An original criterion to identify optimum single staee, single phase torque converters geometry is proposed through definition of a number of candidate 'figures of merit', and use of Non-Linear Programming (NLP) techniques to perform their maximization. The mathematical model, inclusive of two-dimensional flow effects through converter bladings, is briefly considered while its implementation into NLP language in terms of an 'objective function' to be maximized subject to a set of constraints is discussed. NLP solutions, based on a FORTRAN IV Code (COOP 77) prepared by the authors, are reported. (A)

Hydraulic Torque Converters Design / Zarotti, G. L.; Nervegna, Nicola. - 12:(1977), pp. 386-390. (Intervento presentato al convegno 6th Australasian Hydraulics and Fluid Mechanics Conference tenutosi a Adelaide (Australia) nel 5-9 December 1977).

Hydraulic Torque Converters Design

NERVEGNA, Nicola
1977

Abstract

An original criterion to identify optimum single staee, single phase torque converters geometry is proposed through definition of a number of candidate 'figures of merit', and use of Non-Linear Programming (NLP) techniques to perform their maximization. The mathematical model, inclusive of two-dimensional flow effects through converter bladings, is briefly considered while its implementation into NLP language in terms of an 'objective function' to be maximized subject to a set of constraints is discussed. NLP solutions, based on a FORTRAN IV Code (COOP 77) prepared by the authors, are reported. (A)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1831850
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