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Proc. ASME. IMECE2020, Volume 2A: Advanced Manufacturing, V02AT02A006, November 16–19, 2020
Paper No: IMECE2020-23347
... the information on the status of the material and electrode. Hence more sophisticated method of analysis was used viz., Artificial Neural Network (ANN) for the estimation of the experimental values. SR and EW parameters prediction was carried out successfully for 50%, 60% and 70% of the training set for titanium...
Ugrasen Gonchikar, Holalu Venkatadasu Ravindra, Prathik Jain Sudhir, Umeshgowda Bettahally Mahadevegowda, Shankarnarayan Maskibail Suresh
Proc. ASME. IMECE2019, Volume 2A: Advanced Manufacturing, V02AT02A005, November 11–14, 2019
Paper No: IMECE2019-11168
...ESTIMATION AND COMPARISON OF WELDING RESPONSES USING MRA, GMDH AND ANN TECHNIQUE OF AL6061 AND AL7075 MATERIAL IN FSW Ugrasen Gonchikar 1 , Holalu Venkatadasu Ravindra 2 , Prathik Jain Sudhir 3 , Umeshgowda Bettahally Mahadevegowda 4 , Shankarnarayan Maskibail Suresh 1 1 Dept. of Mechanical...
Proc. ASME. IMECE2013, Volume 6B: Energy, V06BT07A083, November 15–21, 2013
Paper No: IMECE2013-64598
... In this research, optimization of a wind turbine airfoil is done by Genetic Algorithm (GA) as optimization method, coupled with CFD (Computational Fluid Dynamics) and Artificial Neural Network (ANN). A pressure-based implicit procedure is used to solve the Navier-Stokes equations...
Proc. ASME. IMECE2010, Volume 3: Design and Manufacturing, Parts A and B, 977-981, November 12–18, 2010
Paper No: IMECE2010-38895
... 01 05 2012 A coherent artificial neural network, ANN, software program capable of real time analysis and decision-making is utilized in this work for the automatic detection and diagnostics of tool wear during a surfacing milling operation using a fly cutter. Several sensors were...
Proc. ASME. IMECE2009, Volume 13: New Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis and Reliability Methods; Transportation Systems, 13-16, November 13–19, 2009
Paper No: IMECE2009-10161
... Copyright © ASME 2009 1 Proceedings of IMECE2008 2008 ASME International Mechanical Engineering Congress and Exposition November 13-19, Lake Buena Vista, Florida, USA IMECE2009-10161 ANN FOR TRIBOLOGICAL APPLICATIONS Tanzim Nasir Faculty of Engineering and Technology, Multimedia University, Jalan...
Proc. ASME. IMECE2008, Volume 16: Safety Engineering, Risk Analysis and Reliability Methods, 173-180, October 31–November 6, 2008
Paper No: IMECE2008-67260
... due to unexpected influences in real-time, so that safety hazard to personnel and equipment caused by the fault can be prevented or mitigated. ANN model based system monitor reliability engineering 2008 ASME International Mechanical Engineering Congress and Exposition IMECE2008 October 31...
Topics: Artificial neural networks
Proc. ASME. IMECE2008, Volume 15: Processing and Engineering Applications of Novel Materials, 151-159, October 31–November 6, 2008
Paper No: IMECE2008-66145
... was observed at low cutting speeds, at high cutting speeds very good surface finish and low specific power consumption could be achieved. An Artificial Neural Network (ANN) model has been developed for prediction of machinability parameters of MMC using feed forward back propagation algorithm. The various...
Proc. ASME. IMECE2006, Manufacturing Engineering and Textile Engineering, 167-175, November 5–10, 2006
Paper No: IMECE2006-14306
... at multi objective optimization of the process parametric combinations by modeling the process using artificial neural network (ANN). A feed forward back propagation neural network based on matrix experimental design is developed to model the WEDM process. Based on the developed model, different response...