2018 Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Gianpaolo Savio ◽  
Stefano Rosso ◽  
Roberto Meneghello ◽  
Gianmaria Concheri

Advances in additive manufacturing technologies facilitate the fabrication of cellular materials that have tailored functional characteristics. The application of solid freeform fabrication techniques is especially exploited in designing scaffolds for tissue engineering. In this review, firstly, a classification of cellular materials from a geometric point of view is proposed; then, the main approaches on geometric modeling of cellular materials are discussed. Finally, an investigation on porous scaffolds fabricated by additive manufacturing technologies is pointed out. Perspectives in geometric modeling of scaffolds for tissue engineering are also proposed.


Author(s):  
D Hu ◽  
H Mei ◽  
R Kovacevic

Solid freeform fabrication (SFF) methods for metal part building, such as three-dimensional laser cladding, are generally less stable and less repeatable than other rapid prototyping methods. A large number of parameters govern the three-dimensional laser cladding process. These parameters are sensitive to the environmental variations, and they also influence each other. This paper introduces the research work in Research Center for Advanced Manufacturing (RCAM) to improve the performance of its developed three-dimensional laser cladding process: laser-based additive manufacturing (LBAM). Metal powder delivery real-time sensing is studied to achieve a further controllable powder delivery that is the key technology to build a composite material or alloy with a functionally gradient distribution. An opto-electronic sensor is designed to sense the powder delivery rate in real time. The experimental results show that the sensor's output voltage has a good linear relationship with the powder delivery rate. A closed-loop control system is also built for heat input control in the LBAM process, based on infrared image sensing. A camera with a high frame rate (up to 800frame/s) is installed coaxially to the top of the laser—nozzle set-up. A full view of the infrared images of the molten pool can be acquired with a short nozzle—substrate distance in different scanning directions, eliminating the image noise from the metal powder. The closed-loop control results show a great improvement in the geometrical accuracy of the built feature.


Author(s):  
K. R. Balasubramanian ◽  
V. Senthilkumar ◽  
Divakar Senthilvel

Additive manufacturing (AM) is also referred to as 3D printing, rapid prototyping, solid freeform fabrication, rapid manufacturing, desktop manufacturing, direct digital manufacturing, layered manufacturing, generative manufacturing, layered manufacturing, solid free-form fabrication, rapid prototype, tool-less model making, etc. It is emerging as an important manufacturing technology. It is the process of building up of layer-by-layer by depositing a material to make a component using the digital 3D model data. The main advantages of AM are mass customization, minimisation of waste, freedom of designing complex structures, and ability to print large structures. AM is broadly applicable to all classes of materials including metals, ceramics, polymers, composites, and biological systems. The AM methods used for producing complex geometrical shapes are classified based either on energy source (laser, electron beam) used or the material feed stock (powder feed, wire feed).


2004 ◽  
Vol 126 (3) ◽  
pp. 637-639 ◽  
Author(s):  
Rajeev Nair, ◽  
Wenping Jiang, and ◽  
Pal Molian

This paper reports a novel solid freeform fabrication process, Nanoparticle Additive Manufacturing (NAM), for dispersing nanoparticles into molten matrix for improved mechanical properties. In addition, it also presents the characterization of microstructure and hardness of the fabricated Ni-nanoparticles dispersed H13 steel gear-shaped molds.


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