scholarly journals Clever Support: Efficient Support Structure Generation for Digital Fabrication

2014 ◽  
Vol 33 (5) ◽  
pp. 117-125 ◽  
Author(s):  
J. Vanek ◽  
J. A. G. Galicia ◽  
B. Benes
CIRP Annals ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 117-120 ◽  
Author(s):  
Yicha Zhang ◽  
Zhiping Wang ◽  
Yancheng Zhang ◽  
Samuel Gomes ◽  
Alain Bernard

2020 ◽  
Vol 128 ◽  
pp. 102908
Author(s):  
Seongje Jang ◽  
Byungjin Moon ◽  
Kunwoo Lee

Author(s):  
Junghoon Hur ◽  
Kunwoo Lee

Abstract Stereolithography is a process used to rapidly produce polymer components directly from a computer representation of a part. There are several considerations to be made for the efficient use of the process. Especially, the necessity of support structures, which prevent the part from warping, sagging, or parachuting and toppling as the elevator moves up and down in the resin, is one concern. After solidification, the support structures must be removed in the end. Thus the more the support structures, the more it increases the finishing operations. Especially for a complicated part, the removal operations may be difficult, take so much time, and even reduce the accuracy of the product. It is, therefore, important to efficiently generate the support structure for each part geometry. This paper proposes a algorithm to automatically generate the support structure focused on accuracy, efficiency, convenience, and generation speed. Besides, we can exactly determine an optimal build-up direction for the minimum volume of support structures.


Author(s):  
Guanglei Zhao ◽  
Chi Zhou ◽  
Sonjoy Das

Support structures are typically required to hold parts in place in various additive manufacturing processes. Design of support structure includes identifying both anchor locations and geometries. Extensive work has been done to optimize the anchor locations to reliably keep part in position, and minimize the contacting area as well as the total volume of the support structures. However, relatively few studies have been focused on the mechanical property analysis of the structure. In this paper, we proposed a novel design optimization method to identify the anchor geometry based on solid mechanics theory. Finite element analysis method is utilized to study the stress distribution on both the support structure and main part. Particle Swarm Optimization (PSO) algorithm with a novel constraining handling strategy is employed to optimize the design model. A gradient descent local search algorithm is utilized to quickly locate the global solution in the vicinity explored by PSO. The developed optimization framework is deployed on a bottom-up projection based Stereolithography process. The experimental results show that the optimized design can efficiently reduce the material used on support structure and marks left on the part.


Author(s):  
Anne Marsan ◽  
Debasish Dutta

Abstract This paper focuses on process planning for LM and provides a survey of techniques developed to date. Process planning is performed to generate the tool paths and process parameters for an object that is to be built by a particular LM process. The steps required are: part orientation, support structure generation, slicing, path planning, and process parameter selection. STL files, solid models, and image and reverse engineering data are all considered as possible input to the process planning system. The techniques reviewed can be used for a variety of LM systems.


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