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Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations

Author

Listed:
  • Zhengwei Yang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Huihua Feng

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Bingjie Ma

    (Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China)

  • Ammar Abdualrahim Alnor Khalifa

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Traditional acoustic evaluation of a diesel engine generally uses the A-weighted sound pressure level (AWSPL) and radiated sound power to assess the noise of an engine prototype present in an experiment. However, this cannot accurately and comprehensively reflect the auditory senses of human subjects during the simulation stage. To overcome such shortage, the Moore–Glasberg loudness and sharpness approach is applied to evaluate and improve the sound quality (SQ) of a 16 V-type marine diesel engine, and synthesizing noise audio files. Through finite element (FE) simulations, the modes of the engine’s block and the average vibrational velocity of the entire engine surface were calculated and compared with the test results. By further applying an automatically matched layer (AML) approach, the engine-radiated sound pressure level (SPL) and sound power contributions of all engine parts were obtained. By analyzing the Moore–Glasberg loudness and sharpness characteristics of three critical sound field points, an improvement strategy of the oil sump was then proposed. After improvement, both the loudness and sharpness decreased significantly. To verify the objective SQ evaluation results, ten noise audio clips of the diesel engine were then synthesized and tested. The subjective evaluation results were in accordance with the simulated analysis. Therefore, the proposed approach to analyze and improve the SQ of a diesel engine is reliable and effective.

Suggested Citation

  • Zhengwei Yang & Huihua Feng & Bingjie Ma & Ammar Abdualrahim Alnor Khalifa, 2020. "Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations," Energies, MDPI, vol. 13(4), pages 1-21, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:777-:d:319129
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    Cited by:

    1. Artur Bejger & Jan Bohdan Drzewieniecki, 2020. "A New Method of Identifying the Limit Condition of Injection Pump Wear in Self-Ignition Engines," Energies, MDPI, vol. 13(7), pages 1-11, April.

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