Simulation Based Process Optimization for Additive Manufacturing
Anupam Pandit1, Ravi Sekhar2, Pritesh Shah3
1Anupum Pandit, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune.
2Ravi Sekhar, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune.
3Pritesh Shah, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune.
Manuscript received on 21 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript published on 30 August 2019 | PP: 3405-3410 | Volume-8 Issue-10, August 2019 | Retrieval Number: J95040881019/19©BEIESP | DOI: 10.35940/ijitee.J9504.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Additive manufacturing is finding increasing applications in industries ranging from electronics to aerospace and even medical sectors. However, these machines are very expensive which hinders researcher investigations. Thus it is important to have an alternative data source for such machines. A probable solution is to develop a simulator to replicate such machine based on same input parameters and thus obtain results similar to that from an actual machine. This would help developers and researchers investigate several aspects of additive manufacturing without using the actual machine. This paper reports an investigation conducted to study the behavior of a selective laser melting machine under different scenarios. Influences due to components such as vacuum pump, reciprocating pump, gas inlet valve, vent valve, elevator and wiper have been included. Experimental result data has been used to build codes in C# software to program the PLC simulator. Validation experiments confirmed simulation output. The present work helps the end user to inspect real time simulations such as vacuum creation, inert gas atmosphere progression. Thus, simulation results offer time and resource savings to an additive manufacturing end user by him/her make informed decisions by supplying exact parameter settings suitable to his/her manufacturing requirements.
Keywords: Selective Laser Melting; PLC Simulator; Additive Manufacturing; 3D Printing
Scope of the Article: 3D Printing