研究,开发和扩展.
- 能够克服电化学技术商业化中的传统瓶.
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