Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Kumar, Satish" wg kryterium: Autor


Wyświetlanie 1-6 z 6
Tytuł:
Modelling of Love-type waves in an elastic layer sandwiched between viscous liquid half space and size dependent couple stress substrate
Autorzy:
Sharma, Vanita
Kumar, Satish
Powiązania:
https://bibliotekanauki.pl/articles/280534.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
Love-type waves
couple stress
viscous liquid
viscosity
sensors
Opis:
Dispersion curves employed for designing Love wave based liquid sensing devices may provide more accurate information if due consideration is given to parameters describing microstructural behavior of the substrate. The present study involves mathematical modelling of Love waves propagating in a hybrid structure consisting of an elastic layer in the middle overlying a size dependent substrate, loaded with a viscous liquid (Newtonian) half space. Numerical computations are carried out to graphically demonstrate the effects of various parameters: characteristic length of the substrate, thickness of the elastic layer, viscosity and density of the overlying viscous liquid (Newtonian) on dispersion characteristics.
Źródło:
Journal of Theoretical and Applied Mechanics; 2019, 57, 4; 1009-1019
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Degradation assessment of bearing based on machine learning classification matrix
Autorzy:
Kumar, Satish
Kumar, Paras
Kumar, Girish
Powiązania:
https://bibliotekanauki.pl/articles/1841739.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
degradation state
health condition indicator
machine learning
diagnostic model
prognostic model
Opis:
In the broad framework of degradation assessment of bearing, the final objectives of bearing condition monitoring is to evaluate different degradation states and to estimate the quantitative analysis of degree of performance degradation. Machine learning classification matrices have been used to train models based on health data and real time feedback. Diagnostic and prognostic models based on data driven perspective have been used in the prior research work to improve the bearing degradation assessment. Industry 4.0 has required the research in advanced diagnostic and prognostic algorithm to enhance the accuracy of models. A classification model which is based on machine learning classification matrix to assess the degradation of bearing is proposed to improve the accuracy of classification model. Review work demonstrates the comparisons among the available state-of-the-art methods. In the end, unexplored research technical challenges and niches of opportunity for future researchers are discussed.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 395-404
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying a Gouy–Chapman–Stern Model for Adsorption of Toxic Metals to Soils in Arsenic Affected Areas of Chhattisgarh
Autorzy:
Bhui, Ashish Kumar
Sen, Satish Kumar
Powiązania:
https://bibliotekanauki.pl/articles/1031874.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Electrostatic models
Gouy-Chapman
heavy metal Phytoremidation
toxic metals
Opis:
An effective adsorption model was developed by S. Nir in 1978 for predicting adsorption to synthetic membranes and was also adapted by him afterwards to clay minerals. The main principles of the model are the solution of the electrostatic Gouy-Chapman equations while calculating the adsorbed amounts of the cations as the sum of those residing in the double-layer region and the cations that are chemically bound in a closed system. Thus, the equilibrium concentration in solution is influenced by the adsorption as the function of the amounts bound. The model was later developed and adapted for the adsorption of METAL cations, and, in most cases, the fit of calculated results to measured adsorbed amounts of cations was very good, after calibrating the model for the chemical tested, with only two adjustable parameters for each chemical. In the current work, we tested the applicability of this model for the adsorption of a monovalent and a divalent METAL cation by several soils, by considering the cation exchange capacities (CEC) and the specific surface areas (SSA) of the soils. For three out of four soils, a very good fit was obtained by using the required parameters for the calculations from previous studies of cation adsorption on clay minerals. The main advantage of the presented model over Langmuir and Freundlich adsorption isotherms is that no additional changes in the parameters were needed when the background concentration of salts in the suspensions was increased from 10 to 50 or 500 mM.
Źródło:
World News of Natural Sciences; 2020, 30, 2; 178-186
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Synthesis and Characterization of Al-Zn-Mg alloy / Zircon Sand Reinforced Composites
Autorzy:
Satish Kumar, T.
Shalini, S.
Krishna Kumar, K.
Powiązania:
https://bibliotekanauki.pl/articles/351684.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Al-Zn-Mg alloy
microstructure
hardness
tensile strength
wear
Opis:
Aluminium based metal matrix composite (Al-MMC’s) are much popular in the field like automobile and aerospace industries, because of its ease of fabrication process and excellent mechanical properties. In this study, Al-Zn-Mg alloy composite reinforced with 3, 6 and 9 v % of zircon sand was synthesised by stir casting technique. The microstructure of the composites revealed uniform distribution of reinforced particles. Hardness, tensile strength and wear resistance of Al-Zn-Mg alloy/zircon sand composite were found to increase with increase in v % percentage of zircon sand. Scanning Electron Microscope analysis of wear tested sample surface of composites revealed no evidence of plastic deformation of matrix phase. Particle pulls out and abrasive wear was the common feature observed from all the composites.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 2; 689-695
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Traffic Noise and its Impact on Wellness of the Residents in Sambalpur City – a Critical Analysis
Autorzy:
Sahu, Alekh Kumar
Nayak, Satish Kumar
Mohanty, Chitta Ranjan
Pradhan, Prasanta Kumar
Powiązania:
https://bibliotekanauki.pl/articles/1953465.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
traffic noise
equivalent continuous noise level
annoyance
wellness
noise exposure index
Opis:
Noise is unwanted sound judged to be unpleasant, loud or disruptive to hearing. Like air pollution, noise pollution is one of the serious matters of concern in urban areas. Noise pollution occurs when noise level exceeds certain limit and has deleterious effects on human health and wellness. The major sources of noise pollution are industries, road traffic, railways, airplane traffic and social celebrations. The traffic noise is notably high in cities due to higher density of population, frequent movement of people, good transport system coupled with increasing numbers of vehicles (on road). In this work, the assessments of traffic noise in Sambalpur city is presented. Twelve important locations were chosen for the assessment. Noise contours were drawn to visualize the spreading of traffic noise into its surroundings. At the same time, the effect of noise pollution on wellness of the exposed people was studied. The study shows that the traffic noise level and its effects, are both in an alarming stage in the city.
Źródło:
Archives of Acoustics; 2021, 46, 2; 353-363
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Synthesis and Characterization of Functionally Graded Al-6Cr-Y2O3 Composites
Autorzy:
Satish Kumar, T.
Krishna Kumar, K.
Shalini, S.
Subramanian, R.
Powiązania:
https://bibliotekanauki.pl/articles/353460.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Al-6Cr alloy
powder metallurgy
functionally graded materials
wear resistance
Opis:
The present investigation aims at fabricating a functionally graded Al-6Cr-Y2O3 composite and its microstructural and property characterization. Al-6Cr-alloys with varying percentage of Y2O3 (5-10 vol. %) have been used to fabricate FGM by powder metallurgy route. The samples were subsequently subjected to solution treatment at 610°C for 4h followed by artificially aged at 310°C for 4h. The microstructure, hardness and wear behavior of these FGM have been evaluated. FGM exhibited superior hardness (360 ± 5 VHN) as compared to the unprocessed composites (220 ± 5 VHN) due to the uniform dispersion of Y2O3 particles. Wear resistance of Al-6Cr-10Y2O3 FGM were compared that of with pure Al-6Cr alloy by dry abrasive wear test. Al-6Cr-10Y2O3 FGM composites were found to exhibit higher wear resistance with the minimum wear rate of 0.009 mm3/m compared to the Al-6Cr alloy wear rate 0.02 mm3/m.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 4; 1649-1655
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies