The status, challenges, and future of additive manufacturing in engineering

Gao, Wei; Zhang, Yunbo; Ramanujan, Devarajan; Ramani, Karthik; Chen, Yong; Williams, Christopher B.; Wang, Charlie C. L.; Shin, Yung C.; Zhang, Song; Zavattieri, Pablo

doi:10.1016/j.cad.2015.04.001

Cited by 1,873 publications

(1,047 citation statements)

References 200 publications

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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

106

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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

106

View full text Add to dashboard Cite

show abstract

“…have been obtained [12]. Nowadays, AM is one of the most promising manufacturing techniques [13]. The aim of the present work is to understand if this technique matches the structural and process requirements of the new UAV research and industrial development.…”

Section: The Fused Deposition Modelling Technologymentioning

confidence: 98%

Characterization of ABS specimens produced via the 3D printing technology for drone structural components

Ferro

Brischetto

Torre

et al. 2016

Curved and Layered Structures

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Abstract:The Fused Deposition Modelling (FDM) technology is widely used in rapid prototyping. 3D printers for home desktop applications are usually employed to make non-structural objects. When the mechanical stresses are not excessive, this technology can also be successfully employed to produce structural objects, not only in prototyping stage but also in the realization of series pieces. The innovative idea of the present work is the application of this technology, implemented in a desktop 3D printer, to the realization of components for aeronautical use, especially for unmanned aerial systems. For this purpose, the paper is devoted to the statistical study of the performance of a desktop 3D printer to understand how the process performs and which are the boundary limits of acceptance. Mechanical and geometrical properties of ABS (Acrylonitrile Butadiene Styrene) specimens, such as tensile strength and stiffness, have been evaluated. ASTM 638 type specimens have been used. A capability analysis has been applied for both mechanical and dimensional performances. Statistically stable limits have been determined using experimentally collected data.

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“…Many branches of industry are looking to benefit from the opportunities this development offers (Gao et al 2015). However, simply using an existing design and manufacturing it using AM is not an effective approach.…”

mentioning

confidence: 99%

An additive manufacturing filter for topology optimization of print-ready designs

Langelaar

2016

Struct Multidisc Optim

254

177

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Additive manufacturing (AM) offers exciting opportunities to manufacture parts of unprecedented complexity. Topology optimization is essential to fully exploit this capability. However, AM processes have specific limitations as well. When these are not considered during design optimization, modifications are generally needed in post-processing, which add costs and reduce the optimized performance. This paper presents a filter that incorporates the main characteristics of a generic AM process, and that can easily be included in conventional density-based topology optimization procedures. Use of this filter ensures that optimized designs comply with typical geometrical AM restrictions. Its performance is illustrated on compliance minimization problems, and a 2D Matlab implementation is provided.

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The status, challenges, and future of additive manufacturing in engineering

Cited by 1,873 publications

References 200 publications

Cost models of additive manufacturing: A literature review

Cost models of additive manufacturing: A literature review

Characterization of ABS specimens produced via the 3D printing technology for drone structural components

An additive manufacturing filter for topology optimization of print-ready designs

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