MTMarina Terlau

Marina Terlau

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Marina Terlau has a total of 12 co-authors. Here are the top co-authors by number of shared publications:

  • Andreas Fischer

    University of Bremen, Bremen Institute for Metrology, Automation and Quality Science (BIMAQ), Bremen, Germany

    6 shared publications
  • Axel von Freyberg

    University of Bremen, Bremen Institute for Metrology, Automation and Quality Science (BIMAQ), Bremen, Germany

    5 shared publications
  • Dirk Stöbener

    Bremen Institute for Metrology, Automation and Quality Science, University of Bremen, Linzer Str. 13, 28359 Bremen, Germany

    3 shared publications
  • A. Fischer

    Institute for Metrology, Automation and Quality Science (BIMAQ) University of Bremen Linzer Str. 13 28359 Bremen Bremen Germany

    1 shared publication
  • A. von Freyberg

    Institute for Metrology, Automation and Quality Science (BIMAQ) University of Bremen Linzer Str. 13 28359 Bremen Bremen Germany

    1 shared publication
  • Andreas Fischer

    University of Bremen, Bremen Institute for Metrology, Automation and Quality Science, Linzer Straße 13, 28359 Bremen, Germany

    1 shared publication

Latest Publications

  • Open Access

    In-process analysis of the dynamic deformation of a bionic lightweight gear

    by Philipp Thomaneck, Marina Terlau, Ronald Eberl, Axel von Freyberg, Andreas Fischer


  • Open Access

    Tool pose measurement using shadow imaging sensors

    by Marina Terlau, Axel von Freyberg, Andreas Fischer

    Due to the high positioning uncertainty and low stiffness of robots, significant geometrical deviations occur in robotic incremental sheet forming (ISF) which requires an optical in-process tool pose measurement. To achieve a measuring uncertainty of less than 50 $$\upmu $$ μ m for the position components and less than 0.05 $$^\circ $$ ∘ for the orientation components in the machining volume, a multi-sensor system based on shadow imaging sensors is proposed. To calculate the six-degree-of-freedom tool pose, the sensor system measures the positions of three LEDs attached to the tool. The LEDs emit light with different colors, and the associated shadows are separately detected by using color filters. In addition, each sensor consists of a shadow-casting mask and a monochrome camera. Experimental results show that the systematic error dominates the measurement uncertainty budget and needs to be calibrated, while the random error is one order of magnitude smaller than the required measuring uncertainty. Furthermore, the color filters reduce the cross-sensitivities between the signals to an acceptable level. Final experiments on a robot demonstrate plausible pose measurements indicating the feasibility to apply the multi-sensor system in robotic ISF.


  • Open Access

    In-process tool pose measurement in incremental sheet forming

    by Marina Terlau, Axel VON Freyberg, Andreas Fischer

    -In-process tool pose measurement in incremental sheet forming TERLAU Marina, VON FREYBERG Axel, FISCHER Andreas [button link="https://www.mrforum.com/wp-co

  • Open Access

    Optical tool deflection measurement approach using shadow imaging

    by Marina Terlau, Axel von Freyberg, Dirk Stöbener, Andreas Fischer


  • Open Access

    Shadow-Imaging-Based Triangulation Approach for Tool Deflection Measurement

    by Marina Terlau, Axel von Freyberg, Dirk Stöbener, Andreas Fischer

    As incrementally formed sheets show large geometric deviations resulting from the deflection of the forming tool, an in-process measurement of the tool tip position is required. In order to cover a measuring volume of 2.0 m × 1.0 m × 0.2 m and to achieve measuring uncertainties of less than 50 µm, a multi-sensor system based on triangulation is realized. Each shadow imaging sensor in the multi-sensor system evaluates the direction vector to an LED attached to the tool, and the three-dimensional position of the LED is then determined from the combination of two sensors. Experimental results show that the angle of view from the sensor to the LED limits both the measurement range and the measurement uncertainty. The measurement uncertainty is dominated by systematic deviations, but these can be compensated, so that the measurement uncertainty required for measuring the tool tip position in the ISF is achieved.


  • Open Access

    Optische Messung der Werkzeugablenkung in der inkrementellen Blechumformung

    by Axel von Freyberg, Marina Terlau, Dirk Stöbener, Andreas Fischer

    Zusammenfassung: Zum Umformen großer Bleche in kleinen Stückzahlen stellt die inkrementelle Blechumformung eine wirtschaftliche Alternative zum Tiefziehen dar. Auftretende Werkzeugablenkungen führen jedoch zu erhöhten Formabweichungen. Mit einer von der Maschinenkinematik unabhängigen In-Prozess-Messung der Werkzeugablenkung könnten diese kompensiert und somit die geometrischen Abweichungen minimiert werden. Deshalb wird ein optisches Multi-Sensorsystem konzipiert, um eine berührungslose Messung der Werkzeugposition mit der geforderten Messunsicherheit von 15 µm in einem Messabstand bis 2 m zu ermöglichen. Das Sensorsystemkonzept sieht eine Vielzahl preiswerter Sensoren vor, die jeweils einen Winkel zu einer Punktlichtquelle am Werkzeug erfassen. Basierend auf den gemessenen Winkeln aller zueinander kalibrierten Sensoren lässt sich die Position des Werkzeugs im dreidimensionalen Fertigungsvolumen per Multiangulation berechnen. Die mit dem Gesamtsystem erreichbare Messunsicherheit wurde mittels einer experimentellen Charakterisierung eines realisierten Angulationssensors sowie einer Unsicherheitsfortpflanzung abgeschätzt. Im Ergebnis erfüllt das Multi-Sensorkonzept sämtliche Anforderungen an die In-Prozess-Messung der Werkzeugablenkung bei der inkrementellen Blechumformung.


  • Open Access

    P22 - Validation of an Inside Sensor System for Deformation Measurements on Bionic Lightweight Gears

    by M. Terlau, M. Pillarz, A. von Freyberg, A. Fischer

    To validate design guidelines of bionic, holistic lightweight gears with integrated load monitoring, an inside sensor system will be used to continuously record the deformation behavior under dynamic load. Strain gauges based on thin-film technology and metal substrate are used as sensors for this purpose. Measurements on a gear show that, during the entire tooth meshing, the deformation behavior of each tooth can continuously be measured with the implemented inside sensor system and that the various tooth meshing zones can also be detected.

  • Open Access

    Active Thermography for the Detection of Sub-Surface Defects on a Curved and Coated GFRP-Structure

    by Friederike Jensen, Marina Terlau, Michael Sorg, Andreas Fischer

    Initial defects, for example, those occurring during the production of a rotor blade, encourage early damages such as rain erosion at the leading edge of wind turbine rotor blades. To investigate the potential that initial defects have for early damage, long-pulse thermography as a non-destructive and contactless measurement technique is applied to a strongly curved and coated test specimen for the first time. This specimen is similar in structural size and design to a rotor blade leading edge and introduced with sub-surface defects whose diameters range between 2mm and 3.5mm at depths between 1.5mm and 2.5mm below the surface. On the curved and coated test specimen, sub-surface defects with a depth-to-diameter ratio of up to 1.04 are successfully detected. In particular, defects are also detectable when being observed from a non-perpendicular viewing angle, where the intensity of the defects decreases with increasing viewing angle due to the strong surface curvature. In conclusion, long-pulse thermography is suitable for the detection of sub-surface defects on coated and curved components and is therefore a promising technique for the on-site application during inspection of rotor blade leading edges.