An extensive review on sustainable developments of dry and near-dry electrical discharge machining processes

S Boopathi - Journal of Manufacturing Science and …, 2022 - asmedigitalcollection.asme.org
Electrical discharge machining (EDM) is very essential unconventional electrothermal
machining process to machine the contour profile of hard materials in modern production …

Synthetic biology for waste water to energy conversion: IOT and AI approaches

N Venkateswaran, SS Kumar, G Diwakar… - … of Synthetic Biology in …, 2023 - igi-global.com
Abstract Waste-to-energy (WtE) is a process that generates electricity and heat from waste
treatment or processing into fuel sources. WtE can reduce greenhouse gas emissions …

Application of TOPSIS Optimization Technique in the Micro-Machining Process

B Sampath, C Sasikumar, S Myilsamy - Trends, Paradigms, and …, 2023 - igi-global.com
Multi-criteria optimization techniques have been applied to predict the best alternative
solutions to meet the best results for all attributes. In the micro-machining processes, the …

Experimental investigation and multi-objective optimization of eco-friendly near-dry electrical discharge machining of shape memory alloy using Cu/SiC/Gr composite …

NV Gowri, JN Dwivedi, K Krishnaveni… - … Science and Pollution …, 2023 - Springer
The near-dry electrical discharge machining processes have been conducted using air-mist
or gas mist as a dielectric fluid to minimize the environmental impacts. In this article, near-dry …

Cryogenically treated and untreated stainless steel grade 317 in sustainable wire electrical discharge machining process: A comparative study

S Boopathi - Environmental Science and Pollution Research, 2023 - Springer
In this research, the influences of cryogenically treated stainless steel grade 317 on the eco-
friendly near-dry wire-cut electrical discharge machining (NDWEDM) processes have been …

Machine learning and artificial intelligence in disease prediction: Applications, challenges, limitations, case studies, and future directions

K Ramudu, VM Mohan, D Jyothirmai… - … Applications of Data …, 2023 - igi-global.com
Artificial intelligence (AI) based disease identification has the potential to transform medicine
by utilizing machine learning algorithms and techniques to analyze large volumes of …

An investigation on gas emission concentration and relative emission rate of the near-dry wire-cut electrical discharge machining process

S Boopathi - Environmental Science and Pollution Research, 2022 - Springer
Wire-cut electrical discharge machining (WEDM) is the highly essential unconventional
electrothermal machining process to cut the contour profile in the hard materials in modern …

Internet of things and machine learning-integrated smart robotics

BU Maheswari, SS Imambi, D Hasan… - … on Robotics and …, 2023 - igi-global.com
Robotics has been a mainstay of modern manufacturing, and it is now being employed more
and more for surveillance, military, and entertainment applications. While rescue robots are …

Cloud Computing Principles for Optimizing Robot Task Offloading Processes

U Rahamathunnisa, K Sudhakar… - AI-Enabled Social …, 2023 - igi-global.com
In this chapter, the integration of two rapidly evolving concepts for integration of robotics and
cloud computing has been illustrated. Intelligent robots should be preferred over low-cost …

[HTML][HTML] Experimental investigations on cryogenic friction-stir welding of similar ZE42 magnesium alloys

P Trojovský, V Dhasarathan, S Boopathi - Alexandria Engineering Journal, 2023 - Elsevier
In this research, the cryogenic friction stir welding (CFSW) process has been performed
using a liquid nitrogen medium to join two similar ZE42 magnesium alloy plates. The new …