Dual Number Automatic Differentiation
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05 Jun 2014 | | Contributor(s):: Wenbin Yu, kshitiz swaroop
DNAD (dual number automatic differentiation) is a simple, general-purpose tool to automatically differentiate Fortran codes written in modern Fortran (F90/ 95/2003) or legacy codes written in previous version of the Fortran language. It implements the forward mode of automatic differentiation...
Python and fortran script to create Abaqus input file for discretized addition of material in additive manufacturing (3D printing)
01 Jul 2017 | | Contributor(s):: VINAY DAMODARAN
In additive manufacturing, especially, fused deposition modeling, material is continuously added over a print substrate. To simulate the process in finite element analysis, a discretized approach is used where finite number of blocks are added to the domain to simulate material addition. In the...