A new algorithm for build time estimation for fused filament fabrication technologies

Zhu, Zhenshu; Dhokia, Vimal; Newman, Stephen T.

doi:10.1177/0954405416640661

Cited by 18 publications

(8 citation statements)

References 43 publications

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“…From an overall point of view, the design principles of specimens, along with the velocities and trajectories involved in the process, have been investigated [ 68 , 69 , 70 , 71 ]. As an emergent technology, there have been many studies on and innovations for these processes [ 10 , 60 , 72 , 73 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Infill Pattern on Mechanical Behavior of Polymeric and Composites Specimens Manufactured Using Fused Filament Fabrication Technology

2021

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This paper presents the results of a comparative evaluation of the tensile strength behaviors of parts obtained by additive manufacturing using fused filament fabrication (FFF) technology. The study investigated the influences of the deposition printing parameters for both polymers and fiber-reinforced polymers. Polymeric materials that are widely used in FFF were selected, including acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), and nylon. Carbon and glass continuous fibers were used to reinforce the nylon matrix in composite materials. The study utilized two manufacturing methods. Polymers were manufactured using an Ultimaker 2 Extended+ device and the fiber-reinforced polymer specimens were obtained using a Markforged Mark Two printer. The entire set of specimens was eventually subjected to destructive monoaxial tensile tests to measure their responses. The main goal of this study was to estimate the effect of the different infill patterns applied (zig-zag, concentric, and four different orientations lines) on the mechanical properties of pure thermoplastic materials and reinforced polymers. Results show a spectacular increase in the tensile stress at break, which for polymers reaches an average value of 27.53 MPa compared to 94.51 MPa in the case of composites (increase of 70.87%). A similar increase occurs in the case of tensile stress at yield with values of 31.87 MPa and 105.98 MPa, respectively, which represents an increase of 69.93%. The influence of the infill of the fiber is decisive, reaching, in the 0-0 arrangement, mean values of 220.18 MPa for tensile stress at break and 198.26 MPa for tensile stress at yield.

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Section: Introductionmentioning

confidence: 99%

Influence of Infill Pattern on Mechanical Behavior of Polymeric and Composites Specimens Manufactured Using Fused Filament Fabrication Technology

2021

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“…The build time differs based on the operating principle of AM, type of machinery and geometrical parameters of the part. The build time, t build of an AM process is given by [21,22]:…”

Section: Build Time Estimation In Fdmmentioning

confidence: 99%

Sustainability Analysis of Fused Deposition Modelling Process

Sharma

Dixit

2021

Materials Forming, Machining and Tribology

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Fused deposition modelling (FDM) is a popular additive manufacturing technology. This chapter discusses FDM process from the perspective of sustainability. Sustainability is one of the main concerns in the present era of manufacturing. The assessment of sustainability is important for comparison of the productivity and efficiency of FDM with other manufacturing processes. All the three facets of sustainability, i.e., economic, environmental and societal need to be addressed. In this article, the cost-analysis of FDM is carried considering it to be the first pillar of sustainability-analysis. The necessary cost variables and their importance are discussed for developing the cost model. For environmental sustainability, an analytical approach for the estimation of energy consumption, highlighting various energy-consuming elements, is discussed. Initially, deterministic cost and energy consumption models are presented, which are later converted to fuzzy set based models for handling uncertainties. The main uncertain variables are considered as fuzzy and the output values are obtained by carrying out fuzzy arithmetic operations. The values obtained from the fuzzy set based models are in the form of triplets (low, most likely and high), from which linear triangular membership functions can be constructed. Amongst the three aspects, the societal aspect is the least explored by researchers. This article makes an attempt to study the impact of FDM based additive manufacturing processes on the society. The overall sustainability analysis of two parts, manufactured by FDM, is presented.

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“…artificial neural networks (Munguía et al, 2009;Di Angelo and Di Stefano, 2011), taking theoretical and experimental background into account. Both methods are developed for the most common additive manufacturing processes such as Laminated Object Manufacturing (Kechagias et al, 1997), Material Jetting (Baumers et al, 2015), Selective Laser Sintering (Choi and Samavedam, 2002), Stereolithography (Frank and Fadel, 1995;Chen and Sullivan, 1996) and Fused Deposition Modeling (FDM) (Zhu et al, 2016;Komineas et al, 2018). As a consequence, the scientific efforts of recent years improved the computer-based methods for build time estimation delivering a very good agreement of estimated and real build time (Komineas et al, 2018).…”

Section: State Of the Artmentioning

confidence: 99%

A Method for Analyzing the Influence of Process and Design Parameters on the Build Time of Additively Manufactured Components

Hallmann¹,

Schleich²,

Wartzack³

2019

Proc. Int. Conf. Eng. Des.

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When using additive manufacturing processes, the choice of the numerous settings for the process and design parameters significantly influences the build and production time. To reduce the required build time, it is useful to adapt the parameters with the greatest influence. However, since the contribution of the individual parameters is not readily apparent, a sensible choice of process and design parameters can become a challenging task.Thus, the following article presents a method, that enables the product developer to determine the main contributors to the required build time of additively manufactured products. By using this sensitivity analysis method, the contributors of the individual parameters can be analyzed for a given parametrized CAD model with the help of an analysis-based build time estimation approach. The novelty of the contribution can be found in providing a method that allows studying both design and process parameters simultaneously, taking the machine to be used into account. The exemplary application of the presented method to a sample part manufactured by Fused Deposition Modeling demonstrates its benefits and applicability.

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A new algorithm for build time estimation for fused filament fabrication technologies

Cited by 18 publications

References 43 publications

Influence of Infill Pattern on Mechanical Behavior of Polymeric and Composites Specimens Manufactured Using Fused Filament Fabrication Technology

Influence of Infill Pattern on Mechanical Behavior of Polymeric and Composites Specimens Manufactured Using Fused Filament Fabrication Technology

Sustainability Analysis of Fused Deposition Modelling Process

A Method for Analyzing the Influence of Process and Design Parameters on the Build Time of Additively Manufactured Components

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