April
26
2018
Tagged under
Published in Publications

Optimizing cutting parameters for energy efficient CNC milling

Rosa Basagoiti, Miren Illarramendi, Krystian Adam KuzniarekXavier BeudaertMichael Benguigui

MGEP, Mondragon, Spain

 

Abstract

Energy efficiency is a very important issue for a sustainable manufacturing. Machining of parts is a very time consuming process and it is directly linked with the energy consumption and its ef ciency. The energy consumption depends on some process parameters such as spindle speed and feed rate. In cloud manufacturing environments, the deployed services can use cloud computing resources and parallelization power in order to optimize the cutting coefficients for the different machining operations inside a machining task that better t the user requests. First trials for the energy consumption reduction for part machining while saving Time and improving Material Removed Rate(MRR) is the aim of this work. For that, Spindle speed and Feed rate input parameters have been analyzed from different simulations and multiobjective optimization approach has been considered. In the presented work, a simple use case has been performed and its results con rmed the correctness of the approach.

 

Proceedings in II Jornadas de Computación Empotrada y Reconfigurable (JCER, 2017) 

ISBN-13: 978-84-697-4835-0

 

Last modified on Monday, 30 April 2018 16:18
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