Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning.
This study aimed to investigate the impact of a lubricant derived from trimethylolpropane trioleate on power consumption and surface roughness during high-speed drilling of Al-6061, with the goal of developing an environmentally friendly cutting fluid. The study investigated the impact of additive c...
Saved in:
Main Authors: | Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0312544 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data
by: Nagesh Tambake, et al.
Published: (2025-01-01) -
Effect of MMT-HNT Hybrid Nanoclay on Properties of UHMWPE Composite
by: Rania Hasan, et al.
Published: (2024-01-01) -
Optimization of WEDM process parameters for machining hybrid composites (LM6/B4C/Fly Ash)
by: Jayavelu Udaya Prakash, et al.
Published: (2025-01-01) -
Calculation and Estimation of Surface Roughness and Energy Consumption in Milling of 6061 Alloy
by: Burak Öztürk, et al.
Published: (2020-01-01) -
Effect of depth of cut (DOC) and degree of serrations (DOS) on surface roughness of aluminum 6061
by: Muhammad Sukroni, et al.
Published: (2023-06-01)