Density aware shape modeling to control mass properties of 3D printed objects

Yamanaka, Daiki; Suzuki, Hiromasa; Ohtake, Yutaka

doi:10.1145/2669024.2669040

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…To make the model spin like a top or yo-yo, Bä cher et al modified the mass distribution by excavating holes in the model body to keep the model stable during rotation (9). Yamanaka and coworkers altered the model's underlying structure to ensure that the mass distribution met the predetermined predictions (10). This field of study is being researched.…”

Section: Static Modelmentioning

confidence: 99%

3D Printing Model Optimization

Alam¹

2023

Sci Insights

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The instantiation of 3D models has become much more convenient attributable to the development of 3D printing technology, but processing digital geometry now faces new difficulties. The model optimization inspired by 3D printing is summarized in this paper from the two processes of model creation and printing in order to be able to print out models that have accomplished some defined functionalities.

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Section: Static Modelmentioning

confidence: 99%

3D Printing Model Optimization

Alam¹

2023

Sci Insights

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“…Chen [ 32 ] proposed a truss-based internal support structure, which can directly put the microstructure into the printed workpiece as support, thus completing the design of the mount; it can be optimized now from the inside of the part, thus establishing the support. Yamanaka [ 33 ] proposed a unique support structure. This method first optimizes the part model to achieve specific quality characteristics, then builds a truss structure to process the inside of the part iteratively, and finally reaches the amount that meets the requirements.…”

Section: Factors Affecting Slm Manufacturingmentioning

confidence: 99%

A Review of Research Progress in Selective Laser Melting (SLM)

et al. 2022

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SLM (Selective Laser Melting) is a unique additive manufacturing technology which plays an irreplaceable role in the modern industrial revolution. 3D printers can directly process metal powder quickly to obtain the necessary parts faster. Shortly, it will be possible to manufacture products at unparalleled speeds. Advanced manufacturing technology is used to produce durable and efficient parts with different metals that have good metal structure performance and excellent metal thermal performance, to lead the way for laser powder printing technology. Traditional creative ways are usually limited by time, and cannot respond to customers’ needs fast enough; for some parts with high precision and complexity, conventional manufacturing methods are inadequate. Contrary to this, SLM technology offers some advantages, such as requiring no molds this decreases production time and helps to reduce costs. In addition, SLM technology has strong comprehensive functions, which can reduce assembly time and improve material utilization. Parts with complex structures, such as cavities and three-dimensional grids, can be made without restricting the shape of products. Products or parts can be printed quickly without the use of expensive production equipment. The product quality is better, and the mechanical load performance is comparable to traditional production technologies (such as forging). This paper introduces in detail the process parameters that affect SLM technology and how they affect SLM, commonly used metal materials and non-metallic materials, and summarizes the current research. Finally, the problems faced by SLM are prospected.

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“…This concept has been used in [1] to improve the static stability of a printed model, by using a voxel representation. Extensions along this line include alternative geometric discretizations for efficient computation (e.g., the adaptive octree [2], truss structures [24], ray-reps [25]), as well as various static/dynamic behaviors (e.g., spinning [2], floating [26], swinging [27]). In these approaches, support structures for a carved interior void cannot be avoided.…”

Section: Shape Optimizationmentioning

confidence: 99%

Support-Free Hollowing

Wang

Liu

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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Offsetting-based hollowing is a solid modeling operation widely used in 3D printing, which can change the model's physical properties and reduce the weight by generating voids inside a model. However, a hollowing operation can lead to additional supporting structures for fabrication in interior voids, which cannot be removed. As a consequence, the result of a hollowing operation is affected by these additional supporting structures when applying the operation to optimize physical properties of different models. This paper proposes a support-free hollowing framework to overcome the difficulty of fabricating voids inside a solid. The challenge of computing a support-free hollowing is decomposed into a sequence of shape optimization steps, which are repeatedly applied to interior mesh surfaces. The optimization of physical properties in different applications can be easily integrated into our framework. Comparing to prior approaches that can generate support-free inner structures, our hollowing operation can reduce more volume of material and thus provide a larger solution space for physical optimization. Experimental tests are taken on a number of 3D models to demonstrate the effectiveness of this framework.

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Density aware shape modeling to control mass properties of 3D printed objects

Cited by 11 publications

References 13 publications

3D Printing Model Optimization

3D Printing Model Optimization

A Review of Research Progress in Selective Laser Melting (SLM)

Support-Free Hollowing

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