جستجوی مقالات مرتبط با کلیدواژه "فرایند fdm" در نشریات گروه "مکانیک"

Fused deposition modeling (FDM) is one of the most common 3D printings technologies. Low cost and the ability to produce models using wide range of thermoplastic polymers, makes this process suitable for rapid prototyping and manufacturing some commercial parts. The manufacturing complicated parts and increasing their qualities are possible, using more than three degrees of freedom printers. In this paper, a 5-DOF 3D printer is introduced. The mechanism of this printer is 4-DOF parallel mechanism with one additional degree of freedom resulting from rotation of printer bed about Z-axis. In order to generate tool path for 5-DOF printer, a CAM software was developed with python. For controlling the printer, control software was designed based on open-source Repetier framework. Since original framework only supports 3-axis printers, source code needed to be changed such as extending source code to support 5-axis and adding mechanism inverse kinematics. By using this 5-Dof mechanism, the prints of complicated parts without using the support are possible.

In recent years, considerable efforts have been deducted to evaluate the quality of various products. In this regard, quality control of products fabricated by the additive manufacturing methods has become a new interest. In the 3D printing industry, Defect detection could have a vital role in the final evaluation of products. In this study, artificial defects are located in PLA samples printed with different infills via the Fused Deposition Modeling (FDM) method. In order to detection of the mentioned defects in these parts, the Active IR Thermography was employed. Thermal stimulation was selected as excitation method. Two different excitation formation including transmission and reflection mode are used. In order to validate the results, the temperature-pixel diagram for each sample were illustrated. The effect of Gaussian filter on thermal images was also investigated to facilitate the identification of the obtained images. The experimental results indicated the capability of thermally stimulated thermographic inspection in detection of defects in FDM printed parts.

Fused deposition modeling (FDM) is one of the most common 3D printings technologies. Low cost and the ability to produce models using wide range of thermoplastic makes this process suitable for rapid prototyping and manufacturing some commercial parts. The mechanism of this printer is 4-DOF parallel machanism with one additional degree of freedom resulting from rotation of printer bed about z-axis. In order to generate tool path for 5-DOF printer, a CAM software was developed with python. For controling the printer, control software was designed based on open-source marlin framework. Since original framework only supports 3-axis printers, source code needed to be changed such as extending source code to support 5-axis and adding machanism inverse kinematics. By using this 5-Dof mechanism, the prints of complicated parts without using the support are possible.

This paper presents an experimental study on the effects of printing parameters on the tensile strength of the polymer-metal composites printed via Fused Deposition Modeling (FDM) technique .In the recent years, 3D printer systems have been widely employed in various industries. FDM is one of the most widely used 3D printer systems worldwide due to its simplicity and lower cost. Although extensive research works have been carried out in the area of 3D printing, less efforts have been reported in developing new materials and their use in FDM process. The materials utilized in this study consisted of Cu particles in ABS polymeric matrix with a constant 25 wt.% of metal powder. The filament production line was implemented to accustom with the manufacturing process. The printing variables were selected as nozzle (orifice) diameter, layer height, fill pattern and nozzle temperature that were examined in three levels. Taguchi method was employed to find the optimal FDM process parameters. The main effect, signal-to- noise ratio and analysis of variance were employed to analyze the process parameters in order to achieve optimum tensile strength of the composite material specimens. Finally, the specimens were produce at the optimized parameters to confirm the tests and method.