Dr S GAJANANA

@mvsrec.edu.in

Professor, Mechanical Engineering
Maturi Venkata Subba Rao(MVSR) Engineering College

Dr S GAJANANA


               Download Compact PDF  
https://researchid.co/g_saparey
. S.Gajanana
Presently working as Professor and Dean (Examinations) with Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad. He did his B.Tech (1995) in Mechanical Engineering from S.K.University, Anantapur. Master’ s Degree in Mechanical Engineering (1999) Specialization in Production Technology from Karnatak University, Dharwad. Ph.D from S.V. University, Tirupathi in the year 2007. With 23 years of teaching, Industry experience, currently he is guiding 12 PhDs and one got awarded under his supervision. Published more than 70 research papers in various International & National journals and International & National Conferences. He also completed one research project, sponsored by UGC, New Delhi. Received Rs 5.2 Lakhs AICTE grants under Modernization and Removal of Obsolescence Scheme (MOROBS). Received Rs 2 Lakhs AICTE seminar grants to conduct National Conference on “National Conference on Innovative Trends in Mechanical & Automobile Engg” for the year 2014-15

EDUCATION

• Ph.D. in Mechanical Engineering from S.V.University,
• Master of Engineering in Production Technology from Karnatak University Dharwad, First class with
• Bachelor’s degree in Technology majoring in Mechanical Engineering from Sri Krishnadevaraya University, Anantapur, First

RESEARCH INTERESTS

Manufacturing Engineering(Metal Casting, Metal Forming, Advanced/Non Traditional Machining Processes) Industrial Engineering
12

Scopus Publications

53

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Optimisation of Parameters for Abrasive Water Jet Machining of Aluminium 7075 Alloys using Taguchi Method
    C. Sravanthi, S. Gajanana, A. Krishnaiah, Ch. Venkateswarlu
    International Journal of Vehicle Structures and Systems, 2026
    This research focuses on the experimentation of Abrasive Water Jet Machining (AWJM) applied to aluminium (Al) 7075 alloys. Three critical AWJM parameters - water jet pressure (WJP), stand-off distance (SOD) and traverse speed (TS) were systematically varied across three levels in a series of experiments designed using Taguchi's L9 orthogonal array. For effective machining by AWJM, the process parameters are optimised, specifically assessing their influence on material removal rate (MRR). The methodology employed is Taguchi's method and subsequent is applied. The optimal combination as WJP of 3800 bar, SOD of 2mm and TS of 80.21mm/min was identified through the Analysis of Variance (ANOVA). Notably, the ANOVA indicated that TS played a significantly impactful role, contributing to 76.85% of the observed outcomes. Post-AWJM, Scanning Electron Microscopy (SEM) analysis was conducted, unveiling the presence of distinct features indicating an increase in the MRR. The developed mathematical model for MRR demonstrated a close correspondence between predicted response outcomes and the experimental findings. To validate the identified optimal parameter levels of AWJM, a confirmation test was conducted, affirming the robustness of the settings arrived.
  • Mechanical, microstructure and machining characteristics of alloying elements optimized Al 7075 alloy modified with reinforcement- Silicon Carbide
    C. Sravanthi, S. Gajanana, A. Krishnaiah, Ch. Venkateswarlu
    Advances in Materials and Processing Technologies, 2025
    In this study, the Al7075 alloy underwent modifications in its primary alloying components (Cu, Mg, Cr, and Zn) and incorporated a unique additive, SiC, to investigate their collective impact on mechanical, microstructural, and machining behavior. The goal was to enhance load-bearing and machining properties of the commercial Al-7075 alloy. Employing the stir casting process, the alloy was modified with varying weight percentages of Cu (1.2–4.8%), Mg (2.1–2.9%), Cr (0.18–0.28%), and Zn (5.1–6.1%) using an L8 orthogonal array. SiC was then added at 2%, 4%, and 8 wt% to the optimized composition. Results indicated that the composite with 4.8% Cu, 2.9% Mg, 0.18% Cr, and 5.1% Zn (Al7) exhibited maximum tensile strength and hardness. Al1 alloy displayed the highest energy absorption at 2.1J. Al7 alloy demonstrated superior wear resistance but with a higher wear rate of 0.320 mm3/min and a COF of 0.58. Microstructural analysis revealed finer grains and increased grain boundaries. The addition of SiC significantly enhanced tensile strength, hardness, impact toughness, and wear resistance as 223.56MPa, 118.6BHN, 1.14J and 0.127 mm3/Nm respectively, making it suitable for applications in industries such as aircraft, automotive, and defense where precise weight is crucial.
  • Reliability Analysis of Single Point Cutting Tool on Al6063 Alloy
    Udayani K., Gajanana S., Laxminarayana P.
    Ssrg International Journal of Mechanical Engineering, 2024
    This study aims to investigate the reliability of the Al6063 alloy machining of a single point cutting tool. Because of its well-known advantageous mechanical qualities, Al6063 can be used in a wide range of applications. The machining results are highly impacted by tool wear, such as flank wear, which makes prompt tool replacement necessary to preserve component quality and production efficiency. To assess tool performance, the experiment used High Speed Steel (HSS) tools under several cutting conditions, such as speed, feed, depth of cut, and rake angle. Using image processing methods, flank wear was assessed, and experimental data was used to simulate its distribution as a normal distribution. The probability that the cutting tool would function satisfactorily for the designated amount of time before needing to be replaced was ascertained using reliability analysis. The findings show that increased cutting forces improve tool reliability; in fact, some experiments had reliability percentages above 75%. The results highlight how crucial it is to maximize machining parameter optimization to extend tool life and reduce operational disturbances. To increase manufacturing productivity and quality assurance in Al6063 alloy applications, future research might concentrate on further optimizing these parameters and confirming the findings across various tool materials and machining environments.
  • Green and Sustainable Experimental Investigations on Superni 909 Using Electrical Discharge Machining
    M Sirisha, S. Gajanana, P. Laxminarayana
    Ssrg International Journal of Mechanical Engineering, 2024
    Electrical Discharge Machining (EDM) is an unconventional method used for machining superalloys. These alloys have been widely used in nuclear, aerospace, jet, rocket, turbine, and petroleum plants, among other applications. Despite many advantages, the EDM process has a few disadvantages. It consumes a lot of energy, produces hazardous emissions, has a slow material removal rate, generates toxic dielectric, and increases manufacturing costs. To reduce the machining cost and provide a safe environment, this paper reports the study of using different compositions of Al2021 + Cu tool and using used gear oil and vegetable oil as a dielectric medium in the shaping of superalloy superni 909. The results of different input parameters viz., current, pulse-on-time, pulse-off-time, voltage, and tool on responses material removal rate and electrode wear rate are investigated. The result shows that these alternate electrodes and dielectrics could be used for sustainable EDM processes.
  • Experimental Evaluation of EDM Performance on EN8 Steel Using Taguchi Technique
    B. Kishan, B. Sudheer Prem Kumar, S. Gajanana, N. Sunil Naik
    Lecture Notes in Mechanical Engineering, 2022
  • Development of Regression Model for Surface Roughness on Al 6061 Alloy
    Lecture Notes in Engineering and Computer Science, 2021
  • Development of Regression Model for Al6061+ Sic Tool and Optimization of Process Parameters on Electro Discharge Machining
    B. Kishan, B. SudheerPremkumar, S. Gajanana, B. Ravi Kumar, P.V.K Chaitanya Kumar
    Journal of Physics Conference Series, 2020
    Proper selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM). These are the conditions that determine important characteristics such as material removal rate, Electrode Wear. In the present work experiments are conducted on EDM using Al6061+SiC (with 3%,6%,9% composition of SiC in Al 6061 Alloy ),Copper and Brass materials as electrodes and EN8 steel as work material. Discharge current (IP), pulse on time (TON), pulse off time (TOFF) are selected as inout process parameters, Metal Removal Rate (MR), Tool Wear Rate (TWR) as response. Taguchi design of experiment is used to find the influence of process parameters on response and a mathematical model is developed. Percentage contribution of each factor is determined.
  • Inflation based replacement model for cutting tools using markov stochastic process
    Gajanana S, Yayavaram Revanth Sai, Rahul K, Rohith Yadav S
    International Journal of Engineering Trends and Technology, 2020
  • Investigation of Back Rake Angle on Machining of Al 6061 and Development of Regression Model for Resultant Force
    B. Suresh Kumar Reddy, A. Krishnaiah, S. Gajanana
    Learning and Analytics in Intelligent Systems, 2020
  • Investigation of the Process Parameters on Hot Rolling of Al 7178-SiC Metal Matrix
    M. Nagarjuna, S. Gajanana, A. Krishnaiah
    Learning and Analytics in Intelligent Systems, 2020
  • Development of Mathematical Model for Metal Removal Rate on EDM using Copper & Brass Electrodes
    B. Kishan, B.Sudheer Premkumar, S. Gajanana, K. Buchaiah, M.A. Gaffar
    Materials Today Proceedings, 2018
  • Forecasted inflation based block replacement model using stochastic process
    B. Srinivas, S. Gajanana, K. Hemachandra Reddy
    Applied Mechanics and Materials, 2014

RECENT SCHOLAR PUBLICATIONS

  • Optimisation of Parameters for Abrasive Water Jet Machining of Aluminium 7075 Alloys using Taguchi Method
    C Sravanthi, S Gajanana, A Krishnaiah, C Venkateswarlu
    International Journal of Vehicle Structures & Systems 18 (1), 62-66 , 2026
    2026
  • Mechanical, microstructure and machining characteristics of alloying elements optimized al 7075 alloy modified with reinforcement-Silicon carbide
    C Sravanthi, S Gajanana, A Krishnaiah, C Venkateswarlu
    Advances in Materials and Processing Technologies 11 (1), 523-543 , 2025
    2025
    Citations: 11
  • Green forming of superni 718 by hydraulic impact sheet metal deformation
    E Hazya, S Gajanana, P Laxminarayana, B Ravikumar, BSK Reddy
    Manufacturing Technology Today 22 (11-12), 20-29 , 2023
    2023
  • Investigation of characteristics of hybrid Al 7 (075+ 178) alloy developed through die casting
    A Bindra, S Gajanana, D Kumar, B Ravikumar, BSK Reddy
    Manufacturing Technology Today 21 (11-12), 25-30 , 2022
    2022
  • Study on influence of process parameters in hot rolling of al 7178 metal matrix materials
    B Ravikumar, S Gajanana, A Krishnaiah, M Nagarjuna, K Rammadhav
    Manufacturing Technology Today 21 (5-6), 3-14 , 2022
    2022
  • Experimental Evaluation of EDM Performance on EN8 Steel Using Taguchi Technique
    B Kishan, B Sudheer Prem Kumar, S Gajanana, N Sunil Naik
    Technology Innovation in Mechanical Engineering: Select Proceedings of TIME … , 2022
    2022
  • Surface Roughness Investigation On Metal Spinning Components Applying Image Processing Approach
    S Gajanana, BR Kumar, RP Uttej, T Dittakavi, MA Moid, P Chaitanya
    2022
  • Experimental investigation on machining parameters of Al6061-Mgo
    BSK Reddy, A Krishnaiah, S Gajanana, B Ravikumar
    Manufacturing Technology Today 19 (12), 19-26 , 2020
    2020
  • Investigation of Al 2024 metal spinning on surface roughness using conical mandrel
    BR Kumar, S Gajanana, KH Reddy
    Manufacturing Technology Today 19 (11), 13-19 , 2020
    2020
  • Inflation Based replacement model for cutting tools using Markov Stochastic process
    SRY Dr S Gajanana, Yayavaram Revanth Sai, K Rahul
    International Journal of Engineering Trends and Technology (IJETT) 68 (2), 29-35 , 2020
    2020
  • Development of regression model for Al6061+ SiC tool and optimization of process parameters on electro discharge machining
    B Kishan, B SudheerPremkumar, S Gajanana, B Ravi Kumar, ...
    Journal of Physics: Conference Series 1455 (1), 012021 , 2020
    2020
    Citations: 1
  • Development of factorial model for green compression strength of moulding sand
    S Gajanana, G Prakasham, B Ravikumar, CM Kumar, K Shankar
    Manufacturing Technology Today 18 (11), 26-30 , 2019
    2019
  • Investigation on effects of process parameters on surface roughness for spinning process using cylindrical mandrel
    BR Kumar, S Gajanana, H Reddy, PVKC Kumar, AT Vardhan
    Manufacturing Technology Today 18 (10), 25-30 , 2019
    2019
  • Regression model for surface roughness on EDM using Al6061+ SiC, Copper and Brass Tools
    B Kishan, BSP Kumar, S Gajanana, BR Kumar, PVKC Kumar
    Manufacturing Technology Today 18 (9), 11-16 , 2019
    2019
  • Investigation of the Process Parameters on Hot Rolling of Al 7178-SiC Metal Matrix
    M Nagarjuna, S Gajanana, A Krishnaiah
    International Conference on Emerging Trends in Engineering (ICETE) Emerging … , 2019
    2019
  • Investigation of Back Rake Angle on Machining of Al 6061 and Development of Regression Model for Resultant Force
    B Suresh Kumar Reddy, A Krishnaiah, S Gajanana
    International Conference on Emerging Trends in Engineering (ICETE) Emerging … , 2019
    2019
  • Investigation to optimize process parameters on mechanical properties of aluminium alloy in die casting using taguchi method
    M Nagarjuna, S Gajanana, A Krishnaiah
    Manufacturing Technology Today 17 (10), 19-27 , 2018
    2018
  • A review on simulation of multi pass spinning process
    B Ravikumar, S Gajanana
    Manufacturing Technology Today 17 (8), 3-6 , 2018
    2018
  • Experimental investigation and simulation of hot rolling of AL6061
    S Gajanana, B Ravikumar, DN Kumar, MK Reddy
    Manufacturing Technology Today 17 (8), 15-21 , 2018
    2018
  • Development of regression model for spinning force using parabolic mandrel
    B Ravikumar, S Gajanana
    Manufacturing Technology Today 17 (8), 22-29 , 2018
    2018
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Development of mathematical model for metal removal rate on EDM using copper & brass electrodes
    B Kishan, BS Premkumar, S Gajanana, K Buchaiah, MA Gaffar
    Materials Today: Proceedings 5 (2), 4345-4352 , 2018
    2018
    Citations: 14
  • Mechanical, microstructure and machining characteristics of alloying elements optimized al 7075 alloy modified with reinforcement-Silicon carbide
    C Sravanthi, S Gajanana, A Krishnaiah, C Venkateswarlu
    Advances in Materials and Processing Technologies 11 (1), 523-543 , 2025
    2025
    Citations: 11
  • Optimization of Process Parameters of Metal Spinning using Response Surface Methodology
    K Udayani, V Veeranna, S Gajanana, KH Reddy
    Int. J. Emerg. Technol. Eng. Res 5, 253-256 , 2017
    2017
    Citations: 10
  • Optimization of Process Parameters in Hot Machiningof 15-5 PH Stainless Steel Using Taguchi Method
    NSAR Dr. S. Gajanana, Dr.D.Chakradhar
    International Journal of Engineering Science Invention Research … , 2016
    2016
    Citations: 6
  • Experimental investigation of process parameters of submerged wire EDM for machining high speed steel
    A Chandrakanth, DS Gajanana, B Kshetramohan
    Int. J. Eng. Res. 4, 427-431 , 2016
    2016
    Citations: 3
  • Development Of Mathematical Model for EDM Using Two Factorial Design Of Experiments
    S GAJANANA
    XXIII National Convention of Mechanical Engineers and National Seminar on … , 2007
    2007
    Citations: 2
  • Development of Mathematical Model for Inflation Prediction using Forecasting Technique
    S GAJANANA
    Industrial Engineering Journal 35 , 2006
    2006
    Citations: 2
  • Development of regression model for Al6061+ SiC tool and optimization of process parameters on electro discharge machining
    B Kishan, B SudheerPremkumar, S Gajanana, B Ravi Kumar, ...
    Journal of Physics: Conference Series 1455 (1), 012021 , 2020
    2020
    Citations: 1
  • Development of regression model for spinning force using parabolic mandrel
    B Ravikumar, S Gajanana
    Manufacturing Technology Today 17 (8), 22-29 , 2018
    2018
    Citations: 1
  • Machinability study of aluminium 6061 alloy on end milling process
    S Gajanana, BS Reddy, A Krishnaiah
    International Journal of Engineering Research 6 (8), 397-402 , 2017
    2017
    Citations: 1
  • Analysis of Machinability on Al6061 using Single Point Cutting Tool
    S Gajanana, BSK Reddy, A Krishnaiah
    International Journal of Scientific and Engineering Research , 2017
    2017
    Citations: 1
  • Forecasted Inflation Based Block Replacement Model Using Stochastic Process
    DKHR B. Srinivas1, Dr.S.Gajanana
    International Journal of Applied Mechanics and Materials 592 , 2014
    2014
    Citations: 1
  • Optimisation of Parameters for Abrasive Water Jet Machining of Aluminium 7075 Alloys using Taguchi Method
    C Sravanthi, S Gajanana, A Krishnaiah, C Venkateswarlu
    International Journal of Vehicle Structures & Systems 18 (1), 62-66 , 2026
    2026
  • Green forming of superni 718 by hydraulic impact sheet metal deformation
    E Hazya, S Gajanana, P Laxminarayana, B Ravikumar, BSK Reddy
    Manufacturing Technology Today 22 (11-12), 20-29 , 2023
    2023
  • Investigation of characteristics of hybrid Al 7 (075+ 178) alloy developed through die casting
    A Bindra, S Gajanana, D Kumar, B Ravikumar, BSK Reddy
    Manufacturing Technology Today 21 (11-12), 25-30 , 2022
    2022
  • Study on influence of process parameters in hot rolling of al 7178 metal matrix materials
    B Ravikumar, S Gajanana, A Krishnaiah, M Nagarjuna, K Rammadhav
    Manufacturing Technology Today 21 (5-6), 3-14 , 2022
    2022
  • Experimental Evaluation of EDM Performance on EN8 Steel Using Taguchi Technique
    B Kishan, B Sudheer Prem Kumar, S Gajanana, N Sunil Naik
    Technology Innovation in Mechanical Engineering: Select Proceedings of TIME … , 2022
    2022
  • Surface Roughness Investigation On Metal Spinning Components Applying Image Processing Approach
    S Gajanana, BR Kumar, RP Uttej, T Dittakavi, MA Moid, P Chaitanya
    2022
  • Experimental investigation on machining parameters of Al6061-Mgo
    BSK Reddy, A Krishnaiah, S Gajanana, B Ravikumar
    Manufacturing Technology Today 19 (12), 19-26 , 2020
    2020
  • Investigation of Al 2024 metal spinning on surface roughness using conical mandrel
    BR Kumar, S Gajanana, KH Reddy
    Manufacturing Technology Today 19 (11), 13-19 , 2020
    2020

GRANT DETAILS

 Executed UGC Minor Research Project
Title: Some studies on Mechanical Properties and Machinability of Aluminum Alloy (6061 Series)
Proposal No: 1036 (2014-15)
Grant Amount: 5 Lakhs
UGC approval Letter No. and Date: F.No:4-4/2014-15(MRP-SEM/UGC-SERO) dated 19-11-2014 – Proposal Number : 1036
No.F MRP-6167/15(SERO/UGC) Linkno:6167, Comcode: APOS114, 28th Jan 2015
AICTE GRANTS:

 Received Rs 5.2 Lakhs AICTE grants under Modernization and Removal of Obsolescence Scheme (MOROBS) for the year 2011-12 for Metal Cutting and Machine Tools Lab. ( 8024/RIFD/MOD-179(Pvt)/Policy-III/2011-12)

 Received Rs 2 Lakhs AICTE seminar grants to conduct National Conference on “National Conference on Innovative Trends in Mechanical & Automobile Engineering” for the year 2014-15. (F. No. 7-9/RIFD/SEM/POLICY-2/2014-15) organized on 11-12 February, 2016

INDUSTRY EXPERIENCE

 Sept, 1996 to Sept, 1997: Mechanical engineer in ISO 9002 certified Process Industry, Sri Rayalaseema Alkalies and Allied Chemical Ltd., Kurnool