caa a22 4500 475798988 CHVBK 20180406123732.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1007/s001700050169 doi (NATIONALLICENCE)springer-10.1007/s001700050169 Development of an Artificial Neural Network to Predict Springback in Air Vee Bending [Elektronische Daten] [M. Inamdar, P. P. Date, K. Narasimhan, S. K. Maiti, U. P. Singh] Springback is a serious problem in the air vee bending process because of its inconsistency. An on-line tool to control spring-back is more reliable than an analytical model which might not be able to control the stroke of the machine in real-time. Therefore, one might resort to adaptive control or use an artificial neural network (ANN) trainer, either using experimental data or analytical predictions (or both), and use it for real-time control of the machine tool. The inconsistency in springback is then reduced to within acceptable limits. Adaptive control would need several strokes to complete the job, but it is envisaged that the job could be completed in a single stroke with the ANN.: The present paper discusses the development of an ANN which can be used to train and later to predict the springback, as well as the punch travel, to achieve the desired angle in a single stroke in an air vee bending process. Springer-Verlag London Limited, 2000 Keywords: Artificial neural network nationallicence Springback nationallicence Vee air bending nationallicence Inamdar M. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut Date P. P. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut Narasimhan K. Department of Metallurgical Engineering and Materials Science, IIT Bombay, India, IN aut Maiti S. K. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut Singh U. P. School of Electrical and Mechanical Engineering, University of Ulster, NI, UK, GB aut https://doi.org/10.1007/s001700050169 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001700050169 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Inamdar M. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut NATIONALLICENCE 700 1- Date P. P. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut NATIONALLICENCE 700 1- Narasimhan K. Department of Metallurgical Engineering and Materials Science, IIT Bombay, India, IN aut NATIONALLICENCE 700 1- Maiti S. K. Department of Mechanical Engineering, Indian Institute of Technology Bombay, India, IN aut NATIONALLICENCE 700 1- Singh U. P. School of Electrical and Mechanical Engineering, University of Ulster, NI, UK, GB aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer