Optimum part orientation in Rapid Prototyping using genetic algorithm

Phatak, Amar; Pande, S.S.

doi:10.1016/j.jmsy.2012.07.001

Cited by 114 publications

(45 citation statements)

References 15 publications

(25 reference statements)

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“…Genetic algorithms do not scale well when multiple criteria are to be evaluated. The effectiveness of an algorithm in finding orientations is only as good as the fitness function that it uses [32].…”

Section: Methodsmentioning

confidence: 99%

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Ten challenges in 3D printing

Oropallo

Piegl

2015

Engineering with Computers

314

170

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predominantly in two ways: (1) material is removed from a stock, or (2) material is added to a part in progress that started out as a non-existent entity, e.g., an empty moving table or a box of powder with no part being solidified, depending on the type of manufacturing process being deployed. 3D printing is a technology that adds material to produce the part, and hence, it is also called additive manufacturing. Our notion of printing involves transferring ink to paper, line-by-line until the document is completed. Generalizing this process to 3D would involve transferring material to 3D space layer-by-layer till the object is completed. Since most of the 3D printers manufacture objects layer-by-layer, the term 3D printing struck.Since our 2D printers have become such common, and by-and-large, fairly reliable machines, this may create the impression that going from 2D to 3D is a straightforward task. The third dimension has always posed a challenge to mankind (according to surveys we performed, a significant percentage of people are 3D blind), so much so that we believe that 3D printing will be no exception. The ten challenges below illustrate the rocky road ahead and show that this technology may not be as disruptive, at least in the short term, as the media wants the public to believe. The list is by no means exhaustive and it represents our understanding of and opinion about the technology. We selected what we believed to be the most relevant papers for this review. Challenge 1: shape optimizationOptimization of the design space is made possible with additive manufacturing since the process has the ability to fill the interior part of the object in practically infinite ways. The design space is any area of the model that can be Abstract Three dimensional printing has gained considerable interest lately due to the proliferation of inexpensive devices as well as open source software that drive those devices. Public interest is often followed by media coverage that tends to sensationalize technology. Based on popular articles, the public may create the impression that 3D printing is the Holy Grail; we are going to print everything as one piece, traditional manufacturing is at the brink of collapse, and exotic applications, such as cloning a human body by 3D bio-printing, are just around the corner. The purpose of this paper is to paint a more realistic picture by identifying ten challenges that clearly illustrate the limitations of this technology, which makes it just as vulnerable as anything else that had been touted before as the next game changer.

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Section: Methodsmentioning

confidence: 99%

“…These are both the causes of poor surface quality and accuracy. The slicing process relates directly to the build time, accuracy, and roughness of the part [32].…”

Section: Challenge 9: Slicingmentioning

confidence: 99%

Ten challenges in 3D printing

Oropallo

Piegl

2015

Engineering with Computers

314

170

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“…A factor becoming more important is the mechanical resilience of parts as AM processes move on from rapid prototyping to direct manufacturing and series production. These mechanical properties show anisotropic behavior due to the layered structure, meaning an optimized orientation regarding the load axes of a part can be useful, too [12].…”

Section: Theoretical Description Of the Modelsmentioning

confidence: 99%

Optimized build orientation of additive manufactured parts for improved surface quality and build time

Delfs

Tows

Schmid

2016

Additive Manufacturing

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“…The use of optimization in AM [3] is generally done into thecontext of optimization of the build direction [4], parameter optimization trades, and optimization construction layers algorithmand so on. The optimization of the quantity of material used is an important goal.…”

Section: A Optimization In Additive Manufacturingmentioning

confidence: 99%

Optimization of Internal Patterns and Support in Additive Manufacturing

Ranjan¹

2018

IJRASET

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Rapid prototyping (RP) and more generally Additive Manufacturing (AM) enable the manufacture of complex geometries, which are very difficult to build with classical production. There are numerous technologies that are using different kind of material. For each of these, there are at least two materials: the production material and the support one. Support material is, in most cases, cleaned and becomes amanufacturing residue. Improve the material volume and the global mass of the product is an essentialaim surrounding the integration of simulation in additive manufacturing process. Moreover the layerby-layer technology of additive manufacturing allows the design of innovative objects and the use of topological optimization in this context can create a very interesting combination. The purpose of our paper is to present a methodology and a tool, which allow the use of topological optimization for the preparation of model for RP and AM.

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Optimum part orientation in Rapid Prototyping using genetic algorithm

Cited by 114 publications

References 15 publications

Ten challenges in 3D printing

Ten challenges in 3D printing

Optimized build orientation of additive manufactured parts for improved surface quality and build time

Optimization of Internal Patterns and Support in Additive Manufacturing

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