Advances in Manufacturing Systems

Dr. Shailendra Kumar is currently Professor and Head at the Department of Mechanical Engineering, S. V. National Institute of Technology, Surat, India. He is graduated in Production Engineering from Regional Institute of Technology, Jamshedpur (Presently NIT Jamshedpur) and Ph.D. from Maharshi Dayanand University, Rohtak, Haryana, India. His broad area of research is manufacturing. He is especially interested in AI applications in sheet metal forming, additive manufacturing, conventional and non-conventional machining, and CAM. More than 160 papers published in reputed journals and conferences are at his credit. He has completed several research projects funded by Indian Govt. agencies including Dept. of Sc. & Tech. (DST), Naval Research Board (NRB), MHRD, SERB; and also worked as Co-Principle Investigator in one Int. project of NPST, Kingdom of Saudi Arabia, Riyad. He is also the recipient of Young Scientist Award of DST, Govt. of India. Dr. K. P. Rajurkar is currently a Distinguished Professor at the Department of Mechanical & Materials Engineering, College of Engineering, University of Nebraska – Lincoln, Nebraska, USA. He obtained his B.E. (Mechanical Engineering) from Jabalpur University and M.S. and Ph.D. from Michigan Tech. His major areas of research interests include modeling and analysis of manufacturing processes, and systems sensing and control of traditional and non-traditional macro, micro and nano manufacturing processes. He holds a patent on cryogenically cooled tool machining and is the author of more than 120 refereed publications. He was awarded the Society of Manufacturing Engineers (SME) Gold Medal in 2009 and the M. Eugene Merchant Manufacturing Medal of ASME/SME in 2018. Recognized as a research leader, he was president of the North American Manufacturing Research Institute of SME (NAMRI/SME) in 1998-99. He is also the recipient of Distinguished Service Award, North American Manufacturing Research Institution, Society of Manufacturing Engineers (SME) in 2011.

• Computational design and digital fabrication.- Machining Of The Logarithmic Spiral – A Complex Geometries in Nature Using Macro Programming.- Automatic Feature Recognition (AFR) of The Inclined Cross- Hole in Hollow Cylinders.- Grey relational multi decision analysis of SS304 bead characteristics processed in wire arc deposition process for additive manufacturing.- Optimizing the Defocused CO2 Laser Microchanneling Process Using Grey Relational Analysis