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Complex Weldment Properties: Trends in Predictive Power

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Presentation on theme: "Complex Weldment Properties: Trends in Predictive Power"— Presentation transcript:

1 Complex Weldment Properties: Trends in Predictive Power

2 Colleagues H. S. Lalam, M. Murugananth, T. Sourmail, D. J. C. MacKay, T. Cool E. A. Metzbower, D. Moon L. Karlsson L.-E. Svensson E. Keehan, H.-O. Andren

3 Goldak’s (1990) grand challenges for the year 2000
residual stress microstructure use of fracture mechanics use of continuum damage mechanics weld pool arc models multipass welds distortion during repairs hydrogen cracking hot cracking

4 critical stress intensity
Charpy fatigue tensile critical stress intensity corrosion

5 Axioms All properties can be measured.
Measurements can be used in safe design. Measurements can be used in control. Self evident truth, statement which commands general belief, an unverifiable although widely accepted fact

6 Dogma Given a comprehensive description of material, process and structure, it is not yet possible to predict most properties. Dogma - statement of belief

7 hardness

8 Variables C, Mn, Si, Ni, Cr, Mo, V, Co, B, N, O…..
Thermomechanical processing of steel Welding consumable Welding parameters Subsequent heat treatment

9 MULTIPASS ARC WELD Weld macro L.-E. SVENSSON

10 Loureiro & Fernandes, 1994

11 Ion, Easterling and Ashby, 1984

12 Ion, Easterling and Ashby, 1984

13 Ion, Easterling and Ashby, 1984

14 Ion, Easterling and Ashby, 1984

15 100 µm

16 Fe-1Mn-C wt % manual metal arc welds
0.2 0.4 0.6 0.8 1.0 Allotriomorphic Volume fraction Widmanstatten Acicular 0.11 0.09 0.07 0.05 0.03 Carbon / wt %

17

18 Young & Bhadeshia, 1994

19

20 Tempering Bhadeshia & Downs, 2002

21 Bhadeshia & Downs, 2002

22 Bhadeshia & Downs, 2002

23 Conclusions There are useful ways of expressing hardness
Limited models relating hardness to microstructure No method for predicting hardness in general Dogma - statement of belief

24 large numbers of variables uncertainties exploit large knowledge base
Solution non-linear functions large numbers of variables uncertainties exploit large knowledge base Dogma - statement of belief

25 non-linear functions

26 (Bayesian inference) Dogma - statement of belief

27 Bayesian inference Dogma - statement of belief

28 prior beliefs

29 the data

30 Baye’s rule likelihood prior

31 Baye’s rule

32 y x

33

34 Benefits Quantitative prediction of mechanical properties, minimal dangers of extrapolation New science New products New industries Dogma - statement of belief

35 Murugananth & Bhadeshia, 2002

36 Moon, Murugananth & Bhadeshia, 2002

37 Progress on material properties
yield strength UTS reduction of area elongation Charpy fatigue creep rupture creep ductility ductile tear microstructure complex deformation ……………………...

38 Components of Creep Strength, 2.25Cr1Mo
iron + microstructure 550 °C solid solution 600 °C precipitates Murugananth & Bhadeshia, 2001

39 elements in solution Murugananth & Bhadeshia, 2001

40 integrated model Summerfield et al., 1995

41 Siemens Mitsui Babcock Nippon Steel ABB

42 Remove gaussian assumption. Use method to define experiments.
Reverse predictions Dogma - statement of belief

43 Recommendation Model mechanical properties with non-linear methods, large numbers of variables, within a Bayesian framework, exploiting all available data


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