TY - GEN
T1 - Numerical optimization, characterization, and experimental investigation of additively manufactured communicating microchannels
AU - Kirsch, Kathryn L.
AU - Thole, Karen A.
N1 - Funding Information:
This work was accomplished because of the financial support from the National Science Foundation; the material in this manuscript was supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE1255832. The authors would also like to thank Corey Dickman and Griffin Jones at Penn State’s CIMP-3D laboratory for their efforts in manufacturing all test coupons, as well as Jacob Snyder in the Penn State START laboratory for CT scanning all test pieces.
Publisher Copyright:
Copyright © 2018 ASME.
PY - 2018
Y1 - 2018
N2 - The degree of complexity in internal cooling designs is tied to the capabilities of the manufacturing process. Additive manufacturing grants designers increased freedom while offering adequate reproducibility of micro-sized, unconventional features that can be used to cool the skin of gas turbine components. One such desirable feature can be sourced from nature; a common characteristic of natural transport systems is a network of communicating channels. In an effort to create an engineered design that utilizes the benefits of those natural systems, the current study presents wavy microchannels that were connected using branches. Two different wavelength baseline configurations were designed, then each were numerically optimized using a commercial adjointbased method. Three objective functions were posed to (1) minimize pressure loss, (2) maximize heat transfer, and (3) maximize the ratio of heat transfer to pressure loss. All baseline and optimized microchannels were manufactured using Laser Powder Bed Fusion for experimental investigation; pressure loss and heat transfer data were collected over a range of Reynolds numbers. The additive manufacturing process reproduced the desired optimized geometries faithfully. Surface roughness, however, strongly influenced the experimental results; successful replication of the intended flow and heat transfer performance was tied to the optimized design intent. Even still, certain test coupons yielded performances that correlated well with the simulation results.
AB - The degree of complexity in internal cooling designs is tied to the capabilities of the manufacturing process. Additive manufacturing grants designers increased freedom while offering adequate reproducibility of micro-sized, unconventional features that can be used to cool the skin of gas turbine components. One such desirable feature can be sourced from nature; a common characteristic of natural transport systems is a network of communicating channels. In an effort to create an engineered design that utilizes the benefits of those natural systems, the current study presents wavy microchannels that were connected using branches. Two different wavelength baseline configurations were designed, then each were numerically optimized using a commercial adjointbased method. Three objective functions were posed to (1) minimize pressure loss, (2) maximize heat transfer, and (3) maximize the ratio of heat transfer to pressure loss. All baseline and optimized microchannels were manufactured using Laser Powder Bed Fusion for experimental investigation; pressure loss and heat transfer data were collected over a range of Reynolds numbers. The additive manufacturing process reproduced the desired optimized geometries faithfully. Surface roughness, however, strongly influenced the experimental results; successful replication of the intended flow and heat transfer performance was tied to the optimized design intent. Even still, certain test coupons yielded performances that correlated well with the simulation results.
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U2 - 10.1115/GT2018-75429
DO - 10.1115/GT2018-75429
M3 - Conference contribution
AN - SCOPUS:85054060321
SN - 9780791851098
T3 - Proceedings of the ASME Turbo Expo
BT - Heat Transfer
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, GT 2018
Y2 - 11 June 2018 through 15 June 2018
ER -