Mathematical Model for the Selection of Processing Parameters in Selective Laser Sintering of Polymer Products

izvorni znanstveni rad

izvorni znanstveni rad

Mathematical Model for the Selection of Processing Parameters in Selective Laser Sintering of Polymer Products

Vrsta prilog u časopisu
Tip izvorni znanstveni rad
Godina 2014
Časopis Advances in Mechanical Engineering
Nadređena publikacija Advances in mechanical engineering
Stranice str. 648562-1-648562-9
DOI 10.1155/2014/648562
ISSN 1687-8132
EISSN 1687-8140
Status objavljeno

Sažetak

Additive manufacturing (AM) is increasingly applied in the development projects from the initial idea to the finished product. The reasons are multiple, but what should be emphasised is the possibility of relatively rapid manufacturing of the products of complicated geometry based on the computer 3D model of the product.There are numerous limitations primarily in the number of available materials and their properties, which may be quite different from the properties of thematerial of the finished product. Therefore, it is necessary to know the properties of the productmaterials. In AMprocedures the mechanical properties of materials are affected by the manufacturing procedure and the production parameters. During SLS procedures it is possible to adjust various manufacturing parameterswhich are used to influence the improvement of various mechanical and other properties of the products. The paper sets a new mathematical model to determine the influence of individual manufacturing parameters on the polymer product made by selective laser sintering. Old mathematical model is checked by statistical method with central composite plan and it is established that old mathematical model must be expanded with new parameter beam overlay ratio. Verification of new mathematical model and optimization of the processing parameters are made on SLS machine.

Ključne riječi

energy density; mathematical model; mechanical properties; polymer; procesing parameters; selective laser sintering – SLS