777,858 research outputs found
Instabilities and soot formation in high pressure explosion flames
Flame instabilities, cellular structures and soot formed in high pressure, rich, spherically expanding iso-octane-air flames have been studied experimentally using high speed Schlieren cinematography, OH fluorescence, and laser induced incandescence. Cellular structures with two wavelength ranges developed on the flame surface. In rich flames with equivalence ratio ?> 1.8, soot was formed in a honeycomb-like structure behind flame cracks associated with the large wavelength cellular structure
Stochastic Metallic-Glass Cellular Structures Exhibiting Benchmark Strength
By identifying the key characteristic “structural scales” that dictate the resistance of a porous metallic glass against buckling and fracture, stochastic highly porous metallic-glass structures are designed capable of yielding plastically and inheriting the high plastic yield strength of the amorphous metal. The strengths attainable by the present foams appear to equal or exceed those by highly engineered metal foams such as Ti-6Al-4V or ferrous-metal foams at comparable levels of porosity, placing the present metallic-glass foams among the strongest foams known to date
Cellular structures using -tilting modules
We use the theory of -tilting modules to construct cellular
bases for centralizer algebras. Our methods are quite general and work for any
quantum group attached to a Cartan matrix and include the
non-semisimple cases for being a root of unity and ground fields of
positive characteristic. Our approach also generalizes to certain categories
containing infinite-dimensional modules. As applications, we give a new
semisimplicty criterion for centralizer algebras, and recover the cellularity
of several known algebras (with partially new cellular bases) which all fit
into our general setup.Comment: 31 pages, lots of figures, substantially rewritten (following the
suggestions of some referees), changed numbering, comments welcom
The topological structure of 2D disordered cellular systems
We analyze the structure of two dimensional disordered cellular systems
generated by extensive computer simulations. These cellular structures are
studied as topological trees rooted on a central cell or as closed shells
arranged concentrically around a germ cell. We single out the most significant
parameters that characterize statistically the organization of these patterns.
Universality and specificity in disordered cellular structures are discussed.Comment: 18 Pages LaTeX, 16 Postscript figure
Generation of planar tensegrity structures through cellular multiplication
Tensegrity structures are frameworks in a stable self-equilibrated prestress
state that have been applied in various fields in science and engineering.
Research into tensegrity structures has resulted in reliable techniques for
their form finding and analysis. However, most techniques address topology and
form separately. This paper presents a bio-inspired approach for the combined
topology identification and form finding of planar tensegrity structures.
Tensegrity structures are generated using tensegrity cells (elementary stable
self-stressed units that have been proven to compose any tensegrity structure)
according to two multiplication mechanisms: cellular adhesion and fusion.
Changes in the dimension of the self-stress space of the structure are found to
depend on the number of adhesion and fusion steps conducted as well as on the
interaction among the cells composing the system. A methodology for defining a
basis of the self-stress space is also provided. Through the definition of the
equilibrium shape, the number of nodes and members as well as the number of
self-stress states, the cellular multiplication method can integrate design
considerations, providing great flexibility and control over the tensegrity
structure designed and opening the door to the development of a whole new realm
of planar tensegrity systems with controllable characteristics.Comment: 29 pages, 19 figures, to appear at Applied Mathematical Modelin
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