This Special Issue highlights the latest enhancements in the abatement of noise and vibrations in aerospace and automotive systems. The reduction of acoustic emissions and the improvement of interior cabin comfort desired by all major transportation industries, as these areas have a direct impact on customer satisfaction and, consequently, the commercial success of new products. Topics covered in this Special Issue deal with computational approaches, instrumentation and data analysis related to noise and vibrations of fixed-wing aircraft, satellites, spacecraft, automobiles, and trains, covering aerodynamically generated noise, engine noise, sound absorption, cabin acoustic treatments, duct acoustics, and vibroacoustic properties of materials. This Special Issue also focuses on industrial aspects. Existing procedures and algorithms that are useful in reaching the abovementioned objectives in the most efficient way are illustrated in the collected papers


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    Titel :

    Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems


    Beteiligte:
    Citarella, Roberto (Herausgeber:in) / Federico, Luigi (Herausgeber:in) / Mattia, Barbarino (Herausgeber:in)

    Erscheinungsdatum :

    2020


    Format / Umfang :

    1 Online-Ressource (194 p.)



    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems

    Citarella, Roberto ;Federico, Luigi ;Mattia, Barbarino | TIBKAT | 2020

    Freier Zugriff

    Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems

    Roberto Citarella ;Luigi Federico | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2018

    Freier Zugriff

    Aeroacustic and Vibroacoustic Advancement in Aerospace and Automotive Systems

    Roberto Citarella ;Luigi Federico | TIBKAT | 2018

    Freier Zugriff

    Numerical method for evaluating aeroacustic sound source

    Takaishi, Takehisa / Ikeda, Mitsuru | IuD Bahn | 2005


    Variational Autoencoders for Dimensionality Reduction of Automotive Vibroacoustic Models

    Hildenbrand, Arne / Gurbuz, Caglar / Schmid, Johannes D. et al. | SAE Technical Papers | 2022