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Three phases of crew-centered design evolution at Lockheed Martin Tactical Aircraft Systems are described in which organizational, technology, and process influences are considered. Lessons learned in each phase are highlighted. The first phase focuses on the crew-centered design process for the F-16A tactical fighter prior to 1985. During this period a sizable human factors group tackled crew-centered issues in design. In the second phase, spanning a period from 1986 to 1996, the Pilot-Vehicle Interface group refined the aircrew-centered design process for product improvements. The third phase of crew-centered design focuses on the development of formalized processes and tools which can be applied to the design of present and future advanced fighter systems. In this phase, from 1997 and beyond, crew-centered design processes address operation, maintenance, and manufacturing interests across several engineering design disciplines.

Efficient aftertreatment management requires accurate sensing of both particulate filter soot and ash levels for optimized feedback control. Currently a combination of pressure drop measurements and predictive models are used to indirectly estimate the loading state of the filter. Accurate determination of filter soot loading levels is challenging under certain operating conditions, particularly following partial regeneration events and at low flow rate (idle) conditions. This work applied radio frequency (RF)-based sensors to provide a direct measure of the particulate filter soot levels in situ. Direct measurements of the filter loading state enable advanced feedback controls to optimize the combined engine and aftertreatment system for improved DPF management. This study instrumented several cordierite and aluminum titanate diesel particulate filters with RF sensors. The systems were tested on a range of light- and heavy-duty applications, which included on- and off-road engines.

Radio frequency (RF)-based sensors provide a direct measure of the particulate filter loading state. In contrast to particulate matter (PM) sensors, which monitor the concentration of PM in the exhaust gas stream for on-board diagnostics purposes, RF sensors have historically been applied to monitor and control the particulate filter regeneration process. This work developed an RF-based particulate filter control system utilizing both conventional and fast response RF sensors, and evaluated the feasibility of applying fast-response RF sensors to provide a real-time measurement of engine-out PM emissions. Testing with a light-duty diesel engine equipped with fast response RF sensors investigated the potential to utilize the particulate filter itself as an engine-out soot sensor.

Two critical milestones that must be achieved during concept design are 1) definition of a product architecture that meets performance, producibility, and strategic objectives, and 2) estimation of the integration risk in each candidate concept. This paper addresses these issues by describing the role played by the producibility members of an Integrated Product Team (IPT) during concept design. Our focus is on the execution of the what we call the “chain method”, which illustrates the structure of function delivery in a concept in a simple pictorial way and helps the IPT to understand the advantages or disadvantages of using a modular or an integral product architecture. The producibility members play a central role in capturing and evaluating the chains for different candidate concepts and decompositions.

Design and manufacturing engineers engaged in the conceptual and detail design stages of an aircraft have an ever increases number of tools and resources. However, these tools deal mainly with the physical structure and properties of the aircraft. Recently an increased effort has been made to take into account the producibil-ity and cost of an aircraft during the design phase. One of the tools being used by Lockheed Martin Tactical Aircraft Systems to accomplish this is Discrete Event Simulation. This form of simulation models dynamic production, information, and material flows. It enables an engineer to have greater visibility into the effects that he/ she makes on the overall aircraft production system. Machines and processes with different cost, speed, quality, and maintenance properties can be analyzed with respect to the system to justify their inclusion.