Research projects
4D.TWO® and 4D.watcher
Current research projects
The development and application of our 4D.TWO® (hardware) and 4D.watcher (software) are promoted within the scope of the following projects.
Digital process online optimizer for smart laser machines (BmBF, reference number: 02P20A006, 07-01-2021 – 06-30-2024)
Project objective
Automatic and robust monitoring, quality assurance and optimization of laser cutting and laser welding by using artificial intelligence
Tasks for 4D
Development of a process flexible, multi-sensory process monitoring system | Development of an AI-capable data structure
Partners
FHG ILT, LBBZ, Dreher, Marx, Precitec, KIT – IIIT
Digital remote assistant for status analysis and online error correction of laser material machining processes (BmBF, reference number: 13N15348, 08-01-2021 – 07-31-2024)
Project objective
Combination of different sensor concepts (such as photo diode-based systems, videography) for AI-based monitoring of laser welding processes and visualization in laser remote assistants
Tasks for 4D
Development of interfaces for communication with external systems | Design and implementation of the evaluation strategy for multispectral sensor data | Error detection during welding of aluminum battery boxes
Partners
Oculavis, FHG ILT, Scansonic, Hema electronics, Cloos (associated)
Sensor development (AiF, reference number: KK5251401WO1, 10-01-2021 – 03-31-2024)
Project objective
Development of a joining process for sheet metal/sheet metal as well as cord connections made of aluminum and copper by means of laser beam welding for conductivity > 33 MS/m as well as for reduction of intermetallic phases
Tasks for 4D
Development of an integrated optical design of the multi-spectral sensor hardware | Development of a real time interface for the data output | Detection of errors during the welding of aluminum-copper compounds
Partners
BBW, TU Ilmenau
Joint project: Agile production systems and modular product building blocks for electrical traction motors (BmWK, reference number: 13IK003A, 11-01-2021 – 10-31-2024)
Project objective
Development and implementation of an agile, digital product and production building block for electrical traction motors
Tasks for 4D
Integration and testing of the multi-spectral sensor system for e‑mobility applications (laser-based dismantling and laser welding of hairpin stators for electric motors) | Implementation of AI-based data analysis algorithms
Partners
Schaeffler, Braun, Zeiss, FormiKa, Gehring, KIT, Koob, LTB, Steingroever, Pro Beam, Schunk, Stahl, Trumpf, Wafios
(AiF, reference number: KK5251402KL1, 09-01-2022 – 08-31-2024)
Project objective
Development of inline process monitoring of laser welding processes for contacting of battery cells based on ML algorithms with short adaptation and integrated controllers for reducing the scrap rate below 0.1%
Tasks for 4D
Development of the hardware interface for the integration of external sensors | Application tests for application cases of e‑mobility (laser welding of battery cells) | Process control based on sensor data
Partners
TU Munich – iwb
Digital end-to-end workflow for additive series production of plastic components for the automotive industry (BmWK, reference number: 13IK034B, 09-01-2023 – 06-30-2026)
Project objective
Optimization of a networked digital product creation process from construction, production preparation and actual additive manufacturing up to post-processing
Tasks for 4D
Integration of additional data sources such as scan positions into an LPBF system | Analysis of powdered raw materials | Error detection during additive manufacturing of plastic components
Partners
Leotech, John Deere, Wenzel, Nexedi, DyeMansion, Porsche, Uni Stuttgart, Fraunhofer
Project objective
Automatic and robust monitoring, quality assurance and optimization of laser cutting and laser welding by using artificial intelligence
Tasks for 4D
Development of a process flexible, multi-sensory process monitoring system | Development of an AI-capable data structure
Partners
FHG ILT, LBBZ, Dreher, Marx, Precitec, KIT – IIIT
Combination of different sensor concepts (such as photo diode-based systems, videography) for AI-based monitoring of laser welding processes and visualization in laser remote assistants
Tasks for 4D
Development of interfaces for communication with external systems | Design and implementation of the evaluation strategy for multispectral sensor data | Error detection during welding of aluminum battery boxes
Partners
Oculavis, FHG ILT, Scansonic, Hema electronics, Cloos (associated)
Development of a joining process for sheet metal/sheet metal as well as cord connections made of aluminum and copper by means of laser beam welding for conductivity > 33 MS/m as well as for reduction of intermetallic phases
Tasks for 4D
Development of an integrated optical design of the multi-spectral sensor hardware | Development of a real time interface for the data output | Detection of errors during the welding of aluminum-copper compounds
Partners
BBW, TU Ilmenau
Development and implementation of an agile, digital product and production building block for electrical traction motors
Tasks for 4D
Integration and testing of the multi-spectral sensor system for e‑mobility applications (laser-based dismantling and laser welding of hairpin stators for electric motors) | Implementation of AI-based data analysis algorithms
Partners
Schaeffler, Braun, Zeiss, FormiKa, Gehring, KIT, Koob, LTB, Steingroever, Pro Beam, Schunk, Stahl, Trumpf, Wafios
Development of inline process monitoring of laser welding processes for contacting of battery cells based on ML algorithms with short adaptation and integrated controllers for reducing the scrap rate below 0.1%
Tasks for 4D
Development of the hardware interface for the integration of external sensors | Application tests for application cases of e‑mobility (laser welding of battery cells) | Process control based on sensor data
Partners
TU Munich – iwb
Project objective
Optimization of a networked digital product creation process from construction, production preparation and actual additive manufacturing up to post-processing
Tasks for 4D
Integration of additional data sources such as scan positions into an LPBF system | Analysis of powdered raw materials | Error detection during additive manufacturing of plastic components
Partners
Leotech, John Deere, Wenzel, Nexedi, DyeMansion, Porsche, Uni Stuttgart, Fraunhofer
Contact us!
If you would like to learn more about our products and services, or would like to request a customized offer, please do not hesitate to contact us. You can contact us by phone, via email or by using our contact form. We look forward to receiving your enquiry!
Contact us!
If you would like to learn more about our products and services, or would like to request a customized offer, please do not hesitate to contact us. You can contact us by phone, via email or by using our contact form. We look forward to receiving your enquiry!