Sudarsan Rachuri

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Soavtorji

Ram Duvvuru SriramNational Institute of Standards and TechnologyPreverjeni e-poštni naslov na nist.gov
Sebti Foufou, PhDProf. of Computer Science, University of Sharjah, UAEPreverjeni e-poštni naslov na sharjah.ac.ae
Anantha NarayananNational Institute of Standards and TechnologyPreverjeni e-poštni naslov na nist.gov
Eswaran SubrahmanianCarnegie Mellon UniversityPreverjeni e-poštni naslov na cmu.edu
Prabir SarkarAssociate Professor at IIT RoparPreverjeni e-poštni naslov na iitrpr.ac.in
Mahesh ManiNational Institute of Standards and TechnologyPreverjeni e-poštni naslov na nist.gov
Seung-Jun ShinHanyang UniversityPreverjeni e-poštni naslov na hanyang.ac.kr
David LechevalierKoyebPreverjeni e-poštni naslov na koyeb.com
Paul WitherellNISTPreverjeni e-poštni naslov na nist.gov
Moneer HeluUniversity of MarylandPreverjeni e-poštni naslov na umd.edu
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAISTPreverjeni e-poštni naslov na kaist.ac.kr
Kincho LawProfessor of Civil and Environmental Engineering, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Shaw FengNISTPreverjeni e-poštni naslov na nist.gov
Abdelaziz BourasQatar UniversityPreverjeni e-poštni naslov na qu.edu.qa
Hyo Won Suh카이스트 산업공학 교수Preverjeni e-poštni naslov na kaist.ac.kr
Mehmet Murat BaysalSyracuse universityPreverjeni e-poštni naslov na syr.edu
KC MorrisNISTPreverjeni e-poštni naslov na nist.gov
Joshua LubellComputer Scientist, National Institute of Standards and TechnologyPreverjeni e-poštni naslov na nist.gov
Mehmet Ilteris SarigeciliAssoc. Prof of Mechanical Engineering Dept., Çukurova UniversityPreverjeni e-poštni naslov na cu.edu.tr
Soundar KumaraAllen, E & Allen, M., Pearce Professor of Industrial Engeering, Professor of Computer Science andPreverjeni e-poštni naslov na psu.edu

Spremljaj

Sudarsan Rachuri

Advanced Manufacturing Office, EERE,DOE

Preverjeni e-poštni naslov na hq.doe.gov

IIOT AI/ML Digital Twin smart manufacturing circularity


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	814	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	341	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	227	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	200	2001
Predictive analytics model for power consumption in manufacturing SJ Shin, J Woo, S Rachuri Procedia Cirp 15, 153-158, 2014	191	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	133	2005
A model for capturing product assembly information S Rachuri, YH Han, S Foufou, SC Feng, U Roy, F Wang, RD Sriram, ...	122	2006
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	119	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	118	2017
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	112	2009
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	92	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	85	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	77	2014
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	74	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	71	2005
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	69	2009
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	68	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	67	2014
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	57	1999
A generalized data-driven energy prediction model with uncertainty for a milling machine tool using Gaussian Process J Park, KH Law, R Bhinge, N Biswas, A Srinivasan, DA Dornfeld, M Helu, ... International manufacturing science and engineering conference 56833 …, 2015	54	2015

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