Mechanical Properties and Simulation during Metal Milling Processing
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Powder Metallurgy".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 2965
Special Issue Editor
Interests: robotic machining; stability of machining operations; cutting force modeling and measurement; model identification; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the years, the simulation of machining processes has evolved from simple analytical laws, to complex multiphysics coupled models. The methods for engineers for highly competitive domains (airspace, automotive, aircrafts, etc.) need to optimize the production costs and reliable simulations models, in order to be able to reproduce the real examples that are needed.
The aim of this Special Issue is to collect state of the art research around various domains of expertise, such as mechanical engineering, material sciences, mathematics, and so on, about the milling process, regarding its simulations and its experimental validation. Aspects such as the prediction of cutting forces, prediction of surface integrity, evaluation of the mechanical properties of machined material, among others, will be welcome.
Topics of interest include the following:
- Modelling of cutting forces in milling operations by means of microscopic, mesoscopic, or macroscopic models;
- Determination of material properties relevant to the simulation of milling operations;
- Prediction of the quality of milled parts regarding dimensional tolerances, roughness, surface integrity, or residual stresses;
- Stability of operations against vibrations such as chatter;
- Advanced techniques (robotic milling, laser-assisted milling, cryogenic milling, hybrid milling, etc.).
Prof. Edouard Rivière-Lorphèvre
Guest Editor
Manuscript Submission Information
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Keywords
- milling
- numerical simulation
- mechanical properties
- surface finish
- experimental validation