Now showing items 1-5 of 5
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
Understanding Switched-Flux Machines: A MMF-Permeance Model and Magnetic Equivalent Circuit Approach
Due to their particular structure, switched-flux permanent magnet machines have become a very interesting alternative for many applications. This is why some recent studies have been focused in the understanding of the ...
Mechanical and electrical properties of additively manufactured copper
(IOP Publishing, 2021)
Additive Manufacturing (AM) has become the new paradigm of design and production strategies. While structural and functional materials are the most implemented ones, it is also possible to manufacture parts using precious ...
Slender workpiece cutting process stability prediction and monitoring based on internal signals
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)
Chatter is commonly found when machining slender components on a lathe due to the low stiffness and damping. Aspects such as accuracy and roughness are usually compromised owing to large variation in stiffness along the ...
Less Rare-Earth Electromagnetic Design for a High-Performance Permanent Magnet Motor
This paper presents an electromagnetic design alternative using the so-called banana-shaped magnets, achieving magnet weight reduction of 21.82% for the same performance as the baseline motor in the case study. Typically, ...