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Results 1-10 of 14 (Search time: 0.004 seconds).
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Issue Date
Title
Author(s)
Supervisor(s)
2020
Performance of magnetorheological elastomer based torsional vibration isolation system for dynamic loading conditions [??????????????????????????]
Praveen, S.K.
;
Kuchibhatla, S.A.R.
;
Singh, A.K.
;
Gangadharan, K.V.
-
2020
A novel approach to characterize the magnetic field and frequency dependent dynamic properties of magnetorheological elastomer for torsional loading conditions
Shenoy, K.P.
;
Poojary, U.
;
Gangadharan, K.V.
-
2021
Conceptualization and Design of Remotely-Accessible Hardware Interface (RAHI) Laboratory
Potdar S.M.
;
Gupta V.
;
Umesh P.
;
Gangadharan, K.V.
-
2020
Experiential Learning of Physio-Chemical and Bacteriological Properties of Water using Virtual Labs
Shetty S.
;
Shetty A.
;
Aishwarya Hegde A.
;
Salian A.B.
;
Akshaya
;
Umesh P.
;
Gangadharan, K.V.
-
2020
Experiential Learning of Strength of Materials and Fluid Mechanics using Virtual Labs
Shetty S.
;
Shetty A.
;
Hegde A.A.
;
Salian A.B.
;
Akshaya
;
Umesh P.
;
Gangadharan, K.V.
-
2020
Application of vibration analysis and data mining techniques for bearing fault diagnosis in two stroke IC engine gearbox
Ravikumar K.N.
;
Kumar H.
;
Gangadharan, K.V.
-
2020
The effect of inclination angle of shock absorber on ride comfort and road holding of two-wheeled vehicle
Hegale A.
;
Puneet N.P.
;
Kumar H.
;
Gangadharan, K.V.
-
2020
Ball bearing fault diagnosis based on vibration signals of two stroke ic engine using continuous wavelet transform
Ravikumar K.N.
;
Madhusudana C.K.
;
Kumar H.
;
Gangadharan, K.V.
-
2021
Optimal Parameters Identification of Quarter Car Simulink Model for Better Ride Comfort and Road Holding
Puneet N.P.
;
Hegale A.
;
Kumar H.
;
Gangadharan, K.V.
-
2020
Remotely operated marine rescue vehicle
Shetty N.B.
;
Rao N.
;
Umesh P.
;
Gangadharan, K.V.
-
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Author
4
Kumar H.
4
Umesh P.
2
Akshaya
2
Hegale A.
2
Puneet N.P.
2
Ravikumar K.N.
2
Salian A.B.
2
Shetty A.
2
Shetty S.
1
Aishwarya Hegde A.
.
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Date issued
12
2020
2
2021
Has File(s)
14
false