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Bubeck, Wolfgang

Wolfgang Bubeck

M.Sc.

Research Assistant "Real-time communication and control hardware"
Institute for Control Engineering of Machine Tools and Manufacturing Units

Contact

+49 711 685 82409
+49 711 685 72409
Email

Seidenstr. 36
70174 Stuttgart
Germany
Room: 5.088

Office Hours

By arrangement.

Publications

Publications:

2022
1. Bubeck, Wolfgang ; Frick, Florian ; Verl, Alexander: Hardware-Accelerated Data Processing of Capacitive Sensor Arrays for Industrial and Service Robotic Applications. In: ISR Europe, ISR Europe. Bd. 54 (2022), S. 174–179 — ISBN 978-3-8007-5891-3
  - BibTeX
  - Link
  BibTeX
  @article{noauthororeditor, abstract = {To ensure a safe environment for human-machine interaction through signal processing and to process big data from intelligent production systems, increasingly powerful computational hardware is required. Central Processing Unit (CPU) based systems are reaching their load limits when processing large amounts of data. This paper presents a hardware-software architecture for Field Programmable Gate Array (FPGA) based platforms for high-frequency data evaluation using capacitive sensor arrays as an example. The architecture includes on the one hand a concept for hardware-acceler-ated sensor data processing and on the other hand the methodology for reading out capacitive sensor arrays. The focus is on simple and easily scalable electronics as well as a dynamic data processing module that can execute and deterministically process complex algorithms with large amount of data based on flexible rules using hardware acceleration. The presented concept was implemented on a FPGA based hardware platform. This allowed the signal processing of 100 sensor values with a resolution of 32 Bit each by 3 pipelined rules, a second order IIR-filter, a 10-times linear interpolation and an averaging algorithm at a task cycle of 1kHz. For the capacitance measurement validation, a custom developed Printed Circuit Board (PCB) with 6 channels is connected to the FPGA platform. It was shown to be capable of a robust and deterministic capacitance measurement at intervals of 1ms with capacitance values from Femto- to Nanofarad. Due to its easy scalability, the method can be used, for example, to completely cover a robotic arm similar to human skin, fully evaluate its measurement signals and therefore increases Human Machine Interaction (HMI).}, author = {Bubeck, Wolfgang and Frick, Florian and Verl, Alexander}, booktitle = {ISR Europe}, eventdate = {June 20 - 21 2022}, isbn = {978-3-8007-5891-3}, pages = {174-179}, title = {Hardware-Accelerated Data Processing of Capacitive Sensor Arrays for Industrial and Service Robotic Applications}, url = {https://ieeexplore.ieee.org/document/9861814}, volume = 54, year = 2022 }
  Link
  https://ieeexplore.ieee.org/document/9861814
2021
1. Reiff, Colin ; Bubeck, Wolfgang ; Krawczyk, Daniel ; Steeb, Maximilian ; Lechler, Armin ; Verl, Alexander: Learning Feedforward Control for Laser Powder Bed Fusion. In: Procedia CIRP, Procedia CIRP. Bd. 96 (2021), S. 127–132. — 8th CIRP Global Web Conference
  - BibTeX
  - Link
  BibTeX
  @article{noauthororeditor, abstract = {Additive manufacturing is becoming increasingly important for industrial applications. Especially laser powder bed fusion processes play a decisive role. However, the technology often lacks in reliability and part quality due to complex process interactions and disturbing influences. To counteract these limitations, a flexible and high-dynamic control of relevant process parameters, taking into account the transient process conditions, is indispensable. Currently, the most process parameters are often kept constant, since the used control systems do not offer real-time capable interfaces for intervention. To enable the adjustment of parameters during the process, an open control architecture for galvanometer scanners and laser sources was developed. The architecture is based on an industrial control system in combination with a field-programmable gate array (FPGA) communicating via a real-time fieldbus. The novel control architecture is used to integrate a model-based feedforward control, adjusting the laser power, scan speed and scan strategy based on the current powder bed temperature calculated by a two-dimensional thermal model during run time. An integrated learning algorithm autonomously tunes the process parameters during the manufacturing process and determines the optimal combination of laser power, scan speed and powder bed temperature to achieve a homogeneous melt pool. On average, the standard deviation of the powder bed temperature along the scan path was reduced by 48% for the simulated test cases.}, author = {Reiff, Colin and Bubeck, Wolfgang and Krawczyk, Daniel and Steeb, Maximilian and Lechler, Armin and Verl, Alexander}, doi = {https://doi.org/10.1016/j.procir.2021.01.064}, journal = {Procedia CIRP}, note = {8th CIRP Global Web Conference}, pages = {127-132}, title = {Learning Feedforward Control for Laser Powder Bed Fusion}, url = {https://www.sciencedirect.com/science/article/pii/S2212827121000883}, volume = 96, year = 2021 }
  Link
  https://www.sciencedirect.com/science/article/pii/S2212827121000883
2019
1. Wulle, Frederik ; Bubeck, Wolfgang ; Elser, Anja ; Wolf, Martin ; Verl, Alexander: Trajektorienplanung mittels modellprädiktiver Vorsteuerung eines FDM-Druckkopfes. In: 26. Stuttgarter Kunststoffkolloquium, 26. Stuttgarter Kunststoffkolloquium : IKT, Universität Stuttgart, 2019 — ISBN 978-3-9818681-1-1, S. 83–88
  - BibTeX
  BibTeX
  @conference{wulle2019trajektorienplanung, abstract = {Das dynamische Verhalten von Kunststoffextrudern wird in der Trajektorienplanung bei der Additiven Fertigung kaum berücksichtigt. Dies verursacht Prozess- und Bauteilqualitätsminderungen, die vor allem in den Anfahr- und Endphasen beim Ablegen von Raupen sichtbar werden. Durch eine modellprädiktive Vorsteuerung auf Basis einer Dynamikmodellierung des Kunstoffes im Extruder kann der Volumenstrom jedoch geregelt werden. Diese Trajektorienplanung läuft auf der CNC in Echtzeit und beeinflusst zusätzlich die Trajektorie des Druckkopfs. Anhand eines Beispiels wird ein Lösungsvorschlag für eine Modellierung und Implementierung erläutert.}, author = {Wulle, Frederik and Bubeck, Wolfgang and Elser, Anja and Wolf, Martin and Verl, Alexander}, booktitle = {26. Stuttgarter Kunststoffkolloquium}, eventdate = {28.03.2019}, isbn = {978-3-9818681-1-1}, language = {deutsch}, month = {03}, pages = {83-88}, publisher = {IKT, Universität Stuttgart}, title = {Trajektorienplanung mittels modellprädiktiver Vorsteuerung eines FDM-Druckkopfes}, venue = {Stuttgart}, year = 2019 }

Teaching

Supervision of bachelor, study and master theses.

Wolfgang Bubeck

Contact

Office Hours

Publications

2022

BibTeX

Link

2021

BibTeX

Link

2019

BibTeX

Teaching

Audience

Formalities

Services

Organization

Wolfgang Bubeck

Contact

Office Hours

Publications

2022

BibTeX

Link

2021

BibTeX

Link

2019

BibTeX

Teaching

Here you can reach the ISW

Audience

Formalities

Services

Organization