收藏切换
Evaluation of noise−reduction technologies for civil aircraft based on the analytic hierarchy process and quality function deployment
收藏切换
PDF
Fei ZHOU1, Tao ZHANG2, Lixia QU3, Chao CHEN4, Yingzhe ZHANG2, 5, Xiaodong LI1, *
Science & Technology Review | 2026, 44(4) : 145 - 154
Less
收藏切换
Science & Technology Review | 2026, 44(4): 145-154
Papers
Evaluation of noise−reduction technologies for civil aircraft based on the analytic hierarchy process and quality function deployment
Full
Fei ZHOU1, Tao ZHANG2, Lixia QU3, Chao CHEN4, Yingzhe ZHANG2, 5, Xiaodong LI1, *
Affiliations
  • 1School of Energy and Power Engineering, Beihang University, Beijing 100191, China
  • 2Beijing Key Laboratory of Simulation Technology for Civil Aircraft Design, Beijing Aircraft Technology Research Institute, Beijing 102211, China
  • 3Chinese Aeronautical Establishment, Beijing 100086, China
  • 4Research Institute of Aero−Engine, Beihang University, Beijing 100191, China
  • 5School of Aeronautics Science and Engineering, Beihang University, Beijing 100191, China
Published: 2026-02-28 doi: 10.3981/j.issn.1000-7857.2025.09.00084
Outline
收藏切换

To systematically evaluate and optimize the development roadmap of noise−reduction technologies for civil aircraft, a comprehensive assessment framework integrating the analytic hierarchy process (AHP) and quality function deployment (QFD) is established. Starting from representative aircraft noise sources, a technology list consisting of 23 noise−reduction approaches is compiled. Seven key evaluation criteria, including airworthiness compliance, total noise−reduction potential, and technology readiness level, are defined, and the corresponding weights are determined through AHP with consistency verification. Based on these weights, three QFD−based scoring methods are applied to compare the influence of individual judgment matrices and an aggregated judgment matrix on the final technology ranking. The results indicate that, provided all expert judgment matrices satisfy the consistency requirement, both the overall scores and rankings of the technologies remain stable across the three scoring methods. According to the results of Scoring Method I, hierarchical development lists and priority development lists of noise−reduction technologies are formulated. Among these technologies, nacelle acoustic liners and low−noise aerodynamic design of high−lift devices are recommended as priority development directions. This study provides a quantitative decision−making basis for the strategic planning and prioritization of noise−reduction technologies for civil aircraft.

civil aircraft noise reduction technologies  /  analytic hierarchy process  /  quality function deployment  /  technology evaluation system  /  development priorities
Fei ZHOU, Tao ZHANG, Lixia QU, Chao CHEN, Yingzhe ZHANG, Xiaodong LI. Evaluation of noise−reduction technologies for civil aircraft based on the analytic hierarchy process and quality function deployment[J]. Science & Technology Review, 2026 , 44 (4) : 145 -154 . DOI: 10.3981/j.issn.1000-7857.2025.09.00084
Year 2026 volume 44 Issue 4
PDF
485
281
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2025.09.00084
  • Receive Date:2025-07-21
  • Online Date:2026-03-16
  • Published:2026-02-28
Article Data
Affiliations
History
  • Received:2025-07-21
  • Revised:2025-11-25
Affiliations
    1School of Energy and Power Engineering, Beihang University, Beijing 100191, China
    2Beijing Key Laboratory of Simulation Technology for Civil Aircraft Design, Beijing Aircraft Technology Research Institute, Beijing 102211, China
    3Chinese Aeronautical Establishment, Beijing 100086, China
    4Research Institute of Aero−Engine, Beihang University, Beijing 100191, China
    5School of Aeronautics Science and Engineering, Beihang University, Beijing 100191, China
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2025.09.00084
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT