Geometrical Parameters Optimization of Suction Cups-Based Devices for Large-Sized Ceramic Slabs Handling

التفاصيل البيبلوغرافية
العنوان: Geometrical Parameters Optimization of Suction Cups-Based Devices for Large-Sized Ceramic Slabs Handling
المؤلفون: Ivo Campione, Giuseppe Lucisano, Cristian Maiello, Marco Troncossi
المساهمون: Campione, I., Troncossi, M., Maiello, C., Lucisano, G.
سنة النشر: 2017
مصطلحات موضوعية: Materials science, Transportation, handling, large-sized slabs, suction cups, ceramics, porcelain stoneware, finite element, ANSYS, visual_art, Computational Mechanics, visual_art.visual_art_medium, Ceramic, Composite material, Suction cup
الوصف: In the last decades, due to remarkable technological improvements in ceramics production cycles and materials, the manufacturing and the commercialization of large-sized ceramic slabs have risen. While some phases of the process are well defined, there are some routines that lack systematic procedures and rely uniquely on the internal know-how of the single companies. In particular, this paper focuses on the handling and transportation of large-sized ceramic slabs, which are, in the vast majority of cases, performed by suction cups-based gripping devices. The scope of this paper is to investigate how the type of suction cup pattern and its geometrical parameters affect slab stresses and deformations and to provide a guideline for the choice of the pattern, in order to cope with some critical aspects associated with wide surface and small thickness of the slabs. In particular, some of the most common large slab sizes and thicknesses available on the market are considered, and the most suitable suction cup patterns (and their geometrical parameters) for handling them are evaluated in order to minimize slab stresses and deformations.
وصف الملف: ELETTRONICO
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f24bac92efd8cbf2d5a64a111b221f
http://hdl.handle.net/11585/619072
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....96f24bac92efd8cbf2d5a64a111b221f
قاعدة البيانات: OpenAIRE