A Build-Time Estimator for Additive Manufactured Objects

Angelo, Luca Di; Stefano, Paolo Di; Guardiani, Emanuele

doi:10.1007/978-3-030-31154-4_79

Cited by 3 publications

(5 citation statements)

References 22 publications

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“…First, the error for the test case F was equal to 14 % of the actual build time, which indicates that the error was not characterised by a well-known trend, meaning the level of confidence of the estimations is low. Moreover, a parametric method such as that adopted in [34] can provide a better estimation of the actual build time while requiring significantly less time for the set-up.…”

Section: Resultsmentioning

confidence: 99%

An advanced GCode analyser for predicting the build time for additive manufacturing components

2020

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<p class="Abstract">Additive manufacturing is a technology for quickly fabricating physical models, functional prototypes, and small batches of parts by stacking two-dimensional layered features directly from computer-aided design data. One of the most important challenges in this sector relates to the capability to predict the build time in advance, since this is crucial to evaluating the production costs. In this paper, an accurate method for obtaining build-time is proposed. This method is based on an advanced GCode analyzer written in Python following an object-oriented paradigm for scalability and maintainability. Various examples are used to demonstrate the reliability of the algorithm, while its potential applications are also illustrated.</p>

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Section: Resultsmentioning

confidence: 99%

An advanced GCode analyser for predicting the build time for additive manufacturing components

2020

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“…Additionally, the cost and time required for PLA sample fabrication were estimated based on the building time on the FDM equipment and the amount of material that was used [ 58 ]. Although there are different cost models associated with AM [ 59 ], direct costs are generally considered derived from raw material consumption, whereas indirect costs are related to 3D printer usage (energy, maintenance, and equipment depreciation).…”

Section: Methodsmentioning

confidence: 99%

Effect of Sterilization on the Dimensional and Mechanical Behavior of Polylactic Acid Pieces Produced by Fused Deposition Modeling

Garnica-Bohórquez,

Güiza-Argüello,

López-Gualdrón

2023

Polymers

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To successfully implement additive manufacturing (AM) techniques for custom medical device (MD) production with low-cost resources, it is imperative to understand the effect of common and affordable sterilization processes, such as formaldehyde or steam sterilization, on pieces manufactured by AM. In this way, the performance of low-risk MDs, such as biomodels and surgical guides, could be assessed for complying with safety, precision, and MD delivery requirements. In this context, the aim of the present work was to evaluate the effect of formaldehyde and steam sterilization on the dimensional and mechanical stability of standard polylactic acid (PLA) test pieces produced by fused deposition modeling (FDM). To achieve this, PLA samples were sterilized according to the sterilization protocol of a public hospital in the city of Bucaramanga, Colombia. Significant changes regarding mechanical and dimensional properties were found as a function of manufacturing parameters. This research attempts to contribute to the development of affordable approaches for the fabrication of functional and customized medical devices through AM technologies, an issue of particular interest for low- and middle-income countries.

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“…The first is the hypothesis of a perfectly planar profile of the deposed layer. Later studies suggested a more accurate approximation with the B-spline curve [52] or elliptical profiles [53,54].…”

Section: Build Orientationmentioning

confidence: 99%

“…Consequently, surface quality evaluation based on R a does not give inferences useful to finding the build direction that minimizes the stair-stepping effect (the main component of the surface defectiveness) (Figure 1). To this purpose, in [53], the authors suggest to use the index P a [60], that evaluates quality surface better than R a in those cases where the stair-stepping effect is significant, as for the case of Figure 8. The optimization criterion to find the best build direction in terms of surface quality is defined by the following expression:…”

Section: Build Orientationmentioning

confidence: 99%

“…Di Angelo et al [40] use into their work a detailed linear parametric method, defined for a specific technology (FDM). This constrain is overcome in [53], where the parametric model is implemented by an Artificial Neural Network, demonstrating that accuracy and stability are improved. Since a similar solution is proposed by none of the analyzed papers related to the optimization task, it could be interesting to spend efforts, in the future, for integrating a similar approach into OF defining build time.…”

Section: Build Timementioning

confidence: 99%

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Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review

Angelo

Stefano

Guardiani

2020

JMMP

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By additive manufacturing technologies, an object is produced deposing material layer by layer. The piece grows along the build direction, which is one of the main manufacturing parameters of Additive Manufacturing (AM) technologies to be set-up. This process parameter affects the cost, quality, and other important properties of the manufactured object. In this paper, the Objective Functions (OFs), presented in the literature for the search of the optimal build direction, are considered and reviewed. The following OFs are discussed: part quality, surface quality, support structure, build time, manufacturing cost, and mechanical properties. All of them are distinguished factors that are affected by build direction. In the first part of the paper, a collection of the most significant published methods for the estimation of the factors that most influence the build direction is presented. In the second part, a summary of the optimization techniques adopted from the reviewed papers is presented. Finally, the advantages and disadvantages are briefly discussed and some possible new fields of exploration are proposed.

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A Build-Time Estimator for Additive Manufactured Objects

Cited by 3 publications

References 22 publications

An advanced GCode analyser for predicting the build time for additive manufacturing components

An advanced GCode analyser for predicting the build time for additive manufacturing components

Effect of Sterilization on the Dimensional and Mechanical Behavior of Polylactic Acid Pieces Produced by Fused Deposition Modeling

Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review

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