1 citations · 4 across the 5 of their papers we have counts for
4 papers
FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks
Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh
Fluid-flow devices with low dissipation, but high contact area, are of importance in many applications. A well-known strategy to design such devices is multi-scale topology optimiz…
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network
Aaditya Chandrasekhar, Amir Mirzendehdel, Morad Behandish +1
In this paper, we present a topology optimization (TO) framework to simultaneously optimize the matrix topology and fiber distribution of functionally graded continuous fiber-reinf…
GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
Multiscale topology optimization (M-TO) entails generating an optimal global topology, and an optimal set of microstructures at a smaller scale, for a physics-constrained problem.…
Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks
Aaditya Chandrasekhar, Krishnan Suresh
Length scale control is imposed in topology optimization (TO) to make designs amenable to manufacturing and other functional requirements. Broadly, there are two types of length-sc…