A Conceptual Framework for AI-based Operational Digital Twin in Chemical Process Engineering

Örs, Evrim; Schmidt, R.J.; Mighani, Moein; Shalaby, M.Sh.

doi:10.1109/ice/itmc49519.2020.9198575

Cited by 24 publications

(8 citation statements)

References 33 publications

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“…These capabilities of ODT enable us to answer the emerging needs of the industry. [10] Following are some features of ODT in the process industry: a) Flexible operation-the DTs can proactively adapt according to the requirements of the systems. b) Eco-friendly environment-through DTs, we can create strategies that help reduce the industry's carbon footprints.…”

Section: ) Digital Twin Application In Process Industrymentioning

confidence: 99%

Industry 4.0 and Chemical Industry: The Technology Enablers behind Strategic Growth of Chemical Companies

Kolhe¹,

Panicker²,

Mhatre³

et al. 2023

IJRASET

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Industry 4.0, also known as the fourth industrial revolution, focuses on various digital transformations within manufacturing units that help them improve their connections and networks, leading to better product evaluation according to the diversified and changing market. Connections are at the heart of the golden age: the link between a company and its related departments, people and products, and global relationships between consumers, suppliers, and producers. All stakeholders must communicate effectively and agree on best practices to ensure smooth daily operations and prompt problem resolutions to maximise the power and potential of such connections. Inculcating and reviewing the applications of Industry 4.0 aspects in a Chemical Industry is the subject of this paper. The paper would assist enterprises in understanding how digitalisation will help them increase production efficiency and integrate their business. It also explains the various enabling technologies under Industry 4.0 that help capture process data from industrial devices, connectivity for data captured, and business intelligence tools to convert that data into impact. This paper also emphasises the challenges associated with promoting Industry 4.0. Methodologies for putting the fourth revolution strategy into action in the chemical industry would be efficiently carried out as a result of this.

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Section: ) Digital Twin Application In Process Industrymentioning

confidence: 99%

Industry 4.0 and Chemical Industry: The Technology Enablers behind Strategic Growth of Chemical Companies

Kolhe¹,

Panicker²,

Mhatre³

et al. 2023

IJRASET

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“… Örs et al (2020) proposed operational digital twin (DT) for chemical processes, aiming at data management, processing detection, processing modeling, processing optimization, production scheduling, and advanced processing control. A system based on DT was proposed to regulate the processing.…”

Section: Digital Intelligent Research and Industrial Transformation O...mentioning

confidence: 99%

Application of digital-intelligence technology in the processing of Chinese materia medica

Zhang,

Cao

et al. 2023

Front. Pharmacol.

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Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is the core of Chinese unique traditional pharmaceutical technology. The processing includes the preparation steps such as cleansing, cutting and stir-frying, to make certain impacts on the quality and efficacy of Chinese botanical drugs. The rapid development of new computer digital technologies, such as big data analysis, Internet of Things (IoT), blockchain and cloud computing artificial intelligence, has promoted the rapid development of traditional pharmaceutical manufacturing industry with digitalization and intellectualization. In this review, the application of digital intelligence technology in the PCMM was analyzed and discussed, which hopefully promoted the standardization of the process and secured the quality of botanical drugs decoction pieces. Through the intellectualization and the digitization of production, safety and effectiveness of clinical use of traditional Chinese medicine (TCM) decoction pieces were ensured. This review also provided a theoretical basis for further technical upgrading and high-quality development of TCM industry.

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“…Increasing scientific contributions were shown in the petrochemical industry for production control [8] [9], and bioprocess manufacturing plant [10]. A study define a generic framework of an Operational Digital Twin (ODT) for the field of chemical process engineering [11]. DT have not yet been directly applied in the chemical flow process with the main research goals to model and predict a chemical flow process in order to optimize the reaction output.…”

Section: Digital Twin Overviewmentioning

confidence: 99%

Machine Learning Informed Digital Twin for Chemical Flow Processes

Nasruddin,

Islam,

Oyekan

2023

Advances in Transdisciplinary Engineering

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Digital Twin (DT) is a virtual representation that is parameterized based on the real process data to model, simulate, monitor, analyze, and optimize the physical systems they represent. DT have been predominantly used in the mechanical engineering field and have yet to be extensively used in chemical flow processes particularly for the challenge of scale-up which is very important particularly when moving from lab experiment to industrial scales. It is a challenge to maintain various process parameters while increasing the scale of reactors geometry. The parameters might not show a predictable linear co-relationship due to concurrent chemical conversion processes behaving differently on different scale. We apply and compare various machine learning methodologies such as Radial Basis Function Neural Networks, Gaussian Process Regression and Polynomial Regression to the development of chemical flow process DT for scale-up. We show that these methodologies can be used to predict the product yield of a chemical flow process during scale-up.

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A Conceptual Framework for AI-based Operational Digital Twin in Chemical Process Engineering

Cited by 24 publications

References 33 publications

Industry 4.0 and Chemical Industry: The Technology Enablers behind Strategic Growth of Chemical Companies

Industry 4.0 and Chemical Industry: The Technology Enablers behind Strategic Growth of Chemical Companies

Application of digital-intelligence technology in the processing of Chinese materia medica

Machine Learning Informed Digital Twin for Chemical Flow Processes

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