Redesign and cost estimation of rapid manufactured plastic parts

Atzeni, Eleonora; Iuliano, Luca; Minetola, Paolo; Salmi, Alessandro

doi:10.1108/13552541011065704

Cited by 168 publications

(152 citation statements)

References 16 publications

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“…It should be interesting to hypothesize a hybrid production model that includes the post-processing cost of AM, not only in terms of quality controls and support removal but in terms of material removal (Campbell et al, 2012;Manogharan et al, 2015). Existing cost models consider the activities directly connected to building process of AM; however, due to the fact that AM allows the production of end use product, it is important to include in the cost model all the activities involved to the calculation of the full cost of a finish part like, for example, redesign costs (Eleonora Atzeni et al, 2010;Hague et al, 2003) and material removal cost (Manogharan et al, 2016). For this reason, the definition of a new cost model appears necessary.…”

Section: Discussionmentioning

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: Discussionmentioning

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

“…Atzeni et al 2010;Hopkinson and Dickens 2003) have concluded that AM processes are more suitable to series production of small parts and found an indirect strong correlation between size and production volume. Surprisingly however, our survey did not reveal any significant statistical correlation between these two variables.…”

Section: Experience In Designing End Use Component In Ammentioning

confidence: 99%

“…There have been some suggestions that AM for plastics can be suitable for production volumes up to tens of thousands (Atzeni et al 2010;Hopkinson and Dickens 2003;Stucker 2011). However, in our survey, the production volumes indicated were typically between 11 and 1000, which is in agreement with the results reported by Karania and Kazmer (2007).…”

Section: Experience In Designing End Use Component In Ammentioning

confidence: 99%

“…Nevertheless, it is increasingly apparent that the new design opportunities enabled by AM have latent benefits beyond just prototyping. With continued advancement, AM has now shown significant potential to become an economically viable series production method; particularly for low volume production of end-use products (Ahuja, Karg, and Schmidt 2014;Atzeni et al 2010Atzeni et al , 2014Manteil and Elsey 2016;Wohlers 2015).…”

Section: Introductionmentioning

confidence: 99%

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Investigation of design for additive manufacturing in professional design practice

Pradel

Zhu

Bibb

et al. 2018

Journal of Engineering Design

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Additive Manufacturing (AM) technologies are widely adopted in design practice for prototyping. However, the extent to which practitioners are knowledgeable and experienced in designing components for series production using AM remains poorly understood. This study presents the results of an online survey aimed at uncovering this emerging design activity, with additional evidence provided by semi-structured interviews with 18 designers. One hundred ten practising designers responded. The majority of the respondents remain sceptical about the potential for AM as a process for series production, citing cost and technical capabilities as key barriers. Only 23 reported experience in designing components for series production using AM, with the majority of these designing parts to be produced from plastic. The survey revealed that these designers have developed their own 'design rules' based primarily on personal experience. These rules, however, tended to focus on ensuring 'printability' and did not provide support for taking advantage of the unique capabilities of AM processes. The designers tended to treat AM processes as a uniform set of production processes, and so the design rules they used were generic and not directed to the capabilities of specific AM processes. ARTICLE HISTORY

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“…When applied in experimental studies, the discussed methods may reduce costs of model fabrication [28]. Models built with the use of the proposed approaches featured a reliable reconstruction of both internal and external anatomical structures.…”

Section: Discussionmentioning

confidence: 99%

Methods of reconstructing complex multi-structural anatomical objects with RP techniques

Kudasik

Miechowicz

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This article presents reconstruction methods applied to a (geometrically and physically) complex structural object with the use of RP and RT techniques. The methods are innovative due to their hybrid -multi-model and multi-material -approach to reconstruction, as well as the application of multiple technologies. An experimental analysis was conducted to verify the feasibility of rapid prototyping (RP) techniques in the reconstruction of complex internal structures using materials of diverse properties. Some RP techniques offer the possibility of discriminating between diverse objects through the use of different colours. Such models are well-suited for diagnostic purposes, for better visualisation of complex clinical problems, pathological alterations, etc. Nevertheless, they fail to fully reflect physical and mechanical properties of objects, which renders them useful in experimental analysis only to a limited extent. Their basic drawback is that they merely reflect geometrical features of the examined object. The methods discussed in the present article enable modelling multi-object structures in a single process based on the PolyJet Matrix technology and materials of different physical properties by means of a hybrid method. The article also describes the process of modelling complex anatomical structures of soft tissues and bones using models of the maxilla and the mandible as examples. The study is based on data acquired through standard computed tomography (CT). In addition, the article addresses selected aspects of CT acquisition, generation of numerical models composed of several anatomical structures (objects) and fabricating physical multi-object models.Key words: medical modelling, rapid prototyping, computed tomography (CT), experimental tests. tual models (3D numerical models) can be developed with the use of CT or MRI data. They can be useful in designing and fabricating physical models of real tissues by means of rapid prototyping techniques [3,4]. 3D models generated by the authors of the present study are shown in Fig. 2; they are based on anatomical structures presented in Fig.1. RP methods enable us to create physical models for medical purposes [5] such as: Methods of reconstructing complex multi-structural anatomical objects with RP techniques• maxillofacial and dental surgeries, • orthopaedic and spinal surgeries, • oncology and reconstruction surgeries, • customised joint replacement prosthesis, • patient-specific instrumentation (orthoses), • implant design, testing and validation.

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Redesign and cost estimation of rapid manufactured plastic parts

Cited by 168 publications

References 16 publications

Cost models of additive manufacturing: A literature review

Cost models of additive manufacturing: A literature review

Investigation of design for additive manufacturing in professional design practice

Methods of reconstructing complex multi-structural anatomical objects with RP techniques

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