TopOpt is a Grasshopper tool and a research platform for the implementation of experimental topology optimization procedures targeted towards architectural design of structures.
Developed by the Technical University of Denmark, Israel Institute of Technology and Aarhus School of Architecture, TopOpt for Grasshopper provides a number of optimization methodologies that extends currently available methods based on the 99-line MATLAB code for basic mechanical topology optimization provided by prof. Ole Sigmund of DTU.
The current alpha-release features 2d topology optimization based on the interactive optimization app developed for iOS and Android; topology optimization of continuum structures with tension and compression prioritization; and dual material topology optimization for optimization of composite structures with materials of varying properties.
Interactive visualization, 3d-optimization and further methodological extensions will be included in coming updates
I have been working on the utilization of the Topology Optimization method for the design for fused deposition manufacturing (extrusion based 3d printing).
So I need to be able to discretisize the space within the restraints and found inputs from the toolpath patterns i have been testing along the way. I could not find a way to customize the setting for the cell size for the calculation?
ps. Hopefully I will improve my python skills to work directly from there ? If possible! Need collaboration :)
TopOpt
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Description
Discretization Settings
by asyimut
Mar 20, 2017
Thanks for the nice plug in!
I have been working on the utilization of the Topology Optimization method for the design for fused deposition manufacturing (extrusion based 3d printing).
So I need to be able to discretisize the space within the restraints and found inputs from the toolpath patterns i have been testing along the way. I could not find a way to customize the setting for the cell size for the calculation?
ps. Hopefully I will improve my python skills to work directly from there ? If possible! Need collaboration :)
Cheerio!