Christian Möbitz
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View article: Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models
Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models Open
Modeling and control of industrial processes are essential for product quality, energy efficiency, and operational stability. With growing sensor availability and computational power, machine learning (ML) has emerged as a powerful tool. H…
View article: Integrating Machine Learning and Sustainability in Nonwoven Production: A Case Study Using the FOREST Framework
Integrating Machine Learning and Sustainability in Nonwoven Production: A Case Study Using the FOREST Framework Open
The environmental impact of industrial processes, especially regarding CO2 emissions, requires innovative tools to monitor and optimize resource consumption. This study presents a data-driven approach for a carded nonwoven production line,…
View article: Digital Transformation in the Paper Industry: Assessing Maturity, Challenges, and Opportunities
Digital Transformation in the Paper Industry: Assessing Maturity, Challenges, and Opportunities Open
The paper industry is undergoing a critical phase of digital transformation, driven by the need for increased efficiency and sustainability. This study offers an initial insight into the industry’s digitalisation status based on a survey c…
View article: A Sovereign and Interoperable Data Ecosystem for an Eco-Efficient Nonwovens Industry
A Sovereign and Interoperable Data Ecosystem for an Eco-Efficient Nonwovens Industry Open
This study addresses the need for enhanced sustainability in the nonwovens industry by developing a data ecosystem that improves data transparency, interoperability, and decision-making across the value chain. The research focuses on two c…
View article: Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation Open
View article: P081_0732_ NOVEL PERSPECTIVES IN USE OF RECYCLED CARBON FIBRES – HEATING, SHIELDING AND MAINTENANCE
P081_0732_ NOVEL PERSPECTIVES IN USE OF RECYCLED CARBON FIBRES – HEATING, SHIELDING AND MAINTENANCE Open
The demand for carbon fibres is driven by the trends of electro mobility, energy efficiency (lightweight construction) and high-performance materials. The global demand for carbon fibres in 2017 was about 74,000 t/a. By 2022, the demand wi…