Superalloys 2004 (Tenth International Symposium) 2004
DOI: 10.7449/2004/superalloys_2004_887_896
|View full text |Cite
|
Sign up to set email alerts
|

A Fast Spreadsheet Model for the Yield Strength of Superalloys

Abstract: Simulation methods allow the possibility of overcoming some of the deficiencies of analytical models. In a recent work, we have developed a numerical model (the details of which are published elsewhere 7 ) that considers the actual microstructure of a superalloy and uses accurate descriptions of dislocation behavior to predict the critical resolved shear stress for a given microstructure. This numerical model captures the physics of the problem accurately (for cutting via single APB-coupled dislocation pairs a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
22
0

Year Published

2007
2007
2023
2023

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 43 publications
(23 citation statements)
references
References 19 publications
1
22
0
Order By: Relevance
“…With regard to the strengthening due to strong and weak pair coupling, the magnitude of strengthening predicted by the model is similar to that predicted by some recent two-dimensional dislocation glide models [63,64] but with somewhat different dependencies on APB energy and precipitate size.…”
Section: A Predicting Yield Strengthsupporting
confidence: 74%
“…With regard to the strengthening due to strong and weak pair coupling, the magnitude of strengthening predicted by the model is similar to that predicted by some recent two-dimensional dislocation glide models [63,64] but with somewhat different dependencies on APB energy and precipitate size.…”
Section: A Predicting Yield Strengthsupporting
confidence: 74%
“…The description of the solid solution strengthening contribution was based on the model proposed by Gypen and Deruyttere, [34] which assumes a superposition of strengthening of individual solutes based on their concentration in the matrix and precipitate phase, both of which were calculated using thermodynamic models in ThermoCalc. The empirical solid solution strengthening coefficients were derived from the work of Mishima et al [35] at 77 K and were further calibrated versus temperature using the trough model proposed by Roth et al [36] An average grain size of 15 lm was utilized in the calculations along with a grain size coefficient of 450 MPa lm À1/2 , as proposed by Parthasarathy et al [33] As the experimental yield strength data available was obtained on material aged using P-SHT1, the average secondary c¢ size obtained through image analysis for this condition (Figures 1(a) and (b)) was used as an input for the models, i.e., the secondary c¢ size was set to 152 nm for both alloys. However, as the elemental partitioning coefficients used in the calculations could not be experimentally obtained, ThermoCalc was used to estimate them and as a result, the volume fraction as predicted by ThermoCalc was also used in the calculations so as not change the underlying alloy composition.…”
Section: Discussionmentioning
confidence: 99%
“…[16] In order to further elucidate the mechanisms governing the tensile and creep behavior of the developmental alloys, and assess the applicability of current models to novel alloy compositions, modeling of the mechanical properties was performed, and the data were compared to the experimental results. The model described by Parthasarathy et al [33] was used in the predictions for the yield strength of the alloys. Several coefficients were required in the model, which were estimated using values available in the literature.…”
Section: Discussionmentioning
confidence: 99%
“…Processing-microstructure models are in active development [10,11] that could potentially model how processing paths can tailor such microstructural features. Microstructuremechanical property models are now being adapted to newer disk superalloys for high temperature applications [12]. Thus, a good understanding of the relationships between heat treatments, microstructures, and the relevant mechanical properties is necessary to allow design of processing paths that achieve microstructures with preferred combinations of properties at high rim temperatures.…”
Section: Introductionmentioning
confidence: 99%