In the pursuit of smart manufacturing, predictive maintenance (PdM) holds significant
importance as it allows manufacturing firms to effectively mitigate avoidable downtime and …

Interactions between light and matter during short-pulse water-jet guided laser materials
processing are highly nonlinear, and acutely sensitive to laser machining parameters …

In the era of Industry 4.0 and the digital transformation of the manufacturing sector, this
article explores the significant potential of machine learning (ML) and deep learning (DL) …

Following sustainability in manufacturing, the machining chain can be optimized by either
reducing the time and energy consumption of each operation or eliminating the unnecessary …

The application of machine learning promises great growth potential for industrial
production. The development process of a machine learning solution for industrial use cases …

It is critical to have an accurate prediction of surface roughness (Sa) in order to improve
grinding productivity, reduce costs, and minimize the period of time required for trials and …

Abrasive slurry and water jets can be used together with erosion-resistant masks to rapidly
machine micro-pockets. However, the use of masks can result in an undesirable erosion and …

Accurate surface roughness prediction is critical for ensuring high product quality, especially
in sectors such as manufacturing, aerospace, and medical devices, where the smallest …

Today, humanity faces the complex phenomenon of global development. Problems such as
limited resources, financial constraints, time constraints, and the involved nature of issues …

As modern manufacturing progresses, demands for product quality and precision
continuously increase. Ultra-precision machine tools, serving as carriers for high-accuracy …