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OBTAINING COMPOSITE MATERIALS OF THE POLYMER-ALUMINUM TYPE BY GLUING USING BICOMPONENT ADHESIVES
Abstract
The necessity of fulfilling as many conditions as possible in the specification resulted in the creation of composite materials. This idea developed in the aerospace industry was later used successfully in all industrial branches. The two materials that have been used are chemically distinct, each of which retains its properties in the composite, but provides the assembly with different properties and characteristics. Thus, for the continuous phase, the matrix was used an aluminum alloy, and for the discontinuous phase, the reinforcement, a methyl polymethacrylate (PMMA) was used. This armature, although developed since 1928 and introduced on the market since 1933, has direct applications, especially in the structure of composite materials. Due to the deformation properties at relatively low temperatures of 1000C, methyl polymethylacrylate can be molded respecting almost any desired geometric shape. It is worth mentioning that hardening occurs very quickly by introducing the mold into water, resulting in higher productivity than the hot metal deformation technologies. The bond between the matrix and the reinforcement will be made using bicomponent adhesives by a bonding process.
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References10
Jones R.M., Mechanics of Composite Materials, Scripta Book, Washington D.C., 1975, pp 231-248;
Totten G.E., MacKenzie D.S. Alloy Production and Materials Manufacturing, CRC Press 2, 2003, pp 136-138;
Wikipwdia - page accessed in February 2018;
Hydrosight, Acrylic vs. Polycarbonate: A quantitative and qualitative comparison, Archived from the original on 2017-01-19.
Dimitrescu A, Babis C, Alecusan A M, Chivu O, Aluminium alloys reconditioning by using new filler materials, ModTech 2018, Constanta, Romania.
Dimitrescu A, Babis C, Nitoi D, Radu C, Studies and research on the crack testing for brazed aluminium alloys specimens, Book Series: IOP Conference Series-Materials Science and Engineering, 2017, România, pp 220-228
Wikipedia - page accessed in March 2018;
Bishop C.M., Pattern Recognition and Machine Learning, Springer, London, 2006
Barber D., Bayesian Reasoning and Machine Learning, Cambridge University Press, 2012, pp 6-18
Rasmussen C.E., Williams C.K.I., Gaussian Processes for Machine Learning, MIT Press, 2006, pp 23-41.
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