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Hire Dr. Dr.Sachin G.

India

USD 50 /hr

My expertise in the field of design of experiments for planning and analysis of experiments in various fields.

Profile Summary

Dr. Sachin Ghalme is currently working as Associate Professor in Department of Mechanical Engineering at Sandip Institute of Technology & Research Centre (SITRC), Nashik (MS), India. He has completed his research in the field of tribological performance of Silicon Nitride-hBN ceramic composite at Manoharbhai Patel Institute of Engineering and Technology, Gondia. He has received the Doctor of Philosophy in the field of Mechanical Engineering from Department of Science and Technology, Rashtrasant Tukdoji Maharaj Nagpur University, Nagpur (MS), India. He is having a total 18 years of experience in the field of technical education. He has authored several scientific articles in peer-reviewed and reputed International and National Journals. Dr. Sachin Ghalme is associated with many scientific associations, and along with this he is also a Reviewer of International Journals (SCI & Scopus Index). He is a Life Member of Indian Society for Technical Education (ISTE) and Member of The Institution of Engineers (MIE), International Association of Computer Science and Information Technology (MIACSIT), International Association of Engineers (MIAENG), International Association of Advanced Materials (IAAM) and Society of Automotive Engineers (SAE). He looks forward to guiding many research scholars often developing his own interest in the field which he is expertized. He has completed two minor research projects sponsored by Savitribai Phule Pune University, Pune. His basic research interest includes the tribological performance

Subject Matter Expertise

• ★ Tribology
• ★ Manufacturing
• ★ Data Analysis
• ☆ Biomaterials
• ☆ Mathematical Optimization

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, Gap Analysis, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Big Data Analytics

Product Development Formulation, Stability/Shelf Life Testing, Concept Development

Work Experience

Head of Department

Sandip Institute of Technology and Research Centre

September 2022 - Present

Associate Professor

Sandip Institute of Technology and Research Centre

November 2018 - Present

Assistant Professor

Sandip Institute of Technology and Research Centre

June 2017 - October 2018

AP

SCSM CoE,Ahmednagar

August 2011 - June 2017

AP

PDVVP CoE, Ahmednagar

2002 - 2011

Education

Ph.D. (Mechanical Engineering)

Manoharbhai Patel Institute of Engineering and Technology

July 2012 - June 2018

ME (Mechanical engineering)

PREC Loni

2004 - 2007

BE (Mechanical engineering)

SRES CoE,Kopargaon

July 1997 - August 2001

Certifications

• Peer Reviewer

  Publons Academy

  May 2020 - Present

• Certified LaTex Editor

  Soken Tutorial IIT Bombay

  April 2020 - Present

Publications

JOURNAL ARTICLE

Dr. Sachin Ghalme, Mohnesh Mandhare (2023). Enhancement Mechanical Properties of CI200 Material using Magnetic Field . Journal of Mines, Metals and Fuels.

Optimization of Drilling Parameters for Aluminum Metal Matrix Composite Using Entropy-Weighted TOPSIS under MQL Conditions @article{https://doi.org/10.24423/engtrans.3110.20231121, doi = {10.24423/ENGTRANS.3110.20231121}, url = {https://et.ippt.pan.pl/index.php/et/article/view/3110}, author = {GHALME, Sachin G. and KAROLCZAK, Paweł}, keywords = {FOS: Mechanical engineering}, language = {en}, title = {Optimization of Drilling Parameters for Aluminum Metal Matrix Composite Using Entropy-Weighted TOPSIS under MQL Conditions}, publisher = {Engineering Transactions, 71(4): 595–616}, year = {2023}, copyright = {Creative Commons Attribution Share Alike 4.0 International}} . Engineering Transactions, 71(4): 595–616.

Multi-Response Optimization of Drilling Parameters for Aluminum Metal Matrix Composite Using Entropy Weighted Grey Relational Analysis @misc{2023, doi = {10.4028/v-8zeuox}, url = {https://doi.org/10.4028%2Fv-8zeuox}, year = 2023, month = {jun}, publisher = {Trans Tech Publications, Ltd.}, volume = {1177}} . Advanced Materials Research.

Dr. Sachin Ghalme (2023). Improvement of Lithium Grease Tribological Performance with Graphite as an Additive . The Ciência & Engenharia - Science & Engineering Journal.

Dr. Sachin Ghalme (2023). A Review on Unmanned Ground Vehicle for Surveillance and Security . The Ciência & Engenharia - Science & Engineering Journal.

Dr. Sachin Ghalme(2022). Nanotitanium Oxide Particles and Jute-Hemp Fiber Hybrid Composites: Evaluate the Mechanical, Water Absorptions, and Morphological Behaviors . Journal of Nanomaterials. 2022. p. 1--7. Hindawi Limited

Sachin G. Ghalme, Pramod A. Karole, Yogeshkumar R. Falak, Jaywant N. Yadav. Microbial Fuel Cell: A Technology for Sustainable Energy. DE [Internet]. 2021Dec.5 [cited 2021Dec.18];:2983 -2993 .

(2021). Improving Mechanical Properties of Rice Husk and Straw Fiber Reinforced Polymer Composite through Reinforcement Optimization . Jordan Journal of Mechanical and Industrial Engineering.

(2020). Effect of Aluminium Oxide (Al2O3) Nanoparticles Addition into Lubricating Oil on Tribological Performance . Tribology in Industry.

(2019). Analysis of Factors Affecting Delamination in Drilling GFRP Composite . Journal of Computational & Applied Research in Mechanical Engineering (JCARME).

(2019). OPTIMIZATION OF LOAD AND HBN CONTENT FOR IMPROVING TRIBOLOGICAL PERFORMANCE OF A SI3N4-HBN CERAMIC COMPOSITE USING TAGUCHI-GREY RELATIONAL ANALYSIS . Proceedings on Engineering Sciences.

(2018). Review on Evolution of Silicon Nitride in the Field of Orthopedics. Current Trends in Biomedical Engineering & Biosciences (CTBEB).

(2018). Application of Nanoparticles as Additive for Lubricant Nano-Materials in Tribology . Recent Patents on Materials Science.

(2017). WEAR PERFORMANCE OPTIMIZATION OF SILICON NITRIDE USING GENETIC AND SIMULATED ANNEALING ALGORITHM . Journal of Engineering Science and Technology.

Sachin Ghalme(2017). Wear Loss Evaluation of Silicon Nitride-Hexagonal Boron Nitride Composite using Taguchi Method . Juniper Online Journal Material Science. 2. (4). Juniper Publishers

(2017). Wear Performance Optimization of Silicon Nitride (Si3N4) - Hexagonal Boron Nitride (hBN) Composite Using Genetic Algorithm (GA) . Recent Patents on Materials Science.

Ghalme, S., Mankar, A., Bhalerao, Y.J.(2017). Wear performance optimization of Silicon Nitride using Genetic and simulated annealing algorithm . Journal of Engineering Science and Technology. 12. (12). p. 3120-3135.

Sachin, G., Ankush, M., Yogesh, B.(2017). Wear performance optimization of silicon nitride (Si<inf>3</inf>N<inf>4</inf>)-hexagonal boron nitride (HBN) composite using genetic algorithm (GA) . Recent Patents on Materials Science. 10. (1). p. 66-74.

Sachin Ghalme, Ankush Mankar, Yogesh Bhalerao(2017). Integrated Taguchi-simulated annealing (SA) approach for analyzing wear behaviour of silicon nitride . Journal of Applied Research and Technology. Elsevier {BV}

Ghalme, S., Bhalerao, Y.J.(2017). Application of nanoparticles as additive for lubricant nano-materials in tribology . Recent Patents on Materials Science. 10. (2). p. 88-96.

Ghalme, S., Mankar, A., Bhalerao, Y.(2017). Integrated Taguchi-simulated annealing (SA) approach for analyzing wear behaviour of silicon nitride . Journal of Applied Research and Technology. 15. (6). p. 624-632.

Sachin Ghalme, Ankush Mankar, Y. J. Bhalerao(2016). Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method . SpringerPlus. 5. (1). Springer Nature

(2016). Biomaterials in Hip Joint Replacement . International Journal of Material Science and Engineering.

(2016). Modeling of wear performance of Si3N4-hBN composite using artificial neural network (ANN) . CiiT International Journal of Artificial Intelligent System and Machine Learning.

Ghalme S, Mankar A, Bhalerao YJ, SpringerPlus, 2016, vol. 5, no. 1, pp. 1671, 2016 .

Ghalme, S., Mankar, A., Bhalerao, Y.J.(2016). Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method . SpringerPlus. 5. (1).

Ghalme, S., Mankar, A., Bhalerao, Y.J.(2016). Optimization of wear loss in silicon nitride (Si<inf>3</inf>N<inf>4</inf>)–hexagonal boron nitride (hBN) composite using DoE–Taguchi method . SpringerPlus. 5. (1).

Ghalme, S. and Mankar, A. and Bhalerao, Y.J.(2016). Optimization of wear loss in silicon nitride (Si3N4)–hexagonal boron nitride (hBN) composite using DoE–Taguchi method . SpringerPlus. 5. (1).

(2013). Life Models in Rolling Contact Fatigue. TRANSACTION ON CONTROL AND MECHANICAL SYSTEMS.

Ghalme, S.G., Mankar, A., Bhalerao, Y.J.(2013). Effect of lubricant viscosity and surface roughness on coefficient of friction in rolling contact . Tribology in Industry. 35. (4). p. 330-336.

(2013). Effect of Lubricant Viscosity and Surface Roughness on Coefficient of Friction in Rolling Contact . Tribology in Industry.

Sachin G. Ghalme(2012). Probabilistic Life Models in Rolling Contact Fatigue . AMR. 433-440. p. 58--62. Trans Tech Publications

M.P. Nagarkar, R.N. Zaware, S.G. Ghalme(2012). Finite element simulation of sink pass round tubes using Ansys . APTEFF. (43). p. 179--188. National Library of Serbia

BOOK CHAPTER

Dr. Sachin Ghalme(2022). Evaluating Wear Performance of Silicon Nitride-Hexagonal Boron Nitride Composite Using Taguchi Method . Research Aspects in Chemical and Materials Sciences Vol. 2. p. 1--11. Book Publisher International (a part of {SCIENCEDOMAIN} International)

Dr. Sachin Ghalme (2022). Evaluating Wear Performance of Silicon Nitride-Hexagonal Boron Nitride Composite Using Taguchi Method . Research Aspects in Chemical and Materials Sciences.

CONFERENCE PAPER

(2019). Evaluation of Silicon Nitride-hexagonal Boron Nitride for Bio-material Application. World Congress on Mechanical, Metallurgy and Materials Science (Metallurgy-2019).

(2018). Integrated Taguchi-artificial neural network approach for modeling and optimization of wear performance of Si3N4-hBN composite . AIP Conference Proceedings.

Ghalme, S., Mankar, A., Bhalerao, Y., Patil, M.(2018). Integrated Taguchi-artificial neural network approach for modeling and optimization of wear performance of Si <inf>3</inf> N <inf>4</inf> -hBN composite . AIP Conference Proceedings. 2018.

(2016). Optimization of Wear Performance of Silicon Nitride (Si3N4) - Hexagonal Boron Nitride (hBN) Composite against Steel (ASTM 316L) Counterface.

BOOK

Ghalme, S.G.(2012). Probabilistic life models in rolling contact fatigue . Advanced Materials Research. 433-440. p. 58-62.