Bio-coolants for sustainable friction drilling process: A machine learning approach to temperature reduction

• The potential of novel bio-coolants such as fenugreek solution, coconut water, and their combinations, as sustainable alternatives to conventional coolants in green flow drilling applications. • A decision-tree platform is used to analyze the effects of bio-coolants at different friction-drilling speeds, providing optimal parameters for better machining results. • Fenugreek solution is identified as a promising candidate for cleaner manufacturing reducing the peak temperature to 216.3 °C at 550 rpm, demonstrating its potential for efficient temperature management. In current research, green friction-drilling is being used as a possible alternative to conventional drilling and environmentally friendly coolants are deployed. The current work envisages novel bio-coolants such as fenugreek solution, rose water solution, buttermilk solution, coconut water, fenugreek-coconut water solution and fenugreek-buttermilk solution. The decision-tree platform is employed to investigate the effects of bio-coolants on the peak temperature of friction-drilling at different friction-drilling speeds, showing the potential impact on machining. Regardless of the friction-drilling speed, fenugreek proves to be an efficient, environmentally friendly coolant for temperature reduction compared to other coolants used. The lowest temperature that could be achieved at 550 rpm was 216.3 °C. Plastic flow lines have been witnessed 1 mm in horizontal direction from inner edge of the bush and observed four to five mm downwards. Subsequently, brittle transition is explored due to friction generated heat and least material is occurred at the brittle region. Coolant application diminishes brittle formation and facilitates smooth bush formation. Decision-tree based analyses not only show optimal results, but also the different parameter combinations as options for the chosen process. Microstructural investigations are carried out in the cross-sectional area of the bushing obtained by using fenugreek as a coolant at 2100 rpm and compared with dry drilling. Investigations at the microscopic level show the effectiveness of the fenugreek solution in preventing ear defects (wavy edges) and reducing brittleness.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-04-17
DOI
https://doi.org/10.1016/j.rineng.2025.104959
Citations
2
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bio-coolants for sustainable friction drilling process: A machine learning approach to temperature reduction

R Sankaranarayanan, J. Angela Jennifa Sujana, Christian Robert, N. Rajesh Jesudoss Hynes
2 citations
Results in Engineering
Advanced machining processes and optimization
1.43
article

Bio-coolants for sustainable friction drilling process: A machine learning approach to temperature reduction

R Sankaranarayanan, J. Angela Jennifa Sujana, Christian Robert, N. Rajesh Jesudoss Hynes
article en
2 citations

Abstract

• The potential of novel bio-coolants such as fenugreek solution, coconut water, and their combinations, as sustainable alternatives to conventional coolants in green flow drilling applications. • A decision-tree platform is used to analyze the effects of bio-coolants at different friction-drilling speeds, providing optimal parameters for better machining results. • Fenugreek solution is identified as a promising candidate for cleaner manufacturing reducing the peak temperature to 216.3 °C at 550 rpm, demonstrating its potential for efficient temperature management. In current research, green friction-drilling is being used as a possible alternative to conventional drilling and environmentally friendly coolants are deployed. The current work envisages novel bio-coolants such as fenugreek solution, rose water solution, buttermilk solution, coconut water, fenugreek-coconut water solution and fenugreek-buttermilk solution. The decision-tree platform is employed to investigate the effects of bio-coolants on the peak temperature of friction-drilling at different friction-drilling speeds, showing the potential impact on machining. Regardless of the friction-drilling speed, fenugreek proves to be an efficient, environmentally friendly coolant for temperature reduction compared to other coolants used. The lowest temperature that could be achieved at 550 rpm was 216.3 °C. Plastic flow lines have been witnessed 1 mm in horizontal direction from inner edge of the bush and observed four to five mm downwards. Subsequently, brittle transition is explored due to friction generated heat and least material is occurred at the brittle region. Coolant application diminishes brittle formation and facilitates smooth bush formation. Decision-tree based analyses not only show optimal results, but also the different parameter combinations as options for the chosen process. Microstructural investigations are carried out in the cross-sectional area of the bushing obtained by using fenugreek as a coolant at 2100 rpm and compared with dry drilling. Investigations at the microscopic level show the effectiveness of the fenugreek solution in preventing ear defects (wavy edges) and reducing brittleness.

Results in EngineeringVol. 26
Opole University of Technology (PL), VSB - Technical University of Ostrava (CZ), Centre for Artificial Intelligence and Robotics (IN)
Narodowa Agencja Wymiany Akademickiej, National High-tech Research and Development Program
Responsible consumption and production
Openalex Percentile: Top 21%
Advanced machining processes and optimization
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.