Prahalada Rao

发表

Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control

Vukica Jovanovic, Olga Wodo, Zhenhua Wu, 2018 .

Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing Using Spectral Graph Theory

Zhenyu Kong, Chad E. Duty, Lonnie J. Love, 2016 .

Extrusion bioprinting: Recent progress, challenges, and future opportunities

Ola L. A. Harrysson, Denis Cormier, Iris V. Rivero, 2021 .

Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

Linkan Bian, Reza Yavari, Prahalada Rao, 2020, IISE Trans..

Machine learning–driven in situ process monitoring with vibration frequency spectra for chemical mechanical planarization

Jia Liu, Jingyi Zheng, Zhenyu Kong, 2020, The International Journal of Advanced Manufacturing Technology.

Quantifying Geometric Accuracy With Unsupervised Machine Learning: Using Self-Organizing Map on Fused Filament Fabrication Additive Manufacturing Parts

Linkan Bian, Ruholla Jafari-Marandi, Mojtaba Khanzadeh, 2018 .

Computational heat transfer with spectral graph theory: Quantitative verification

Prahalada Rao, Kevin D. Cole, M. Reza Yavari, 2020 .

In Situ Functional Monitoring of Aerosol Jet-Printed Electronic Devices Using a Combined Sparse Representation-Based Classification (SRC) Approach

Roozbeh Salary, Jack P. Lombardi, M. Samie Tootooni, 2018 .

Design Rules for Additive Manufacturing – Understanding the Fundamental Thermal Phenomena to Reduce Scrap

Prahalada Rao, M. Reza Yavari, Kevin D. Cole, 2019, Procedia Manufacturing.

Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach

Prahalada Rao, Mohammad Montazeri, Prahalada K. Rao, 2018, Journal of Manufacturing Science and Engineering.

Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling With a Focus on Tool Wear

Xingtao Wang, Robert E. Williams, Michael P Sealy, 2018 .

A cybermanufacturing and AI framework for laser powder bed fusion (LPBF) additive manufacturing process

Shing I. Chang, Prahalada Rao, Mohammadhossein Amini, 2019, Manufacturing Letters.

Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control

Hui Yang, Ruimin Chen, Bing Yao, 2018, Volume 3: Manufacturing Equipment and Systems.

Joint Multifractal and Lacunarity Analysis of Image Profiles for Manufacturing Quality Control

Ruimin Chen, Farhad Imani, Bing Yao, 2019, Journal of Manufacturing Science and Engineering.

Hybrid Processes in Additive Manufacturing

Michael P Sealy, Prahalada Rao, Maziar Toursangsaraki, 2018 .

Thermal Modeling in Metal Additive Manufacturing Using Graph Theory

Prahalada Rao, Kevin D. Cole, Prahalada K. Rao, 2019, Journal of Manufacturing Science and Engineering.

Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging

Hui Yang, Farhad Imani, Prahalada Rao, 2018, Journal of Manufacturing Science and Engineering.

Process-Structure-Quality Relationships of 3D Printed PCL-Hydroxyapatite Scaffolds.

Adnan Memic, Prahalada Rao, Ali Tamayol, 2020, Tissue engineering. Part A.

Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals

Ashok Samal, Prahalada Rao, Adam Clare, 2018, Smart and Sustainable Manufacturing Systems.

In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion

Reza Yavari, Prahalada Rao, Paul Boulware, 2018, Journal of Manufacturing Science and Engineering.