2026-09-22T11:50:34Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/116284 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Hilgenfeldt, Sascha 2022-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms The student, Steven Dimarco, accepted the attached license on 2022-07-21 at 13:44. The student, Steven Dimarco, submitted this Thesis for approval on 2022-07-22 at 16:53. This Thesis was approved for publication on 2022-07-26 at 14:32. DSpace SAF Submission Ingestion Package generated from Vireo submission #18416 on 2022-11-15 at 18:22:01 An accurate method for structural analysis of 2D foam Dimarco, Steven Lance 2022-07-26 foam foams soap films bubbles Plateau Matlab ImageJ quasi-2D Fermat Foams are prototypical systems of Soft Matter, filling space with bubbles whose shape, size, and relative positioning co-determine many properties of the material, in particular its mechanical response. Recent theoretical and simulational work suggests that understanding foam structure in detail allows for quantitative statements about the mechanics of a whole class of cellular soft materials sharing aspects of foam structure, such as biological tissues. These theories can be tested most easily in an experimental aqueous foam system, where a single layer of bubbles generates a quasi-2D structure. For a stringent test, it is crucial to obtain a highly accurate and completely consistent quantification of certain aspects of the foam geometry, in particular bubble size, bubble topology, and the total perimeter of the quasi-2D foam’s cross section. This perimeter value (a measure of empirical mechanical foam energy) is traditionally evaluated from image analysis identifying all edges between polygonal bubbles. A consistent image analysis and subsequent reconstruction of the foam is cumbersome for large samples. In this thesis we suggest a much faster, less CPU-intensive, and less storage space-intensive method for foam reconstruction called Vertex Reconstruction Method (VRM). Here, only the vertex regions of the foam (vertical Plateau borders of the quasi-2D foam) need to be extracted through image analysis, a much simpler task. Because of the known local geometry of foam vertices, the location and orientation of the triangular vertex regions is sufficient to fully reconstruct the entire foam. Using our own experimental samples imaged at high resolution under a scanner, we show that the VRM is at least as accurate as traditional methods while using much less computational resources. Using the extracted foam energy and statistical measures, we also demonstrate that foams indeed conform to previously developed theories relating these quantities to the value of the system’s mechanical energy functional. Thesis eng https://hdl.handle.net/2142/116284 Copyright 2022 Steven Dimarco M.S. Thesis Mechanical Engineering University of Illinois at Urbana-Champaign Mechanical Sci & Engineering