Effect of ageing temperature after tensile pre deformation on shape memory effect and precipitation process of Cr23C6 carbide in a FeMnSiCrNiC alloy

Shi-wei, Yang; Li, N.; Wen, Yong Hai; Peng, Huabei

doi:10.1016/j.msea.2011.09.018

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…In the case of alloy 2, the magnetizations at 15 000 Oe were almost the same before and after the optimum thermomechanical treatment, whose annealing temperature was 1073 K. This result indicated that there was little α′ martensite in alloy 2. Furthermore, our previous work showed that the suitable annealing temperature for precipitating Cr 23 C 6 particles is 1073 K [26]. Therefore, the granular particles in figures 3(c) and (d) were the Cr 23 C 6 phase, according to the results of XRD and magnetization curves.…”

Section: Solution Treatmentmentioning

confidence: 86%

“…In the case of thermomechanical-treated alloy 2, our previous study [26] showed that the suitable annealing temperature for precipitating Cr 23 C 6 particles is 1073 K, and it is difficult for Cr 23 C 6 particles to precipitate when the annealing temperature is below or above 1073 K. Furthermore, Cr 23 C 6 particles can nucleate at dislocations, stacking faults, and γ/ε interfaces, in addition to the collisions between ε martensite bands [21]. Accordingly, the Cr 23 C 6 particles form at more sites, as compared with the α′ martensite (figure 3).…”

Section: Effect Of Carbon Addition On Microstructures After Optimum T...mentioning

confidence: 99%

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Role of carbon in improving the shape memory effect of Fe–Mn–Si–Cr–Ni alloys by thermo-mechanical treatments

Peng¹,

Song²,

Wang³

et al. 2015

Smart Mater. Struct.

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To clarify the role of carbon in improving the shape memory effect of Fe-Mn-Si-based shape memory alloys by thermomechanical treatments, we investigated the effect of optimum thermomechanical treatments on shape memory effect and microstructures of Fe-14Mn-5Si-8Cr-4Ni and Fe-14Mn-5Si-8Cr-4Ni-0.12C alloys. The Cr 23 C 6 particles in optimum thermomechanical-treated Fe-14Mn-5S-8Cr-4Ni-0.12C more effectively prevented collisions between stress-induced ε martensite bands than the residual α′ martensite in optimum thermomechanical-treated Fe-14Mn-5Si-8Cr-4Ni. This result is attributed to the thinner width of stress-induced ε martensite bands in optimum thermomechanical-treated Fe-14Mn-5S-8Cr-4Ni-0.12C compared to optimum thermomechanical-treated Fe-14Mn-5Si-8Cr-4Ni. In addition, the Cr 23 C 6 particles formed at more sites and provided more obstacles as compared with the residual α′ martensite. Accordingly, the recovery strain of Fe-14Mn-5Si-8Cr-4Ni-0.12C was higher than that of Fe-14Mn-5Si-8Cr-4Ni. It is concluded that carbon addition is beneficial to further improving the shape memory effect of Fe-Mn-Si-based shape memory alloys by thermomechanical treatments.

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Section: Solution Treatmentmentioning

confidence: 86%

Section: Effect Of Carbon Addition On Microstructures After Optimum T...mentioning

confidence: 99%

Role of carbon in improving the shape memory effect of Fe–Mn–Si–Cr–Ni alloys by thermo-mechanical treatments

Peng¹,

Song²,

Wang³

et al. 2015

Smart Mater. Struct.

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show abstract

“…Recently, much attention has been focused on shape memory materials. Among them, Fe-Mn-Si SMM has unique properties of low cost production and good weldability [7][8]. Fe-Mn-Si SMM also possesses excellent mechanic properties such as wear and contacting fatigue resistance, which are critical performance for AISI 304 stainless steel working under aggressive service conditions [9][10], therefore, the Fe-Mn-Si SMM coating prepared by laser cladding can provide with a good prospects of local repair in theory.…”

Section: Introductionmentioning

confidence: 99%

Coating of Fe-Mn-Si Shape Memory Materials on AISI 304 Stainless Steel by Laser Cladding Method

Lin

et al. 2013

AMM

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Using laser cladding method, the coating of Fe-Mn-Si shape memory materials (SMM) was prepared on the surface of AISI 304 stainless steel. The microstructure and microhardness of SMM laser cladding coating were measured by using a metallographic microscope and a scanning electron microscope, respectively. The phase composition was determined by X-ray diffraction. The wear resistance was evaluated on a high speed reciprocating friction tester. The results show that microhardness of the SMM coating is about Hv263, higher than that of the substrate (Hv225); the SMM coating is composed of ε-martensite and γ-austenite phases; the average friction coefficient of the substrate and SMM coating is about 0.85 and 0.71; the SMM laser cladding coating is of excellent wear resistance validated by friction coefficient, worn-out appearance and wear loss.

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Aging precipitation behaviors of Nb-contained 316LN SS

Xia

Zhou

et al. 2017

Journal of Alloys and Compounds

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Effect of ageing temperature after tensile pre deformation on shape memory effect and precipitation process of Cr23C6 carbide in a FeMnSiCrNiC alloy

Cited by 7 publications

References 25 publications

Role of carbon in improving the shape memory effect of Fe–Mn–Si–Cr–Ni alloys by thermo-mechanical treatments

Role of carbon in improving the shape memory effect of Fe–Mn–Si–Cr–Ni alloys by thermo-mechanical treatments

Coating of Fe-Mn-Si Shape Memory Materials on AISI 304 Stainless Steel by Laser Cladding Method

Aging precipitation behaviors of Nb-contained 316LN SS

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