Topological optimization of internal patterns and support in additive manufacturing

Gardan, Nicolas; Schneider, Alexandre

doi:10.1016/j.jmsy.2014.07.003

Cited by 119 publications

(64 citation statements)

References 29 publications

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“…Another way is adapting the knowledge of Topology Optimization (TO) not at the design part itself but at the support structure [11]. In this methodology, the total print object is divided into two pieces: the design space (actual part) and non-design space (support material), illustrated in Figure 1.2.…”

Section: State Of the Art In Design For Additive Manufacturingmentioning

confidence: 99%

“…In this methodology, the total print object is divided into two pieces: the design space (actual part) and non-design space (support material), illustrated in Figure 1.2. This allows the non-design space to be treated separately, so that the volume of material can be optimized [11], using the methodology of TO. Another approach to reduce support material at 3D Printing (3DP) involves the strategic placement of the model [3].…”

Section: State Of the Art In Design For Additive Manufacturingmentioning

confidence: 99%

“…In the research they show a conversion from a solid-body to a topology optimized cellular-body. The cellular optimization is a different method of topology optimization as compared to the "spider-web" optimization [11,13].…”

Section: State Of the Art In Design For Additive Manufacturingmentioning

confidence: 99%

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Design of Self-Supported 3D Printed Parts for Fused Deposition Modeling

Lischke

Tovar

2016

Volume 4: 21st Design for Manufacturing and the Life Cycle Conference; 10th International Conference on Micro- And Nanosystems

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ii Dedicated to my family.iii ACKNOWLEDGMENTS Although my name is the only one featured on the title for this thesis, many people have devoted their time and effort to make the research successful. I thank everybody for their support and assistance to made this research possible.I wish to thank my advisor, Dr. Andrés Tovar. With Dr. Tovar, I have been blessed to have an advisor, who gave me the freedom to explore the area of interest by myself but also guided me and was an excellent mentor in every situation. Dr.Tovar helped me understand how to challenge an idea and to get more out of it. With his guidance I was able to look outside the box and push the research forward. With his trust, Dr. Tovar gave me the confidence in every situation to finish this thesis. During this research I was honored to work with Eduardo Salcedo. He is a undergraduate student in Motorsports Engineering and his interest and knowledge in3D printing is outstanding. Eduardo was a great help in not only providing his 3D printer, the MakerBot Replicator 2X, but he also helped in the study of self-supported structures. The discussions I had with him, helped as an input for the tests and results in this study.Last but not least, I want to say thank you to my family. It is hard to live in a new country by yourself. With the help and support of my family over the last two years I have overcome setbacks and stay focused on my graduate study. My family made it possible for me to gain my graduate experience at IUPUI and for that, I will cherish forever.

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Section: State Of the Art In Design For Additive Manufacturingmentioning

confidence: 99%

Section: State Of the Art In Design For Additive Manufacturingmentioning

confidence: 99%

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Design of Self-Supported 3D Printed Parts for Fused Deposition Modeling

Lischke

Tovar

2016

Volume 4: 21st Design for Manufacturing and the Life Cycle Conference; 10th International Conference on Micro- And Nanosystems

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“…The establishment DOE has given us the critical values on the limits of our machines. Thus, the minimum wall thickness or the minimum diameter of printable and cleaned without deterioration channels of the parts could be determined according to the materials and processes used in manufacturing [15].…”

Section: Integration Of Knowledge In Processes and Specific Materialsmentioning

confidence: 99%

Application to the additive fabrication of Object Oriented Methodology

Couturier

Schneider

2016

MATEC Web Conf.

Self Cite

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Abstract. Based on some experimentation in NUM3D Platform, we integrate the possibilities of additive manufacturing processes and the characteristics of the materials. We extend to the specific property inherent in form and control to define a new tetraptych CPMF (Control/Process/Material/Form). We propose, from this tetraptych, an Oriented Object Modelization suited to Additive Manufacturing. In this paper, we set up a virtual representation specific to industrial manufacturing. The final objective, in fine, will be to use this representation in a decision-support tool.

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“…14 The noncollinearity criterion in fringe projection is a significant limitation when measuring complex objects with self-occlusions, such as those produced by additive manufacturing (AM) techniques. 2,[15][16][17] During the measurement of complex objects, self-occlusions of the object geometry do not allow the camera to view all illuminated parts of the object. To acquire a full 3-D measurement of the object, the general solution is to place the object on a stage and rotate it multiple times with small angular increments to acquire a complete measurement, however, this approach is inefficient and time consuming.…”

Section: Introductionmentioning

confidence: 99%

Flexible decoupled camera and projector fringe projection system using inertial sensors

et al. 2017

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, "Flexible decoupled camera and projector fringe projection system using inertial sensors," Opt. Eng. Abstract. Measurement of objects with complex geometry and many self-occlusions is increasingly important in many fields, including additive manufacturing. In a fringe projection system, the camera and the projector cannot move independently with respect to each other, which limits the ability of the system to overcome object selfocclusions. We demonstrate a fringe projection setup where the camera can move independently with respect to the projector, thus minimizing the effects of self-occlusion. The angular motion of the camera is tracked and recalibrated using an on-board inertial angular sensor, which can additionally perform automated point cloud registration.

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Topological optimization of internal patterns and support in additive manufacturing

Cited by 119 publications

References 29 publications

Design of Self-Supported 3D Printed Parts for Fused Deposition Modeling

Design of Self-Supported 3D Printed Parts for Fused Deposition Modeling

Application to the additive fabrication of Object Oriented Methodology

Flexible decoupled camera and projector fringe projection system using inertial sensors

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