Researcher:
Yenerer, Hakan

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Master Student

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Hakan

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Yenerer

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Yenerer, Hakan

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20142

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Researcher Of Publications: search.filters.isAuthorOfPublication.3708c211-e9ec-478f-9426-2909b5f735dd

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    Experimental transfer path analysis for a heavy duty truck
    (Web Portal ASME (American Society of Mechanical Engineers), 2014) Sendur, Polat; N/A; N/A; Department of Mechanical Engineering; Stan, Andrei Cristian; Yenerer, Hakan; Başdoğan, İpek; Master Student; Master Student; Faculty Member; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 179940
    Most of the mechanical systems are composed of different subsystems coupled by several links. Any excitation acting on the system is divided into several internal forces which propagate through these links or so called transfer paths. This paper presents the use of experimental transfer path analysis in identifying the transmission paths for a heavy duty truck in order to estimate the vibration and noise transmitted from the cabin and engine mounts. The most challenging part of the TPA analysis is estimation of the internal operational forces so that the total response can be predicted accurately. At the circumstances where direct measurement of the operational forces is impossible, especially for complex structures, a common approach to address the problem is based on a measured frequency response function (FRF) matrix and a set of operational responses. The main problem of this approach is the inversion of the FRF matrices which can be ill-conditioned. Once the internal operational forces are estimated, the vibration or noise response for the selected location in the truck can be calculated. To validate the predicted results, coherence of the collected data and the condition numbers of FRF matrices are investigated so that the accuracy of the predicted results can be quantified for the frequency band of interest. The predictions of the total response are compared with the experimentally measured data such that the coherence and condition number related observations are validated.
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    Vibro-acoustic analysis of a heavy duty truck cabin
    (American Society of Mechanical Engineers (ASME), 2014) Sendur, Polat; N/A; N/A; Department of Mechanical Engineering; Yenerer, Hakan; Stan, Andrei Cristian; Başdoğan, İpek; Master Student; Master Student; Faculty Member; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 179940
    Automotive manufacturers invest a lot of effort and money to enhance the vibro-acoustic performance of their products. In a complex dynamic system such as a truck cabin, the enhancement effort may be very difficult and time-consuming if only the 'trial and error' method is used without prior knowledge about the noise contributors. The purpose of this paper is to identify the most influential noise radiating panel in a passenger cabin compartment of a heavy duty truck. The noise inside the vehicle cabin originates from various sources and travels through many pathways. The first step of sound quality refinement is to find the pathways and corresponding operational internal forces. Operational acceleration responses and frequency response functions (FRFs) are measured on a prototype truck to determine the excitation forces while engine is running in operational conditions. Once these internal forces are identified using the experimental force identification (FI) technique, they are utilized to predict the total sound pressure level inside the cabin and also perform the panel acoustic contribution analysis (PACA) to determine the most problematic panel of the cabin. A coupled vibro-acoustic finite element model (FEM) is used to predict the sound pressure level inside the cabin. Sound pressure levels at the driver's and passenger's right and left ears are determined numerically for excitation coming from the cabin mounts ranging between 20-200 Hz. When the most noise radiating panel is identified, it can be redesigned to improve the sound pressure level inside the cabin.