Strategic Quality Management of Aero Gas Turbine Engines, Applying Functional Resonance Analysis Method

Thomas, Johney; Davis, Antonio; Samuel, Mathews P.

doi:10.1007/978-981-15-5039-3_4

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…Aerospace 2020, 7, x FOR PEER REVIEW 4 of 24 (1) The fail-safe principle [22] mandates that the system design should prevent or mitigate the unsafe consequences of the failure of a system; (2) The safety margin principle [23] requires that features be put in place to maintain the operational conditions and the associated hazard level at some "distance" away from the estimated critical hazard threshold or accident-triggering threshold; (3) The ungraduated response principle [24] posits that the first course of action to explore for accident prevention and mitigation is the possibility of eliminating a hazard altogether, regardless of the extent of its belligerence, using creativity and technical ingenuity (4) The defence-in-depth principle [25][26][27] calls for safety protection by means of multiple lines of defences or safety barriers along the potential accident sequences. (5) The observability-in-depth principle [26,27] requires that various features be put in place to observe and monitor for the system state and breaches of any safety barrier, and reliably provide this feedback to the operators, so that all safety-degrading events or states (that the safety barriers are meant to protect against) are observable.…”

Section: System Safety Principles and The Seven-principles-frameworkmentioning

confidence: 99%

“…The FRAMED-IN-FRAM ® diagram is an improved version of the functional resonance analysis method (FRAM) diagram [32], developed by the authors. Interested readers are referred to Thomas, et al [1,2] for further information on the FRAMED-IN-FRAM ® diagram. The FRAMED-IN-FRAM ® diagram for the SRK framework, presented in Figure 6, shows how the behaviour and control, based on the three levels of skill, rule and knowledge, works through signals, signs and symbols of perceptual, conceptual and explicit nature respectively.…”

Section: Skill-rule-knowledge Framework and Macro-meso-micro Perspective Levelsmentioning

confidence: 99%

“…The case study presented in an earlier technical article by the authors [1] can be shown as an example of the application of the concept of macro-meso-micro levels for detailed analysis. The case study pertains to the crack developed at the shear neck of the drive shaft of the oil cooling system (OCS shaft) of a turbo-shaft engine.…”

Section: The Micro-meso-macro Levels Of the Axis Of Perspective In A Typical Case Studymentioning

confidence: 99%

“…The erroneous reading by the faulty AoA sensor threw up multiple and confusing signals to the aircrew in the cockpit, and the pilots were not trained to handle such an automation surprise. This vicious cycle of the automatic 'AND' by the MCAS and the manual 'ANU' by the pilot continued many times, and finally the pilot had to give up the control to the MCAS automation under duress, causing the aircraft to plunge downwards and crash in both the disaster cases, as shown in the "FRAMED-IN-FRAM ® diagram" (Thomas et al [1,2]), given in Figure 11.…”

Section: The Intent-execution-manifestation Continuum Of the Axis Of Perception In A Typical Case Studymentioning

confidence: 99%

“…This vicious cycle of the automatic 'AND' by the MCAS and the manual 'ANU' by the pilot continued many times, and finally the pilot had to give up the control to the MCAS automation under duress, causing the aircraft to plunge downwards and crash in both the disaster cases, as shown in the "FRAMED-IN-FRAM ® diagram" (Thomas et al [1,2]), given in Figure 11. The case study shows the disconnect between the 'intent' of the designers, the 'execution' by the MCAS and the pilot, and finally the 'manifestation' of the disasters due to the disconnect.…”

Section: The Intent-execution-manifestation Continuum Of the Axis Of Perception In A Typical Case Studymentioning

confidence: 99%

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Integration-In-Totality: The 7th System Safety Principle Based on Systems Thinking in Aerospace Safety

2020

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Safety is of paramount concern in aerospace and aviation. Safety has evolved over the years, from the technical era to the human-factors era and organizational era, and finally to the present era of systems-thinking. Building upon three foundational concepts of systems-thinking, a new safety concept called “integration-in-totality principle” is propounded in this article as part of a “seven-principles-framework of system safety”, to act as an integrated framework to visualize and model system safety. The integration-in-totality principle concept addresses the need to have a holistic ‘vertical and horizontal integration’, which is a key tenet of systems thinking. The integration-in-totality principle is illustrated and elucidated with the help of a simple “Rubik’s cube model of integration-in-totality principle” with three orthogonal axes, the ‘axis of perspective’ of vertical integration, and the two ‘axes of perception and performance’ of horizontal integration. Safety analysis along the three axes with a ‘bidirectional synthesis’ and ‘continuum approach’ is further elaborated with relevant case studies, one among them related to the Boeing 737 MAX aircraft twin disasters. Safety is directly linked to quality, reliability and risk, through a self-reinforcing reflexive paradigm, and airworthiness assurance is the process through which safety concepts are embedded in a multidisciplinary aviation environment where the system of systems is seamlessly operating. The article explains how the system safety principle of integration-in-totality is related to reliability and airworthiness of an aerospace system with the help of the ‘V-model of systems engineering’. The article also establishes the linkage between integration-in-totality principle and strategic quality management, thus bridging the gap between two parallel fields of knowledge.

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Section: System Safety Principles and The Seven-principles-frameworkmentioning

confidence: 99%

Section: Skill-rule-knowledge Framework and Macro-meso-micro Perspective Levelsmentioning

confidence: 99%

Section: The Micro-meso-macro Levels Of the Axis Of Perspective In A Typical Case Studymentioning

confidence: 99%

Section: The Intent-execution-manifestation Continuum Of the Axis Of Perception In A Typical Case Studymentioning

confidence: 99%

Section: The Intent-execution-manifestation Continuum Of the Axis Of Perception In A Typical Case Studymentioning

confidence: 99%

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Integration-In-Totality: The 7th System Safety Principle Based on Systems Thinking in Aerospace Safety

2020

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Risk Analysis Related to the Corrosıon of Atmospheric Storage Tanks: A Multimethodological Approach Using the FRAM and the ELECTRE-MOr Methods

Moreıra

Costa

Mainier

et al. 2022

Pervasive Computing and Social Networking

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Probabilistic fatigue life prediction of an aero-engine turbine shaft

Huang

et al. 2022

AEAT

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Purpose Aero-engine components endure combined high and low cycle fatigue (CCF) loading during service, which has attracted more research attention in recent years. This study aims to construct a new framework for the prediction of probabilistic fatigue life and reliability evaluation of an aero-engine turbine shaft under CCF loading if considering the material uncertainty. Design/methodology/approach To study the CCF failure of the aero-engine turbine shaft, a CCF test is carried out. An improved damage accumulation model is first introduced to predict the CCF life and present high prediction accuracy in the CCF loading situation based on the test. Then, the probabilistic fatigue life of the turbine shaft is predicted based on the finite element analysis and Monte Carlo analysis, where the material uncertainty is taken into account. At last, the reliability evaluation of the turbine shaft is conducted by stress-strength interference models based on an improved damage accumulation model. Findings The results indicate that predictions agree well with the tested data. The improved damage accumulation model can accurately predict the CCF life because of interaction damage between low cycle fatigue loading and high cycle fatigue loading. As a result, a framework is available for accurate probabilistic fatigue life prediction and reliability evaluation. Practical implications The proposed framework and the presented testing in this study show high efficiency on probabilistic CCF fatigue life prediction and can provide technical support for fatigue optimization of the turbine shaft. Originality/value The novelty of this work is that CCF loading and material uncertainty are considered in probabilistic fatigue life prediction.

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Strategic Quality Management of Aero Gas Turbine Engines, Applying Functional Resonance Analysis Method

Cited by 5 publications

References 4 publications

Integration-In-Totality: The 7th System Safety Principle Based on Systems Thinking in Aerospace Safety

Integration-In-Totality: The 7th System Safety Principle Based on Systems Thinking in Aerospace Safety

Risk Analysis Related to the Corrosıon of Atmospheric Storage Tanks: A Multimethodological Approach Using the FRAM and the ELECTRE-MOr Methods

Probabilistic fatigue life prediction of an aero-engine turbine shaft

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