Subprojects

Seven scientific subprojects along one process chain, from experiments and simulation to learned models, optimisation and control, and one project that coordinates them.

Across all stages

F Maturity and knowledge Maturity measures and a knowledge graph of the process data

  1. Process chain

    T1 Construction kit The demonstrator process and its experiments

  2. Data acquisition

    T2 Physics-based simulation Forming simulations of the demonstrator process M1 Over-instrumentation Which sensors to add, and which to remove

  3. Learned simulation

    M2 Learned process models Fast process models, learned from these data

  4. Optimisation and control

    M3 Exploration and optimisation Process settings, optimised between trials M4 Estimation and control State estimation and control during a trial

  1. T1 Build

    Construction Kit and Building Blocks for the Fast Improvement of Immature Processes

    T1 builds the physical process from modular blocks, so it can be changed and instrumented quickly, and develops a digital twin of it.

    Jürgen Fleischer, Frank Henning

  2. T2 Simulate

    Physics-based Process Evaluation and Decision Support for Structural Process Improvement

    T2 builds validated simulations of the process that supply data sensors cannot measure and test changes before they are built.

    Luise Kärger, Frank Henning, Jürgen Fleischer

  3. M1 Sense

    Systematic Over-Instrumentation

    M1 decides which sensors and actuators to add while a process is immature, and which to remove once it matures.

    Jürgen Beyerer, Frank Henning

  4. M2 Learn

    Learning of Dynamical Process Models Based on Data and Expert Knowledge

    M2 learns fast simulators of the forming process from simulation and sensor data, and adapts them to new material properties from a few examples.

    Gerhard Neumann, Luise Kärger, Uwe D. Hanebeck, Julius Pfrommer

  5. M3 Optimise

    State- and Parameter-Space Exploration and Process Optimisation

    M3 finds good process settings with as few trials as possible, using what can be observed between process stages.

    Julius Pfrommer, Uwe D. Hanebeck, Gerhard Neumann

  6. M4 Control

    Efficient and Accurate State Estimation and Feedback Control under Uncertainties

    M4 estimates the hidden state of the running process and steers it, although it is observed only partly and with noise.

    Uwe D. Hanebeck, Gerhard Neumann

  7. F Measure

    Management and Quantification of Maturity Improvement

    F defines measures of process maturity and records the demonstrator's data and their provenance in a knowledge graph.

    Tobias Käfer, Jürgen Beyerer, Julius Pfrommer

  8. C Coordinate

    Coordination, Central Support and Infrastructure

    C coordinates the Research Unit, organises joint events and supports early-career researchers.

    Jürgen Beyerer