TY - GEN
T1 - Reducing distortion in simulated injection-molded wind turbine blades
AU - Tester, John T.
AU - Hargroder, Ty
PY - 2004
Y1 - 2004
N2 - The small wind turbine commercial market is very competitive and has small profit margins. Injection molding (IM) of plastic turbine blades is one means by which a higher cost component can be produced efficiently in large production volumes. However, establishing IM process parameters for the turbine blades is not an easy task; the long, thin shape of the blades tends to result in warped parts. Research conducted by Northern Arizona University Sustainable Energy Solutions group demonstrates how to reduce the amount of warp in the part through a combination of simulation and Design of Experiments (DOE) methodology. Two measures of warp were used: Tip deflection and an average warp parameter developed by the researchers. Based upon typical molding research, the governing parameters that affect the amount of warp are the mold temperature, melt temperature, injection pressure, and packing pressure. The results for a generic, small wind turbine blade show that overall warp in a blade can be minimized by seeking optimal IM parameters. Simulations were organized for a Central Composite Design; the resulting response surface was optimized for minimum warp, yielding the optimal process settings. For this particular blade shape and material, injection pressure was discovered not to be a major factor in warp. The maximum settings for packing pressure, melt temperature, and mold temperature were found to minimize warp.
AB - The small wind turbine commercial market is very competitive and has small profit margins. Injection molding (IM) of plastic turbine blades is one means by which a higher cost component can be produced efficiently in large production volumes. However, establishing IM process parameters for the turbine blades is not an easy task; the long, thin shape of the blades tends to result in warped parts. Research conducted by Northern Arizona University Sustainable Energy Solutions group demonstrates how to reduce the amount of warp in the part through a combination of simulation and Design of Experiments (DOE) methodology. Two measures of warp were used: Tip deflection and an average warp parameter developed by the researchers. Based upon typical molding research, the governing parameters that affect the amount of warp are the mold temperature, melt temperature, injection pressure, and packing pressure. The results for a generic, small wind turbine blade show that overall warp in a blade can be minimized by seeking optimal IM parameters. Simulations were organized for a Central Composite Design; the resulting response surface was optimized for minimum warp, yielding the optimal process settings. For this particular blade shape and material, injection pressure was discovered not to be a major factor in warp. The maximum settings for packing pressure, melt temperature, and mold temperature were found to minimize warp.
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M3 - Conference contribution
AN - SCOPUS:3142701208
SN - 1563476673
SN - 9781563476679
T3 - Collection of ASME Wind Energy Symposium Technical Papers AIAA Aerospace Sciences Meeting and Exhibit
SP - 24
EP - 31
BT - Collection of ASME Wind Energy Symposium Technical Papers AIAA Aerospace Sciences Meeting and Exhibit
T2 - Collection of the 2004 ASME Wind Energy Symposium Technical Papers at the 42nd AIAA Aerospace Sciences Meeting and Exhibit
Y2 - 5 January 2004 through 8 January 2004
ER -