Integrated Machine, Process Analysis and Modeling of Mechatronic Production Systems
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 2237
Special Issue Editor
Special Issue Information
Dear Colleagues,
Modern production aims to be highly productive with a minimum of errors and as little wasted resources as possible. This has to be true for low volume manufacturing with frequently changing products and high complexity as well as for high volume production with only little revenue per product.
At the same time, today’s global market with its economic uncertainties requires a resilient production with quickly adjustable production capacities. A prerequisite is modular production units, which allow for immediate recombination and adjustment to new products and changes of production volume. The machines integrate communication devices as well as a large number of sensors and actuators for live monitoring and adjusting the machine state and process conditions.
Mastering the complexity of these interconnected production units necessitates digital solutions for automatic commissioning, process control, and optimization. Based on their implemented digital twin and digital information about tools, workpieces and processes, the production systems are able to react to changing input parameters such as material properties or environmental conditions. This could be particularly important for processing renewable materials with uncertain properties or reducing air conditioning of factories to save energy.
The Special Issue aims to show current research in the field of machining and forming technology, which we will find in machine tools of the next generation. We kindly ask for your contribution on the following topics:
- Digital twins of machines, tools, and workpieces and their interfaces
- Methods for virtual commissioning and digital process optimization
- Numerical and physical analysis of process-machine interaction
- Integration of robust actuators and sensors for process control, predictive maintenance and real-time error detection
- Self-optimizing machine tools and production systems
- Modular production systems for flexible production
All introduced methods and systems must demonstrate either improved productivity, product quality or flexibility on real world examples.
Porf. Dr. Steffen Ihlenfeldt
Guest Editor
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Keywords
- Digital twin
- Simulation
- Sensor integration
- Cyber physical systems
- Modular systems
- Process-machine interaction
- Uncertainties
- Adaptive process control
- Predictive maintenance
- Self-optimizing
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