Bionic & Generative Design (ILV)

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Course lecturer:

Dr.

 Sylvicley Figueira da Silva

Mag. (FH)

 Thomas Saier
Course numberM2.06860.20.030
Course codeB&G DESIGN
Curriculum2024
Semester of degree program Semester 2
Mode of delivery Presencecourse
Units per week3,5
ECTS credits5,0
Language of instruction

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.

Students are able to
  • 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).


Learning outcomes of the module/skills Aim of the bionic course: The students should develop a basic understanding of the application of bionic algorithms in design and gain a deep understanding of the basic theory of bionic methods. These methods are used in the "Generative Design" lecture. The result is application examples designed by the students, which are created as manufacturable and validatable data sets using bionic growth algorithms. The students should also develop a basic understanding of the use of boundary conditions. The course includes the application of the principles of bionic structural development and the use of bionics as an innovation method. The students should gain knowledge of how bionic design processes can be embedded in technical and technological developments. The teaching method combines project-based learning with bionic design and generative design. The students are enabled to: • Define the requirements of a component in advance using applied methods. • Create geometries independently using these algorithms. • Evaluate results. • To transfer geometry meshes (lattice structures) into vector-based freeform surfaces (NURBS). • To create, prototype and evaluate manufacturable geometry.

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

Created project content (construction of a physical measuring system for hardware in the loop applications) will be implemented as part of the modul Applied Researchand coordinated with the responsible Research Group.

Teaching content of the module Created project content is implemented as part of the "Bionic Design" lecture and coordinated with the responsible lecturer. The lecture includes, among other things, the basics of bionic growth algorithms according to Mattheck, an introduction to generative design algorithms and the application of generative simulations. Autodesk Generative Design and F360 are used as 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)

Empfohlene Fachliteratur •C. Mattheck, Design in Nature - Learning from Trees, Springer- (1998) ISBN 3-540-62937-8 •C. Mattheck, The Face of Failure, Forschungszentrum Karlsruhe (2004) ISBN 3-923704-43-7 •C. Matteck, Secret Design Rules of Nature, Forschungszentrum Karlsruhe (2007) ISBN 978-3-92704-62-0 •L. Harzheim: Optimierung von Bauteilen mit der Wachstumsregel von Bäumen und Knochen. BIONA Report 16, Akad. Wiss. Lit., Mainz (2003) •H. Bubenhagen, L. Harzheim: Einsatz der Formoptimierung zur Lebensdauerverbesserung von Bauteilen. Konstruktion 50 1998 H. 11/12, 1998, 40-44 •L. Harzheim: Strukturoptimierung, Grundlagen und Anwendungen. Wissenschaftlicher Verlag Harri Deutsch GmbH, Frankfurt am Main, 2007, ISBN 978-3-8171-1809-0 •Nachtigall, W.: Grundlagen und Beispiele für Ingenieure und Naturwissenschafter •Nachtigall, W.: Vorbild Natur. Bionik-Design für funktionelles Gestalten •Cerman / Barthlott / Nieder: Erfindungen der Natur. Was wir von Pflanzen und Tieren lernen können •Forbes, P.:The geckos´ foot, Bio-inspiration - Engineering from Nature •Bioinspiration & Biomimetic

Lecture, discussion, exercises and case studies

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