AI for tribology: Present and future
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …
[HTML][HTML] Exploring the potential of nano technology: A assessment of nano-scale multi-layered-composite coatings for cutting tool performance
Abstract Nano-scale Multi-layered Composite Coatings (Nano scale MLCC) offer potential
benefits for cutting tool performance. Such coatings can be designed to improve tool …
benefits for cutting tool performance. Such coatings can be designed to improve tool …
[PDF][PDF] Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052.
Digital Twin (DT) is a virtual representation of a product system that exhibits the properties
and analyzes the system's functions. The significant impact of DT extends to several fields …
and analyzes the system's functions. The significant impact of DT extends to several fields …
Controlling Gate Valves with Wi-Fi: An Overview of Available Technologies and Applications
V Naveenprabhu, S Hariharan… - 2023 9th …, 2023 - ieeexplore.ieee.org
This research review article examines the use of Wi-Fi to control gate valves. It provides an
overview of the available technologies and applications that are available to control gate …
overview of the available technologies and applications that are available to control gate …
Novel approach to monitoring the surface integrity of aluminum 5052 using sound and vibration signals during turning with titanium-coated carbide inserts
R Suresh Kumar, S Naveen, V Suresh… - Journal of Materials …, 2024 - Springer
This study presents a novel approach for online monitoring of surface roughness in the
context of Industry 4.0. Aluminum 5052 is machined, and the sound emitted is captured with …
context of Industry 4.0. Aluminum 5052 is machined, and the sound emitted is captured with …
Investigating the effects of draft tube and its properties on Francis turbine performance–A critical review
K Sathish, K Manickaraj, C Vanchimuthu… - AIP Conference …, 2024 - pubs.aip.org
Hydropower is a widely used source of RE worldwide, and understanding the operating
performance of its components is essential for its optimal utilization. Francis turbines are the …
performance of its components is essential for its optimal utilization. Francis turbines are the …
[HTML][HTML] A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning
S Kano - Machines, 2025 - mdpi.com
Tribology plays a critical role in machining technologies. Friction is an essential factor in
processes such as composite material machining and bonding. This short review highlights …
processes such as composite material machining and bonding. This short review highlights …
The Performance Enhancement of Image Segmentation Technique based on VLSI Technology
Image segmentation is essential when processing images for medical purposes. The weak
image contrast and scattered organ or tissue borders make it challenging to segment …
image contrast and scattered organ or tissue borders make it challenging to segment …
Effect of ion exchange resin membranes and activated carbon electrodes in water desalination using capacitive deionization technique with saline streams
Water contamination is increasing drastically today, and the government consistently works
to reduce water pollution. This paper focuses on desalinating saline water using a capacitive …
to reduce water pollution. This paper focuses on desalinating saline water using a capacitive …
Exploring the Potential of Integrating Machine Tool Wear Monitoring and ML for Predictive Maintenance-A Review
S Ganeshkumar - Journal of Advanced Mechanical …, 2023 - research.jamsjournal.com
This research review article explores the potential of integrating machine tool wear
monitoring and ML algorithms for predictive maintenance. It synthesizes the latest research …
monitoring and ML algorithms for predictive maintenance. It synthesizes the latest research …