International Journal of Metallurgical Engineering
p-ISSN: 2167-700X e-ISSN: 2167-7018
2013; 2(2): 161-178
doi:10.5923/j.ijmee.20130202.08
Shiv Brat Singh1, Tanmay Bhattacharyya1, 2, Ravi Ranjan1, Sandip Bhattacharyya2, Debashish Bhattacharjee2
1Department of Metallurgical and Materials Engineering, IIT Kharagpur
2R&D and SS, Tata Steel Limited
Correspondence to: Shiv Brat Singh, Department of Metallurgical and Materials Engineering, IIT Kharagpur.
Email: |
Copyright © 2012 Scientific & Academic Publishing. All Rights Reserved.
The need for light-weight auto bodies with improved crash resistance and other safety parameters has encouraged the development of a new family of multi-phase steels having higher strength and better formability. High strength TRIP aided steel is the ideal material for such applications, but developing a grade that has good formability, coatability and weldability is a major challenge. The present work has been undertaken to address the issues of coatability and weldability as well as to target a high strength - ductility balance. The work includes Thermo Calc calculations to study the phase relationships, thermo-mechanical simulation, prediction of microstructure through artificial neural network and laboratory experiments in hot-dip galvanising simulator. Routine characterisation was done for the assessment of microstructure and properties. Three experimental steels were prepared in a vacuum induction furnace. The as-cast ingots were forged and then hot and cold rolled. Laboratory salt bath heat treatment of the cold rolled samples was carried out following the standard two-step heat treatment cycle consisting of intercritical annealing and isothermal bainitic transformation to obtain the desired microstructure and target mechanical properties. As a part of weldability assessment, the heat treated samples were spot welded. A difficulty with TRIP steels is their poor wettability during galvanising due to the formation of oxides of silicon on the surface. Two of these three test grades had aluminium as the replacement for silicon to improve wettability. Dew point during thermal processing plays a critical role and affects the wettability. The two-step heat treatment described above followed by hot dip galvanising was simulated with varying dew points in hot dip galvanising (Rhesca) simulator to assess the coatability of the samples. Very good strength-elongation balance was obtained for all the three steels and the samples with lower silicon and higher dew point showed better wettability and coatability. Weldability studies revealed that the introduction of post weld tempering cycles improves the weld nugget geometry, breaking load and failure mode under tensile shear loading. Tensile studies at high strain rate revealed a satisfactory performance of the steel even at 100 s-1 suggesting the fitness to be used at the crash prone zones of automotives.
Keywords: trip (Transformation Induced Plasticity), Wettability, Weldability, Crash Resistance Crumpling
Cite this paper: Shiv Brat Singh, Tanmay Bhattacharyya, Ravi Ranjan, Sandip Bhattacharyya, Debashish Bhattacharjee, Structure-Property Correlation in TRIP Aided Steels, International Journal of Metallurgical Engineering, Vol. 2 No. 2, 2013, pp. 161-178. doi: 10.5923/j.ijmee.20130202.08.
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Figure 1. Process flow |
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Figure 2. Specified sample geometry for high strain rate testing. All dimensions are in mm. The thickness of all the samples varied between 1.2 to 1.4 mm |
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Figure 3. Variation of strength with respect to strain rate_ Grade1 |
Figure 4. Variation of strength with respect to strain rate_ Grade2 |
Figure 5. Variation of strength with respect to strain rate_ Grade3 |
Figure 6. Variation of elongation (total and uniform) with respect to strain rate_ Grade1 |
Figure 7. Variation of elongation (total and uniform) with respect to strain rate_ Grade2 |
Figure 8. Variation of elongation (total and uniform) with respect to strain rate_ Grade3 |
Figure 9. Variation of energy with respect to strain rate_ Grade1 |
Figure 10. Variation of energy with respect to strain rate_ Grade2 |
Figure 11. Variation of energy with respect to strain rate_ Grade3 |
Figure 12. Comparative diagram on energy variation with respect to strain rate |
Figure 13. Comparative diagram on variation of n-value with respect to strain rate |
Figure 14. Variation of strength ratio with respect to strain rate_ Grade1 |
Figure 15. Variation of strength ratio with respect to strain rate_ Grade2 |
Figure 16. Variation of strength ratio with respect to strain rate_ Grade3 |
Figure 17. Variation of Dynamic Factor against strain rate: a. Grade1, b. Grade 2, c. Grade 3 |
Figure 18. Engineering stress strain diagram for strain rates 1 and 100 s-1 with and without spline (sp) for Grade 1_Specimen 1 |
Figure 19. Engineering stress strain diagram for strain rates 1 and 100 s-1 with and without spline (sp) for Grade 2_Specimen 1 |
Figure 20. Engineering stress strain diagram for strain rates 1 and 100 s-1 with and without spline (sp) for Grade 3_Specimen 1 |
Figure 21. a to d show microstructure for Grade 2 after tensile test at 100 s-1 From fracture face towards the grip. Microstructure: Ferrite + Bainite + Austenite/ Martensite (white phase) |
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