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Multimaterial topology optimization using SIMP, DMO and gSF: A comparative study with honeycomb tessellations
Bhargav kumar Duru, Prabhat Kumar
This paper presents a comparative study of multimaterial topology optimization (MMTO) using the extended SIMP, Discrete Material Optimization (DMO), and generalized shape functions…
A Generalized Shape Function Approach for Multimaterial Topology Optimization
Swagatam Islam Sarkar, Nikhil Singh, Anupam Saxena +1
This paper presents a generalized shape function (gSF) approach for multi-material topology optimization that utilizes a compact design space to produce optimized configurations fe…
MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics
Andy Nonaka, Yingheng Tang, Julian C. LePelch +7
In order to comprehensively investigate the multiphysics coupling in spintronic devices, it is essential to parallelize and utilize GPU-acceleration to address the spatial and temp…
Normalized field product approach: A parameter-free density evaluation method for close-to-binary solutions in topology optimization with embedded length scale
Nikhil Singh, Prabhat Kumar, Anupam Saxena
This paper provides a normalized field product approach for topology optimization to achieve close-to-binary optimal designs. The method employs a parameter-free density measure th…
Topology optimization of contact-aided compliant mechanisms for tracing multi-kink paths
Prabhat Kumar, Roger A Sauer, Anupam Saxena
This paper presents a topology optimization approach to design 2D contact-aided compliant mechanisms (CCMs) that can trace the desired output paths with more than one kink while ex…
PyHexTop: a compact Python code for topology optimization using hexagonal elements
Aditi Agarwal, Anupam Saxena, Prabhat Kumar
Python serves as an open-source and cost-effective alternative to the MATLAB programming language. This paper introduces a concise topology optimization Python code, named ``\textt…