Design Space Exploration Studies on the 777-Shaped Film Cooling Hole With Lattice Boltzmann Method

Abstract Shaped film cooling holes play an important role in cooling of turbine blades. There have been very limited studies on design exploration of film cooling holes with high-fidelity numerical approaches. In this study, Lattice Boltzmann Method (LBM)-based numerical approach is used to perform a design of experiments study on the publicly available 777-shaped film cooling hole model. The geometric design parameters varied for this study were the forward expansion angle, the lateral expansion angle, and the slot injection angle. To establish a baseline reference solution, validation studies were first performed on the baseline design, and the results indicated excellent agreement with experimental test data. For the design studies, simulations were done on a coarser grid to achieve faster turnaround time. Design studies revealed that the best performing hole designs were with larger forward and lateral expansion angles while higher slot injection angles decreased the film cooling hole performance. It was also observed that for lower blowing ratios, the selected design parameters had minimal impact on the film cooling hole performance. Simulations were also performed at a higher mainstream Mach number and it was observed that design trends at lower mainstream Mach number studies also held true at higher Mach number. The cost of executing the DOE on relatively coarser grid sizes but with a high-fidelity approach like LBM appears to be feasible by industry standards.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1115/gt2025-153331
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design Space Exploration Studies on the 777-Shaped Film Cooling Hole With Lattice Boltzmann Method

Avinash Jammalamadaka, Gregory M. Laskowski
Lattice Boltzmann Simulation Studies
article

Design Space Exploration Studies on the 777-Shaped Film Cooling Hole With Lattice Boltzmann Method

Avinash Jammalamadaka, Gregory M. Laskowski
article en

Abstract

Abstract Shaped film cooling holes play an important role in cooling of turbine blades. There have been very limited studies on design exploration of film cooling holes with high-fidelity numerical approaches. In this study, Lattice Boltzmann Method (LBM)-based numerical approach is used to perform a design of experiments study on the publicly available 777-shaped film cooling hole model. The geometric design parameters varied for this study were the forward expansion angle, the lateral expansion angle, and the slot injection angle. To establish a baseline reference solution, validation studies were first performed on the baseline design, and the results indicated excellent agreement with experimental test data. For the design studies, simulations were done on a coarser grid to achieve faster turnaround time. Design studies revealed that the best performing hole designs were with larger forward and lateral expansion angles while higher slot injection angles decreased the film cooling hole performance. It was also observed that for lower blowing ratios, the selected design parameters had minimal impact on the film cooling hole performance. Simulations were also performed at a higher mainstream Mach number and it was observed that design trends at lower mainstream Mach number studies also held true at higher Mach number. The cost of executing the DOE on relatively coarser grid sizes but with a high-fidelity approach like LBM appears to be feasible by industry standards.

Dassault Systèmes (United States) (US), Dassault Systèmes (France) (FR)
Affordable and clean energy
Openalex Percentile: Top 78%
Lattice Boltzmann Simulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.