
Chandra Sekhar Kommineni
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Chandra Sekhar Kommineni
- Bis heute 4 Jahre und 1 Monat, seit Okt. 2021
PhD Research associate
INSA hautes des France
Key Responsibilities: • Designed and conducted controlled experimental campaigns in a water tunnel to investigate wake dynamics across multiple flow regimes. • Applied LDV and PIV techniques for high-resolution measurement of wake dynamics. • Developed MATLAB-based image and signal processing tools, such as statistical, spectral, proper orthogonal decomposition (POD), and empirical mode decomposition tools (EMD), from scratch for turbulence characterisation and advanced wake analysis.
- 1 Jahr und 10 Monate, Juli 2019 - Apr. 2021
Aerothermal Engineer
Metapower UK
• Researched unsteady flow effects on turbocharger turbine performance, addressing limitations of the quasisteady assumption in engine–turbocharger matching. • Developed 0D/1D unsteady turbocharger models using Python and Matlab. • Conducted aerothermal performance modelling and evaluation of turbochargers. • Performed data analysis and prepared technical documentation to support design and validation.
- 1 Jahr und 3 Monate, Okt. 2017 - Dez. 2018
Turbocharger Research engineer
CRITTM2a
• Conducted experimental studies of single-entry and twin-entry turbochargers on gas stands, developing steady and unsteady performance maps. • Managed test bench operations: scheduling, technician coordination, instrumentation setup, and pulsating-flow test execution. • Performed data acquisition using LabVIEW and NI-DAQ modules. • Applied signal processing and data analysis in MATLAB and Uniplot to extract performance metrics.
- 6 Monate, Apr. 2017 - Sep. 2017
Research Intern
CMT motores termicos, Valencia
• Conducted performance testing of BorgWarner twin-entry turbochargers on a gas stand. • Performed turbocharger testing on a custom-designed test bench for heat-transfer characterization. • Developed a 0D/1D turbocharger heat-transfer code in MATLAB for simulation and validation. • Executed 0D/1D simulations using GT-Power and the in-house developed OpenWAM software. • Applied advanced data analysis and non-linear optimization techniques in MATLAB to improve model accuracy
Sprachen
Englisch
Fließend
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