Article-Journal

Process-aware topology optimization leveraging deep learning surrogate model-based functions for laser powder bed fusion

Additive manufacturing (AM) methods have greatly matured over the years to produce complex metal parts not previously possible. One of the major methods is laser powder bed fusion …

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Praveen S Vulimiri

A mean–variance estimation bidirectional convolutional long short-term memory surrogate model predicting residual stress and model error for laser powder bed fusion

Beam-based metal additive manufacturing (AM) processes, such as laser powder bed fusion or directed energy deposition, melt and fuse the feedstock material to build a part …

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Praveen S Vulimiri

CAD-integrated topology optimization method with dynamic extrusion feature evolution for multi-axis machining

This paper proposes a subtractive geometry projection topology optimization approach to simulate the multi-axis machining process and remove material from the initial design …

hao-deng

Integrating Geometric Data into Topology Optimization via Neural Style Transfer

This research proposes a novel topology optimization method using neural style transfer to simultaneously optimize both structural performance for a given loading condition and …

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Praveen S Vulimiri

An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB

This paper presents an efficient and compact MATLAB code for three-dimensional stress-based sensitivity analysis. The 146 lines code includes the finite element analysis and p-norm …

hao-deng

Machine Learning for Materials Developments in Metals Additive Manufacturing

In metals additive manufacturing (AM), materials and components are concurrently made in a single process as layers of metal are fabricated on top of each other in the near-final …

n.-s.-johnson