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In a collaborative project between the CFMS and the NCC, both in Bristol, England, a closed loop manufacturing process has been demonstrated for the resin transfer molding (RTM) of high-quality composite components.

With an initial focus on critical fight management systems, the committee will evaluate applications for AI usage in aviation and aerospace and will propose standards to support implementation and certification

The new Advanced Technology and Training Center (ATTC), which opened yesterday after a ribbon-cutting ceremony, will focus on breakthroughs in condition-based maintenance and the intersection of artificial intelligence (AI), robotics, and automation within that domain.

This document discusses guidelines for the development of Aircraft Systems leveraging AI capabilities, taking into account the overall aircraft operating environment and functions. This includes validation of requirements and verification of the design implementation for certification and product assurance and guidelines with the assessment of safety.

The applications of Artificial Intelligence (AI) in the product design software, and the advancements in the Direct Digital Manufacturing (DDM) such as Additive Manufacturing have been leading the aerospace and automobile industries into the next level. ...The applications of Artificial Intelligence (AI) in the product design software, and the advancements in the Direct Digital Manufacturing (DDM) such as Additive Manufacturing have been leading the aerospace and automobile industries into the next level. AI assisted generative design helps the designers to reduce the weight of the structures without compensating the strength of the structures.

A “toolbox” approach to systematizing the application of AI tools is described. A recommended overall approach for successful application development is suggested.

However, this requires models based on the physics of the system to be built into the digital twin, links to data from sensors on the real live system, and sophisticated algorithms incorporating artificial intelligence (AI) and machine learning (ML). All of this can be used for integrated vehicle health management (IVHM) decisions, such as determining future failure, root cause analysis, and optimized energy performance. ...The Adoption of Digital Twins in Integrated Vehicle Health Management, however, still has a range of unsettled topics that cover technological reliability, data security and ownership, user presentation and interfaces, as well as certification of the digital twin’s system mechanics (i.e., AI, ML) for use in safety-critical applications. Click here to access the full SAE EDGETM Research Report portfolio.

The recent emergence of powerful artificial intelligence (AI) software development tools promises to reduce the time and effort associated with transforming an expert's knowledge into the operational software system required to implement automatic shutdown avoidance. ...To conduct an evaluation of the applicability of using AI techniques for life support processes, the National Aeronautics and Space Administration (NASA) developed a prototype expert system for automated fault detection, isolation, and correction of a regenerative carbon dioxide (CO2) removal subsystem.

Industries have been increasingly adopting AI based computer vision models for automated asset defect inspection. A challenging aspect within this domain is the inspection of composite assets consisting of multiple components, each of which is an object of interest for inspection, with its own structural variations, defect types and signatures.

Candidates included two electroplated zinc-nickel coating systems (Zn-Ni and Zn-Ni2) and an electrodeposited aluminum coating (AI). Testing results consistently showed that all three candidates were quite similar in the overall characteristics of fasteners coated with cadmium.

Artificial intelligence (AI), specifically machine learning technology, shows future promise in the VHM space, but it is not currently adequate by itself for high-accuracy analytics.

Innovations in Mobility: Aerospace Digital Summitaerospace mobility leaders convene leverage cutting-edge technology, design, develop safety measures, integrate current regulations, suggest future policies, expand markets, diversify revenue streams.

MIL-STD-1553, Aircraft Internal Time Division Command/Response Multiplex Data Bus, is a military standard which has become one of the basic standardization tools being used by the DOD for avionic interfaces. The standard describes the method of communication and the electrical interface requirements for devices using this standard. The 1 Mbps serial communication bus is the prime integration scheme for electronic devices in military avionics today. This paper addresses the application of the standard to military avionic integrations, describes the scope of the standard, the technical issues resolved in selecting the particular approach, and describes several military avionic examples using the standard.

The exploration of substantial money-saving areas of suitable usage for ECM (Electrochemical Metallizing) on aircraft components which are not in the purview of the original equipment manufacturer. The focus of the paper is upon the less spectacular maintenance opportunities rather than the much discussed repair of landing gear and engine components, all of which are strictly controlled by manufacturer's specifications because of safety considerations. Non-critical parts only require documented engineering specifications which are controlled by internal corporate engineering management. Our objective is to present areas of cost savings available to maintenance departments which have frequently been overlooked in the past. The perceived need is for some presentation of examples of applications which can be found in the normal day-to-day operations of aircraft maintenance activities so that similar opportunities may be identified and acted upon.

The Raytheon Company is testing a new artificial intelligence (AI) tool developed to help determine when the multi-mode radar installed on U.S. Air Force CV-22 tiltrotor aircraft is in need of service.

This document does not prescribe specific technologies or methodologies but rather provides guidelines applicable to a range of prognostic tools, from traditional physics-based models to advanced Artificial Intelligence (AI) / Machine-Learning (ML) based algorithms. It is designed to be adaptable and generic, accommodating the evolving nature of prognostic technologies in aviation maintenance.

The paper deals with some aspects of the KOH electrolysis process, with the water electrolysis system technical data obtained on the MIR space station presented, alkali electrolysis problems are discussed with trends of electrolysis system development, some test results of solid polymer electrolyzers developed at NIICHIMMASH are presented.

Major improvements in gas-turbine engine life management and diagnostics can be achieved using artificial intelligence. More effective use of data collected in flight will be possible, post flight maintenance will be expedited, and unnecessary engine removals eliminated. Most importantly, real-time measurement of life consumption would enable the safe life of fracture critical components to be fully used before their retirement. A comprehensive on-board life measurement and diagnostics system for gas-turbine engines is necessary to support probabilistic design and life prediction methodologies for gas turbine engines and the introduction of two-level maintenance in the Air Force.

A concept of LSS building for planetary stations is suggested on the basis of experience in the development, research and testing of physical/chemical regenerative LSS for long-duration ground-based bio-technical complexes of habitat support and for orbiting space stations. A gradual transition from integrated physical/chemical regenerative LSS to hybrid integrated physical/chemical and bio-technical LSS and finally to integrated bio-technical regenerative LSS, is suggested. It is shown that at all phases of integrated LSS development, the systems based on physical/chemical processes will be critical for correlating the interfaces between the biological components that process the products obtained in the bio-components, and enabling the vitality of integrated LSS under emergency situations. The interface of integrated LSS with base power supply system is outlined.

This SAE Aerospace Recommended Practice (ARP) examines the whole construct of an Engine Health Management (EHM) system. This keystone document gives a top-level view and addresses EHM description, benefits, and capabilities, and provides examples. This ARP purposely addresses a wide range of EHM architectures to demonstrate possible EHM design options. This ARP is not intended as a legal document and does not provide detailed implementation steps, but does address general implementation concerns and potential benefits. Other SAE documents (Aerospace Standards, Aerospace Recommended Practices, and Aerospace Information Reports) address specific component specifications, procedures and "lessons learned".