Dr.D.S. Nagesh
MECHANICAL ENGINEERING
Phone:11
Email: dsnagesh@dce.edu
Qualifications
B.E.(Mech.-Univ.Mysore), M.Tech (IIT-Kharagpur), Ph.D (IIT-KHARAGPUR)
Areas of Interest
Robotics,CAD/CAM,Production Automation, Engg.Drawing, Engg. Mechanics,Welding Application of Artificial Neural Networks, Genetic Algorithm and Design of Experiments
Home page: https://sites.google.com/site/drdsnagesh/ Dr.D.S.Nagesh B.E.(Mech.-Univ.Mysore), M.Tech (IIT-Kharagpur), Ph.D (IIT-KHARAGPUR) Professor Department of Mechanical Engineering, DELHI COLLEGE OF ENGINEERING (Now DTU), DELHI, INDIA nageshds@yahoo.com Worked as Guest Faculty: I.I.T., Delhi Area of Specialisation: Robotics,CAD/CAM,Production Automation, Engg.Drawing, Engg. Mechanics,Welding Application of Artificial Neural Networks, Genetic Algorithm and Design of Experiments Experience: 30 Years Teaching & Research (from 1986) Scoupus 'h' index: 3 http://www.scopus.com/authid/detail.url?authorId=6506820675 ******************************************************************************************************************************************************************************************************************************** Recognition: Reviewer for International Journal of Advanced Manufacturing Technology, Springer Publications (Germany). ijamt-certificate.pdf Recognition: Reviewer for Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, Professional Engineering Publishing (UK), ISSN 0954-4054 JEM-certificate.pdf Recognition: Reviewer for Environmental Engineering and Management Journal, ROMANIA *********************************************************************************************** ****************************************************************************************************************************************** Some Achievements with Student Teams as Faculty Advisor: Unmanned Aircraft System - 2009 Team DCE UAS (Unmanned Aircraft Systems) has won $1500 and the Director's award for the best effort at the AUVSI Student UAS competition at Webster, Maryland, USA.(17-21 June 2009) Our Team: http://www.dceuav.com/students.html Student Team at US Competition site Our Student Team Leader Mr.Rochak Chadda featuring in : One's to Watch in AUVSI's magazine 0809OnestoWatch.pdf http://www.youtube.com/watch?v=V_o8M8SRYGo http://www.dceuav.com/index.html http://uasdce.blogspot.com/ ************************************************************************************************************************************************************************************************************************************************** Unmanned Aerial Vehicle (UAV) - Secured Most Innovative Design award at US High Payload capable, long flight duration, Electric powered Quad Rotor UAV: Unmanned Aerial Vehicle capable of lifting 24 kg of weight and equipped with surveillance cameras, wireless sensors, artificial vision, GPS navigation and long range wireless communication capabilities. The Delhi College of Engg.,(DCE) UAV has won the “Most Innovative Design Award” for their unconventional quad-rotor UAV at the Grand International Aerial Robotics Competition organized by the Association for Unmanned Vehicle Systems International (AUVSI), in association with the US army. The competition was held at the Fort Benning, US Army Base in Georgia, USA. The Aerial robots which participated in the US competition were expected to perform a mission that is beyond the capability of any system in existence today, including those of the Super Power’s military machines. Nothing in the U.S. arsenal of robots is currently capable of completing the IARC mission to fly in 3 km, find a village, identify a specific building within that village, identify all actual openings in that building, fly in or send in a sub robot to the building through one of those openings, search the interior for a specific target, and transmit or relay still or video pictures of the target back to the launch point 3 km distant-- all completely without human intervention. Among the 24 teams from USA and Canada, Delhi College of Engg team was the only team from India to compete with the student teams from the world top ranking universities such as California State University, Georgia Institute of Technology, Purdue University, University of Central Florida, Virginia Polytechnic institute and state university, Waterloo University Canada. The Delhi College of Engg UAV team has won high admiration of the organizers for their highly innovative design and for the exceptional team excellence demonstrated by the talented students. The Delhi College of Engg UAV comprises of twin UAVs, one large primary UAV and another miniature UAV, which initially sits on the large vehicle and later takes off from the orbiting mother UAV after a chosen target has been identified for detailed area mapping and surveillance. The student teams drawn from inter disciplinary engineering departments of Delhi College of Engg., were supervised by Dr. D.S.Nagesh, Prof. M.Kulkarni. and Prof.Asok De. http://uavindia.com/ (Student Team ) http://www.roboticsindia.com/modules.php?name=News&file=article&sid=161 http://www.hinduonnet.com/2006/07/29/stories/2006072907792000.htm http://uavindia.com/aboutus.htm ************************************************************************************************************************************************************************************ CHANDRA RATH-The Great Moonbuggy Race 2008, NASA Team: Rajbir, Rohit,Anil,Shitij,Kareena and Chandan Kumar-Team leader Faculty Advisor: Dr.D.S.Nagesh Team CHANDRA RATH has won "SAFETY SYSTEM AWARD" at The Great Moonbuggy Race held from 4th April 2008 to 5th April 2008 at NASA, USA Certificate: SAFETY SYSTEM AWARD Some Media Reports: http://www.ndtv.com/convergence/ndtv/story.aspx?id=NEWEN20080044912&ch=3/26/2008%209:16:00%20PM Students Team: 1. VIKRAM KHATRI 2. PANKAJ CHATURVEDI 3. RANJAN AHLAWAT 4. SATISH KUMAR 5. AMIT MEHTA Students Team: 1. Deepak Kumar 2. Deepak Kumar Rai 3. Jitendra Kumar 4. Mohit Sharma Publications: International Journals [1] Nagesh D.S. and Datta G.L.,“Prediction of weld bead geometry and penetration in shielded metal-arc welding using artificial neural networks”, Journal of Materials Processing Technology, 123 (2), p 303-312, 2002.Elsevier Publications. http://dx.doi:10.1016/S0924-0136(02)00101-2 (more than 68 citations) http://www.scopus.com/scopus/results/citedbyresults.url?sort=plf-f&cite=2-s2.0-0037197384&src=s&imp=t&sid=kOXBaRN-mlBJx0Nkshfkg6x%3a30&sot=cite&sdt=a&sl=0&origin=inward&txGid=kOXBaRN-mlBJx0Nkshfkg6x%3a2 http://scholar.google.co.in/scholar?hl=en&lr=&cites=5715644814475094720&um=1&ie=UTF-8&ei=E23mS4mlFMOzrAeRttiAAw&sa=X&oi=science_links&resnum=10&ct=sl-citedby&ved=0CCsQzgIwCTgK IMPACT FACTOR: 1.881 - 5 year IF (Check for any recent change in impactor factor in the official website of the Journal) http://www.elsevier.com/wps/find/journaldescription.cws_home/505656/description#description [2] Nagesh.D.S. and G.L.Datta, “Genetic Algorithm for Optimization of Welding Variables for Height to Width Ratio and Application of ANN for Prediction in TIG Welding Process”, Journal of Applied Soft Computing, Volume 10, Issue 3, June 2010, Pages 897-907 ,Elsevier Publications doi:10.1016/j.asoc.2009.10.007 IMPACT FACTOR: 2.860 - 5 year IF (Check for any recent change in impactor factor in the official website of the Journal) http://www.elsevier.com/wps/find/journaldescription.cws_home/621920/description#description [3] Nagesh.D.S. and A.P.Harsha , “Prediction of Weight Loss of Various Polyaryletherketones and their Composites in Three-body Abrasive Wear Situation using Artificial Neural Networks”, Journal of Reinforced Plastics and Composites, Vol. 26, No. 13, p1367-1377, 2007, SAGE Publications http://jrp.sagepub.com/cgi/content/abstract/26/13/1367 http://intl-jrp.sagepub.com/cgi/content/abstract/26/13/1367 IMPACT FACTOR: 0.727(Check for any recent change in impactor factor in the official website of the Journal) http://www.sagepub.com/journalsProdDesc.nav?prodId=Journal201585 [4] Nagesh.D.S. and G.L.Datta, “Modeling of Fillet Welded Joint of GMAW Process: Integrated Approach Using DOE, ANN and GA”, International journal of Interactive Design and Manufacturing, Springer Publications in Vol.2, Issue-3, pp 127-136,August,2008.Available online from 25th June 2008. http://dx.doi.org/10.1007/s12008-008-0042-8 [5] Nagesh.D.S. and G.V.Prasanna Kumar,"Modeling and optimisation of parameters of flow rate of paddy grains through the orifices on the horizontal rotating cylindrical drum of drum seeder", International Journal of Computers and Electronics in Agriculture, Elsevier Publications in Vol.65, Issue-1, pp 26-35,January,2009. doi:10.1016/j.compag.2008.07.006 IMPACT FACTOR: 2.204 - 5 year IF(Check for any recent change in impactor factor in the official website of the Journal) http://www.elsevier.com/wps/find/journaldescription.cws_home/503304/description#description International Conferences [1] Nagesh D.S. and Datta G.L.,“Genetic algorithm for optimization of process parameters for height to width ratio and application of neural networks for prediction of weld bead geometric parameters for TIG welding process”, AWS Welding Show, Chicago, Illinois, U.S.A., Abstract No. 05.5-002, Nov. 2005. www.aws.org/wj/2005/11/program05.pdf www.aws.org/conferences/abstracts/TOC2.html [2] Nagesh D.S. and Datta G.L., “Genetic algorithm for optimization of SMAW process variables for WPSF, WRFF and bead geometry parameters”, 16th TWI International Conference on Computer Technology in Welding and Manufacturing & The 3rd TWI International Conference on Mathematical Modelling and Information Technologies in Welding and Related Processes, The Paton Welding Institute, Kiev, Ukraine, 6-8 June, 2006. http://www.getcited.org/pub/103434886 [3] Nagesh.D.S. and G.L.Datta, “Genetic Algorithm and Artificial Neural Networks application for Modeling of Fillet welded joint of GMAW process”, 3rd JOIN CONFERENCE in Lappeenranta , FINLAND, 22nd to 24th August 2007. http://developmentcentre.lut.fi/muut/nolampjoin2007/esitteet/3rd%20JOIN%20program.pdf [4] Nagesh.D.S. and G.L.Datta,"Inverse Mapping Using Genetic Algorithm and Forward Mapping Using Artificial Neural Network for Modeling of Nd:YAG Laser welding of Titanium alloy” had been accepted for presentation in International Conference “Computer Technology in Welding and Manufacturing Conference”, Cranfield University, CRANFIELD , U.K., From 17th to 19th June 2008. www.vitresyn.co.uk/j32k/getFile/e17-190608_prog.pdf www.twiprofessional.com/professional/getFile/e17-19062008.pdf [5] Nagesh D.S., H.N.Suresh, and Jagtar Singh., "Modeling of Micro-hardness of Milling Roller – Burnishing Parameters: An ANN Approach", accepted for presentation at,World Academy of Science, Engineering and Technology Conference to be held at PRAGUE,Czech Republic, July 25-27, 2008 [6] Nagesh D.S. and Datta G.L., “Prediction of weld bead geometric parameters for GMAW process based on mathematical model and back propagation neural network”, International Welding Conference – 2001, New Delhi, India, p 637-652, 2001 [7] Nagesh D.S., Y.T.K.Gowda, et.al.,"Application of Adaptive Finite Element Technique for flow past circular cylinder", 24th National conference on FMFP. Dec 1997 [8] Nagesh D.S., H.N.Suresh, et.al., "Finite element analysis of hollow brick drying in free convection environment", 15th National heat and Mass Transfer and 4th ISHMT conference, Jan 2000. [9] Nagesh D.S.,H.N.Suresh,et.al,"The effect of ambient velocity on conjugate drying during forced and mixed convection drying environment", Proceedings of 17th National and 6th ISHMT/ASME Heat and mass transfer , 5-7th Jan 2004, pp 220-226, Indira Gandhi Centre of atomic Research, Kalpakkam, India [10] Nagesh.D.S., H.N.Suresh et.al "Analysis of brick drying processes using FEM",18th National heat and Mass Transfer and 7th ISHMT conference, Jan 2006. http://www.iitg.ac.in/hmtc/forms/paper_status.pdf *****************************************************************************************************************************************************************************************
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Faculty Advisor: GREEN WAYS : DESIGN AND FABRICATION OF AERODYANAMIC BATTERY ASSISTED RICKSHAW
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