A basic study on predicting in-process energy consumption in machining based on specific energy consumption

Abstract

Awareness of energy consumption has been recognized as one critical activities in modern manufacturing. It is important to predict accurately power consumption per unit manufacturing process, in order to enhance energy-saving strategy in product design, process planning and also manufacturing operations. This study proposes a new analytical model to predict power consumption in metal machining based on specific energy intensity, which has a close relation to production rate such as material removal rate. Through machining experiments by using a developed measurement system, we demonstrate that our model can be substantially distinguished from conventional empirical models, and that the proposed model can estimate power consumption with high accuracy and robustness.