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Methodology for evaluating effects of material characteristics on machinability-theory and statistics-based modelling applied on Alloy 718

Olovsjo, Stefan; Hammersberg, Peter; Avdovic, Pajazit LU ; Ståhl, Jan-Eric LU and Nyborg, Lars (2012) In International Journal of Advanced Manufacturing Technology 59(1-4). p.55-66
Abstract
The potential machinability for Alloy 718 (Inconel 718) is examined in terms of five material characteristics considered to play a key role in the machinability: ductility (elongation to fracture), strain hardening (ultimate tensile strength over yield strength), thermal conductivity, yield strength and abrasiveness (amount of carbides). The material characteristics are simulated with the software JMatPro from Sente software. The effects of composition, grain size, hardness (size of the precipitated intermetallic particles for given volume fraction), heat treatment, temperature and strain rate have been modelled and statistically evaluated. Combining thermodynamics-based modelling (JMatPro), design of experiments and statistical analysis... (More)
The potential machinability for Alloy 718 (Inconel 718) is examined in terms of five material characteristics considered to play a key role in the machinability: ductility (elongation to fracture), strain hardening (ultimate tensile strength over yield strength), thermal conductivity, yield strength and abrasiveness (amount of carbides). The material characteristics are simulated with the software JMatPro from Sente software. The effects of composition, grain size, hardness (size of the precipitated intermetallic particles for given volume fraction), heat treatment, temperature and strain rate have been modelled and statistically evaluated. Combining thermodynamics-based modelling (JMatPro), design of experiments and statistical analysis (Minitab), and machinability polar diagram, a concept on methodology to assess variations in material specifications and to optimise these specifications with respect to potential machinability has been developed. The mechanical properties, predicted from the meta-modelling are found to be affected by the same parameters: hardness (intermetallic particles characteristics), grain size, amount of aluminium, strain rate and temperature. The abrasiveness should only be affected by the amount of carbon. Simulated material characteristics for two different types of turbine discs were compared with measured tool wear from production environment machining experiments. Variations in material characteristics between the discs were small as well as the critical tool wear, revealing a robust metal cutting process. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Metal cutting, Alloy 718, Material properties, Machinability, JMatPro, Meta-modelling
in
International Journal of Advanced Manufacturing Technology
volume
59
issue
1-4
pages
55 - 66
publisher
Springer
external identifiers
  • wos:000300659200006
  • scopus:84857789441
ISSN
0268-3768
DOI
10.1007/s00170-011-3503-3
language
English
LU publication?
yes
id
c5b7f6a7-b14a-4426-a3b1-82b039563180 (old id 2390792)
date added to LUP
2012-03-27 14:24:14
date last changed
2017-08-06 03:11:18
@article{c5b7f6a7-b14a-4426-a3b1-82b039563180,
  abstract     = {The potential machinability for Alloy 718 (Inconel 718) is examined in terms of five material characteristics considered to play a key role in the machinability: ductility (elongation to fracture), strain hardening (ultimate tensile strength over yield strength), thermal conductivity, yield strength and abrasiveness (amount of carbides). The material characteristics are simulated with the software JMatPro from Sente software. The effects of composition, grain size, hardness (size of the precipitated intermetallic particles for given volume fraction), heat treatment, temperature and strain rate have been modelled and statistically evaluated. Combining thermodynamics-based modelling (JMatPro), design of experiments and statistical analysis (Minitab), and machinability polar diagram, a concept on methodology to assess variations in material specifications and to optimise these specifications with respect to potential machinability has been developed. The mechanical properties, predicted from the meta-modelling are found to be affected by the same parameters: hardness (intermetallic particles characteristics), grain size, amount of aluminium, strain rate and temperature. The abrasiveness should only be affected by the amount of carbon. Simulated material characteristics for two different types of turbine discs were compared with measured tool wear from production environment machining experiments. Variations in material characteristics between the discs were small as well as the critical tool wear, revealing a robust metal cutting process.},
  author       = {Olovsjo, Stefan and Hammersberg, Peter and Avdovic, Pajazit and Ståhl, Jan-Eric and Nyborg, Lars},
  issn         = {0268-3768},
  keyword      = {Metal cutting,Alloy 718,Material properties,Machinability,JMatPro,Meta-modelling},
  language     = {eng},
  number       = {1-4},
  pages        = {55--66},
  publisher    = {Springer},
  series       = {International Journal of Advanced Manufacturing Technology},
  title        = {Methodology for evaluating effects of material characteristics on machinability-theory and statistics-based modelling applied on Alloy 718},
  url          = {http://dx.doi.org/10.1007/s00170-011-3503-3},
  volume       = {59},
  year         = {2012},
}