Ajou University repository

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Showing results 1 to 10 of 1180 (Search time: 0.0 seconds).

Designing internal parts of a muffler to achieve target acoustic characteristics
  • Min, Jae Hong;
  • Oh, Kee Seong;
  • Lee, Jong Kyeom;
  • Park, Sang Young;
  • Lee, Kyung Hoon;
  • Lee, Jin Woo
  • 2019-01-01
  • Transactions of the Korean Society of Mechanical Engineers, A, Vol.43, pp.443-450
  • Korean Society of Mechanical Engineers
Improving the Transmission Loss of Mufflers Using Panel Vibration 패널의 진동을 이용한 머플러의 투과 손실 개선
  • 2022-01-01
  • Transactions of the Korean Society of Mechanical Engineers, A, Vol.46, pp.1071-1079
  • Korean Society of Mechanical Engineers
Improvement of noise attenuation performance of a multi-layer panel by using acoustic metamaterial
  • 2019-01-01
  • Transactions of the Korean Society of Mechanical Engineers, A, Vol.43, pp.287-295
  • Korean Society of Mechanical Engineers
입/출구 중심이 일치하지 않는 확장형 머플러 내부의 천공판 최적 설계
  • 최동욱
  • 2013-02
  • The Graduate School, Ajou University
Hybrid Modulation Scheme for Switching Loss Reduction in a Modular Multilevel High-Voltage Direct Current Converter
  • 2019-04-01
  • IEEE Transactions on Power Electronics, Vol.34, pp.3178-3191
  • Institute of Electrical and Electronics Engineers Inc.
Methods for evaluating in-duct noise attenuation performance in a muffler design problem
  • 2020-01-06
  • Journal of Sound and Vibration, Vol.464
  • Academic Press
Effect of Al/Cu weight fraction on the mechanical and electrical properties of Al-Cu conductors for overhead transmission linesoa mark
  • 2020-01-01
  • Archives of Metallurgy and Materials, Vol.65, pp.1019-1022
  • Polish Academy of Sciences
A graphene-assisted all-pass filter for a tunable terahertz transmissive modulator with near-perfect absorptionoa mark
  • 2019-12-01
  • Scientific Reports, Vol.9
  • Nature Publishing Group
Reliability-based acoustical topology optimization of mufflers under noise frequency and temperature uncertainties
  • 2021-11-01
  • Mechanical Systems and Signal Processing, Vol.160
  • Academic Press
Deep-learning-based generative design for optimal silencer using backpropagation of artificial neural network model
  • 2024-10-01
  • Advanced Engineering Informatics, Vol.62
  • Elsevier Ltd
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