“…AM is defined by both the International Organization for Standardization and the American Society for Testing and Materials (ISO/ASTM 52900-15) as a “process of joining materials to make parts from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing and formative manufacturing methodologies” [1]. Nowadays, AM processes have established a new industrial revolution [2,3] due to considerable benefits, which they provide compared to the traditional subtractive methods. The most important benefits are: tailored mechanical properties, customized products, many combinations of materials, fast manufacturing and cost-effectiveness.…”
In Fused Deposition Modeling (FDM), which is a common thermoplastic Additive Manufacturing (AM) method, the polymer model material that is in the form of a flexible filament is heated above its glass transition temperature (Tg) to a semi-molten state in the head’s liquefier. The heated material is extruded in a rastering configuration onto the building platform where it rapidly cools and solidifies with the adjoining material. The heating and rapid cooling cycles of the work materials exhibited during the FDM process provoke non-uniform thermal gradients and cause stress build-up that consequently result in part distortions, dimensional inaccuracy and even possible part fabrication failure. Within the purpose of optimizing the FDM technique by eliminating the presence of such undesirable effects, real-time monitoring is essential for the evaluation and control of the final parts’ quality. The present work investigates the temperature distributions developed during the FDM building process of multilayered thin plates and on this basis a numerical study is also presented. The recordings of temperature changes were achieved by embedding temperature measuring sensors at various locations into the middle-plane of the printed structures. The experimental results, mapping the temperature variations within the samples, were compared to the corresponding ones obtained by finite element modeling, exhibiting good correlation.
“…AM is defined by both the International Organization for Standardization and the American Society for Testing and Materials (ISO/ASTM 52900-15) as a “process of joining materials to make parts from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing and formative manufacturing methodologies” [1]. Nowadays, AM processes have established a new industrial revolution [2,3] due to considerable benefits, which they provide compared to the traditional subtractive methods. The most important benefits are: tailored mechanical properties, customized products, many combinations of materials, fast manufacturing and cost-effectiveness.…”
In Fused Deposition Modeling (FDM), which is a common thermoplastic Additive Manufacturing (AM) method, the polymer model material that is in the form of a flexible filament is heated above its glass transition temperature (Tg) to a semi-molten state in the head’s liquefier. The heated material is extruded in a rastering configuration onto the building platform where it rapidly cools and solidifies with the adjoining material. The heating and rapid cooling cycles of the work materials exhibited during the FDM process provoke non-uniform thermal gradients and cause stress build-up that consequently result in part distortions, dimensional inaccuracy and even possible part fabrication failure. Within the purpose of optimizing the FDM technique by eliminating the presence of such undesirable effects, real-time monitoring is essential for the evaluation and control of the final parts’ quality. The present work investigates the temperature distributions developed during the FDM building process of multilayered thin plates and on this basis a numerical study is also presented. The recordings of temperature changes were achieved by embedding temperature measuring sensors at various locations into the middle-plane of the printed structures. The experimental results, mapping the temperature variations within the samples, were compared to the corresponding ones obtained by finite element modeling, exhibiting good correlation.
“…2 There are three primary categories which the processes are placed into; powder based systems such as Laser Sintering, solid based systems which includes Fused Deposition Modelling and liquid based systems such as Stereolithography.…”
High Speed Sintering (HSS) is an Additive Manufacturing process that creates parts by combining inkjet printing and infra-red lamps rather than laser systems employed in Laser Sintering (LS). This research investigated the effects of altering the dosage of ink (via greyscale/dithering) on the properties of parts produced from elastomers. The results indicate that print density may be optimized to maximize mechanical properties and have achieved an elongation at break as high as 365%. The findings also open up the possibility of creating parts with added functionality. By using differing amounts of ink per layer it may be possible to create parts with varying properties throughout.
“…LS is increasingly being used in demanding applications, with the aviation and F1 industry adopting LS for processing parts [1]. Detailed analysis of the stiffness, strength and surface finish must be further understood for LS parts to meet future in-service loading and operational requirements.…”
Abstract. Parts processed by Additive Manufacturing can now be found across a wide range of applications, such as those in the aerospace and automotive industry in which the mechanical response must be optimised. Many of these applications are subjected to high rate or impact loading, yet it is believed that there is no prior research on the strain rate dependence in these materials. This research investigates the effect of strain rate and laser energy density on laser sintered polyamide 12. In the study presented here, parts produced using four different laser sintered energy densities were exposed to uniaxial compression tests at strain rates ranging from 10 −3 to 10 +3 s −1 at room temperature, and the dependence on these parameters is presented.
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