Dr Rudresh Addamani
Professor
| Mechanical Engineering
P E S College of Engineering, MANDYA
Karnataka
Expertise:
Mechanical Engineering
14
Publications
1
Projects
23
Scopus Citations
15
CrossRef
20 Years 2 Months Total Experience
Scopus
23
Citations
3
h-index
CrossRef
15
Citations
2
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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The Indian Society for Technical Education (MIESTE)
Life time Membership Number LM 105313The Institution of Engineers ( India) (MIE)
Life time Membership Number M – 165790-3Personal Details
Doctor of Philosophy
2019
Guru Nanak Khalsa College, Yamuna Nagar
Master of Technology
2003
Guru Nanak Khalsa College, Yamuna Nagar
Professor
Jul 2020 – Present
P E S College of Engineering, MANDYA
| Mechanical Engineering
Associate Professor
Jul 2013 – Jul 2020
P E S College of Engineering, MANDYA
| Mechanical Engineering
Assistant Professor
Jul 2009 – Jul 2012
P E S College of Engineering, MANDYA
| Mechanical Engineering
Lecturer
Dec 2006 – Jul 2009
Unknown Organization
Lecturer
Aug 2005 – Dec 2006
Bangalore College of Education, Heelalige Village, Chandapura, Bangalore -81
Engineering and Technology
Scholarly Work
Performance Monitoring of Composite Materials while Machining and Welding using Machine Vision System
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VIRTUAL VISUAL FAULT LOCATOR
PES College of Engineering
Mandya-571401
-
Patent No. :
117270
Filed :
20-04-2022
Published :
27-09-2022
Published
Scholarly Publications
Estimation of Machining Performance and Machining Characteristics Using Artificial Neural Network in Wire Electric Discharge Machine for Titanium & P‐20 Materials
Electrode Wear, Surface Roughness and Acoustic Emission signal estimation of P-20 Tool Steel and Stavax Materials in Wire Electric Discharge Machining Process using ANN
Prediction of Machining Characteristics and Machining Performance for Grade 2 Titanium Material in a Wire Electric Discharge Machine Using Group Method of Data Handling and Artificial Neural Network †
Open AccessEvaluation of the marginal fit of cobalt-chrome coping with three different fabrication.
Estimation and comparison of machining performances using group method data handling technique and ANN in wire EDM of stavax material
Assessment of weld bead performance for pulsed gas metal arc welding (P-GMAW) using acoustic emission (AE) and machine vision (MV) signals through NDT methods for SS 304 material
Weld bead performance assessment of P-GMAW using acoustic emission (AE) signals through NDT methods for MS ASTM a 106 B grade material
Assessment of Weld Bead Mechanical Properties During Destructive Testing Using Image Processing by Multivision Technique
Showing 1 to 8 of 14 publications