Advanced manufacturing and processing in the time of COVID-19

Matthew Realff, Jan Lerou, Michael Rinker
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引用次数: 0

Abstract

The COVID-19 pandemic has exposed fragilities and reinforced the resiliency of different elements of our manufacturing and processing systems. Food processing, in particular meat packing, currently a very labor-intensive operation, experienced significant disruption and the car industry implemented shutdowns which will ripple through supply chains in the coming months. It became clear that packaging supply chains are bottlenecks as producers tried to divert food stuffs from restaurants to consumer stores, and shifts in demand for paper products caused persistent consumer outages. The basic chemicals and fuels industry did not see significant disruption, but wild price fluctuations did occur as reduced demands and an unfortunately timed production increase caused available storage capacity to be strained. Recycling industries saw, and will continue to experience, both ends of the disruption as their consuming industries reduced demand and their providers stockpiled material or diverted it to trash. The beverage industry has significant inventory in public venues that has expired. Boutique level hand sanitizer production has resulted as these beverage production systems have been reconfigured and the rules surrounding the grade of alcohol relaxed.[1]

We are sure there are many of you who have worked long hours to innovate your manufacturing and processing systems to cope with the challenges of COVID-19 and we would welcome articles and commentaries on how advanced manufacturing can play a role in our collective response. In this issue of JAMP we share a commentary on the rapid manufacturing of vaccines as our contribution to understanding how our community might respond to COVID-19,[2] and we would like to encourage you to consider other ways in which our manufacturing systems will change in response to the pandemic. However, much as there is a need to address the short-term disruptions caused by a pandemic, and to understand how research can respond to create advanced manufacturing and processing systems with flexibility and resilience in the future, we also need to continue to push forward with efforts that provide new foundations for those features and we have curated articles that we hope fulfill that goal.

Process intensification remains a key approach to advanced manufacturing enabling more nimble and responsive systems. This issue provides two examples tackling a variety of processes: the epoxidation of vegetable oils and the manufacturing of butyl acrylate.

Rahim et al.[3] show that by using a mesoscale oscillating baffled reactor the process can be converted from a batch operation to a continuous one and in the process they estimate that the new reactor is approximately 144 times smaller than the batch reactor operating at the same production rate.

The Simulated Moving Bed Reactor (SMBR) technology has been an example for process intensification for a couple of decades. Constantino et al.[4] have combined this technology with membrane pervaporation creating a Simulated Moving Bed Membrane Reactor which reduces the number of operation sections for the manufacturing of butyl acrylate while reducing the eluent consumption and improving the productivity. A complete analysis of all process metrics is given in this paper.

The use of Artificial Intelligence (AI) in the chemical process industry is being used in new ways that are challenging the way this industry should consider the adoption and deployment of Industry 4.0 that has become ubiquitous in other business sectors. Colegrove[5] discusses the importance of protecting data as critical intellectual capital and how many in the AI vendor community do not understand the value of data to the process industry. The commentary offers insight on the need for chemical engineers and data scientists to work closely together to solve technical and operational problems that require analysis of data that is broader than process data and where fundamental models break down. This commentary takes on additional importance for resiliency in light of the social and economic impact of COVID-19.

新型冠状病毒肺炎时代的先进制造加工
2019冠状病毒病大流行暴露了我们制造和加工系统中不同要素的脆弱性,并增强了它们的弹性。食品加工,特别是肉类包装,目前是一个非常劳动密集型的操作,经历了严重的中断,汽车行业实施停工,这将在未来几个月波及供应链。很明显,包装供应链是瓶颈,因为生产商试图将食品从餐馆转移到消费者商店,而纸制品需求的变化导致消费者持续停电。基本化学品和燃料行业没有出现重大中断,但由于需求减少和不幸的时间生产增加导致可用存储能力紧张,价格确实出现了剧烈波动。回收行业看到了,并将继续经历破坏的两端,因为他们的消费行业减少了需求,他们的供应商囤积材料或将其转移到垃圾中。饮料行业在公共场所有大量已经过期的库存。随着这些饮料生产系统的重新配置和围绕酒精等级的规则的放松,精品级洗手液的生产已经产生。我们相信,你们中有许多人长时间工作,创新制造和加工系统,以应对2019冠状病毒病的挑战,我们欢迎有关先进制造业如何在我们的集体应对中发挥作用的文章和评论。在本期《JAMP》中,我们分享了一篇关于快速生产疫苗的评论,作为我们对了解我们的社区如何应对COVID-19的贡献,我们希望鼓励您考虑我们的生产系统将以其他方式改变以应对大流行。然而,正如有必要解决大流行造成的短期中断,并了解研究如何应对未来具有灵活性和弹性的先进制造和加工系统一样,我们也需要继续努力为这些功能提供新的基础,我们已经策划了一些文章,希望能够实现这一目标。过程强化仍然是实现更灵活和响应更快的系统的先进制造的关键方法。本期提供了两个解决各种工艺的例子:植物油的环氧化和丙烯酸丁酯的制造。Rahim等人表明,通过使用中尺度振荡折流板反应器,该过程可以从间歇操作转换为连续操作,并且在该过程中,他们估计新反应器比在相同生产速率下运行的间歇反应器大约小144倍。模拟移动床反应器(SMBR)技术几十年来一直是过程强化的一个例子。Constantino等人将该技术与膜渗透蒸发相结合,创造了一个模拟移动床膜反应器,减少了生产丙烯酸丁酯的操作段数量,同时减少了洗脱液的消耗,提高了生产率。本文对所有工艺指标进行了完整的分析。人工智能(AI)在化学过程工业中的应用正在以新的方式进行,这对该行业应该考虑采用和部署工业4.0的方式提出了挑战,而工业4.0在其他业务领域已经无处不在。Colegrove[5]讨论了保护数据作为关键智力资本的重要性,以及人工智能供应商社区中有多少人不了解数据对流程工业的价值。该评论提供了对化学工程师和数据科学家密切合作的需求的见解,以解决技术和操作问题,这些问题需要分析比过程数据更广泛的数据,以及基本模型失效的地方。鉴于2019冠状病毒病的社会和经济影响,本评论对增强韧性更加重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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