Additive manufacturing: A user's guide

Nickels, Liz

doi:10.1016/j.mprp.2016.02.045

Cited by 13 publications

(6 citation statements)

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“…Lifecycle cost, sustainability, supply chain and production costs have been less focused on. General aspects of AM (Bikas et al, 2015;Bogers et al, 2016;Brans, 2013;Cardaropoli et al, 2012a;Ferro et al, 2016;Gao et al, 2015;Go & Hart, 2016;Hedrick et al, 2015;Kianian et al, 2016;Lindemann et al, 2015;Mellor et al, 2014;Muita et al, 2015;Nickels, 2016;Rayna & Striukova, 2016;Scholz et al, 2016;Winkless, 2015;Wits et al, 2016;Wong & Hernandez, 2012); industry (Brettel et al, 2016;Gaub, 2015;Fera & Macchiaroli, 2010;Stock & Seliger, 2016); implications of its use (Bogers et al, 2016;Huang et al;Newman et al, 2015;Rayna & Striukova, 2016); example of its application (Caiazzo et al, 2013;Cardaropoli et al, 2012b;Gupta et al, 2016;Huang et al;Uhlmann et al, 2015;Wits et al, 2016); flexibility (Brettel et al, 2016;Cox et al, 2016) and technology selection (Newman et al, 2015) allow us to contextualize AM in an actual production system. There are many papers on mechanical characteristics, microstructures and properties (Brugo et al, 2016;Hinojos et al, 2016;Huynh et al;List et al, 2014;<...>…”

Section: Literature Review Methodsmentioning

confidence: 99%

Cost models of additive manufacturing: A literature review

Costabile¹,

Fera²,

Fruggiero³

et al. 2017

10.5267/j.ijiec

115

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From the past decades, increasing attention has been paid to the quality level of technological and mechanical properties achieved by the Additive Manufacturing (AM); these two elements have achieved a good performance, and it is possible to compare this with the results achieved by traditional technology. Therefore, the AM maturity is high enough to let industries adopt this technology in a more general production framework as the mechanical manufacturing industrial one is. Since the technological and mechanical properties are also beneficial for the materials produced with AM, the primary objective of this paper is to focus more on managerial facets, such as the cost control of a production environment, where these new technologies are present. This paper aims to analyse the existing literature about the cost models developed specifically for AM from an operations management point of view and discusses the strengths and weaknesses of all models.

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Section: Literature Review Methodsmentioning

confidence: 99%

Cost models of additive manufacturing: A literature review

Costabile¹,

Fera²,

Fruggiero³

et al. 2017

10.5267/j.ijiec

115

View full text Add to dashboard Cite

show abstract

“…AM technologies are typically categorized by their feedstock and heat source. Figure 5 illustrates the various AM technologies, according to Nickels [23]. As seen in Figure 5, there are two primary categories: powder bed fusion (PBF) and directed energy deposition (DED).…”

Section: Am Technologiesmentioning

confidence: 99%

“…Categorization of the different additive manufacturing (AM) technologies (adopted from Reference[23]). Materials 2020, 13, x FOR PEER REVIEW 6 of 36…”

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confidence: 99%

On Residual Stress Development, Prevention, and Compensation in Metal Additive Manufacturing

Carpenter

Tabei

2020

Materials

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One of the most appealing qualities of additive manufacturing (AM) is the ability to produce complex geometries faster than most traditional methods. The trade-off for this advantage is that AM parts are extremely vulnerable to residual stresses (RSs), which may lead to geometrical distortions and quality inspection failures. Additionally, tensile RSs negatively impact the fatigue life and other mechanical performance characteristics of the parts in service. Therefore, in order for AM to cross the borders of prototyping toward a viable manufacturing process, the major challenge of RS development must be addressed. Different AM technologies contain many unique features and parameters, which influence the temperature gradients in the part and lead to development of RSs. The stresses formed in AM parts are typically observed to be compressive in the center of the part and tensile on the top layers. To mitigate these stresses, process parameters must be optimized, which requires exhaustive and costly experimentations. Alternative to experiments, holistic computational frameworks which can capture much of the physics while balancing computational costs are introduced for rapid and inexpensive investigation into development and prevention of RSs in AM. In this review, the focus is on metal additive manufacturing, referred to simply as “AM”, and, after a brief introduction to various AM technologies and thermoelastic mechanics, prior works on sources of RSs in AM are discussed. Furthermore, the state-of-the-art knowledge on RS measurement techniques, the influence of AM process parameters, current modeling approaches, and distortion prevention approaches are reported.

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“…Titanium (Ti) is of interest in materials research for its complex microstructural properties and alloying capabilities, making it a particularly attractive candidate in light-weighting research due to its high strength, low density, and excellent fatigue strength, particularly for applications requiring corrosion resistance [1,2]. However, limitations on its use due to its relative cost and poor manufacturability relative to other materials [3,4] are drawing manufacturers towards alternate manufacturing methods such as additive manufacturing (AM) to produce Ti parts [5,6]. The capabilities of near-net-shape production through AM processes for Ti parts offers opportunities for machining and reduction in part design lead time, in addition to providing more design freedom than conventional subtractive machining, which leads to cost savings [6].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Improvement of Additive Manufactured Ti–TiB Material through Shot Peening

DiCecco

Mehdi

Edrisy

2021

Metals

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In this work, fatigue improvement through shot peening of an additive manufactured Ti–TiB block produced through Plasma Transferred Arc Solid Free-Form Fabrication (PTA-SFFF) was investigated. The microstructure and composition were explored through analytical microscopy techniques such as scanning and transmission electron microscopy (SEM, TEM) and electron backscatter diffraction (EBSD). To investigate the isotropic behavior within the additive manufactured Ti–TiB blocks, tensile tests were conducted in longitudinal, diagonal, and lateral directions. A consistent tensile behavior was observed for all the directions, highlighting a nearly isotropic behavior within samples. Shot peening was introduced as a postmanufacturing treatment to enhance the mechanical properties of AM specimens. Shot peening led to a localized increase in hardness at the near-surface where stress-induced twins are noted within the affected microstructure. The RBF-200 HT rotating-beam fatigue machine was utilized to conduct fatigue testing on untreated and shot-peened samples, starting at approximately 1/2 the ultimate tensile strength of the bulk material and testing within low- (<105 cycles) to high-cycle (>105 cycles) regimes. Shot-peened samples experienced significant improvement in fatigue life, increasing the fitted endurance limit from 247.8 MPa for the untreated samples to 318.3 MPa, leading to an increase in fatigue resistance of approximately 28%.

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Additive manufacturing: A user's guide

Cited by 13 publications

References 0 publications

Cost models of additive manufacturing: A literature review

Cost models of additive manufacturing: A literature review

On Residual Stress Development, Prevention, and Compensation in Metal Additive Manufacturing

Fatigue Improvement of Additive Manufactured Ti–TiB Material through Shot Peening

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