The design of turbochargers for modern automotive applications requires the solution of a highly constrained problem in which targets of extended operative range and performance are coupled with the need of improved synergies with surrounding engine subsystems. The optimization of Variable Geometry Turbines (VGT) demands a multidisciplinary and multipoint approach aimed at improving the machine efficiency while complying with the restrictions imposed by the wide thermal spectrum experienced during various driving conditions. The present work focuses on the application of CHT analysis to the optimization of VGT turbochargers by introduction of thermal evaluations in an adjoint-based shape optimization framework.
Turbocharger design and optimization by adjoint method coupled with CHT analysis / Racca, Alberto; Casalino, Lorenzo; Arts, Tony; Verstraete, Tom. - STAMPA. - (2017), pp. 269-269. (Intervento presentato al convegno Symposium of VKI PhD Research 2017 tenutosi a Sint-Genesius-Rode (Belgium) nel March 1st 2017 to March 3rd 2017).
Turbocharger design and optimization by adjoint method coupled with CHT analysis
RACCA, ALBERTO;Casalino, Lorenzo;
2017
Abstract
The design of turbochargers for modern automotive applications requires the solution of a highly constrained problem in which targets of extended operative range and performance are coupled with the need of improved synergies with surrounding engine subsystems. The optimization of Variable Geometry Turbines (VGT) demands a multidisciplinary and multipoint approach aimed at improving the machine efficiency while complying with the restrictions imposed by the wide thermal spectrum experienced during various driving conditions. The present work focuses on the application of CHT analysis to the optimization of VGT turbochargers by introduction of thermal evaluations in an adjoint-based shape optimization framework.File | Dimensione | Formato | |
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TURBOCHARGER DESIGN AND OPTIMIZATION BY ADJOINT METHOD COUPLED WITH CHT ANALYSIS.pdf
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Descrizione: Abstract of Poster Session in "Symposium of VKI PhD Research 2017"
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https://hdl.handle.net/11583/2711996
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