Active Cooling of a Microvascular Shape Memory Alloy‐Polymer Matrix Composite Hybrid Material

Coppola, Anthony M.; Hu, Liangfa; Thakre, Piyush; Radović, Miladin; Караман, И.; Sottos, Nancy R.; White, Scott R.

doi:10.1002/adem.201600020

Cited by 18 publications

(10 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As evident in Fig. 10e, the thermal impact of the embedded network increases (i.e., ∆T = T max − T in decreases) with increasing flow rate, but at a declining rate in a trend consistent with previous studies [17,54,55]. This trend is due to the positive correlation between ∆T and the temperature rise of the coolant ∆T coolant , itself linked to the flow rate through ∆T coolant ∼ Q/(ṁc f ).…”

Section: Effect Of Flow Rate On Optimal Designsupporting

confidence: 87%

Gradient-based design of actively-cooled microvascular composite panels

Tan

Najafi

Pety

et al. 2016

International Journal of Heat and Mass Transfer

Self Cite

View full text Add to dashboard Cite

Recent advances in manufacturing based on sacrificial fiber or template techniques have allowed complex networks of microchannels to be embedded in microvascular composites. In the thermal application of interest, a novel battery packaging scheme for electric vehicles is considered where each battery is surrounded by microvascular composite panels for temperature regulation and structural protection. We use simplified thermal and hydraulics models validated against more complex 3D FLUENT simulations and experiments to obtain the surface temperature distribution of the panel and the pressure drops across the microchannels. We further eliminate the cost and complexity associated with mesh generation by applying the interface-enriched generalized finite element method (IGFEM), which allows a non-conforming mesh to capture the discontinuous temperature gradient across the microchannels. The IGFEM thermal solver is then combined with a gradient-based shape optimization scheme to obtain optimal designs of a set of branched microchannel networks. The design parameters are the channel control points, which define the shape of the network. We use the p-mean as a differentiable objective function in place of the maximum temperature. To obtain accurate gradients with respect to the design parameters efficiently, we perform a sensitivity analysis based on a recently developed adjoint method for IGFEM. Starting from many distinct configurations, we obtain the optimal designs for a wide range of network topologies. We also investigate the

show abstract

Section: Effect Of Flow Rate On Optimal Designsupporting

confidence: 87%

Gradient-based design of actively-cooled microvascular composite panels

Tan

Najafi

Pety

et al. 2016

International Journal of Heat and Mass Transfer

Self Cite

View full text Add to dashboard Cite

show abstract

“…Compared with shape memory alloys, 1,2 Shape memory polymers (SMPs) have better application prospects in space structures, 3,4 medical devices 5 and electronic instruments 6 due to their higher deformation and shape recovery ability, good processing performance. SMPs are smart materials that can fix a temporary shape and return to their original shape under external stimuli such as heat, 7,8 light, 9,10 electricity 11,12 and magnetic fields 13,14 .…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of shape memory epoxy polymers based on machine learning

Liu

Jin

Tao

et al. 2021

Polymers for Advanced Techs

View full text Add to dashboard Cite

In this study, we proposed a machine learning (ML) method to optimize the comprehensive performance of shape memory epoxy polymers (SMEPs) based on experimental data as samples. Firstly, a series of SMEPs specimens were prepared, and their properties were evaluated respectively by testing four indexes including the glass transition temperature (Tg), bending strength, strain fixation rate (Rf), and strain recovery rate (Rr). Subsequently, ML used these experimental data as samples for feature learning to investigate the influence of each component on these properties. The results indicated that methyltetrahydrophthalic anhydride was more favorable to Tg and bending strength than methylhexahydrophthalic anhydride (MHHPA) as a curing agent. However, a certain amount of MHHPA must be included in the system to guarantee a higher Rf and Rr. Moreover, the right amount of bisphenol A cyanate ester in the system improved the comprehensive properties of SMEPs, especially the shape memory effect. Finally, a SMEPs system with superior properties was acquired through the optimization of four indexes of Tg, bending strength, Rf and Rr. Therefore, this study shows that ML methods can also be used to investigate SMEPs that require more specific excellent performance.

show abstract

“…Shape‐memory polymers (SMPs), proposed as biomaterials for minimally invasive surgical devices, have gained increased attention over the last several years . Heat, light, or the local chemical environment can activate the shape memory processes . Although SMPs have been used as stents in treating cardiovascular diseases, only a few investigations concern artificial blood vessels with shape‐memory materials .…”

Section: Introductionmentioning

confidence: 99%

Construction of Small‐Diameter Vascular Graft by Shape‐Memory and Self‐Rolling Bacterial Cellulose Membrane

Jiang

Feng

et al. 2017

Adv Healthcare Materials

View full text Add to dashboard Cite

Bacterial cellulose (BC) membranes with shape-memory properties allow the rapid preparation of artificial small-diameter blood vessels when combined with microfluidics-based patterning with multiple types of cells. Lyophilization of a wet multilayered rolled BC tube endows it with memory to recover its tubular shape after unrolling. The unrolling of the BC tube yields a flat membrane, and subsequent patterning with endothelial cells, smooth muscle cells, and fibroblast cells is carried out by microfluidics. The cell-laden BC membrane is then rerolled into a multilayered tube. The different cells constituting multiple layers on the tubular wall can imitate blood vessels in vitro. The BC tubes (2 mm) without cell modification, when implanted into the carotid artery of a rabbit, maintain thrombus-free patency 21 d after implantation. This study provides a novel strategy for the rapid construction of multilayered small-diameter BC tubes which may be further developed for potential applications as artificial blood vessels.

show abstract

Active Cooling of a Microvascular Shape Memory Alloy‐Polymer Matrix Composite Hybrid Material

Cited by 18 publications

References 44 publications

Gradient-based design of actively-cooled microvascular composite panels

Gradient-based design of actively-cooled microvascular composite panels

Performance optimization of shape memory epoxy polymers based on machine learning

Construction of Small‐Diameter Vascular Graft by Shape‐Memory and Self‐Rolling Bacterial Cellulose Membrane

Contact Info

Product

Resources

About