Development and characterisation of C–Mn–Al–Si–Nb TRIP aided steel

Bhattacharyya, Tarun Kanti; Singh, Shiv Brat; Das, Sourav; Haldar, Arunansu; Bhattacharjee, D.

doi:10.1016/j.msea.2010.11.054

Cited by 76 publications

(31 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4(b), it is clear that the tempered samples had better mechanical properties, especially the sample solutiontreated at 800 1C had the optimal mechanical properties. This sample exhibited ultimate tensile strength of 1082 MPa, total elongation of 34.6%, and product of strength and elongation (PSE) of 37.4 GPa%; by contrast, the low alloy TRIP steels, at their optimal performance, demonstrated similar or lower plasticity with much lower tensile strength ( r850 MPa) [19,22,27,28], and the medium Mn TRIP steels, as shown in Table 1, had the same strength level with a lower or similar plasticity by additional cold-rolling work or prolonged annealing. As a great differences of microstructure and mechanical properties existed among the samples solution-treated at the given temperatures, the present work was focused on the sample solution-treated at 800 1C and then tempered (nominated as Sample 1).…”

Section: Microstructure and Mechanical Propertiesmentioning

confidence: 94%

See 1 more Smart Citation

Microstructural evolution and mechanical properties of hot-rolled 11% manganese TRIP steel

Cai

Ding

Xue

et al. 2013

Materials Science and Engineering: A

View full text Add to dashboard Cite

Section: Microstructure and Mechanical Propertiesmentioning

confidence: 94%

“…Aluminum, like silicon, has the same function in suppressing cementite formation. Furthermore, Al facilitates coating ability by forming an inhibition layer on the steel surface [19]. In view of above analyses, an attempt has been made to develop a Fe-11.02Mn-3.81Al-0.18C austenite matrix TRIP steel.…”

Section: Introductionmentioning

confidence: 99%

Microstructural evolution and mechanical properties of hot-rolled 11% manganese TRIP steel

Cai

Ding

Xue

et al. 2013

Materials Science and Engineering: A

View full text Add to dashboard Cite

“…[5][6][7][8][9] TRIP steels are ferritic-bainitic steels that contain a relevant fraction of retained austenite, which can be transformed into martensite during plastic deformation at room temperature. [5,6] DP steels consist of ferrite and martensite and are obtained by intercritical annealing followed by fast cooling. [7] MP steels are made in a similar manner, but their microstructures contain not only ferrite and martensite, but also bainite and small amounts of retained austenite.…”

Section: Introductionmentioning

confidence: 99%

Dissimilar Metal Active Gas Welding of TWIP and DP Steel Sheets

Spena

Matteis

Scavino

2014

steel research int.

View full text Add to dashboard Cite

In the last years, TWIP steels have been proposed for the fabrication of car-body components, due to their excellent combination of strength and toughness. However, a widespread usage of these steels for such applications is conditional on the employment of dissimilar welding with other automotive high-strength steel grades. In this study, dissimilar butt weld seams of TWIP and Dual Phase steel sheets fabricated by metal active gas welding are examined. The microstructural and mechanical characterization of the welded joints were carried out by optical metallography, microhardness, tensile testing, and fractographic examination. The heat affected zone on the TWIP side was fully austenitic and the only detectable effect was grain coarsening; on the dual phase side new martensite formed close to the fusion zone, while ferrite, and tempered martensite occurred away from the fusion zone. The welded tensile specimens exhibit a plastic behavior influenced by the TWIP steel, even though with more limited tensile strengths and elongation at fractures. The tensile specimens predominantly broke within the weld seams, with the fractures surfaces being ductile.

show abstract

“…The application of intelligent modelling approaches such as neural networks is relatively new in this area but there are some examples in the literature concerning titanium alloys [9,10] as wll as several for different steel alloys compositions and different strength characteristics accounting [2,4,5].…”

Section: Introductionmentioning

confidence: 99%

Neural Networks Approach to Optimization of Steel Alloys Composition

Koprinkova–Hristova

Tontchev

Popova

2011

Engineering Applications of Neural Networks

View full text Add to dashboard Cite

Abstract. The paper presents modeling of steels strength characteristics in dependence from their alloying components quantities using neural networks as nonlinear approximation functions. Further, for optimization purpose the neural network models are used. The gradient descent algorithm based on utility function backpropagation through the models is applied. The approach is aimed at synthesis of steel alloys compositions with improved strength characteristics by solving multi-criteria optimization task. The obtained optimal alloying compositions fall into martenzite region of steels. They will be subject of further experimental testing in order to synthesize new steels with desired characteristics.

show abstract

Development and characterisation of C–Mn–Al–Si–Nb TRIP aided steel

Cited by 76 publications

References 30 publications

Microstructural evolution and mechanical properties of hot-rolled 11% manganese TRIP steel

Microstructural evolution and mechanical properties of hot-rolled 11% manganese TRIP steel

Dissimilar Metal Active Gas Welding of TWIP and DP Steel Sheets

Neural Networks Approach to Optimization of Steel Alloys Composition

Contact Info

Product

Resources

About