Home Page | Prof. Neelesh Kumar Jain
INDIAN INSTITUTE OF TECHNOLOGY INDORE
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FACULTY PROFILE
Prof. Neelesh Kumar Jain
Technologies and Equipment Developed by Prof. Neelesh Kumar Jain
  1. Ultrasonic Solid State Additive Manufacturing (USSAM) Technology for Multi-Material Laminates of Thermally Challenging Materials (1 Indian Patent Granted; 3 Patents under-granting)
  2. Friction Stir Powder Additive Manufacturing (FSPAM) Technology for Thermally Difficulty Alloys and Metal Matrix Composites
  3. Micro-Plasma Metal Additive Manufacturing (MPMAM) Technology for the Metallic Materials (1 Indian Patent Granted)
  4. Vacuum and Magnetic field assisted micro-Plasma Powder Additive Manufacturing (VMPP-AM) Technology for Metallic Materials (1 Indian Patent under-granting process)
  5. Non-Contact Twist-Free Flank Modification Technology for Spur Gears (1 Indian Patent Granted Patent)
  6. Non-Contact Technology for High Quality Finishing of Bevel Gears by Electrochemical Honing (ECH) and Pulsed ECH (PECH)
  7. Sustainable Hobbing of Gears Using Green Lubricants via Minimum Quantity Lubrication (MQL)
  8. Net-shape Manufacturing of Miniature and Non-Circular Gears by Wire Spark Erosion Machining (WSEM) process
  9. Abrasive Flow Finishing (AFF) Technology for High Quality Finishing of Cylindrical and Conical Gears
  10. Single-Flank Roll Testing Equipment for Functional Performance of Cylindrical Gears
  11. Double-Flank Roll Testing Equipment for Functional Performance of Cylindrical Gears
  12. Noise and Vibrations Test Rig for Cylindrical and Conical Gears
  13. 3-Axis Micro-controller Based Technology for Abrasive Jet Machining (AJM) of Thin Ceramics and Semi-Conductors
  14. Development of Apparatus for ulsed Electrolytic Dissolution (PED) Process to Generate Copper Nanoparticles
  15. Development of Apparatus for Pulsed Electrolytic Jet Drilling (PEJD) for Micro-holes in Superalloys
  16. Development Decision Support (DSS) systems for Casting Process Selection for Non-ferrous Materials and for Rapid Prototyping Process Selection
  17. Development of a User-friendly DSS using Fuzzy Sets for Advanced machining process Selection and for Parametric Optimization Using Real-Coded Genetic Algorithms
  18. Development of Visibility-Check based Process Planning System for Axisymmetric Components

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