Sensitivity analysis of geometric errors in additive manufacturing medical models

Pinto, José; Arrieta, Cristóbal; Andía, Marcelo E.; Uribe, Sergio; Ramos‐Grez, Jorge; Vargas, Alex; Irarrázaval, Pablo; Tejos, Cristián

doi:10.1016/j.medengphy.2015.01.009

Cited by 56 publications

(34 citation statements)

References 28 publications

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“…Furthermore, bone surface curvature can also in uence model accuracy. Two studies revealed that the largest deviation errors occurred in bone epiphyses with high levels of curvature [23,24]. This was observed in our E FDM-CT group.…”

Section: Discussionsupporting

confidence: 62%

Geometric accuracy of an acrylonitrile butadiene styrene canine tibia model fabricated using fused deposition modelling and the effects of hydrogen peroxide gas plasma sterilisation

Hsu

Lin

Fan

et al. 2020

Preprint

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Background: Three-dimensional (3D) printing techniques have been used to produce anatomical models and surgical guiding instruments in orthopaedic surgery. The geometric accuracy of the 3D printed replica may affect surgical planning. This study assessed the geometric accuracy of an acrylonitrile butadiene styrene (ABS) canine tibia model printed using fused deposition modelling (FDM) and evaluated its morphological change after hydrogen peroxide (H 2 O 2 ) gas plasma sterilisation. The tibias of six canine cadavers underwent computed tomography for 3D reconstruction. Tibia models were fabricated from ABS on a 3D printer through FDM. Reverse-engineering technology was used to compare morphological errors (root mean square; RMS) between the 3D-FDM models and virtual models segmented from original tibia images (3D-CT) and between the models sterilised with H 2 O 2 gas plasma (3D-GAS) and 3D-FDM models o n tibia surface and in cross-sections at: 5%, 15%, 25%, 50%, 75%, 85%, and 95% of the tibia length. Results: The RMS mean ± standard deviation and average positive and negative deviation values for all specimens in E FDM-CT (3D-FDM vs. 3D-CT) were significantly higher than those in E GAS-FDM (3D-GAS vs. 3D-FDM; P < 0.0001). Mean RMS values for E FDM-CT at 5% bone length (proximal tibia) were significantly higher than those at the other six cross-sections ( P < 0.0001). Mean RMS differences for E GAS-FDM at all seven cross-sections were nonsignificant. Conclusions: The tibia models fabricated on an FDM printer had high geometric accuracy with a low RMS value. The surface deviation in E FDM-CT indicated that larger errors occurred during manufacturing than during sterilisation. Therefore, the model may be used for surgical rehearsal and further clinically relevant applications in bone surgery.

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Section: Discussionsupporting

confidence: 62%

Geometric accuracy of an acrylonitrile butadiene styrene canine tibia model fabricated using fused deposition modelling and the effects of hydrogen peroxide gas plasma sterilisation

Hsu

Lin

Fan

et al. 2020

Preprint

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“…Pinto et al also investigated the AM process but concentrated on accuracy, investigating the sensitivity of geometric errors of AM specimens [69]. Finally, fundamental science papers also investigated finite element modelling to predict strength of implants [61], and biocompatibility of nickel-titanium for selective laser melting (SLM) [66].…”

Section: Literature Typesmentioning

confidence: 99%

Reporting fidelity in the literature for computer aided design and additive manufacture of implants and guides

Burton

Peel

Eggbeer

2018

Additive Manufacturing

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The aim of this study was to critically evaluate the nature and reporting fidelity of literature about applications of computer aided design (CAD) and metal additive manufacture (AM) to surgical guides and implants. Increasingly, non-specialist designers such as surgeons or prosthetists are partaking in some or all of the design process. To comply with local regulations, it is imperative that quality is ensured during the design process, yet it is rare for literature to report on the design process of medical devices with sufficient detail to allow proper evaluation or reproduction. This study reviewed the CAD/AM literature for implant and guide design, focussing on detailed justifications for design decisions, economic impacts, and production methods. This review showed that the fidelity of reporting in the literature was low; with opportunities to report crucial design decisions, engineering parameters, and how these relate to clinical results being frequently missed. This research proposes the low fidelity in reporting is likely due to a combination of: reporting for different specialisms, resulting in a lack of expert knowledge in certain areas and assumed knowledge in others; commercial sensitivity of design and manufacturing methods; low volume of clinical cases; and a large gap in translating research to clinical applications. This study concluded that higher fidelity in reporting methods are required when discussing the design of AM medical implants, which would allow comparisons between studies, provide evidence to support design quality, and enable evidence-based decision-making.

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“…The geometrical and dimensional tolerances are a topic very felt also in other sectors such as the medical products. In this sector, it was found a contribution of 2015; in this chapter, it performed a sensitivity analysis on the several possible causes of the dimensional and geometrical errors that are possible in the production of this particular kind of objects [12]. The main elements of problem are (i) the quality of the image acquisition and printing, (ii) triangulation density, and (iii) segmentation threshold.…”

Section: Literature Reviewmentioning

confidence: 99%

Production Management Fundamentals for Additive Manufacturing

Fera¹,

Macchiaroli²,

Fruggiero³

et al. 2018

3D Printing

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The additive manufacturing (AM) is a new way to produce parts, which in the last years had a significant application in the traditional production environment, since it demonstrated its capability to produce parts without particular defects and with good mechanical properties. During the last two decades the AM was firstly used to produce polymers' products and after metals' products; this evolution made possible the breakthrough in the traditional industrial sectors such as the aerospace, the mechanical, and other related sectors. Nevertheless, the introduction of this technology in this context put on the table of the researchers and practitioners some questions about the management of this technology in a more complex context, characterized by the integration with other machines. Aim of this chapter is to present a literature review of the principal facets of the AM related to the field of operations management and trying to define a model to account the costs of production and to schedule the machine activity.

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Sensitivity analysis of geometric errors in additive manufacturing medical models

Cited by 56 publications

References 28 publications

Geometric accuracy of an acrylonitrile butadiene styrene canine tibia model fabricated using fused deposition modelling and the effects of hydrogen peroxide gas plasma sterilisation

Geometric accuracy of an acrylonitrile butadiene styrene canine tibia model fabricated using fused deposition modelling and the effects of hydrogen peroxide gas plasma sterilisation

Reporting fidelity in the literature for computer aided design and additive manufacture of implants and guides

Production Management Fundamentals for Additive Manufacturing

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