Sudarsan Rachuri
Sudarsan Rachuri
Advanced Manufacturing Office, EERE,DOE
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Cited by
Cited by
A product information modeling framework for product lifecycle management
R Sudarsan, SJ Fenves, RD Sriram, F Wang
Computer-aided design 37 (13), 1399-1411, 2005
OntoSTEP: Enriching product model data using ontologies
R Barbau, S Krima, S Rachuri, A Narayanan, X Fiorentini, S Foufou, ...
Computer-Aided Design 44 (6), 575-590, 2012
Information sharing and exchange in the context of product lifecycle management: Role of standards
S Rachuri, E Subrahmanian, A Bouras, SJ Fenves, S Foufou, RD Sriram
Computer-Aided Design 40 (7), 789-800, 2008
Function-to-form mapping: model, representation and applications in design synthesis
U Roy, N Pramanik, R Sudarsan, RD Sriram, KW Lyons
Computer-Aided Design 33 (10), 699-719, 2001
Predictive analytics model for power consumption in manufacturing
SJ Shin, J Woo, S Rachuri
Procedia Cirp 15, 153-158, 2014
Product lifecycle management support: a challenge in supporting product design and manufacturing in a networked economy
E Subrahmanian, S Rachuri, SJ Fenves, S Foufou, RD Sriram
International Journal of Product Lifecycle Management 1 (1), 4-25, 2005
A model for capturing product assembly information
S Rachuri, YH Han, S Foufou, SC Feng, U Roy, F Wang, RD Sriram, ...
Ontostep: OWL-DL ontology for step
S Krima, R Barbau, X Fiorentini, R Sudarsan, RD Sriram
National Institute of Standards and Technology, NISTIR 7561, 2009
Toward a generalized energy prediction model for machine tools
R Bhinge, J Park, KH Law, DA Dornfeld, M Helu, S Rachuri
Journal of manufacturing science and engineering 139 (4), 041013, 2017
Energy efficiency of milling machining: Component modeling and online optimization of cutting parameters
SJ Shin, J Woo, S Rachuri
Journal of Cleaner Production 161, 12-29, 2017
An ontology for assembly representation
X Fiorentini, I Gambino, VC Liang, S Foufou, S Rachuri, M Mani, CE Bock
Xenia Fiorentini, Iacopo Gambino, VC Liang, Sebti Foufou, Sudarsan Rachuri†…, 2007
Performance evaluation of a manufacturing process under uncertainty using Bayesian networks
S Nannapaneni, S Mahadevan, S Rachuri
Journal of Cleaner Production 113, 947-959, 2016
Interpreting the semantics of GD&T specifications of a product for tolerance analysis
MI Sarigecili, U Roy, S Rachuri
Computer-Aided Design 47, 72-84, 2014
Information models for product representation: core and assembly models
S Rachuri, M Baysal, U Roy, S Foufou, C Bock, S Fenves, ...
International Journal of Product Development 2 (3), 207-235, 2005
Towards a domain-specific framework for predictive analytics in manufacturing
D Lechevalier, A Narayanan, S Rachuri
2014 IEEE International Conference on Big Data (Big Data), 987-995, 2014
The open assembly model for the exchange of assembly and tolerance information: overview and example
MM Baysal, U Roy, R Sudarsan, RD Sriram, KW Lyons
International design engineering technical conferences and computers and†…, 2004
An intelligent machine monitoring system for energy prediction using a Gaussian Process regression
R Bhinge, N Biswas, D Dornfeld, J Park, KH Law, M Helu, S Rachuri
2014 IEEE International Conference on Big Data (Big Data), 978-986, 2014
Metrics, standards and industry best practices for sustainable manufacturing systems
S Rachuri, RD Sriram, P Sarkar
2009 IEEE international conference on automation science and engineering†…, 2009
Design for tolerance of electro-mechanical assemblies: an integrated approach
Y Narahari, R Sudarsan, KW Lyons, MR Duffey, RD Sriram
IEEE Transactions on Robotics and Automation 15 (6), 1062-1079, 1999
Developing a virtual machining model to generate MTConnect machine-monitoring data from STEP-NC
SJ Shin, J Woo, DB Kim, S Kumaraguru, S Rachuri
International Journal of Production Research 54 (15), 4487-4505, 2016
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