Numerical Prediction and Verification of Noise Radiation Characteristics of Diesel Engine Block

Mandke, Devendra; Ghaisas, Deepak; Pawar, S. N.; Suh, Sanghoon

doi:10.4271/2019-01-1591

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Given an increased awareness of noise pollution, combined with an ongoing shift from internal combustion engines towards electric or hydrogen engines, NVH has gained increased importance as many parts have to be re-designed [3]. NVH analysis is performed for practically all automotive components [14,16,21,22].…”

Section: Structure-borne Noise Analysismentioning

confidence: 99%

Interactive Visual Analysis of Structure-borne Noise Data

Splechtna

Gračanin²,

Todorović³

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Numerical simulation has become omnipresent in the automotive domain, posing new challenges such as high-dimensional parameter spaces and large as well as incomplete and multi-faceted data. In this design study, we show how interactive visual exploration and analysis of high-dimensional, spectral data from noise simulation can facilitate design improvements in the context of conflicting criteria. Here, we focus on structure-borne noise, i.e., noise from vibrating mechanical parts. Detecting problematic noise sources early in the design and production process is essential for reducing a product's development costs and its time to market. In a close collaboration of visualization and automotive engineering, we designed a new, interactive approach to quickly identify and analyze critical noise sources, also contributing to an improved understanding of the analyzed system. Several carefully designed, interactive linked views enable the exploration of noises, vibrations, and harshness at multiple levels of detail, both in the frequency and spatial domain. This enables swift and smooth changes of perspective; selections in the frequency domain are immediately reflected in the spatial domain, and vice versa. Noise sources are quickly identified and shown in the context of their neighborhood, both in the frequency and spatial domain. We propose a novel drill-down view, especially tailored to noise data analysis. Split boxplots and synchronized 3D geometry views support comparison tasks. With this solution, engineers iterate over design optimizations much faster, while maintaining a good overview at each iteration. We evaluated the new approach in the automotive industry, studying noise simulation data for an internal combustion engine.

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Section: Structure-borne Noise Analysismentioning

confidence: 99%

Interactive Visual Analysis of Structure-borne Noise Data

Splechtna

Gračanin²,

Todorović³

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Noise Prediction Method Development for Crop Feed Mechanism

Dasabai¹,

Bogue²

2021

SAE Technical Paper Series

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Root Cause Analysis of Drive Noise in an Agriculture Machine End Unit

Chaudhari¹,

Dasabai²,

Bogue³

et al. 2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">In any off-highway machinery throughout the product development cycle, noise is considered an important characteristic. This characteristic drives the product quality, safety, and productivity and meets the homologation requirements. Identifying the critical noise source and finding out the true root cause of the noise source is a very critical element in improving the design to reduce the noise levels. A systematic approach is needed to understand the behavior of the system, which can be achieved through collaborative efforts among the analysis, design, and testing teams.</div><div class="htmlview paragraph">This paper describes how virtual analysis helps to determine the main source of noise radiation in the audible frequency range of the human ear. The sound pressure level (SPL) in the test data at the end unit drive of an agriculture machine showed high peaks at a few frequencies in the critical frequency range. The spectral content remains the same regardless of the backshaft speed. The noise goes away when the tensioner sprocket center nut is loosened. In the initial stage, the accuracy of the end unit drive finite element (FE) model is ensured by comparing the virtual driving point impedances with test data for both loose and tight nut conditions. In the later stage, the acoustic finite element method adaptive order (FEM AO) model is developed [<span class="xref">1</span>] and correlated with test data of SPLs. In the final stage, panel contribution analysis is carried out to determine the critical noise-radiating component. This validated model will be confidently used to improve the design further.</div></div>

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Numerical Prediction and Verification of Noise Radiation Characteristics of Diesel Engine Block

Cited by 3 publications

References 3 publications

Interactive Visual Analysis of Structure-borne Noise Data

Interactive Visual Analysis of Structure-borne Noise Data

Noise Prediction Method Development for Crop Feed Mechanism

Root Cause Analysis of Drive Noise in an Agriculture Machine End Unit

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