Deepak P. Hujare

Bio: Deepak P. Hujare is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Vibration & Suspension (topology). The author has an hindex of 2, co-authored 5 publications receiving 12 citations. Previous affiliations of Deepak P. Hujare include Maharashtra Institute of Technology & College of Engineering, Pune.

Analysis for effect of pores on acoustic performance of reactive muffler

Abstract: The major source of noise pollution was an internal combustion engine. Henceforth, the design of the engine exhaust system was a tough challenge for automotive industries. The mufflers have been us...

Noise And Vibration Analysis For Source Identification Of Three-Cylinder Diesel Engine Using Fea And Experimental Techniques

Abstract: The noise and vibration analysis plays a major role for determining the root cause for various faults in a diesel engine. The components of I.C engine produce noise and vibrations due to variation in loads and unbalanced forces which reduce the life of machine. So, it is essential to identify the major sources of vibration and its location and also to reduce the noise to avoid failures in the system. In the present study, experimental modal analysis is carried out for various 3-cylinder engine components to determine resonant frequencies in the system, which have been performed by using roving excitation technique. Then the results of experimental modal analysis are verified by using FEA. The experimental vibration analysis has been carried out at the speed near to the resonance conditions to find out the amplitude of vibrations. A structural borne noise mapping is carried out to know the exact locations of the noise sources. So, based on the results of noise and vibration analysis, structural modifications have been made in the corresponding components of an engine and the improved results have shown that amplitudes of vibration have been reduced by 35 to 40% and the structural borne noise level also reduced by 3 to 4 dB (A).

Acoustics Of Ducts And Mufflers With Application To Exhaust And Ventilation System Design

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Diagnostic and severity analysis of combined failures composed by imbalance and misalignment in rotating machines

Abstract: Failure detection from mechanical vibration analysis is crucial in industry machinery, with early discovery allowing for preventive action to be performed. This paper introduces a prototype of an IoT system capable of (i) identifying combined failures of a rotating machine and (ii) predicting failures, in a non-invasive manner. An embedded solution is devised, which is able to classify four types of operating conditions, namely (i) normal, (ii) imbalanced, (iii) imbalanced associated with horizontal misalignment, and (iv) imbalanced associated with vertical misalignment. The goal of the paper is to propose an automatic method of diagnosis and measurement of combined failures in rotating machines. The employed methodology combines a simulation bench and measuring the severity in a controlled environment. Three distinct machine learning techniques were compared for classification purposes: support vector machines, k-nearest neighbors, and random forests. The results obtained reveal the possibility of differentiating between the types of combined faults; an accuracy of 81.41% using a random forest classifier was achieved. A supervisory system was developed which is responsible for monitoring machines and sending wireless alert messages. The latter are sent to a control application, allowing for user interaction through mobile devices. Results reveal the possibility of differentiating between the types of combined faults, and also motor failure severity profile for different scenarios. Through the construction of severity profiles, when faults occurred, high vibration values were registered at elevated speeds. The proposed methodology can be used in any rotating machine that complies with the conditions imposed by ISO 10816.

Noise reduction of a diesel engine with internal stiffeners

Abstract: In recent years there has been an increased interest from truck manufacturers in reducing the noise from internal combustion engines through stiffening solutions like bearing beams, ladder frames, and bedplates. This paper presents a short literature review of experiences published on the topic. Results of an experimental study of engine modifications with a bearing beam, a ladder frame, and an isolated oil sump are presented as well. The beam and the frame were designed so that they can be installed together without vibration propagating connections and to give high stiffness in the areas where they are most effective. The study was performed on a relatively light 9-liter six-cylinder diesel engine with an engine block of deep skirt type. The influence of the engine modifications was investigated through measurements of sound intensity, sound pressure, running modes, internal and external vibrations, and mobility. The results show that a ladder frame effectively reduces the noise from a deep skirt engine and that the reductions are substantially increased by isolation of the oil sump. The results also show where the components of the ladder frame are effective and that a bearing beam can be an unsuitable solution for deep skirt engines as resonances are shifted to higher frequencies that can be more effectively transferred and radiated.

Dynamic Response of a Rotating Assembly under the Coupled Effects of Misalignment and Imbalance

Abstract: In rotating machinery, the second most common fault after imbalance is misalignment. Misalignment can have a severe impact on equipment and may reduce the machine’s lifetime considerably. In this paper, the simultaneous effect of imbalance and misalignment (parallel or angular) on the vibration spectra of rotating machinery will be discussed. A numerical model is developed and used to obtain the time and frequency responses of the rotor-coupling-bearing system to the simultaneous effect of these faults. The numerical model shows that the imbalance was mainly related to the peak located around 1X, whereas misalignment was linked to the peak around 2X. In addition, the parallel misalignment fault magnifies the 2X amplitude of the displacement response, whereas the response of angular misalignment is captured at the 2X and 4X amplitudes. This study also examines the effects of changing the model’s rotational speed, misalignment level, and coupling type for angular and parallel misalignments.