Skip to Main content Skip to Navigation

Usinage à sec ou MQL : quantification et prise en compte des dilatations thermiques durant le process

Abstract : The application of MQL or dry machining in mass production becomes more and more accepted. Dry (MQL) machining is a very efficient solution to reduce the usage of cutting fluids and represents an effective measure for an environmental friendly production. However, these techniques do not benefit any more from the stabilization in temperature obtained with cutting fluids. More important and more heterogeneous increases of the temperature are observed. This leads to distortions of the work piece during machining which are necessary to be taken into account to maintain the geometrical quality of the manufactured surfaces.A model of the warm-up of a part during machining is presented. The obtained model allows to quantify heat introduced into the work piece for simple operations and to feign the distortions of a complex part when operations are enchained. This quantification is based on an inverse method. It is applied for reaming, drilling and tapping process for an aluminum alloy AS9U3. Secondly, a study about influence of operations organization is done. We use the model to quantify distortions an aluminum clutch case along machining. This study illustrates interest of the model and of tools developed during the PhD. In a last part, economic and environmental stakes of the MQL approach are discussed.
Document type :
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download
Contributor : ABES STAR :  Contact
Submitted on : Friday, January 24, 2014 - 3:17:08 PM
Last modification on : Saturday, August 6, 2022 - 3:07:17 AM
Long-term archiving on: : Saturday, April 8, 2017 - 11:49:14 PM


Version validated by the jury (STAR)


  • HAL Id : pastel-00936121, version 1


Henri-Francois Boyer. Usinage à sec ou MQL : quantification et prise en compte des dilatations thermiques durant le process. Autre. Ecole nationale supérieure d'arts et métiers - ENSAM, 2013. Français. ⟨NNT : 2013ENAM0018⟩. ⟨pastel-00936121⟩



Record views


Files downloads