Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

Data-driven methods provided smart manufacturing with unprecedented opportunities to
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …

Machine tools play a pivotal role in the manufacturing world since their performance
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …

Tool condition monitoring (TCM) has become essential to achieve high-quality machining as
well as cost-effective production. Identification of the cutting tool state during machining …

Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Tool wear monitoring has been an indispensable strategy for workshop operators to know
the tool wear state accurately. Tool wear monitoring system can illustrate the effects of …

This article focuses on turning superalloy Udimet 720, which is difficult to work with, using
different coolant/lubricant methods. The study includes delivering Graphene and Multi …

This study aims to present an overall review of the recent research status regarding Machine
Learning (ML) applications in machining processes. In the current industrial systems …

To monitor the tool wear state of computerized numerical control (CNC) machining
equipment in real time in a manufacturing workshop, this paper proposes a real-time …

Smart manufacturing is one of the key parts of the fourth industry revolution (Industry 4.0). It
offers promising perspectives for high reliability, availability, maintainability and safety …