Background: Today's production facilities must be efficient in both manufacturing and
maintenance. Efficiency enables the company to maintain the required output while …

The circular economy (CE) aims to decouple the growth of the economy from the
consumption of finite resources through strategies, such as eliminating waste, circulating …

The article aims to use the generated sound as operational information needed for adaptive
control of the metalworking process and early monitoring and diagnosis of the condition of …

Accurate prediction of cutting forces is critical in milling operations, with implications for cost
reduction and improved manufacturing efficiency. While traditional mechanistic models …

Accurate tool wear prediction during machining is crucial to manufacturing since it will
significantly influence tool life, machining efficiency, and workpiece quality. Although …

The smart manufacturing revolution is continuously enabling the manufacturers to achieve
their prime goal of producing more and more products with higher quality at a minimum cost …

What is digitalization, and why do we need it? What does digitalization mean for research
and development in polymer reaction engineering (PRE)? In this chapter, we address these …

Feature selection (FS) represents an essential step for many machine learning-based
predictive maintenance (PdM) applications, including various industrial processes …

This paper presents the implementation of a measurement system that uses a four
microphone array and a data-driven algorithm to estimate depth of cut during end milling …

Maintenance is among highest operational expenses in manufacturing companies, where
production assets can be extremely complex and expensive. It is very difficult to collect fault …