Local Strain Distribution Arising in Shape Memory Alloy Composite Subjected to Thermal Loading

Murasawa, Go; Yoneyama, Satoru

doi:10.2320/matertrans.47.766

Cited by 9 publications

(3 citation statements)

References 22 publications

(33 reference statements)

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“…Alternatively, Faiella et al [132] utilized a vacuum infusion process to avoid reverse transformation during curing. To consider the load transfer in such cases, Digital Image Correlation (DIC) techniques have been used to determine the strain field in an SMA fiber embedded in an epoxy matrix [307] while Raman spectroscopy and thermography have been used to quantify residual stress fields in a fiber embedded in a PC-SMA composite [63]. With respect to NiTi reinforced glass fiber composites, Jang and Kishi [195] characterized the strength of the resultant composites as a function of orientation.…”

Section: Processing Methodologies and Properiesmentioning

confidence: 99%

Review and perspectives: shape memory alloy composite systems

et al. 2015

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Following their discovery in the early 60's, there has been a continuous quest for ways to take advantage of the extraordinary properties of shape memory alloys (SMAs). These intermetallic alloys can be extremely compliant while retaining the strength of metals and can convert thermal energy to mechanical work. The unique properties of SMAs result from a reversible difussionless solid-to-solid phase transformation from austenite to martensite. The integration of SMAs into composite structures has resulted in many benefits, which include actuation, vibration control, damping, sensing, and selfhealing. However, despite substantial research in this area, a comparable adoption of SMA composites by industry has not yet been realized. This discrepancy between academic research and commercial interest is largely associated with the material complexity that includes strong thermomechanical coupling, large inelastic deformations, and variable thermoelastic properties. Nonetheless, as SMAs are becoming increasingly accepted in engineering applications, a similar trend for SMA composites is expected in aerospace, automotive, and energy conversion and storage related applications. In an effort to aid in this endeavor, a comprehensive overview of advances with regard to SMA composites and devices utilizing them is pursued in this paper. Emphasis is placed on identifying the characteristic responses and properties of these material systems as well as on comparing the various modeling methodologies for describing their response. Furthermore, the paper concludes with a discussion of future research efforts that may have the greatest impact on promoting the development of SMA composites and their implementation in multifunctional structures.

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Section: Processing Methodologies and Properiesmentioning

confidence: 99%

Review and perspectives: shape memory alloy composite systems

et al. 2015

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“…Many studies have been carried out, but most of them are TiNi SMA ber/resin matrix system 7,8) or TiNi SMA ber/ Al matrix system. As former examples, studies on TiNi SMA ber reinforced epoxy matrix composite have been reported 9,10) . As latter studies, many methods are proposed to fabricate the Al matrix smart composite with the TiNi SMA bers, including vacuum sintering method 11) , hot isostatic pressing (HIP) method 4) , vacuum hot press of TiNi SMA bers with sheet shaped Al matrix 12,13) .…”

Section: Introductionmentioning

confidence: 99%

Fabrication of Fe-Mn-Si-Cr Shape Memory Alloy Fiber/Aluminum Matrix Smart Composite by Casting

2016

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If the composites are reinforced by the shape memory alloy (SMA) ber that shrinks in the matrix, one can introduce an arti cial compressive residual stress along the direction of the shrinkage. In our previous study, an SMA ber/plaster smart composite, using Fe-Mn-Si-Cr alloy bers, was fabricated and it was found that the bending strength of the composite was improved by the compressive stress due to the shape recovery force of the SMA bers. However, the imperfect bonding at interface between SMA ber and plaster matrix decreased the bending strength of fabricated composite. In this study, Al matrix smart composites containing Fe-Mn-Si-Cr SMA bers are studied, since it is well known that Fe and its alloys react with Al. Straight Fe-28.2mass%Mn-6.03mass%Si-5.11mass%Cr SMA bers were arranged on the ber holder, they were immersed into a mold with molten Al. During this step, ferrous SMA reacted with Al at ber/matrix interface, results in the good bonding strength at interface. After solidi cation, ferrous SMA ber/Al matrix composite could be obtained. This composite was subjected to the rolling deformation to induce the martensitic transformation from γ austenite to ε martensite in SMA bers. Then the composite was heated to induce the reverse transformation from ε martensite to γ austenite. The ferrous SMA bers in the composite shrank during this reverse transformation, which could induce tensile stress in bers and compressive stress in the matrix. This compressive stress in the matrix is a key factor that enhances the mechanical properties of such smart composite. Mechanical properties of fabricated smart composites were also studied.

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“…Murasawa, and Yoneyama [30] characterized strain field around thermally actuated NiTi fibers in smart SMA polymer composite by the Digital Image Correlation method. Neither of earlier studies, as far as we know, gave detailed quantitative information on the variation of internal stress field around the inclusion with temperature.…”

Section: Internal Stress Field Around the Niti Insertmentioning

confidence: 99%

Internal stresses in steel plate generated by shape memory alloy inserts

et al. 2012

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Neutron strain scanning was employed to investigate the internal stress fields in steel plate coupons with embedded prestrained superelastic NiTi shape memory alloy inserts. Strain fields in steel were evaluated at T=21°C and 130 °C on virgin coupons as well as on mechanically and thermally fatigued coupons. Internal stress fields were evaluated by direct calculation of principal stress components from the experimentally measured lattice strains as well as by employing inverse FE modelling approach. It is shown that if the NiTi inserts are embedded into the elastic steel matrix following a carefully designed technological procedure, the internal stress fields vary with temperature in a reproducible and predictable way. It is estimated that this mechanism of internal stress generation can be safely applied in the temperature range from -20 °C to 150 °C and is relatively resistant to thermal and mechanical fatigue. The predictability and fatigue endurance of the mechanism is of essential importance for development of future smart metal matrix composites or smart structures with embedded shape memory alloy components.

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Local Strain Distribution Arising in Shape Memory Alloy Composite Subjected to Thermal Loading

Cited by 9 publications

References 22 publications

Review and perspectives: shape memory alloy composite systems

Review and perspectives: shape memory alloy composite systems

Fabrication of Fe-Mn-Si-Cr Shape Memory Alloy Fiber/Aluminum Matrix Smart Composite by Casting

Internal stresses in steel plate generated by shape memory alloy inserts

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