D Srinivas Rao
VIDWAN ID: 337188

Prof D Srinivas Rao

Male Doctor of Philosophy
Professor | Department of Mechanical Engineering
Muffakham Jah College of Engineering & Technology
Telangana
Expertise: Mechanical Engineering
9 Publications
0 Projects
4 Scopus Citations
4 CrossRef
21 Years 2 Months Total Experience
Publications
9 Total
Articles
6
Proceedings
3
Activity

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Scopus Scopus
4 Citations
1 h-index
CrossRef CrossRef
4 Citations
1 h-index
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Professional Recognition

BEST PAPER PRESENTATION
2017
MADRAS INSTITUTE OF TECHNOLOGY, ANNA UNIVERSITY
BEST PAPER AWARD
2017
SRI VENKATESHWARA UNIVERSITY, TIRUPATI

Community & Membership

assessment committee
member
Jan 2017
CSIR-assessment committee
member
Jan 2017
ISTE
LIFE MEMBER
Jan 2008
IEI
LIFE MEMBER
Jan 2001

Personal Details

Doctor of Philosophy
2019
Kota University, Kota
Professor
Jul 2005 – Present
Muffakham Jah College of Engineering & Technology | Department of Mechanical Engineering
Professor
Jul 2005 – Jul 2005
Muffakham Jah College of Engineering & Technology | Department of Mechanical Engineering
Engineering and Technology
Mechanical Engineering

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Scholarly Work

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MAGNETO RHEOLOGICAL FLUID CLUTCH SYSTEM AND METHOD OF SYNTHESIS THEREOF

Dr. K. Hema Latha
Dr. D. Srinivas Rao
MUFFAKHAM JAH COLLEGE OF ENGINEERING AND TECHNOLOGY
- Patent No. : 533777 Filed : 30-11--0001
Published : 28-01-2022 Granted

Scholarly Publications

Machining improvement on MDN 350 alloy with optimum machining parameters

Conference Paper
AIP Conference Proceedings. Year: 2023. Volume: 2808 , Pages: 040015 .
Authors: Adil, S.; Krishnaiah, A.; Rao, D.S.

Optimization of cutting parameters for improved machining of Fe-Al alloy

Conference Paper
Year: 2017. Pages: 1203-1206 .
Authors: Rao, D.S.; Krishnaiah, A.; Krishna, Y.; Adil, S.

Mathematical modelling and optimization of cutting conditions in turning operation on MDN 350 steel with carbide inserts

Open Access
Journal Article
Authors: Syed Adil; A. Krishnaiah; D. Srinivas Rao

Optimization of cutting parameters for improvement in the machining performance on Fe-Al mechanical alloy

Conference Paper
Materials Today: Proceedings. Year: 2018. Volume: 5 , Issue: 13 , Pages: 27193-27198 .
Authors: D Srinivas Rao; A. Krishanaiah; Y Krishna; Syed Adil

Mathematical Modeling using Artificial Neural Networks for Quality Evaluation in the Machining of Fe-Al Alloy with PCBN Tools

Journal Article

Modeling of Machining Performance on Fe-Al Alloy using Artificial Neural Networks

Journal Article

Optimization of cutting parameters for improved machining of Fe-Al alloy

Journal Article

Optimization of cutting parameters for improvement in the machining performance on Fe-Al mechanical alloy

Journal Article
Showing 1 to 8 of 9 publications