Improving mechanical ice protection systems with substrate shape optimization

Palanque, Valérian; Marbœuf, Alexis; Budinger, Marc; Pommier-Budinger, Valérie; Bennani, Lokman

doi:10.1016/j.coldregions.2022.103641

Cited by 6 publications

(5 citation statements)

References 37 publications

(53 reference statements)

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“…As the crack length increases, the power required to extend the crack also increases. Eventually, a limit in the adhesive crack length is reached owing to geometrical constraints [22].…”

Section: Deicing Mechanismsmentioning

confidence: 99%

“…This section aims to maximize the ice delamination length using flexural modes by optimizing substrate thickness. The first study is performed on a metallic beam and based on the work of Palanque et al [22]. However, while the authors carried out a static study, this work proposes an extension of the static load conditions to vibratory loads.…”

Section: Full De-icing Of a Metallic Beam By Optimization Of The Subs...mentioning

confidence: 99%

“…The idea behind substrate shape modification is to optimize the substrate thickness to homogenize the energy distribution along the beam under bending solicitation to extend the maximum propagation length. Following the algorithm architecture developed in [22], the optimization process proposed here is the modification of the substrate thickness for both homogenization and maximization of the G/σ 2 max ratio. The half beam is divided into n = 20 elements of positions x j used for substrate optimization and fracture propagation evaluation.…”

Section: Optimization Problemmentioning

confidence: 99%

“…The analytical model, introduced in [24], considers here a bipinned aluminum beam covered with ice loaded by a uniformly distributed load q, which allows the reproduction of the modal shape of the first flexural mode according to Rayleigh's approximation assumption.…”

Section: Optimization Of One Elementary Blockmentioning

confidence: 99%

“…Figure 6 summarizes the optimization process used in this study, based on the process developed by [22] for static configurations and adapted here for resonant applications. For each propagation state j, the stress distribution along the beam σ is computed, which results in the maximum stress σ max,j .…”

Section: First Optimization Step: Maximizing the G/σmentioning

confidence: 99%

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Improving resonant ice protection systems with substrate optimization

Rafik,

Palanque,

Budinger

et al. 2024

Smart Mater. Struct.

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Electro-mechanical de-icing systems are low-energy ice protection solutions based on ice fracture mechanisms. This article focuses on resonant electro-mechanical de-icing systems that actuate modes of flexion, which require low energy compared to extension modes. However, fracture propagation limits are encountered when using such flexural modes, preventing the ice from being completely detached from the substrate. This study demonstrates the feasibility of extending the ice detachment area by optimizing the thickness of the substrate. First, the interest and the limits of flexural resonant modes are discussed. Then the de-icing of a simple metallic beam in free conditions using a flexural mode is improved owing to the parametric optimization of the substrate thickness. The optimization is verified by tests on aluminum prototypes. The optimization results are then extended to a clamped composite plate and then to a NACA profile, showing interest in the approach to fully de-ice structures with modes of flexion, even in the case of complex geometries. With this last example, the study also demonstrates the feasibility of electro-mechanical ice protection systems for Carbon Fiber Reinforced Polymer composite structures.

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“…As the crack length increases, the power required to extend the crack also increases. Eventually, a limit in the adhesive crack length is reached owing to geometrical constraints [22].…”

Section: Deicing Mechanismsmentioning

confidence: 99%

Section: Full De-icing Of a Metallic Beam By Optimization Of The Subs...mentioning

confidence: 99%

Section: Optimization Problemmentioning

confidence: 99%

Section: Optimization Of One Elementary Blockmentioning

confidence: 99%

Section: First Optimization Step: Maximizing the G/σmentioning

confidence: 99%

See 3 more Smart Citations