Search Results for author: Saigopal Nelaturi

Found 3 papers, 0 papers with code

PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing

no code implementations8 Dec 2021 Naresh S. Iyer, Amir M. Mirzendehdel, Sathyanarayanan Raghavan, Yang Jiao, Erva Ulu, Morad Behandish, Saigopal Nelaturi, Dean M. Robinson

In this paper, we propose PATO-a producibility-aware topology optimization (TO) framework to help efficiently explore the design space of components fabricated using metal additive manufacturing (AM), while ensuring manufacturability with respect to cracking.

Automated Process Planning for Hybrid Manufacturing

no code implementations18 May 2018 Morad Behandish, Saigopal Nelaturi, Johan de Kleer

A multimodal HM process plan is represented by a finite Boolean expression of AM and SM manufacturing primitives, such that the expression evaluates to an 'as-manufactured' artifact.

Collision Avoidance Computational Efficiency

Recognizing Abnormal Heart Sounds Using Deep Learning

no code implementations14 Jul 2017 Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

The work presented here applies deep learning to the task of automated cardiac auscultation, i. e. recognizing abnormalities in heart sounds.

Sound Classification Specificity

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