Identifying Interfaces in Engineering Systems

Abstract

The behavior of engineering systems arises as a direct result of interactions and interfaces between components. Whereas many of these intercomponent dependencies are easily identifiable, many others are obscure, often occurring as a result of technical interactions between remote entities. The identification and management of system interactions forms a major part of the systems engineering practices for system architecture, but methodologies for effective identification and management of interactions arising as a result of technical interfaces are still problematic. A methodology is developed for aircraft systems that identifies analysis-dependent system linkages. The result is the capability to assess the effect of analysis fidelity on system design. Nomenclature= coordinates in the x plane y n = coordinates in the y plane α i = induced angle of attack α eff = effective angle of attack α n = angle of attack = circulation ρ = density φ le = leading edge radius Generalized System Parameters A( ) = operation on a set c s = system characteristics D( ) = set of input parameters, ζ F( ) = set of output parameters, ξ f objf = objective function p s = system parameters ζ = input parameter set ξ = output parameter set

Aircraft cost modelling using the genetic causal technique within a systems engineering approach

“…In order to address this issue, Price et al (2005) (20) introduced the concept of a system technical architecture, an additional view of the system in which the technical linkages induced by system analysis through the design phases could be identified, and the effect of order to tailor it to their specific financial needs and business environment. However, as well as historical data, the calibration process requires expert judgment, assumptions and opinion (10)(11)(12)(13) .…”

“…4. Each of these relationships provides an upper and lower engineering framework have been proposed (20)(21)(22)(23) to facilitate this feed of data through the levels and across the systems, enabling systems sensitivities (24) and performance to be measured more reliably. Figure 6 illustrates the multi-level, multi-fidelity framework being developed to achieve design synthesis.…”

Assessment of the Orion-SLS Interface Management Process in Achieving the EIA 731.1 Systems Engineering Capability Model Generic Practices Level 3 Criteria

“…The importance of technical interfaces is a sine qua non in the engineering of complex systems in aerospace. As stated by Price 1 (in an equivalent aviation context):…”