Technology Impact Forecasting for Multi-Functional Composites

Multi-functional composites offer a possible solution to the conflicting design goals of making new aircraft lighter, stronger, faster, and more environmentally sustainable.

To survive within today's stringent economic environment, aircraft design, particularly military aircraft design, has been experiencing a paradigm shift from an emphasis on design for optimum performance to design for system effectiveness. As a consequence, designers and manufacturers are increasingly considering the addition of new technologies to aircraft design to reduce their cost, increase their operating capacities, and optimize new capabilities.

For next generation aircraft design, there are many innovative technologies to be developed that are financially constrained. However, infusion of a new technology (or technologies) are leading to another challenge: how does this new technology affect the aircraft system both in capability and economically?

This is especially difficult because this new technology may not be completely defined until product implementation and service exposure occur. But in today's tight economic and limited resources environment, it is not possible to allow the designers to try out every technology on the aircraft system as this will result in low efficiency, time consumption, and cost ineffectiveness. This issue is leading to another question: how to select an appropriate technology for the aircraft system before committing to the expense and risk of its full development?

Obviously, it is essential to understand the benefits and/or penalties of a new technology to the system response before it is selected in order to reduce the research risk and budget. Therefore, designers need a forecasting environment which is able to rapidly assess the technical feasibility and economic viability for a given system before the technology is selected.

In addition, the life cycle phases of an aircraft design include conceptual, preliminary, detailed design, production, service and retirement, as shown in the accompanying figure. In the conceptual phase of the aircraft design, the design freedom is fully open for designers, yet only limited information is available for the new aircraft design. However, as design decisions are made, the design freedom rapidly decreases, while cost commitments increase. Therefore, the key to success is “making educated decisions (increased knowledge) early on and maintaining the ability to carry along a family of alternatives (design freedom)”.

In response, a new methodology process known as Technology Impact Forecasting (TIF) has emerged, which is able to rapidly assesses the technical feasibility and economic viability of a new technology for a given system before this technology has been selected, thereby giving direction to further resource allocation. This technique was developed about ten years ago and has mainly been applied to aircraft systems. TIF is a probabilistic method that not only emphasizes modelling and assessing the impact of technology infusion on a given baseline system, but also seeks to bring more knowledge about the system at an earlier stage of the design process. Although a solid background in initial TIF methods has been developed to mid Technology Readiness Levels (TRL), it has never been applied to extremely low TRL technologies. Therefore, one of the goals of this research will be to assess whether the TIF process can be applied to low TRL technologies, or even to a notional technology, and still provide useful guidance for decision-makers, or whether the process needs to be substantially modified in order to be useful.

This work was done by Danielle Soban of Queen's University Belfast for the Air Force Research Laboratory. AFRL-0280



This Brief includes a Technical Support Package (TSP).
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Technology Impact Forecasting for Multi-Functional Composites

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Aerospace & Defense Technology Magazine

This article first appeared in the December, 2019 issue of Aerospace & Defense Technology Magazine (Vol. 4 No. 7).

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Overview

The document titled "Technology Impact Forecasting for Multi-Functional Composites" by Danielle Soban, produced by Queen's University Belfast, addresses the evolving demands in aircraft design, which require new materials to be lighter, stronger, faster, and more environmentally friendly while also reducing operating costs. The report emphasizes the potential of multi-functional composites as a solution to these conflicting design goals.

The research highlights several bespoke capabilities that multi-functional composites can offer, including self-healing properties, damage detection, enhanced lightning strike protection, morphing wing shapes, and ice detection and prevention. These capabilities are particularly relevant as the aerospace industry seeks to innovate and improve performance in response to stringent regulatory and market pressures.

A significant challenge identified in the report is the extraction of meaningful data from technologies that are still in their early stages of development (low Technology Readiness Level, or TRL). The report discusses the need for effective methods to statistically extrapolate data from small experimental datasets, which is crucial for making informed decisions in engineering design. The field of Technology Impact Forecasting (TIF) is still in its infancy, particularly within engineering disciplines like aerospace, and the report outlines the gaps in current methodologies.

Key areas of focus include the mathematical representation of the combined impacts of various multi-functional technologies and the merging of probability distributions for different technologies while maintaining their individual characteristics. The report also discusses the importance of knowledge extraction from technology experts to enhance the understanding and application of these emerging technologies.

The document is structured to provide a comprehensive overview of TIF methods, the application of these methods to self-healing materials, and the modeling environment used for analysis. It includes sections on baseline aircraft models, model assumptions, variables and responses, and results from various modeling scenarios, including self-healing and wing models.

In conclusion, the report underscores the importance of developing a robust framework for assessing the system-level impact of low TRL technologies, which can facilitate superior engineering design and guide resource allocation in aerospace innovation. The findings aim to contribute to the advancement of multi-functional composites and their integration into future aircraft designs.