CONGRESO EUROTEC-Sesión específica ASERM
By festeve | October 30, 2011
Los próximos 14 y 15 de noviembre se celebra el Congreso EUROTEC en Barcelona, coincidiendo con la Feria EQUIPLAST.
ASERM organiza junto a SPE, la sesión relacionada con “Rapid Design, Enginering and Mold making”.
Concretamente, la sesión tendrá lugar el día 15 de noviembre de 2011 de 9h a 12h de la mañana. A continuación exponemos las ponencias a presentar:
Flexural Properties and Failure Mechanism Assessment for Additive Manufactured LOM Bars
ability to deflect of parts manufactured by this technique is
superior to the parts fabricated by other additive
manufacturing methods like SLS or FDM. This fact has
increased the interest on the final application of these parts.
In this study it will be compared the impact of building
orientation and geometric features of the part fabricated over the flexural properties. Through optical
observation it will be studied the failure mechanism. Also, it will be presented a method specially fitted by
this kind of specimen.
Laser Sintered Hybrid Moulds and Micro-Moulds with High Performance and Low-Cost,
design and manufacturing of a conformational cooling channel integrated in the mould.
The functions of the new system can be performed by a milling machine or even by a spherical robot.
had the resources, but with the immediacy and accessibility of additive manufacturing, combined with the
popularization and simplification of design tools and software, new players will join “the venture of producing
things.” The product-design industry has the opportunity to take new approaches to conceiving, designing,
and producing plastic parts.
Knowledge-Assisted Rapid Manufacturing Vojislav Petrovic Metal-Processing Technology Institute KARMA,
one of Europe’s most important additive manufacturing (AM) projects, deals with the development of a
knowledge-assisted automatic assessment tool designed to help end users build AM processes. Based on a
complete characterization of different AM technologies and AM processed materials, KARMA assists the end
user in learning how different build orientations affect crucial AM aspects: surface quality, support structure,
build time and cost. The data on technologies and materials are placed in a KB database, which becomes a
source of information for the algorithms that estimate these crucial outcome parameters. This paper briefly
describes the KBE DB, its architecture, and its basic functionality.
a complete characterization of different AM technologies and AM processed materials, KARMA assists the
end user in learning how different build orientations affect crucial AM aspects: surface quality, support
structure, build time and cost. The data on technologies and materials are placed in a KB database, which
becomes a source of information for the algorithms that estimate these crucial outcome parameters. This
paper briefly describes the KBE DB, its architecture, and its basic
Ver el programa completo de los dos días en el PDF adjunto:
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