Yingzhao Wang

Papers

Total Citations

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About

Yingzhao Wang is a researcher specializing in computational fluid dynamics (CFD) and firefighting robotics, with a focus on optimizing jet flow for precise fire suppression in resource-constrained environments. Their most-cited work, "CFD-based numerical simulation method of fire-fighting robot jet" (2021), addresses a critical challenge in automated firefighting: achieving accurate jet control for robots and unmanned aerial vehicles operating with limited water supplies. By employing CFD simulations to model jet flow fields, Wang’s research provides a foundational framework for improving the efficiency and accuracy of firefighting systems, directly impacting the design of autonomous extinguishing technologies. While their citation count (3) reflects a niche but emerging field, the work’s practical implications for safety and robotics are significant. Wang’s contributions bridge fluid dynamics and robotic control, offering insights that could enhance real-world firefighting operations. Their research underscores a commitment to solving pressing engineering problems, positioning them as a promising voice in the intersection of simulation, robotics, and disaster response.