Technological Processes and Quality Control in Aircraft Engine Maintenance

Dmitriev, Sergiy; Burlakov, V. V.; Popov, Oleksandr; Popov, Dmytro

doi:10.3846/16487788.2015.1107306

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…Under the prism of this study, there is a lack of understanding that maintainability, reliability, and risk, in the comprehension presented by (Dhillon 2006) and (Smith 2005) mentioned above, deal with probabilities as an objective characteristic of an engineering system in the broadest sense, thus, losing from the sight the importance of individuals' subjective characteristics which are the preferences of alternatives. Now, considering the topical problems of the aviation industry in more detail, it should be noted that this fact ought to be taken into account when carrying out aircraft maintenance (Dmitriev et al 2015). Considering the possible ways, methods, and techniques for maintenance process improvement, a responsible person driven by his/her own personal, individual, and subjective, scale of the preferences distribution system makes the final decision concerning, in his/her opinion, some better options, keeping in mind such indispensable issues as fight safety and airworthiness levels but not only those.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Operation Depending Upon the Uncertainty of Maintenance Alternatives

Goncharenko

2017

Aviation

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The paper considers the theoretical explanation and construction of some mathematical models of the aircraft operational process in reference to maintenance organizations preferred by aviation experts and aircraft operators. The uncertainty of such operational multi-alternativeness is evaluated on the basis of subjective entropy of preferences demonstrated by aircraft operators and aviation experts. When applying the maximum principle of subjective entropy, the optimal distributions of the preferences are obtained. The proposed concept allows finding the optimal distribution of the aircraft fleet according to the available maintenance alternatives. To optimize the above mentioned distribution, one may take into account the possible development and improvement of maintenance organizations and so called “shadow” components. The paper also discusses a significant approach that helps to evaluate the effectiveness of organizations functioning in the area of aviation. This evaluation can be carried out at both global and continental levels as well as state, operator, and airline levels. The respective modeling has been performed and is illustrated with diagrams.

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Section: Introductionmentioning

confidence: 99%

Aircraft Operation Depending Upon the Uncertainty of Maintenance Alternatives

Goncharenko

2017

Aviation

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“…We selected these tasks because of their recurrence and representativeness among other maintenance tasks of the helicopter and plane, particularly, regarding the parameters of posture, gestures, and effort. Various studies in the aviation field have confirmed the interest of the engine part in performing HFE analysis (Amundarain et al, 2003; Dmitriev, Burlakov, Popov, & Popov, 2015; Geng et al, 2013), particularly because of the variability of tasks and work postures (Lockett & Arvanitopoulos-Darginis, 2017; Lu, Zhou, & Li, 2015; Shi & Liu, 2012). In addition, the tasks selected in our study are included as part of regular and mandatory maintenance activities—the most frequent task (Task 1), which is performed every week, and the least frequent task (Task 7), which occurs once a month.…”

Section: Methodsmentioning

confidence: 96%

Using Digital and Physical Simulation to Focus on Human Factors and Ergonomics in Aviation Maintainability

et al. 2019

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Objective: This research aimed to evaluate the differences in the assessments made by three simulation tools used in a maintainability design office to perform human factor/ergonomics (HFE) analysis: digital human modeling (DHM), virtual reality (VR), and physical mock-up (PMU). Background: Maintainability engineers use digital/physical simulation tools in the early design phase to analyze whether the design is well adapted for maintenance operators. Knowing the potential of these simulation tools would encourage maintainability stakeholders to integrate HFE in the design process more efficiently. Method: Eleven maintenance tasks were analyzed from the participation of six maintenance operators. Various HFE indicators including physical, cognitive, and organizational indicators were assessed. Each operator repeated 11 maintenance tasks on VR and PMU. Based on the anthropometric parameters, six manikins were created to analyze 11 maintenance tasks on DHM. Results: A significant difference was found for the organizational indicators between VR and PMU, whereas the physical and cognitive indicators are similar. DHM, VR, and PMU are compared with the common HFE indicators for the physical dimension and present a significant difference for individual tasks. Conclusion: To reduce the gap between simulation tools, a better physical representation is requested on the VR platform, improving the perception of work sequences in the virtual world. Concerning DHM, a new paradigm is proposed to study a few tasks per work area instead of studying each task independently. Application: This study will help develop a new methodology and tools specifically for non-HFE experts in the maintainability department.

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“…It has been proven that technological processes and quality control of aircraft engine maintenance are key factors for advancing the process of continuing air-worthiness support. [7] Unlike many other modern high-tech areas like car and combustion engine assembly lines and production lines of electric motors, the assembly and maintenance of jet engines is quite conservative. In production and in service many manual labor operations are used.…”

Section: Introductionmentioning

confidence: 99%

Creation of an Experimental Engineering Toolbox for the Digital Transformation of Manual Jet Engine Assembly

Spanoudakis

Jonen

Wedemeyer

2020

Annals of Scientific Society for Assembly, Handling and Industrial Robotics

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Modern aircraft engines require appropriate care and understanding of design and manufacturing. This is even more important, as the production of aerospace engines remains a manual process in many cases with limited data sources. Quality control has to consider verification of manufacturing and assembly steps through specific checks and controls whilst implementing additional data sources. In this article, a review of the challenges with regard to controls, automation and process, and technical understanding for aerospace engine production and repair is provided. As this requires the collaboration of many teams and partners, an improvement and step change towards deeper understanding and process efficiency is required. As many operations remain manual, innovations in the way humans interact with technology and collaborate with industrial environments are needed. This article demonstrates the creation and usage of the proposed solutions for collaboration, troubleshooting and error correction in jet engine assembly.

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Technological Processes and Quality Control in Aircraft Engine Maintenance

Abstract: The paper analyzes some issues which refer to the quality assessment of operations performed by aviation specialists when maintaining aircraft. Technological processes and quality control in aircraft engine maintenance are considered.

Cited by 5 publications

References 1 publication

Aircraft Operation Depending Upon the Uncertainty of Maintenance Alternatives

Aircraft Operation Depending Upon the Uncertainty of Maintenance Alternatives

Using Digital and Physical Simulation to Focus on Human Factors and Ergonomics in Aviation Maintainability

Creation of an Experimental Engineering Toolbox for the Digital Transformation of Manual Jet Engine Assembly

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