A Skill Enhancement Virtual Training Model for Additive Manufacturing Technologies

  • Arjun C. ChandrashekarEmail author
  • Sreekanth Vasudev Nagar
  • K. Guruprasad
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 80)


Additive Manufacturing (AM) is one of the advanced manufacturing technology which has shown tremendous promise through revolutionizing the manufacturing paradigm. AM has made inroads into various domains through its versatility and distinct advantages of manufacturing. However, access to AM machines for training of personnel has been challenging due to high costs involved in the process. This research is undertaken to provide a feasible solution by incorporating virtual training modules pragmatically. This work aims at exploring opportunities to potentially solve the aforesaid concerns using training modules which can be accessed remotely using mobile connectivity. Purpose of this research effort is to provide a structural framework of design to enhance the productivity and skill sets of youth population of age group of 18–35 years in the domain of Mechanical Engineering; thereby making them industry ready through effective virtual training. The research is carefully crafted keeping the high costs involved in the conventional training using Industrial grade AM machines. For developing economies which may not be able to afford the usage of AM machines for hands-on training, this approach may become a game changer. The authors feel the need to explore the grey area and find a common point wherein neither access to training of personnel nor machinability of the equipment is not compromised. The authors believe this model will bring a new dimension in the context of advanced skill enhancement in the manufacturing sector in general and AM Technology in particular.


Additive Manufacturing Virtual training Skill development 3D printing Simulation software 



The authors are grateful to the Department of Mechanical Engineering, Product Innovation laboratory supported by Dassault Systemes and Propel Lab—II (Additive Manufacturing Laboratory) at BMS College of Engineering, Bangalore for continually providing support and encouragement during the course of this research work.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Arjun C. Chandrashekar
    • 1
    Email author
  • Sreekanth Vasudev Nagar
    • 1
  • K. Guruprasad
    • 1
  1. 1.Department of Mechanical EngineeringB.M.S College of EngineeringBengaluruIndia

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