C
Chirag Trivedi
Researcher at Norwegian University of Science and Technology
Publications - 51
Citations - 1313
Chirag Trivedi is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Francis turbine & Turbine. The author has an hindex of 19, co-authored 48 publications receiving 1010 citations. Previous affiliations of Chirag Trivedi include Luleå University of Technology & Indian Institute of Technology Roorkee.
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Journal ArticleDOI
Effect of transients on Francis turbine runner life: a review
TL;DR: Turbine start–stop cannot be avoided, but runner life may be improved by minimizing the unfavourable pressure loading on the blades during transients through strategic movement of guide vanes.
Journal ArticleDOI
Fluid-structure interactions in Francis turbines: A perspective review
Chirag Trivedi,Michel Cervantes +1 more
TL;DR: This work states that to attain a reliable and safe runner design, understanding of the structural response to flow-induced excitations is important.
Journal ArticleDOI
Transient Pressure Measurements on a High Head Model Francis Turbine During Emergency Shutdown, Total Load Rejection, and Runaway
Chirag Trivedi,Chirag Trivedi,Michel Cervantes,Michel Cervantes,Bhupendra K. Gandhi,Ole Gunnar Dahlhaug +5 more
TL;DR: In this article, a scale model of a Francis turbine prototype (specific speed = 0.27) during an emergency shutdown with a transition into total load rejection was used to investigate the effect of high-amplitude, unsteady pressure on the turbine runner.
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Numerical Techniques Applied to Hydraulic Turbines: A Perspective Review
TL;DR: In this paper, applied numerical techniques and flow modeling approaches to simulate the hydraulic turbines are discussed, and the performance of the applied numerical models and turbulence modeling with respect to the operating conditions are discussed.
Journal ArticleDOI
Experimental and Numerical Studies of a High-Head Francis Turbine: A Review of the Francis-99 Test Case
TL;DR: In this paper, Computational fluid dynamic (CFD) techniques have played an important role in the design and development of such turbines, which are widely used to meet real-time electricity demands.