Admissions
Madanapalle Institute of Technology & Science is now MITS Deemed to be University.
Dr. P. Sivaiah

Qualification : Ph.D. (NIT, Karnataka)

Designation : Assoc. Professor

Email: [email protected]

Details of Educational Qualification:

Course Specialization Branch Institute / University Year of Passing
Ph.D. Manufacturing Mechanical Engineering National Institute of Technology, Karnataka 2017
M.Tech. Production Engineering Mechanical Engineering Sri Venkateswara University, Tirupathi 2011
B.Tech. Mechanical Engineering Mechanical Engineering Annamacharya Institute of Technology and Science, Rajampeta 2008

 

Research Areas: 

  • Sustainable machining techniques, Artificial Intelligence in Manufacturing.

 

Research Identifiers: 

 

Publication Details:

S.No Publication Affiliation  Academic Year Author Position Details of Research Publication Indexing Publication Journal Quartile (Q1/Q2/Q3/Q4)
1 MITS 2025-26 1 Textured tools machinability assessment while turning of H13 material under various cutting environments. Materials and Manufacturing Processes, 40(13), pp.1725-1734. SCIE Article Q1
2 MITS 2025-26 3 MQL turning processing of EN24 alloy steel material with novel textured tools. Materials and Manufacturing Processes, 40(13), pp.1713-1724. SCIE Article Q1
3 MITS 2025-26 4 Processing of AISI304 material with novel textured tools under sustainable manufacturing practice. Materials and Manufacturing Processes, pp.1-10.   SCIE Article Q1
4 MITS 2023-24 4 Role of dual textured tools in MQL turning operation. Scientific Reports, 15(1), pp.1-11.    SCIE Article Q1
5 MITS 2023-24 1 Performance evaluation of developed new textured tools during turning of AISI 321 material. Materials and Manufacturing Processes, 39(5), 688-699.   SCIE Article Q1
6 MITS 2023-24 1 Comparative analysis and experimental exploration of the milling process in the machining of Inconel 825 material under MQL. Materials and Manufacturing Processes, 39(9), 1213-1223 SCIE Article Q1
7 MITS 2022-23 6 Artificial Intelligence Model for Machinability Investigations on Drilling of AA6061 with Micro Textured Tool for Automobile Applications (No. 2023-28-0082). SAE Technical Paper.   Scopus Article    None
8 MITS 2022-23 2 Simulation of metal ceramic single layer coatings for solar energy applications. Materials Science for Energy Technologies, 7, pp.85-90.     Scopus Article    Q1
9 MITS 2022-23 1 Investigation on turning process performance during machining of 15-5PH stainless steel material with eco-friendly machining technique. Materials Today: Proceedings. Scopus Conference Proceedings  None
10 MITS 2022-23 2 Selection of best WEDM process parameters using grey relational analysis method. Materials Today: Proceedings. Scopus Conference Proceedings   None
11 MITS 2022-23 1 Sustainable manufacturing strategies in machining. Sustainable Manufacturing Processes, Academic press, Elsevier, Pages 113-154,ISBN: 978-0-323-99990-8 978-0-323-99990-8  Scopus Book chapter None
12 MITS 2021-22 4 Neural Network Model for Machinability Investigations on CNC Turning of AA5052 for Marine Applications with MQL (No. 2022-28-0515). SAE Technical Paper. Scopus Article None
13 MITS 2021-22 1 Performance improvement of turning operation during processing of AISI 304 with novel textured tools under minimum quantity lubrication using hybrid optimization technique. Materials and Manufacturing Processes, 37(6), pp.693-700  SCIE Article Q1
14 MITS 2021-22 1 Processing of 17-4 PH steel in turning operation with hybrid textured tools. Materials and Manufacturing Processes, 37(3), pp.241-250.     SCIE Article Q1
15 MITS 2021-22 1 Effect of single and hybrid pattern textured tools on turning process performance. Materials and Manufacturing Processes, 37(3), pp.251-259.  SCIE Article Q1
16 MITS 2021-22 3 Characterization of Aluminium and Alumina Thin Films Coatings using different Deposition Methods for Enhancement of Optical Properties. International Journal of Materials Engineering Innovation, 12(3), pp.165-187 Scopus Article    Q4
17 MITS 2020-21 1 Identifying the effectiveness of manner of cryogenic coolant supply in different cryogenic cooling techniques in turning process—a review. Machining Science and Technology, 24(6), pp.948-999.  SCIE Article Q2
18 MITS 2020-21 1 A comparative study on different textured and untextured tools performance in turning process. Materials and Manufacturing Processes, 36(8), pp.926-935. SCIE Article Q1
19 MITS 2020-21 3 Evaluation of Mechanical Properties of Glass Fiber-BMPM/DABA-PMC Composite. Transactions of the Indian Institute of Metals, 74, pp.2185-2192.  SCIE Article Q2
20 MITS 2020-21 1 Machinability evaluation during machining of AISI 52100 steel with textured tools under Minimum Quantity Lubrication- A comparative study. Materials and Manufacturing Processes 35(15), pp.1761-1768. SCIE Article Q1
21 MITS 2020-21 1 Investigation on turning process performance using hybrid-textured tools under dry and conventional cooling environment. Materials and Manufacturing Processes, 35(16), pp.1852-1859. SCIE Article Q1
22 MITS 2020-21 4 Alumina Thin film Coatings at Optimized Conditions using RF Magnetron Sputtering Process. International Journal of Thin Film Science and Technology, 10(1), 13-20. Scopus  Article Q3
23 MITS 2019-20 1 Effect of novel hybrid texture tool on turning process performance in MQL machining of Inconel 718 superalloy. Materials and Manufacturing Processes, 35(1), pp.61-71.  SCIE Article Q1
24 MITS 2019-20 4 Determination of Strength Parameters of Glass Fibers Reinforced Composites for Engineering Applications. Silicon, 12(1), pp.1-11.  SCIE Article Q2
25 MITS 2019-20 1 Effect of surface texture tools and minimum quantity lubrication (MQL) on tool wear and surface roughness in CNC turning of AISI 52100 steel. Journal of The Institution of Engineers (India): Series C, 101(1), pp.85-95. Scopus  Article Q3
26 MITS 2019-20 1 Experimental investigation and modelling of MQL assisted turning process during machining of 15-5 PH stainless steel using response surface methodology. SN Applied Sciences, 1(8), p.913. ESCI Article Q2
27 MITS 2019-20 1 Multi objective optimization of sustainable turning process using TOPSIS method. Emerging Materials Research, 8(4), pp.686-695     SCIE Article Q3
28 MITS 2019-20 1 Evaluation of hybrid textured tool performance under minimum quantity lubrication while turning of AISI 304 steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(12), p.571-581.  SCIE Article Q2
29 MITS 2018-19 4 Evaluation of Multilayer Thin Film Coatings for Solar Thermal Applications. Arabian Journal for Science and Engineering, 44(9), pp.7789-7797. SCIE Article Q1
30 MITS 2018-19 1 Performance improvement of cryogenic turning process during machining of 17-4 PH stainless steel using multi objective optimization techniques. Measurement, 136, pp.326-336. SCIE Article Q1
31 MITS 2018-19 1 The effectiveness of a novel cryogenic cooling approach on turning performance characteristics during machining of 17-4 PH stainless steel material. Silicon, 11(1), pp.25-38. SCIE Article Q2
32 MITS 2018-19 1 Effect of cryogenic coolant on turning performance: a comparative study. SN Applied    Sciences, 1(1), p.67.    ESCI    Article    Q2 ESCI Article Q2
33 MITS 2018-19 1 Modeling and optimization of sustainable manufacturing process in machining of 17-4 PH stainless steel. Measurement, 134, pp.142-152.  SCIE Article Q1
34 MITS 2017-18 1 Analysis and modeling of cryogenic turning operation using response surface methodology. Silicon, 10(6), pp.2751-2768.  SCIE Article Q2
35 MITS 2017-18 1 Effect of cryogenic coolant on turning performance characteristics during machining of 17-4 PH stainless steel: A comparison with MQL, wet, dry machining. CIRP Journal of Manufacturing Science and Technology, 21, pp.86-96.  SCIE Article Q1
36 MITS 2017-18 1 Multi performance characteristics optimization in cryogenic turning of 17-4 PH stainless steel using Taguchi coupled grey relational analysis. Advances in Materials and Processing Technologies, 4(3), pp.431-447   Scopus Article Q2
37 Others 2016-17 1 Machinability studies on 17-4 PH stainless steel under cryogenic cooling environment. Materials and Manufacturing Processes, 32(15), pp.1775-1788.   SCIE Article Q1
38 Others 2016-17 1 Influence of cryogenic coolant on turning performance characteristics: A comparison with wet machining. Materials and Manufacturing Processes, 32(13), pp.1475-1485.   SCIE Article Q1
39 Others 2016-17 1 Multi-objective optimisation of cryogenic turning process using Taguchi-based grey relational analysis. International Journal of Machining and Machinability of Materials, 19(4), pp.297-312. Scopus Article Q3
40 Others 2016-17 1 Comparative evaluations of machining performance during turning of 17-4 PH stainless steel under cryogenic and wet machining conditions. Machining Science and Technology, 22(1), pp.147-162.  SCIE Article Q2

 

Patents

S.No Affiliation Academic Year Application ID Title of the Patent Status
1 MITS 2024-25 437596-001 Multi-Sieving Machine Examination
2 MITS 2024-25 429724-001 Textured turning cutting insert Granted
3 MITS 2024-25 429875-001 Dual surface textured tool Granted
4 MITS 2024-25 429725-001 Cutting tool for turning operation Examination
5 MITS 2023-24 400149-001 Conical shaped micro grooved surface textured tool Examination
6 MITS 2020-21 201841017716A Utilization of Waste Poly Ethylene Bags and Fly Ash for Engineering Application Granted
7 MITS 2017-18 201741046532A New Invention of Low Cost Creep Testing Machine with Variable Temperature and Environmental and Environmental Conditions for Composite Material (pmmc) Examination

 

Consultancy

S.No Affiliation Academic Year Name of the Consulting Firm Title of the Project Amount in Rs. /-
1 MITS 2024-25 Academic Institutions Manufacturing of steel components & characterization testing 50,000
2 MITS 2023-24 Academic Institutions Manufacturing of steel components & characterization testing 20,000
3 MITS 2022-23 Academic Institutions Manufacturing of steel components & characterization testing 20,000
4 MITS 2021-22 Academic Institutions Manufacturing of steel components & characterization testing 10,000
 

Awards/Achievements

  • Stanford University recognized him as one of the Top 2% Scientists for the years 2021, 2023, 2024, and 2025. 
  • Received the “Best Researcher Award” for the academic years 2018-19, 2019-20, and 2022-23 at MITS College.