6 papers
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…
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…
Numerical investigation of wake dynamics and heat transfer in MHD flows around confined triangular prisms
Amulya Sai Akkaladevi, Prabhat Kumar, Sachidananda Behera
This study numerically investigates the flow evolution and heat transfer characteristics of an electrically conducting fluid over triangular prisms confined between two parallel pl…
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…
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…