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Satish C. Sharma

Other affiliations: Indian Institutes of Technology
Bio: Satish C. Sharma is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Bearing (mechanical) & Reynolds equation. The author has an hindex of 30, co-authored 233 publications receiving 3639 citations. Previous affiliations of Satish C. Sharma include Indian Institutes of Technology.


Papers
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TL;DR: In this paper, the influence of wear on the performance of 2-lobe slot entry restrictor bearing has been investigated theoretically using Galerkin's technique of FEM and Dufrane's wear model was used to consider the change in bush geometry due to wear.
Abstract: In the present paper, the influence of wear on the performance of 2-lobe slot entry restrictor bearing has been investigated theoretically The equation of fluid flow field has been solved by using Galerkin’s technique of FEM In this study, Dufrane’s wear model has been used to consider the change in bush geometry due to wear The performance of 2-lobe slot entry restrictor bearing is studied for both symmetric and asymmetric slot configurations The simulated results of the study indicate that the wear defect substantially changes the performance of 2-lobe slot entry journal bearing systems A proper choice of bearing geometry and bearing configuration (12 slots and 6 slots per row) may partially compensate the loss occurred due to wear

1 citations

Journal ArticleDOI
TL;DR: In this article , the vibration responses of the healthy and cracked blade under the influence of stress-stiffening and spin-softening have been studied and the three-dimensional finite element-based numerical analysis is carried out to study the blade's mode shape and natural frequencies and validated with the experimental modal analysis test results.
Abstract: In the present paper, vibration responses of the healthy and cracked blade under the influence of stress-stiffening and spin-softening have been studied. The three-dimensional finite element-based numerical analysis is carried out to study the blade's mode shape and natural frequencies and are validated with the experimental modal analysis test results. In the case of spin softening, for healthy blade at the turbine’s speed over 1000 RPM, natural frequencies increase significantly in both first flap-wise and chordwise bending modes. In both cases of STF and SOF, for the cracked blade, the deviation from the healthy blade in the natural frequency increases with increasing crack size, maximal in a crack size of 90%. It is also observed that irrespective of crack size, deviation in natural frequencies as compared to healthy blade increases as spin speed increases in the cases of chordwise bending mode (Mode II) and higher-order overlapped mode IV, and in the case of fundamental torsion mode (Mode III), higher-order overlapped mode V and VI natural frequencies decrease in both STF and SOF cases.

1 citations

Journal ArticleDOI
01 Sep 2021
TL;DR: In this paper, an experimental and theoretical investigation on performance behavior of twin-groove elliptical (two-lobe) white metal hydrodynamic journal bearing used in steam turbines is presented.
Abstract: The present paper reports an experimental and theoretical investigation on performance behaviour of twin-groove elliptical (two-lobe) white metal hydrodynamic journal bearing used in steam turbines...

1 citations

Journal ArticleDOI
Satish C. Sharma, Deepti Parashar, Pooja, Richa1, Sanjay Sharma 
TL;DR: In subjects with poor sleep, addition of resistance training proved to be effective than Aerobic exercises in improving quality of sleep in older adults.
Abstract: Background: Lack of studies with appropriate research design and methodology on sleep improvement with exercise, it has not been possible to draw firm conclusions about the effect of resistance exercises over aerobic exercises in improving the quality of sleep in older adults. The purpose of the study was to determine the effect of resistance exercises over aerobic exercises in improving quality of sleep in community dwelling older adults thereby improving the physical fitness and preventing falls. Materials and Method: Forty five subjects with poor sleep and actively living in community were recruited for the study. Subjects were divided into three groups- Aerobic exercise, Resistance training and control group. Resistance training group received exercises like arm curls, bench press, rowing, shoulder press, leg extension and leg press. Aerobic exercise group received activities like elbow flexion, elbow extension, shoulder abduction and adduction, side stepping, cycling etc. Control group was given no training. All the subjects were treated for 5 days a week for 6 weeks and follow-up was taken after 2 weeks. Outcome measures included Pittsburgh Sleep Quality Index and Berg Balance Scale. Results: Overall, subjects in both the resistance and aerobic groups improved over 6 weeks training as compared to control group. A statistical significant difference was observed between the Resistance and Aerobic groups in Pittsburgh Sleep Quality Index. Conclusion: In subjects with poor sleep, addition of resistance training proved to be effective than Aerobic exercises in improving quality of sleep in older adults.

1 citations


Cited by
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TL;DR: This paper attempts to present a comprehensive review of AI algorithms in rotating machinery fault diagnosis, from both the views of theory background and industrial applications.

1,287 citations

Journal ArticleDOI
TL;DR: Current applications of wavelets in rotary machine fault diagnosis are summarized and some new research trends, including wavelet finite element method, dual-tree complex wavelet transform, wavelet function selection, newWavelet function design, and multi-wavelets that advance the development of wavelet-based fault diagnosed are discussed.

1,087 citations

Journal ArticleDOI
TL;DR: A feature learning model for condition monitoring based on convolutional neural networks is proposed to autonomously learn useful features for bearing fault detection from the data itself and significantly outperforms the classical feature-engineering based approach which uses manually engineered features and a random forest classifier.

871 citations

Journal ArticleDOI
TL;DR: This review covers advances in electrochemical and biochemical sensor development and usage during 2010 and 2011 and focuses on novel methods and materials, with a particular focus on the increasing use of graphene sheets for sensor material development.
Abstract: This review covers advances in electrochemical and biochemical sensor development and usage during 2010 and 2011 In choosing scholarly articles to contribute to this review, special emphasis was placed on work published in the areas of reference electrodes, potentiometric sensors, voltammetric sensors, amperometric sensors, biosensors, immunosensors, and mass sensors In the past two years there have been a number of important papers, that do not fall into the general subsections contained within the larger sections Such novel advances are very important for the field of electrochemical sensors as they open up new avenues and methods for future research Each section above contains a subsection titled “Other Papers of Interest” that includes such articles and describes their importance to the field in general For example, while most electrochemical techniques for sensing analytes of interest are based on the changes in potential or current, Shan et al1 have developed a completely novel method for performing electrochemical measurements In their work, they report a method for imaging local electrochemical current using the optical signal of the electrode surface generated from a surface plasmon resonance (SPR) The electrochemical current image is based on the fact that the current density can be easily calculated from the local SPR signal The authors demonstrated this concept by imaging traces of TNT on a fingerprint on a gold substrate Full articles and reviews were primarily amassed by searching the SciFinder Scholar and ISI Web of Knowledge Additional articles were found through alternate databases or by perusing analytical journals for pertinent publications Due to the reference limitation, only publications written in English were considered for inclusion Obviously, there have been more published accounts of groundbreaking work with electrochemical and biochemical sensors than those covered here This review is a small sampling of the available literature and not intended to cover every advance of the past two years The literature chosen focuses on new trends in materials, techniques, and clinically relevant applications of novel sensors To ensure proper coverage of these trends, theoretical publications and applications of previously reported sensor development were excluded We want to remind our readers that this review is not intended to provide comprehensive coverage of electrochemical sensor development, but rather to provide a glimpse of the available depth of knowledge published in the past two years This review is meant to focus on novel methods and materials, with a particular focus on the increasing use of graphene sheets for sensor material development For readers seeking more information on the general principles behind electrochemical sensors and electrochemical methods, we recommend other sources with a broader scope2, 3 Electrochemical sensor research is continually providing new insights into a variety of fields and providing a breadth of relevant literature that is worthy of inclusion in this review Unfortunately, it is impossible to cover each publication and unintentional oversights are inevitable We sincerely apologize to the authors of electrochemical and biochemical sensor publications that were inadvertently overlooked

727 citations