Surface conditioning in machining: optimizing component performance through advanced process modeling and control

Abstract

AbstractThis Special Issue showcases a broad spectrum of fundamental research targeting the in-line measurement and assessment of surface conditions in machining operations. It presents and discusses various measurement approaches, including those based on acoustic emission, micromagnetic fields, the Seebeck effect, and other techniques. These methods are explored for their effectiveness in assessing and ensuring the quality of machined surfaces. The collected research delves into surface modeling techniques and investigates diverse strategies for predicting the effects of process parameters on surface integrity. It also focuses on the strategic selection of these parameters to enhance final component performance. There is a significant emphasis on the evolution of in-process control methods, which are crucial for elevating the quality and functionality of machined surfaces and facilitating unmanned manufacturing. These advancements are instrumental in improving manufacturing efficiency and augmenting the quality of the final products.