Dr. A. R. Nagargoje



Name: Dr. A. R. Nagargoje
Designation: Assistant Professor
Qualification: Ph.D. (Mechanical Engineering), M.Tech (Machine Design), B.E. (Mechanical)

  • Ph.D. in Mechanical Engineering from Indian Institute of Information Technology Design and Manufacturing, Jabalpur with 9.8 CPI in June 2022.
  • M.Tech. in Mechanical Engineering from GGV, Bilaspur (A central university of Chhattisgarh) with 9.01 C.G.P.I. in 2017.
  • BE in Mechanical Engineering from Savitribai Phule Pune University with 67.67% in 2014.

Overview of Profile:

  • Research experience of 5 years
  • Teaching experience of 6 months.
  • Specialization in Incremental sheet forming, Reverse Engineering, Rapid Prototyping, Toolpath Planning for Freeform Surfaces
  • Achieved Elite +Gold Badge in NPTEL course “Effective Engineering Teaching in Practice”.
  • Qualified GATE 2015 and GATE 2016 Exams
  • Handled projects on adaptive double sided incremental sheet forming, and design of hydraulic cylinders sponsored by Government of India, and DRDO Pune.

Fore Front Area of Research: Advanced manufacturing, Hybrid manufacturing, Dieless Manufacturing, Artificial Intelligence and Machine Learning for Manufacturing Processes, Vibration and structural analysis of mechanical systems
Email id:  aniket.nagargoje@mitaoe.ac.in
Experience:  Teaching: 6 Months, Research: 5 Years


  • Awarded with Fellowship for Training of Young Scientists of M.P. Council of science and technology


Research / Patents / Publications

JOURNAL PUBLICATIONS

Quartile: Q1 (Best Quartile)

  • Mandaloi, G., Nagargoje, A. R., Mall, A. P., Gupta, A. K., Tiwari, M. K., Dubey, A. K., & Tandon, P. (2022). Feature-based double-sided deformation machining approach for manufacturing freeform monolithic components. The International Journal of Advanced Manufacturing Technology, 1-15. https://doi.org/10.1007/s00170-022-10295-z (Journal Impact Factor: 3.563)
  • Mandaloi, G., Nagargoje, A., Gupta, A. K., Banerjee, G., Shahare, H. Y., & Tandon, P. (2022). A comprehensive review on experimental conditions, strategies, performance, and applications of incremental forming for deformation machining. Journal of Manufacturing Science and Engineering, 144(11), 110802. https://doi.org/10.1115/1.4054683 (Journal Impact Factor: 3.033)
  • Nagargoje, A., Kankar, P. K., Jain, P. K., & Tandon, P. (2021). Application of artificial intelligence techniques in incremental forming: a state-of-the-art review. Journal of Intelligent Manufacturing, 1-18. https://doi.org/10.1007/s10845-021-01868-y (Journal Impact Factor: 6.485)

Quartile: Q2

  • Mandaloi, G., Nagargoje, A., Banerjee, G. et al. Assessment of response parameters of the bending mode of deformation machining for manufacturing of impeller blades. J Braz. Soc. Mech. Sci. Eng. 44, 523 (2022). https://doi.org/10.1007/s40430-022-03811-5 (Journal Impact Factor: 2.361)
  • Nagargoje, A., Kankar, P. K., Jain, P. K., & Tandon, P. (2021). Performance evaluation of the data clustering techniques and cluster validity indices for efficient toolpath development for incremental sheet forming. Journal of Computing and Information Science in Engineering, 21(3). https://doi.org/10.1115/1.4048914 (Journal Impact Factor: 1.855)

Others

  • Sahu, A., Nagargoje, A., & Tandon, P. Feature Segmentation of Multifeatured Freeform Geometries for Incremental Sheet Forming. Digital Manufacturing Technology, 2(2), 65–77. https://doi.org/10.37256/dmt.2220221859

Conference Publications

Book Chapters

  • Nagargoje, A., Kankar, P. K., Jain, P. K., & Tandon, P. (2021, November). Comparison of Clustering Techniques for Feature-Based Toolpath Generation in Dieless Manufacturing. In ASME International Mechanical Engineering Congress and Exposition (Vol. 85567, p. V02BT02A013). American Society of Mechanical Engineers. https://doi.org/10.1115/IMECE2021-70255
  • Nagargoje, A., Kankar, P.K., Jain, P.K. & Tandon, P. Prediction of thickness profile of axisymmetric conical part in single point incremental forming. Presented In International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 2019), IIT Indore.

Book Chapters

  • Jatin, P., Nagargoje, A., Kankar, P. K., Gupta, V. K., Jain, P. K., Ravindra, T., ... & Ismail, M. (2019). Estimation of load carrying capacity for pin-mounted hydraulic cylinders. In Advances in Engineering Design (pp. 173-185). Springer, Singapore. https://doi.org/10.1007/978-981-13-6469-3_16