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Pu Hong - One of the best experts on this subject based on the ideXlab platform.

  • human factors evaluation principals for Civil Aircraft flight deck controls design and integration
    International Conference on Human-Computer Interaction, 2020
    Co-Authors: Kaiwen Chen, Yuan Wang, Pu Hong
    Abstract:

    The Flight Deck Controls are the components of a flight deck interface that allow pilots to provide information to an Aircraft system. Example control functions are to operate, configure, and manage systems. This document addresses controls on Civil Aircraft flight decks from primarily a human factors perspective. This paper introduced a practical evaluation principles, which including general evaluation principles, arrangement and accessibility evaluation principles and operational and usability evaluation principles, for Civil Aircraft Flight Deck Controls Design and Integration.

  • human factors engineering development process in Civil Aircraft flight deck design and integration
    International Conference on Human-Computer Interaction, 2020
    Co-Authors: Yuan Wang, Yao Zhu, Jing Zhang, Pu Hong
    Abstract:

    The Flight Crew error has been identified as a factor in two-thirds to three-fourths of recent aviation accidents and incidents, including several recent high-profile cases. A practical Human Factors Engineering Process (HFEP) during the whole life cycle of Civil Aircraft Flight Deck was introduced in this paper, which including a number of activities and the relative timing of Human Factors Engineering (HFE) activities with respect to the design phases, as well as the purpose, inputs, core tasks, Outputs and checklist for completion, and recommended practices of each activity of the HFEP.

Jun Yao - One of the best experts on this subject based on the ideXlab platform.

  • Optimization of air distribution mode coupled interior design for Civil Aircraft cabin
    Building and Environment, 2018
    Co-Authors: Liping Pang, Lizhan Bai, Pei Li, Yue Zhou, Dong Liu, Jun Yao
    Abstract:

    The airflow distribution and thermal comfort of human beings in Civil Aircraft cabin are influenced by many factors such as the ventilation mode, ventilation air volume, and supply air temperature and so on. Among these factors, the choice of ventilation mode in the Civil Aircraft cabin is also restricted by the interior and aesthetic designs. Yet few researches noticed the impact of these designs on cabin air distribution. In this paper, an optimization design method for the air distribution mode of Civil Aircraft will be discussed based on Computational Fluid Dynamic (CFD) method and Micro-Genetic Algorithm (Micro-GA). Two interior design structures with different luggage bin and light band will be used to investigate their influence on the design of air distribution mode. In this optimization, the position of air supply inlets and the supply air angle are defined as the optimization variables. The Predicted Mean Vote (PMV) and the air age are specially chosen as the objective functions. The relevant regulations for cabin temperature uniformity are determined as the thermal constraint conditions. The study results show that the presented method can ensure the convergence of optimization process. The Pareto Optimal Frontiers (POFs) can be obtained from this multi-objective optimization. The POFs can present the relationship of two objective functions. The preferred air distribution mode coupled different interior designs can be efficiently recommended from the optimization results.

Liping Pang - One of the best experts on this subject based on the ideXlab platform.

  • Optimization of air distribution mode coupled interior design for Civil Aircraft cabin
    Building and Environment, 2018
    Co-Authors: Liping Pang, Lizhan Bai, Pei Li, Yue Zhou, Dong Liu, Jun Yao
    Abstract:

    The airflow distribution and thermal comfort of human beings in Civil Aircraft cabin are influenced by many factors such as the ventilation mode, ventilation air volume, and supply air temperature and so on. Among these factors, the choice of ventilation mode in the Civil Aircraft cabin is also restricted by the interior and aesthetic designs. Yet few researches noticed the impact of these designs on cabin air distribution. In this paper, an optimization design method for the air distribution mode of Civil Aircraft will be discussed based on Computational Fluid Dynamic (CFD) method and Micro-Genetic Algorithm (Micro-GA). Two interior design structures with different luggage bin and light band will be used to investigate their influence on the design of air distribution mode. In this optimization, the position of air supply inlets and the supply air angle are defined as the optimization variables. The Predicted Mean Vote (PMV) and the air age are specially chosen as the objective functions. The relevant regulations for cabin temperature uniformity are determined as the thermal constraint conditions. The study results show that the presented method can ensure the convergence of optimization process. The Pareto Optimal Frontiers (POFs) can be obtained from this multi-objective optimization. The POFs can present the relationship of two objective functions. The preferred air distribution mode coupled different interior designs can be efficiently recommended from the optimization results.

  • thermal comfort assessment in Civil Aircraft cabins
    Chinese Journal of Aeronautics, 2014
    Co-Authors: Liping Pang, Dong Liu, Yue Qin, Meng Liu
    Abstract:

    Abstract Aircraft passengers are more and demanding in terms of thermal comfort. But it is not yet easy for Aircraft crew to control the environment control system (ECS) that satisfies the thermal comfort for most passengers due to a number of causes. This paper adopts a corrected predicted mean vote (PMV) model and an adaptive model to assess the thermal comfort conditions for 31 investigated flights and draws the conclusion that there does exist an uncomfortable thermal phenomenon in Civil Aircraft cabins, especially in some short-haul continental flights. It is necessary to develop an easy way to predict the thermal sensation of passengers and to direct the crew to control ECS. Due to the assessment consistency of the corrected PMV model and the adaptive model, the adaptive model of thermal neutrality temperature can be used as a method to predict the cabin optimal operative temperature. Because only the mean outdoor effective temperature ET∗ of a departure city is an input variable for the adaptive model, this method can be easily understood and implemented by the crew and can satisfy 80–90% of the thermal acceptability levels of passengers.

Kaiwen Chen - One of the best experts on this subject based on the ideXlab platform.

  • human factors evaluation principals for Civil Aircraft flight deck controls design and integration
    International Conference on Human-Computer Interaction, 2020
    Co-Authors: Kaiwen Chen, Yuan Wang, Pu Hong
    Abstract:

    The Flight Deck Controls are the components of a flight deck interface that allow pilots to provide information to an Aircraft system. Example control functions are to operate, configure, and manage systems. This document addresses controls on Civil Aircraft flight decks from primarily a human factors perspective. This paper introduced a practical evaluation principles, which including general evaluation principles, arrangement and accessibility evaluation principles and operational and usability evaluation principles, for Civil Aircraft Flight Deck Controls Design and Integration.

  • high level review principles for human machine interface design of Civil Aircraft flight deck
    International Conference on Applied Human Factors and Ergonomics, 2020
    Co-Authors: Kaiwen Chen
    Abstract:

    High-level human factor engineering principles, which could be used to develop many detailed review guidelines in the design and evaluation of Civil Aircraft Flight Deck Human-Machine Interface, have been introduced in this paper. These principles only address the human factor engineering aspects of the Flight Deck design, but no other related considerations, such as instrumentation, control or structural design. The human factor engineering review principles are organized into four categories: general principles, awareness principles, workload principles and error management principles.

Harald Pfifer - One of the best experts on this subject based on the ideXlab platform.

  • robust autopilot design for landing a large Civil Aircraft in crosswind
    Control Engineering Practice, 2018
    Co-Authors: Julian Theis, Daniel Ossmann, Frank Thielecke, Harald Pfifer
    Abstract:

    A comprehensive autolanding design for a representative model of a twin-engined commercial Aircraft is presented in this paper. To facilitate the design task and minimize control law switching, a cascaded control structure is selected which resembles integrator chains. Classical loopshaping and robust control techniques are used to design the individual control loops. The emphasis is on providing a complete and comprehensive qualitative design strategy. The control system’s ability to safely land the Aircraft despite strong crosswind in a variety of possible scenarios is demonstrated in an industry-grade verification campaign. Nonlinear Monte Carlo simulations of the airliner model are used to assess the risk of unsafe landing conditions and provide insight into the performance characteristics and limitations of the proposed control system.