Expert decision support system for costing of aircraft gas turbine engine

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Description/Abstract

This paper presents the role of performance parameters of
an aircraft gas turbine engine in influencing the configuration of
system/sub-system and related costs at the preliminary design
phase. An expert decision support system is provided that
employs a hybrid decision tree inference mechanism to provide
cost estimates for configurations of a system/sub-system based
on the specifications of the performance parameters by the user.
The inference mechanism provides a way of dealing with
certain and uncertain knowledge extracted from experts for
decision making. This assists the designer at the preliminary
phase of design in evaluating decisions on the specification of
performance parameters by considering their cost influence.
The designer can optimize the system/sub-system configuration
and performance parameters based on cost. A case study
demonstrating the research applied to a Rolls-Royce turbojet
engine compressor sub-system is presented.