Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ashwin Moris Devotta"'
Publikováno v:
Metals, Vol 10, Iss 4, p 519 (2020)
Machining process modeling has been an active endeavor for more than a century and it has been reported to be able to predict industrially relevant process outcomes. Recent advances in the fundamental understanding of material behavior and material m
Externí odkaz:
https://doaj.org/article/75bf3d793b1d49588efba69539b3be8e
Autor:
Ashwin Moris Devotta, P. V. Sivaprasad, Tomas Beno, Mahdi Eynian, Kjell Hjertig, Martin Magnevall, Mikael Lundblad
Publikováno v:
Metals, Vol 9, Iss 5, p 528 (2019)
In this study, the flow stress behavior of ferritic-pearlitic steel (C45E steel) is investigated through isothermal compression testing at different strain rates (1 s−1, 5 s−1, and 60 s−1) and temperatures ranging from 200 to 700 °C. The stres
Externí odkaz:
https://doaj.org/article/9fb5d5db7b314b4d81ffe3d7595970ca
The finite element (FE) method based modeling of chip formation in machining provides the ability to predict output parameters like cutting forces and chip geometry. One of the important characteristics of chip morphology is chip segmentation. Majori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8123f738ee5ff2048263d8d678fdecf6
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22358
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22358
The simulation of machining process has been an area of active research for over two decades. To fully incorporate finite element (FE) simulations as a state of art tool design aid, there is a need for higher accuracy methodology. An area of improvem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::059c3e40f05da177d4f0b53a8d44a9a7
Publikováno v:
International Journal of Machining and Machinability of Materials. 19:277
Finite element (FE) modelling of machining provide valuable insights into its deformation mechanics. Evaluating an FE model predicted chip morphology requires characterisation of chip shape, chip curl and chip flow angles. In this study, a chip morph