2020
DOI: 10.1590/0104-530x5363-20
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Selection of additive manufacturing technologies in productive systems: a decision support model

Abstract: Abstract: Additive Manufacturing (AM) has seen continued growth in adoption by organizations in recent years, changing production processes, supply chain, maintenance, product development and the global economy. There are several Additive Manufacturing technologies and equipment on the market, however, there are no guidelines, benchmarking or decision support tools for proper selection. After a systematic review of the literature, the lack of propositions that act during the development of the product … Show more

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Cited by 14 publications
(4 citation statements)
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References 71 publications
(102 reference statements)
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“…-минимизации государственного контроля и отсутствию жестких регламентирующих документов (что только ускоряет распространение технологий и дальнейшее экспериментирование) (Calderaro, Lacerda & Veit, 2020).…”
Section: стратегии развития аддитивных технологий и их нормативная ос...unclassified
“…-минимизации государственного контроля и отсутствию жестких регламентирующих документов (что только ускоряет распространение технологий и дальнейшее экспериментирование) (Calderaro, Lacerda & Veit, 2020).…”
Section: стратегии развития аддитивных технологий и их нормативная ос...unclassified
“…The thermal stress can be released by rising the temperature of the process However, the following risks associate with EBM also need to be considered: Given the availability of technologies that make it possible to obtain optimized blade fin geometries, an appropriate selection of material needs to be considered. Titanium, nickel and chrome-cobalt alloys can be used in the EBM process [26]. The benefits of titanium alloys over nickel alloys were already summarized in Section 2.1.…”
Section: Additive Manufacturing 231 Printingmentioning
confidence: 99%
“…Moreover, the other challenges include: (i) size limitations [1], [15], (ii) quality consistency [16], (iii) scaling issues [17], [18] and (iv) high material cost [16], [18], [19]. In this context, there are mainly two parameters: (i) Process parameter which primarily influences material processing during AM and (ii) Structural parameter which provides a 'post-mortem analysis' in terms of microstructural features of AM products and hence, is very essential in selection of materials for AM [20]. Optimisation of these two parameters is extremely necessary for overcoming the aforementioned challenges associated with AM [21]- [40].…”
Section: Introductionmentioning
confidence: 99%