scholarly journals INFLUENCE OF 3D PRINTING PROCESS PARAMETERS ON THE RADIATION CHARACTERISTICS OF DENSE DIELECTRIC LENS ANTENNAS

2021 ◽  
Vol 116 ◽  
pp. 113-128
Author(s):  
Fikret Tokan ◽  
Selami Demir ◽  
Alper Çalışkan
Keyword(s):  
3D Printing ◽  
Process Parameters ◽  
Radiation Characteristics ◽  
Printing Process ◽  
Lens Antennas ◽  
Dielectric Lens

A hybrid multi-objective optimization of 3D printing process parameters using genetic algorithm

2021 ◽  
Author(s):  
Zahoor Ahmed Shariff ◽  
Lokesh M. ◽  
K. Mayandi ◽  
A. K. Saravanan ◽  
P. Sethu Ramalingam ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
3D Printing ◽  
Process Parameters ◽  
Multi Objective Optimization ◽  
Printing Process ◽  
Multi Objective

scholarly journals Comparison between Tests and Simulations Regarding Bending Resistance of 3D Printed PLA Structures

Polymers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 4371
Author(s):  
Dorin-Ioan Catana ◽  
Mihai-Alin Pop ◽  
Denisa-Iulia Brus
Keyword(s):  
Mechanical Properties ◽  
Additive Manufacturing ◽  
3D Printing ◽  
Process Parameters ◽  
Bending Stress ◽  
Test Results ◽  
Printing Process ◽  
Simulation Process ◽  
Bending Resistance ◽  
3D Printed

Additive manufacturing is one of the technologies that is beginning to be used in new fields of parts production, but it is also a technology that is constantly evolving, due to the advances made by researchers and printing equipment. The paper presents how, by using the simulation process, the geometry of the 3D printed structures from PLA and PLA-Glass was optimized at the bending stress. The optimization aimed to reduce the consumption of filament (material) simultaneously with an increase in the bending resistance. In addition, this paper demonstrates that the simulation process can only be applied with good results to 3D printed structures when their mechanical properties are known. The inconsistency of printing process parameters makes the 3D printed structures not homogeneous and, consequently, the occurrence of errors between the test results and those of simulations become natural and acceptable. The mechanical properties depend on the values of the printing process parameters and the printing equipment because, in the case of 3D printing, it is necessary for each combination of parameters to determine their mechanical properties through specific tests.

scholarly journals Optimization of photocrosslinkable resin components and 3D printing process parameters

2019 ◽  
Vol 97 ◽  
pp. 154-161 ◽  
Author(s):  
Antonio J. Guerra ◽  
Jan Lammel-Lindemann ◽  
Alex Katko ◽  
Alex Kleinfehn ◽  
Ciro A. Rodriguez ◽  
...  
Keyword(s):  
3D Printing ◽  
Process Parameters ◽  
Printing Process

scholarly journals Optimization of FDM 3D printing process parameters using Taguchi technique

2021 ◽  
Vol 1168 (1) ◽  
pp. 012022
Author(s):  
Kuldeep Sharma ◽  
Kapil Kumar ◽  
Kumar Rishi Singh ◽  
M S Rawat
Keyword(s):  
3D Printing ◽  
Process Parameters ◽  
Taguchi Technique ◽  
Printing Process

scholarly journals Effect of Printing Process Parameters on the Shape Transformation Capability of 3D Printed Structures

Polymers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 117
Author(s):  
Matej Pivar ◽  
Diana Gregor-Svetec ◽  
Deja Muck
Keyword(s):  
3D Printing ◽  
Process Parameters ◽  
Active Material ◽  
Hot Water ◽  
Shape Transformation ◽  
Printing Process ◽  
Speed Flow ◽  
Layer Structures ◽  
3D Printed ◽  
Active Segment

The aim of our research was to investigate and optimise the main 3D printing process parameters that directly or indirectly affect the shape transformation capability and to determine the optimal transformation conditions to achieve predicted extent, and accurate and reproducible transformations of 3D printed, shape-changing two-material structures based on PLA and TPU. The shape-changing structures were printed using the FDM technology. The influence of each printing parameter that affects the final printability of shape-changing structures is presented and studied. After optimising the 3D printing process parameters, the extent, accuracy and reproducibility of the shape transformation performance for four-layer structures were analysed. The shape transformation was performed in hot water at different activation temperatures. Through a careful selection of 3D printing process parameters and transformation conditions, the predicted extent, accuracy and good reproducibility of shape transformation for 3D printed structures were achieved. The accurate deposition of filaments in the layers was achieved by adjusting the printing speed, flow rate and cooling conditions of extruded filaments. The shape transformation capability of 3D printed structures with a defined shape and defined active segment dimensions was influenced by the relaxation of compressive and tensile residual stresses in deposited filaments in the printed layers of the active material and different activation temperatures of the transformation.

Optimization of FDM 3D printing process parameters for multi-material using artificial neural network

2020 ◽  
Vol 21 ◽  
pp. 1583-1591
Author(s):  
Dinesh Yadav ◽  
Deepak Chhabra ◽  
Ramesh Kumar Garg ◽  
Akash Ahlawat ◽  
Ashish Phogat
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
3D Printing ◽  
Process Parameters ◽  
Printing Process ◽  
Artificial Neural
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