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Journal of Materials Science

, Volume 42, Issue 12, pp 4276–4290 | Cite as

Calorimetric studies of 8090 and 1441 Al–Li–Cu–Mg–Zr alloys of conventional and retrogressed and reaged tempers

  • K. S. Ghosh
  • K. Das
  • U. K. Chatterjee
Article

Abstract

The differential scanning calorimetry (DSC) technique has been used to examine the solid state reactions of GPB zones formation, precipitation of δ′, T1, T2, S′, δ phases and their dissolution occurring in the 8090 and 1441 Al–Li–Cu–Mg–Zr alloys of the water-quenched (WQ), peak aged T8 and T6, over aged T7, retrogressed (R), retrogressed and reaged (RRA) T77 tempers. All the exothermic and endothermic peaks in the DSC thermograms have been identified and discussed. The noticeable differences observed in the thermograms of the 8090 and 1441 alloys have been explained and this is attributed to the variation in the concentrations of the solute elements Li, Cu and Mg in the alloys. The peak temperatures as well as the heat evolved and absorbed during the precipitation and dissolution reactions have been determined with the help of the built-in software of the simultaneous thermal analyzer (STA) used for DSC studies. X-ray diffractograms and a few TEM micrographs have been illustrated to correlate the reactions in these alloys. Further, all the thermograms of the WQ state of the 1441 alloy, taken at four different heating rates, have exhibited overlapping peaks of GPB zones formation and the δ′ phase precipitation. The overlapping peaks cause restrictions in determining the kinetic parameters of activation energy and growth parameter, but, interestingly, the thermograms of retrogressed tempers have showed separate peaks of GPB zones formation and δ′ phase precipitation which will easily enable to find out kinetic parameters, by varying heating rate method.

Keywords

Differential Scanning Calorimetry Differential Scanning Calorimetry Thermogram Peak Region Dissolution Reaction Differential Scanning Calorimetry Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to thank Mr. Samar Das, National Metallurgical Laboratory, Jamshedpur for TEM studies and Mr. Nirmal Das, Central Research Facility, Indian Institute of Technology, Kharagpur, India for carrying out DSC runs. The authors also thank to Prof. M. Hanumantha Rao, Professor and Dean (Academic) of National Institute of Technology, Warangal, India and Prof. M. J. Starink, Professor of University of Southampton for their valuable technical suggestions.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.Department of Metallurgical and Materials EngineeringNational Institute of TechnologyWarangalIndia
  2. 2.Department of Metallurgical and Materials EngineeringIndian Institute of TechnologyKharagpurIndia

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