Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 1, 2024Physics of Fluids

Data-driven framework for prediction and optimization of gas turbine blade film cooling

View Full Paper
Ask AI
Bookmark
Share

Authors

YWYaning WangZWZirui WangSQShuyang Qian

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e761d0b6db6435876d8288https://doi.org/10.1063/5.0186087
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs2017 · 301 citations
  2. 2Knowledge-based connectionism for revising domain theories1993 · 146 citations
  3. 3Correlation of Film-Cooling Effectiveness From Thermographic Measurements at Enginelike Conditions2002 · 160 citations
  4. 4Gradient-based learning applied to document recognition1998 · 59,997 citations
  5. 5Influence of the Hole Length-to-Diameter Ratio on Film Cooling With Cylindrical Holes1999 · 138 citations