Prahalada Rao

Prahalada Rao

University of Nebraska-Lincoln

H-index: 35

North America-United States

About Prahalada Rao

Prahalada Rao, With an exceptional h-index of 35 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Nebraska-Lincoln, specializes in the field of Additive Manufacturing Processes, Sensing, Analytics, Machine Learning, Thermal Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Monitoring and control of biological additive manufacturing using machine learning

ADDITIVE MANUFACTURING DEFECT DETECTION

Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive manufacturing using physics-based machine learning

Prediction of recoater crash in laser powder bed fusion additive manufacturing using graph theory thermomechanical modeling

Thermal modeling of directed energy deposition additive manufacturing using graph theory

Application of hybrid laser powder bed fusion additive manufacturing to microwave radio frequency quarter wave cavity resonators

Ultrasonic nondestructive evaluation of additively manufactured wear coatings

Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing

Prahalada Rao Information

University

Position

___

Citations(all)

3402

Citations(since 2020)

2835

Cited By

1391

hIndex(all)

35

hIndex(since 2020)

30

i10Index(all)

63

i10Index(since 2020)

56

Email

University Profile Page

University of Nebraska-Lincoln

Google Scholar

View Google Scholar Profile

Prahalada Rao Skills & Research Interests

Additive Manufacturing Processes

Sensing

Analytics

Machine Learning

Thermal Modeling

Top articles of Prahalada Rao

Title

Journal

Author(s)

Publication Date

Monitoring and control of biological additive manufacturing using machine learning

Journal of Intelligent Manufacturing

Samuel Gerdes

Aniruddha Gaikwad

Srikanthan Ramesh

Iris V Rivero

Ali Tamayol

...

2024/3

ADDITIVE MANUFACTURING DEFECT DETECTION

2024/2/29

Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive manufacturing using physics-based machine learning

Materials & Design

Alex R Riensche

Benjamin D Bevans

Grant King

Ajay Krishnan

Kevin D Cole

...

2024/1/1

Prediction of recoater crash in laser powder bed fusion additive manufacturing using graph theory thermomechanical modeling

Progress in Additive Manufacturing

Md Humaun Kobir

Reza Yavari

Alexander R Riensche

Benjamin D Bevans

Leandro Castro

...

2023/6

Thermal modeling of directed energy deposition additive manufacturing using graph theory

Rapid Prototyping Journal

Alex Riensche

Jordan Severson

Reza Yavari

Nicholas L Piercy

Kevin D Cole

...

2023/1/27

Application of hybrid laser powder bed fusion additive manufacturing to microwave radio frequency quarter wave cavity resonators

The International Journal of Advanced Manufacturing Technology

Alex Riensche

Paul Carriere

Ziyad Smoqi

Andrew Menendez

Pedro Frigola

...

2023/1

Ultrasonic nondestructive evaluation of additively manufactured wear coatings

Ndt & E International

Ziyad Smoqi

Luz D Sotelo

Aniruddha Gaikwad

Joseph A Turner

Prahalada Rao

2023/1/1

Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing

Virtual and Physical Prototyping

Benjamin Bevans

Christopher Barrett

Thomas Spears

Aniruddha Gaikwad

Alex Riensche

...

2023/12/31

Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing

Alexander Riensche

Benjamin Bevans

Ziyad Smoqi

Reza Yavari

Ajay Krishnan

...

2023/6/12

In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning

Journal of Intelligent Manufacturing

Aniruddha Gaikwad

Tammy Chang

Brian Giera

Nicholas Watkins

Saptarshi Mukherjee

...

2022/10

Closed-loop control of meltpool temperature in directed energy deposition

Materials & Design

Ziyad Smoqi

Benjamin D Bevans

Aniruddha Gaikwad

James Craig

Alan Abul-Haj

...

2022/3/1

Thermal modeling of additive manufacturing using progressive horizontal subsections

2022/9/8

Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing

Materials & Design

Aniruddha Gaikwad

Richard J Williams

Harry de Winton

Benjamin D Bevans

Ziyad Smoqi

...

2022/9/1

Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Journal of Materials Processing Technology

Ziyad Smoqi

Aniruddha Gaikwad

Benjamin Bevans

Md Humaun Kobir

James Craig

...

2022/6/1

Feedforward control of thermal history in laser powder bed fusion: Toward physics-based optimization of processing parameters

Materials & Design

Alex Riensche

Benjamin D Bevans

Ziyad Smoqi

Reza Yavari

Ajay Krishnan

...

2022/12/1

Numerical and experimental investigation of aerosol jet printing

Additive Manufacturing

Srikanthan Ramesh

Chaitanya Mahajan

Sam Gerdes

Aniruddha Gaikwad

Prahalada Rao

...

2022/11/1

Thermal modeling of additive manufacturing using graph theory

2022/4/14

Recurrence network analysis of design-quality interactions in additive manufacturing

Additive manufacturing

Ruimin Chen

Prahalada Rao

Yan Lu

Edward W Reutzel

Hui Yang

2021/3/1

A computational fluid dynamics investigation of pneumatic atomization, aerosol transport, and deposition in aerosol jet printing process

Journal of Micro-and Nano-Manufacturing

Roozbeh Salary

Jack P Lombardi

Darshana L Weerawarne

Prahalada Rao

Mark D Poliks

2021/3/1

Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data

Materials & Design

R Yavari

A Riensche

E Tekerek

L Jacquemetton

H Halliday

...

2021/12/1

See List of Professors in Prahalada Rao University(University of Nebraska-Lincoln)

Co-Authors

H-index: 59
Christopher Bryant Williams

Christopher Bryant Williams

Virginia Polytechnic Institute and State University

H-index: 40
Linkan Bian

Linkan Bian

Mississippi State University

H-index: 35
Zhenyu (James) Kong

Zhenyu (James) Kong

Virginia Polytechnic Institute and State University

H-index: 9
Mohammad Samie Tootooni

Mohammad Samie Tootooni

Loyola University Chicago

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