Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract—In the present work, different optimization techniques used for 3D printing or fused deposition modeling processes are studied and after effects of various input parameters on some performance parameters of 3D printed component like surface finish have been reviewed. The aim of this work is to investigate the effect of input parameters like filament diameter, extruder temperature, feed rate, raster angle, characteristic of working material, nozzle angle, distance between parallel faces on output parameters like surface finishing, moving speed or movement of nozzle head, material volumetric concentration, cooling of print, strength, number of shells and deposition rate in 3D printing through different optimization techniques. Considerable amount of work has been reported by the researchers on 3D printing and optimization of various input parameters. Several approaches are proposed in the literature to optimize these parameters hence it is felt that a review of the various approaches developed would help to compare their main features and their relative advantages and limitations to allow choose the most suitable approach for a particular application. In view of above, this paper presents a review of development done in the area of optimization of process parameter of 3D printed components
Keywords:
Additive manufacturing, finite element method, fused deposition modelling, laminate theory, orientation of material
Cite Article:
"INVESTIGATIONS OF MECHANICAL PROPERTIES OF 3D PRINTED COMPONENTS: A REVIEW", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 7, page no.17 - 20, July-2017, Available :http://www.ijrti.org/papers/IJRTI1707004.pdf
Downloads:
000204832
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator