Dear Mr. Ravisankar, thank you for your interesting presentation on energy consumption measurement and analysis of SLM AM processes. The energy measurement method utilised is very appropriate for real industrial shop floor application because of its fully non intrusive nature. My question is: besides the identification and clustering of the energy consumption during the diverse process steps, are you thinking to use the detected sensor based information on energy consumption for real time adaptive control of the SLM process in view of the energy efficiency enhancement of the shop floor where the AM machines are located?
Thank you for your interest in the topic and for your feedback.
Regarding your question: Yes, the obtained energy consumption information paves ways to monitor the operation of SLM and could aide with different operational scenarios including improvising energy efficiency through energy oriented product designs ahead of scheduled production, time-ahead maintenance planning through electrical observations of process steps and also of course, adapting production control based on energy availability with more focus towards utilising renewable resources. With wider series of SLM and other AM machines operating on a shop floor, a set of cluster based energy consumption identification models would be more beneficial and economical, particularly in above mentioned scenarios.
Dear Mr. Ravisankar, thank you for your interesting presentation on energy consumption measurement and analysis of SLM AM processes. The energy measurement method utilised is very appropriate for real industrial shop floor application because of its fully non intrusive nature. My question is: besides the identification and clustering of the energy consumption during the diverse process steps, are you thinking to use the detected sensor based information on energy consumption for real time adaptive control of the SLM process in view of the energy efficiency enhancement of the shop floor where the AM machines are located?
Dear Ms. Caggiano,
Thank you for your interest in the topic and for your feedback.
Regarding your question: Yes, the obtained energy consumption information paves ways to monitor the operation of SLM and could aide with different operational scenarios including improvising energy efficiency through energy oriented product designs ahead of scheduled production, time-ahead maintenance planning through electrical observations of process steps and also of course, adapting production control based on energy availability with more focus towards utilising renewable resources. With wider series of SLM and other AM machines operating on a shop floor, a set of cluster based energy consumption identification models would be more beneficial and economical, particularly in above mentioned scenarios.