Novel Application of Alumina Nanoparticle-enriched Cutting Fluid for the Surface Integrity and Machining of 17-4PH Steel

Introduction: Stainless steel 17-4 PH is said to be a challenging material to cut due to its limited thermal conductivity. Early tool failure and inadequate surface finishing were observed because excessive cutting temperatures have a negative impact on productivity when machining 17-4 PH steel. Methods: Therefore, the present study explored the viability of alumina-reinforced ricebran oil (Al2O3 (80 nm)) nanoparticles with ricebran oil and divyol oil as lubricants. A diverse volume fraction of alumina was mixed with 5 vol. % rice bran oil ordivyol oil. Subsequently, twenty-seven turning operations were performed on the 17-4PH material in the optimal lubricating medium. When Al2O3 nanoparticles are added to rice bran oil, there is an 18.22% improvement in surface roughness. Results: The particle volumetric range that the authors chose was 0.25 vol.% to 1.25 vol.% to achieve equilibrium between the benefits of higher heat conductivity and the reduced pumping power resulting from high viscosity.The machining values were statistically analyzed via analysis of variance. In addition, response surface methodology (RSM) was employed to develop a mathematical equation linking the input and machining responses. Conclusion: A comparison of the two analyzed fluid systems revealed that the cutting force (Fz), feed force (Fx), thrust force (Fy), and surface roughness (Ra) of the Al2O3 mixed Rice Bran Oil cutting fluid were considerably lower than those of the other methods (8.89%, 4.659%, 9.1416%, and 18.22%, respectively).

Authors

Institutions

Publication Details

Journal
Current Nanomaterials
Published
2024-12-03
DOI
https://doi.org/10.2174/0124054615333986241004114240
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel Application of Alumina Nanoparticle-enriched Cutting Fluid for the Surface Integrity and Machining of 17-4PH Steel

Prince Jain, Ankit D. Oza, Vivek John, Saurabh Aggarwal et al.
Current Nanomaterials
Advanced machining processes and optimization
article

Novel Application of Alumina Nanoparticle-enriched Cutting Fluid for the Surface Integrity and Machining of 17-4PH Steel

Prince Jain, Ankit D. Oza, Vivek John, Saurabh Aggarwal, Manoj Kumar
article en

Abstract

Introduction: Stainless steel 17-4 PH is said to be a challenging material to cut due to its limited thermal conductivity. Early tool failure and inadequate surface finishing were observed because excessive cutting temperatures have a negative impact on productivity when machining 17-4 PH steel. Methods: Therefore, the present study explored the viability of alumina-reinforced ricebran oil (Al2O3 (80 nm)) nanoparticles with ricebran oil and divyol oil as lubricants. A diverse volume fraction of alumina was mixed with 5 vol. % rice bran oil ordivyol oil. Subsequently, twenty-seven turning operations were performed on the 17-4PH material in the optimal lubricating medium. When Al2O3 nanoparticles are added to rice bran oil, there is an 18.22% improvement in surface roughness. Results: The particle volumetric range that the authors chose was 0.25 vol.% to 1.25 vol.% to achieve equilibrium between the benefits of higher heat conductivity and the reduced pumping power resulting from high viscosity.The machining values were statistically analyzed via analysis of variance. In addition, response surface methodology (RSM) was employed to develop a mathematical equation linking the input and machining responses. Conclusion: A comparison of the two analyzed fluid systems revealed that the cutting force (Fz), feed force (Fx), thrust force (Fy), and surface roughness (Ra) of the Al2O3 mixed Rice Bran Oil cutting fluid were considerably lower than those of the other methods (8.89%, 4.659%, 9.1416%, and 18.22%, respectively).

Current NanomaterialsVol. 10(4)
Chandigarh University (IN), Uttaranchal University (IN), Parul University (IN), ABES Engineering College, Parul University (IN)
Openalex Percentile: Top 78%
Advanced machining processes and optimization
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.