Carbon fiber composites with 2D microvascular networks for battery cooling

Pety, Stephen J.; Tan, Ming Jen; Najafi, Ahmad R.; Barnett, Philip R.; Geubelle, Philippe H.; White, Scott R.

doi:10.1016/j.ijheatmasstransfer.2017.07.047

Cited by 54 publications

(17 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These allow in principle a large choice of materials such as metals, ceramics or acrylics and have the advantage great flexibility in the geometric forms, as well as being able to address the issue of the interconnections, where for the etched silicon solution the connections tend to be more bulky and fragile. A similar approach is taken by the concept of a microvascular network embedded in a carbon cold-plate [68], which could be adapted to silicon detector cooling supports.…”

Section: Mechanics and Coolingmentioning

confidence: 99%

Tracking and vertex detectors at FCC-ee

2022

View full text Add to dashboard Cite

The combined vertexing and tracking performance of the innermost part of the FCC-ee experiments must deliver outstanding precision for measurement of the track momentum together with an impact parameter resolution exceeding by at least a factor five that typically achieved at LHC experiments. Furthermore, precision measurements require stability and fiducial accuracy at a level which is unprecedented in collider experiments. For the innermost vertex layers these goals translate into a target hit resolution of approximately 3 $$\mu \hbox {m}$$ μ m together with a material budget of around 0.2% of a radiation length per layer. Typically this performance might be provided by silicon-based tracking, together with a careful choice of a low-mass cooling technology, and a stable, low-mass mechanical structure capable of providing measurements with a low enough systematic error to match the tremendous statistics expected, particularly for the run around the Z resonance. At FCC-ee, the magnetic field will be limited to approximately 2 T, in order to contain the vertical emittance at the Z pole, and a tracking volume up to relative large radius is needed. The technological solution could be silicon- or gaseous-based tracking, in both cases with the focus on optimising the material budget, and particle identification capability would be an advantage. Depending on the global design, an additional silicon tracking layer could be added at the outer radius of the tracker to provide a final precise point contributing to the momentum or possibly time-of-flight measurement. Current developments in monolithic and hybrid silicon technology, as well as advanced gaseous tracking developments, provide an encouraging road map towards the FCC-ee detector. The current state of the art and potential extensions will be discussed and a generic call for technology which could have a significant impact on the performance of an FCC-ee tracking and vertexing detector is outlined.

show abstract

Section: Mechanics and Coolingmentioning

confidence: 99%

Tracking and vertex detectors at FCC-ee

2022

View full text Add to dashboard Cite

show abstract

“…In the case of structural composites containing an array of integrated LiPo batteries, an efficient thermal management system would be required to help prevent thermal runaway. [ 97 ] In contrast to LiPo batteries, the electrical performance of TFLBs are not significantly affected by elevated operating temperatures, but can be significantly affected by low operating temperatures (<20 °C). [ 25 ] At the system level, batteries integrated inside structural composites can have additional protection in the event of an impact or structural failure.…”

Section: Potential Applications and Future Challengesmentioning

confidence: 99%

Energy Storage Structural Composites with Integrated Lithium‐Ion Batteries: A Review

Galos

Pattarakunnan

Best

et al. 2021

Adv Materials Technologies

View full text Add to dashboard Cite

Integration of lithium‐ion batteries into fiber‐polymer composite structures so as to simultaneously carry mechanical loads and store electrical energy offer great potential to reduce the overall system weight. Herein, recent progresses in integration methods for achieving high mechanical efficiencies of embedding commercial lithium‐ion batteries inside composite materials are reviewed. The manufacturing techniques used to fabricate energy storage structural composites are discussed together with a comparison of their mechanical properties, energy storage capacity, and electrical performance. The mechanical performance of energy storage composites containing lithium‐ion batteries depends on many factors, including manufacturing method, materials used, structural design, and bonding between the structure and the integrated batteries. Energy storage composites with integrated lithium‐ion pouch batteries generally achieve a superior balance between mechanical performance and energy density compared to other commercial battery systems. Potential applications are presented for energy storage composites containing integrated lithium‐ion batteries including automotive, aircraft, spacecraft, marine and sports equipment. Opportunities and challenges in fabrication methods, mechanical characterizations, trade‐offs in engineering design, safety, and battery subcomponents are also discussed.

show abstract

“…This work builds on our previous studies 71,72 that introduced two Eulerian‐based shape optimization schemes by incorporating the IGFEM 68‐70,73 and NIGFEM, 74‐77 respectively. Similar studies are performed to design microvascular panels for active cooling applications 78‐85 …”

Section: Introductionmentioning

confidence: 99%

“…Similar studies are performed to design microvascular panels for active cooling applications. [78][79][80][81][82][83][84][85] The composite material design problem is illustrated in Figure 1. The design domain is a periodic unit cell consisting of several inclusions.…”

Section: Introductionmentioning

confidence: 99%

Multiscale design of nonlinear materials using a Eulerian shape optimization scheme

Najafi

Safdari

Tortorelli

et al. 2021

Numerical Meth Engineering

Self Cite

View full text Add to dashboard Cite

Motivated by recent advances in manufacturing, the design of materials is the focal point of interest in the material research community. One of the critical challenges in this field is finding optimal material microstructure for a desired macroscopic response. This work presents a computational method for the mesoscale‐level design of particulate composites for an optimal macroscale‐level response. The method relies on a custom shape optimization scheme to find the extrema of a nonlinear cost function subject to a set of constraints. Three key “modules” constitute the method: multiscale modeling, sensitivity analysis, and optimization. Multiscale modeling relies on a classical homogenization method and a nonlinear NURBS‐based generalized finite element scheme to efficiently and accurately compute the structural response of particulate composites using a nonconformal discretization. A three‐parameter isotropic damage law is used to model microstructure‐level failure. An analytical sensitivity method is developed to compute the derivatives of the cost/constraint functions with respect to the design variables that control the microstructure's geometry. The derivation uncovers subtle but essential new terms contributing to the sensitivity of finite element shape functions and their spatial derivatives. Several structural problems are solved to demonstrate the applicability, performance, and accuracy of the method for the design of particulate composites with a desired macroscopic nonlinear stress‐strain response.

show abstract

Carbon fiber composites with 2D microvascular networks for battery cooling

Cited by 54 publications

References 51 publications

Tracking and vertex detectors at FCC-ee

Tracking and vertex detectors at FCC-ee

Energy Storage Structural Composites with Integrated Lithium‐Ion Batteries: A Review

Multiscale design of nonlinear materials using a Eulerian shape optimization scheme

Contact Info

Product

Resources

About