User profiles for Prahlad K. Rao

Prahlad K. Rao

Research Scientist, University of Tennessee Health Science Center, Memphis TN
Verified email at uthsc.edu
Cited by 308

Online real-time quality monitoring in additive manufacturing processes using heterogeneous sensors

PK Rao, J Liu, D Roberson… - Journal of …, 2015 - asmedigitalcollection.asme.org
The objective of this work is to identify failure modes and detect the onset of process
anomalies in additive manufacturing (AM) processes, specifically focusing on fused filament …

Classifying the dimensional variation in additive manufactured parts from laser-scanned three-dimensional point cloud data using machine learning approaches

…, A Dsouza, R Donovan, PK Rao… - Journal of …, 2017 - asmedigitalcollection.asme.org
The objective of this work is to develop and apply a spectral graph theoretic approach for
differentiating between (classifying) additive manufactured (AM) parts contingent on the …

Computational fluid dynamics modeling and online monitoring of aerosol jet printing process

…, R Donovan, PK Rao… - Journal of …, 2017 - asmedigitalcollection.asme.org
The objectives of this paper in the context of aerosol jet printing (AJP)—an additive manufacturing
(AM) process—are to: (1) realize in situ online monitoring of print quality in terms of line…

An online sparse estimation-based classification approach for real-time monitoring in advanced manufacturing processes from heterogeneous sensor data

K Bastani, PK Rao, Z Kong - IIE Transactions, 2016 - Taylor & Francis
The objective of this work is to realize real-time monitoring of process conditions in advanced
manufacturing using multiple heterogeneous sensor signals. To achieve this objective we …

Online non-contact surface finish measurement in machining using graph theory-based image analysis

…, C Liu, D Roberson, R Donovan, PK Rao… - Journal of Manufacturing …, 2016 - Elsevier
This work addresses the following open research question: what non-contact measurement
techniques and analytical approaches are required to assess the surface finish of a …

Online monitoring of functional electrical properties in aerosol jet printing additive manufacturing process using shape-from-shading image analysis

R Salary, JP Lombardi, PK Rao… - Journal of …, 2017 - asmedigitalcollection.asme.org
The goal of this research is online monitoring of functional electrical properties, eg, resistance,
of electronic devices made using aerosol jet printing (AJP) additive manufacturing (AM) …

Assessment of dimensional integrity and spatial defect localization in additive manufacturing using spectral graph theory

PK Rao, Z Kong, CE Duty… - Journal of …, 2016 - asmedigitalcollection.asme.org
The ability of additive manufacturing (AM) processes to produce components with virtually
any geometry presents a unique challenge in terms of quantifying the dimensional quality of …

A spectral graph theoretic approach for monitoring multivariate time series data from complex dynamical processes

MS Tootooni, PK Rao, CA Chou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The objective of this paper is to monitor complex process dynamics manifest in multivariate (multidimensional)
time series data using a spectral (algebraic) graph theoretic approach. …

Heterogeneous sensor data fusion approach for real-time monitoring in ultraprecision machining (UPM) process using non-parametric Bayesian clustering and …

OF Beyca, PK Rao, Z Kong… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
The aim of this paper is to detect the incipient anomalies in a ultraprecision machining (UPM)
process by integrating multiple in situ sensor signals. To realize this aim we forward a …

Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process

H Sun, PK Rao, ZJ Kong, X Deng… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Additive manufacturing (AM) enables flexible part geometry and functionality, and reduces
product development life cycle by direct layer-wise fabrication from CAD files. In the last …