Effect of binder saturation and powder layer thickness on the green strength of the binder jet 3D printing (BJ3DP) WC-12%Co powders

Author(s):  
Ravi K. Enneti ◽  
Kevin C. Prough
2011 ◽  
Vol 399-401 ◽  
pp. 1687-1692 ◽  
Author(s):  
Shu Juan Li ◽  
Shan Cao

In 3DP process, part has a large contour error due to the print machine, printing parameters, the characters of part materials and other factors. In this paper, based on the result from the Part I, the experimental method is used to study on the part contour error by placing 56 cubes in the manufacturing box in 3DP process. When the binder saturation level and the powder layer thickness are fixed, the contour error for cubes in X, Y and Z directions is obtained, and the leaking error compensation value, also means bleed compensation for the binder in different directions are achieved, and bleed compensation is used to calibrate the printer parameters. The case study also verifies the result in 3DP process, which is effectiveness in parts’ contour error compensation.


2011 ◽  
Vol 399-401 ◽  
pp. 1639-1645 ◽  
Author(s):  
Shu Juan Li ◽  
Shan Cao

As an important Solid Free Form Fabrication (SFF) technology, three-dimensional printing (3DP) has become popular in applications due to its properties of rapid prototyping, no pollution, and high productivity. Based on the experiment platform of ZP310, this paper investigates that powder layer thickness and blinder saturation level for different location of parts placement have effect on the part surface topography and forming accuracy, the location of parts placement includes right, middle and left, respectively, which represents the different face contact to the bottom of manufacturing box. The experiments show that: when the left of part is placed to contact to the bottom of manufacturing box, the powder layer thickness is 0.1 mm and the binder saturation level is 70%, the best surface topography can be obtained.


2021 ◽  
Vol 0 (9) ◽  
pp. 17-21
Author(s):  
O. A. Dvoryankin ◽  
◽  
N. I. Baurova ◽  

Analysis of 3D-printing methods used in the molding production to manufacture master-models has been carried out. The technology was selected, which allowed one to make high-precision parts, combining the molding and the 3D-printing. Factors effecting on the quality of 3D-models printed by this technology were analyzed. Experimental studied for determination of the printing parameter influence (layer thickness, filling percentage, printing velocity) on ultimate strength of specimens made of ABS-plastic were carried out.


2018 ◽  
Vol 18 (3) ◽  
pp. 948-955 ◽  
Author(s):  
Q.B. Nguyen ◽  
D.N. Luu ◽  
S.M.L. Nai ◽  
Z. Zhu ◽  
Z. Chen ◽  
...  
Keyword(s):  

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 774 ◽  
Author(s):  
Damir Godec ◽  
Santiago Cano ◽  
Clemens Holzer ◽  
Joamin Gonzalez-Gutierrez

Fused filament fabrication (FFF) combined with debinding and sintering could be an economical process for three-dimensional (3D) printing of metal parts. In this paper, compounding, filament making, and FFF processing of feedstock material with 55% vol. of 17-4PH stainless steel powder in a multicomponent binder system are presented. The experimental part of the paper encompasses central composite design for optimization of the most significant 3D printing parameters (extrusion temperature, flow rate multiplier, and layer thickness) to obtain maximum tensile strength of the 3D-printed specimens. Here, only green specimens were examined in order to be able to determine the optimal parameters for 3D printing. The results show that the factor with the biggest influence on the tensile properties was flow rate multiplier, followed by the layer thickness and finally the extrusion temperature. Maximizing all three parameters led to the highest tensile properties of the green parts.


2020 ◽  
Vol 26 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Tobias Kolb ◽  
Reza Elahi ◽  
Jan Seeger ◽  
Mathews Soris ◽  
Christian Scheitler ◽  
...  

Purpose The purpose of this paper is to analyse the signal dependency of the camera-based coaxial monitoring system QMMeltpool 3D (Concept Laser GmbH, Lichtenfels, Germany) for laser powder bed fusion (LPBF) under the variation of process parameters, position, direction and layer thickness to determine the capability of the system. Because such and similar monitoring systems are designed and presented for quality assurance in series production, it is important to present the dominant signal influences and limitations. Design/methodology/approach Hardware of the commercially available coaxial monitoring QMMeltpool 3D is used to investigate the thermal emission of the interaction zone during LPBF. The raw images of the camera are analysed by means of image processing to bypass the software of QMMeltpool 3D and to gain a high level of signal understanding. Laser power, scan speed, laser spot diameter and powder layer thickness were varied for single-melt tracks to determine the influence of a parameter variation on the measured sensory signals. The effects of the scan direction and position were also analysed in detail. The influence of surface roughness on the detected sensory signals was simulated by a machined substrate plate. Findings Parameter variations are confirmed to be detectable. Because of strong directional and positional dependencies of the melt-pool monitoring signal a calibration algorithm is necessary. A decreasing signal is detected for increasing layer thickness. Surface roughness is identified as a dominating factor with major influence on the melt-pool monitoring signal exceeding other process flaws. Research limitations/implications This work was performed with the hardware of a commercially available QMMeltpool 3D system of an LPBF machine M2 of the company Concept Laser GmbH. The results are relevant for all melt-pool monitoring research activities connected to LPBF, as well as for end users and serial production. Originality/value Surface roughness has not yet been revealed as being one of the most important origins for signal deviations in coaxial melt-pool monitoring. To the best of the authors’ knowledge, the direct comparison of influences because of parameters and environment has not been published to this extent. The detection, evaluation and remelting of surface roughness constitute a plausible workflow for closed-loop control in LPBF.


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