The students discuss

• the application of the principles of natural structural development to technical issues.
• the application of bionics as an innovation method.
• their ability to assess innovation potentials.
• their knowledge of the embedding of bionic innovation processes in technical-technological developments.

• understand and present the basics of topology optimization (theoretical background of the simulation algorithm).
• define the boundary conditions/requirements of a component in advance through applied methods.
• create their own generative algorithms using computer software
• create their own geometries using these algorithms.
• collect real-time data and enter it into the computer software.
• define measurement systems of sensor nervous systems on the basis of applied "hardware in the loop".
• convert geometry meshes (mesh structures) into vector-controlled free-form surfaces (NURBS).

Module MBLB-HFl, Module MBLB-Ma&S, Module MBLB-LBMe

• Analysis and abstraction of natural structures in relation to dynamics, strength, structure and mechanical properties of the material and its transferability to technical applications
• Application of bionic methods to the design of innovative solutions in the field of lightweight construction and lightweight structures according to biological models
• Application of growth principles from nature to a technical question (SKO method).
• Mattheck, fundamentals of Bionic Growth Algorithms
• Introduction to Generative Design Algorithms
• Generative Simulation
• Software: (Rhinoceros Grasshopper, Altair Inspire, Autodesk Generative Design, F360)
• Design methodology for determining boundary conditions and planning of the physical measurement system
• Collection, filtering and feeding of "hardware in the loop" data into the generative design software

W. Nachtigall: Bionik Grundlagen und Beispiele für Ingenieure und Naturwissenschaftler, Springer (2002)
W. Nachtigall: Vorbild Natur. Bionik-Design für funktionelles Gestalten, Springer (1997)
Z. Cerman, W. Barthlott, J. Nieder: Erfindungen der Natur. Was wir von Pflanzen und Tieren lernen können, Rowohlt (2005)
P. Forbes: The geckos´ foot, Bio-inspiration - Engineering from Nature
Bioinspiration & Biomimetics, Fourth Estate (2005)
C. Mattheck: Die Körpersprache der Bauteile: Enzyklopädie der Formfindung nach der Natur, Karlsruher Institut für Technologie (2017)
A. Aktahkitis: Generative Design: Form-finding Techniques in Architecture (Form + Technique), ‎Laurence King Publishing (2016)
M. Müller: Generative Fertigungsverfahren. Technologie, Design, Konstruktion, Grin (2017)
Ch. Gogdell: Toward a Living Architecture? Complexism and Biology in Generative Design, University of Minnesota Press (2019)

Lecture, discussion, exercises and case studies

Integrated module examination
Immanent assessment type: participation & written final examination