TY - JOUR
T1 - Resource efficiency and environmental impact of fiber reinforced plastic processing technologies
AU - Hohmann, Andrea
AU - Albrecht, Stefan
AU - Lindner, Jan Paul
AU - Voringer, Bernhard
AU - Wehner, Daniel
AU - Drechsler, Klaus
AU - Leistner, Philip
N1 - Publisher Copyright:
© 2018, German Academic Society for Production Engineering (WGP).
PY - 2018/6/1
Y1 - 2018/6/1
N2 - The process energy demand and the environmental indicators of two carbon fiber reinforced plastic process chains have been investigated. More precisely, the impact of different production set-ups for a standard textile preforming process using bindered non-crimp fabric (NCF) and a material efficient 2D dry-fiber-placement (DFP) process are analyzed. Both 2D preforms are activated by an infrared heating system and formed in a press. The resin-transfer-molding (RTM) technology is selected for subsequent processing. Within a defined process window, the main parameters influencing the process energy demand are identified. Varying all parameters, a reduction of 77% or an increase of 700% of the electric energy consumption compared to a reference production set-up is possible, mainly depending on part size, thickness, and curing time. For a reference production set-up, carbon fiber production dominates the environmental indicators in the product manufacturing phase with a share of around 72–80% of the total global warming potential (GWP). Thus, the reduction of production waste, energy efficient carbon fiber production, and the use of renewable energy resources are the key environmental improvement levers. For the production of small and thin parts in combination with long curing cycles, the influence of the processing technologies is more pronounced. Whereas for a reference production set-up, only 10% (NCF–RTM) and 15% (DFP–RTM) of the total GWP are caused by the processing technologies, a production set-up leading to a high process energy demand results in a share of 40% (NCF–RTM) and 49% (DFP–RTM), respectively.
AB - The process energy demand and the environmental indicators of two carbon fiber reinforced plastic process chains have been investigated. More precisely, the impact of different production set-ups for a standard textile preforming process using bindered non-crimp fabric (NCF) and a material efficient 2D dry-fiber-placement (DFP) process are analyzed. Both 2D preforms are activated by an infrared heating system and formed in a press. The resin-transfer-molding (RTM) technology is selected for subsequent processing. Within a defined process window, the main parameters influencing the process energy demand are identified. Varying all parameters, a reduction of 77% or an increase of 700% of the electric energy consumption compared to a reference production set-up is possible, mainly depending on part size, thickness, and curing time. For a reference production set-up, carbon fiber production dominates the environmental indicators in the product manufacturing phase with a share of around 72–80% of the total global warming potential (GWP). Thus, the reduction of production waste, energy efficient carbon fiber production, and the use of renewable energy resources are the key environmental improvement levers. For the production of small and thin parts in combination with long curing cycles, the influence of the processing technologies is more pronounced. Whereas for a reference production set-up, only 10% (NCF–RTM) and 15% (DFP–RTM) of the total GWP are caused by the processing technologies, a production set-up leading to a high process energy demand results in a share of 40% (NCF–RTM) and 49% (DFP–RTM), respectively.
KW - Carbon fiber reinforced plastics (CFRP)
KW - Dry-fiber-placement (DFP)
KW - Energy analysis
KW - Life cycle assessment (LCA)
KW - Resin-transfer-molding (RTM)
UR - http://www.scopus.com/inward/record.url?scp=85041220506&partnerID=8YFLogxK
U2 - 10.1007/s11740-018-0802-7
DO - 10.1007/s11740-018-0802-7
M3 - Article
AN - SCOPUS:85041220506
SN - 0944-6524
VL - 12
SP - 405
EP - 417
JO - Production Engineering
JF - Production Engineering
IS - 3-4
ER -