An Efficient Methodology towards Mechanical Characterization and Modelling of 18Ni300 AMed Steel in Extreme Loading and Temperature Conditions for Metal Cutting Applications

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Tiago E. F. Silva (Author) Other; Afonso V. L. Gregório (Author) Other; Abílio M. P. de Jesus (Author) FEUP; Pedro A. R. Rosa (Author) Other

Journal

Title: Journal of Manufacturing and Materials Processing

Vol. 235

Pages: 1-83

Publisher: MDPI

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00V-EE4

DOI: 10.3390/jmmp5030083

Abstract (EN): A thorough control of the machining operations is essential to ensure the successful post-processing of additively manufactured components, which can be assessed through machinability tests endowed with numerical simulation of the metal cutting process. However, to accurately depict the complex metal cutting mechanism, it is not only necessary to develop robust numerical models but also to properly characterize the material behavior, which can be a long-winded process, especially for state-of-stress sensitive materials. In this paper, an efficient mechanical characterization methodology has been developed through the usage of both direct and inverse calibration procedures. Apart from the typical axisymmetric specimens (such as those used in compression and tensile tests), plane strain specimens have been applied in the constitutive law calibration accounting for plastic and damage behaviors. Orthogonal cutting experiments allowed the validation of the implemented numerical model for simulation of the metal cutting processes. Moreover, the numerical simulation of an industrial machining operation (longitudinal cylindrical turning) revealed a very reasonably prediction of cutting forces and chip morphology, which is crucial for the identification of favorable cutting scenarios for difficult-to-cut materials.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 35