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Parametric optimization for enhancing process sustainability: evidence from fused deposition modeling process
https://orcid.org/http://orcid.org/0000-0001-9494-6873
https://orcid.org/http://orcid.org/0000-0002-6430-3313
https://orcid.org/http://orcid.org/0000-0002-5446-8966
This study examines the process optimization potential for enhancing the sustainability of a manufacturing process, taking the fused deposition modeling process as a case study. First, the survey- and experiment-based approaches were applied to identify the process parameters and their operating ranges, respectively ensuring the desired level of dimensional deviation. Then the association of each control parameter, i.e., printing temperature, layer height, printing speed, and non-printing speed, with each response variable, i.e., electrical energy consumption, indirect CO2 gas emissions, scrap weight, and production rate, was determined, and used to set the optimization criteria. All control parameters had linear relationships with response variables. Except for printing temperature, all control parameters adversely affected energy consumption and indirect CO2 emission. Moreover, printing the parts at the optimal conditions helped reduce energy consumption, indirect CO2 emission, and scrap weight and increase the production rate substantially indicating its enormous potential for improving process sustainability.
Parametric optimization for enhancing process sustainability: evidence from fused deposition modeling process
https://orcid.org/http://orcid.org/0000-0001-9494-6873
https://orcid.org/http://orcid.org/0000-0002-6430-3313
https://orcid.org/http://orcid.org/0000-0002-5446-8966
This study examines the process optimization potential for enhancing the sustainability of a manufacturing process, taking the fused deposition modeling process as a case study. First, the survey- and experiment-based approaches were applied to identify the process parameters and their operating ranges, respectively ensuring the desired level of dimensional deviation. Then the association of each control parameter, i.e., printing temperature, layer height, printing speed, and non-printing speed, with each response variable, i.e., electrical energy consumption, indirect CO2 gas emissions, scrap weight, and production rate, was determined, and used to set the optimization criteria. All control parameters had linear relationships with response variables. Except for printing temperature, all control parameters adversely affected energy consumption and indirect CO2 emission. Moreover, printing the parts at the optimal conditions helped reduce energy consumption, indirect CO2 emission, and scrap weight and increase the production rate substantially indicating its enormous potential for improving process sustainability.
Parametric optimization for enhancing process sustainability: evidence from fused deposition modeling process
https://orcid.org/http://orcid.org/0000-0001-9494-6873
https://orcid.org/http://orcid.org/0000-0002-6430-3313
https://orcid.org/http://orcid.org/0000-0002-5446-8966
This study examines the process optimization potential for enhancing the sustainability of a manufacturing process, taking the fused deposition modeling process as a case study. First, the survey- and experiment-based approaches were applied to identify the process parameters and their operating ranges, respectively ensuring the desired level of dimensional deviation. Then the association of each control parameter, i.e., printing temperature, layer height, printing speed, and non-printing speed, with each response variable, i.e., electrical energy consumption, indirect CO2 gas emissions, scrap weight, and production rate, was determined, and used to set the optimization criteria. All control parameters had linear relationships with response variables. Except for printing temperature, all control parameters adversely affected energy consumption and indirect CO2 emission. Moreover, printing the parts at the optimal conditions helped reduce energy consumption, indirect CO2 emission, and scrap weight and increase the production rate substantially indicating its enormous potential for improving process sustainability.
Parametric optimization for enhancing process sustainability: evidence from fused deposition modeling process
Int J Interact Des Manuf
Khan, M. Muhshin Aziz (author) / Saha, Shanta (author) / Sayem, Ahmed (author)
2024-03-01
14 pages
Article (Journal)
Electronic Resource
English
Optimizing multiple process parameters in fused deposition modeling with particle swarm optimization
| Springer Verlag | 2020