Post-Processing

Gibson, Ian; Rosen, David W.; Stucker, Brent; Khorasani, Mahyar

doi:10.1007/978-3-030-56127-7_16

Cited by 5 publications

(8 citation statements)

References 21 publications

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“…In fact, our findings also support the claim that improvement in support material removal, surface finishing and cleaning would effectively enhance the assembly speed, which in turn would make post-processing activities more efficient (Chohan and Singh, 2017; Hardiman, 2019; Gibson et al , 2021a). Additionally, these cause-barriers (B1, B2, B3, B4 and B5) were found to influence the net receivers, providing real-time visibility to all the concerned post-processing for 3DPMM, which can help post-processing to overcome the problems (Gibson et al , 2021a).…”

Section: Resultssupporting

confidence: 84%

“…2.4 Post-processing barriers for 3D-printed medical model Importantly, post-processing significantly slows down 3DPMM delivery (Chohan and Singh, 2017;Gibson et al, 2021a). More research is needed to analyze and find an alternative solution for fast production (Shen et al, 2020;Mishra et al, 2021).…”

Section: Post-processing Techniquesmentioning

confidence: 99%

“…Most of the 3D printing industries have manual post-processing processes that cause delays in final dispatch and affect operational efficiency (Gibson et al , 2021a). Post-processing consists of activities that follow once the 3DPMM has been produced by the 3D printer.…”

Section: Introductionmentioning

confidence: 99%

“…Mazlan et al (2018) discussed the post-processing of FDM-printed parts by using a blow-cold vapour treatment process for ABS materials to improve the surface finishing of printed parts. Gibson et al (2021a) discussed post-processing in a book chapter to improve surface quality, surface texture, dimensional deviations, mechanical properties, etc. Kuczko et al (2017) studied the accuracy of post-processing prototype testing on FDM-printed models to compare 3D-printed parts before and after treatment by 3D scanning methods.…”

Section: Introductionmentioning

confidence: 99%

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Overcoming the post-processing barriers for 3D-printed medical models

Verma

Kamble

Ganapathy

et al. 2022

RPJ

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Purpose The purpose of this study is to identify, analyse and model the post-processing barriers of 3D-printed medical models (3DPMM) printed by fused deposition modelling to overcome these barriers for improved operational efficiency in the Indian context. Design/methodology/approach The methodology used interpretive structural modelling (ISM), cross-impact matrix multiplication applied to classification (MICMAC) analysis and decision-making trial and evaluation laboratory (DEMATEL) to understand the hierarchical and contextual relations among the barriers of the post-processing. Findings A total of 11 post-processing barriers were identified in this study using ISM, literature review and experts’ input. The MICMAC analysis identified support material removal, surface finishing, cleaning, inspection and issues with quality consistency as significant driving barriers for post-processing. MICMAC also identified linkage barriers as well as dependent barriers. The ISM digraph model was developed using a final reachability matrix, which would help practitioners specifically tackle post-processing barriers. Further, the DEMATEL method allows practitioners to emphasize the causal effects of post-processing barriers and guides them in overcoming these barriers. Research limitations/implications There may have been a few post-processing barriers that were overlooked by the Indian experts, which might have been important for other country’s perspective. Practical implications The presented ISM model and DEMATEL provide directions for operation managers in planning operational strategies for overcoming post-processing issues in the medical 3D-printing industry. Also, managers may formulate operational strategies based on the driving and dependence power of post-processing barriers as well as the causal effects relationships of the barriers. Originality/value This study contributes to identifying, analyzing and modelling the post-processing barriers of 3DPMM through a combined ISM and DEMATEL methodology, which has not yet been reviewed. This study also contributes to decision makers developing suitable strategies to overcome the post-processing barriers for improved operational efficiency.

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Section: Resultssupporting

confidence: 84%

Section: Post-processing Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Overcoming the post-processing barriers for 3D-printed medical models

Verma

Kamble

Ganapathy

et al. 2022

RPJ

View full text Add to dashboard Cite

show abstract

“…Meanwhile, the pre-processing parameters optimization should be conducted intermittently to achieve appropriate process parameters due to the change of geometry and expected mechanical properties of the model. Therefore, considering these disadvantages, post-processing techniques are more preferred as a method to provide superior surface integrity (Gibson et al , 2021b).…”

Section: Introductionmentioning

confidence: 99%