2004
DOI: 10.1088/0953-8984/16/23/031
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Minimum energy configurations of small bidisperse bubble clusters

Abstract: We consider two-dimensional foam clusters consisting of small collections of N bubbles with two different areas. Different arrangements of these bidisperse clusters were found experimentally for each N. Calculation of their perimeter allowed us to compare the energy of each cluster, giving candidates to the minimal energy arrangement. The number of possible clusters is discussed and the calculated energies are compared with existing approximations.

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Cited by 11 publications
(7 citation statements)
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“…The same expression gets all but thirteen values correct for the circular case and all but four values correct for free clusters. The expression for the perimeter derived in (9), with N p given by (12) and s = 6, works well here, indicating that the bubbles are quite regular. (This expression fails to describe the square and pentagonal data.)…”
Section: Hexagonal Boundarysupporting
confidence: 70%
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“…The same expression gets all but thirteen values correct for the circular case and all but four values correct for free clusters. The expression for the perimeter derived in (9), with N p given by (12) and s = 6, works well here, indicating that the bubbles are quite regular. (This expression fails to describe the square and pentagonal data.)…”
Section: Hexagonal Boundarysupporting
confidence: 70%
“…Certainly, to extend the results presented here to higher N will require an improved algorithm. Similarly, relaxing the condition of monodispersity, to consider for example bidisperse clusters [9], leads to many more candidates and the likelihood of fully exploring the space of all good candidates decreases.…”
Section: Discussionmentioning
confidence: 99%
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“…For N = 2 regions in R 3 , the double bubble conjecture has been proved [8], and, in the plane, the extension of the honeycomb to two different areas (bidisperse) has led to conjectured solutions [9]. There has also been some experimental work that sought to correlate the frequency with which different configurations of bidisperse bubble clusters (which, to a good approximation, minimize their surface area [1]) were found with the least perimeter configuration [10].…”
Section: Introductionmentioning
confidence: 99%
“…This last rule implies a minimal surface area property, leading to instabilities and topological rearrangements into larger clusters. In the literature, such situations are investigated in the framework of liquid foams (see [3][4][5]). Usual approaches for modelling and simulating these phenomena are essentially based on minimal surface area criteria (see [6,7]).…”
Section: Introductionmentioning
confidence: 99%