Additive Manufacturing Evaluation Tool for Design Studies

Garzaniti, Nicola; Golkar, Alessandro; Maggiore, Paolo

doi:10.1109/jsyst.2019.2939906

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…and with variable levels of overall machine performance and efficiency, the recurrent and non-recurrent costs of production must be investigated scrupulously [7]. Management literature suggests numerous methods to account for and assign production costs.…”

Section: Msec2020-8308mentioning

confidence: 99%

Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

Shakirov

Gee

Quinlan

et al. 2020

Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability

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Additive Manufacturing (AM) — one of several core digital technologies in “Industry 4.0” — is increasingly being deployed in industrial-scale contexts. The successful serial production of end-use polymer and metal components has demonstrated the possibility of AM as a primary production process in several applications. However, one of the principal challenges to greater adoption is a lack of organizational mastery over AM’s implementation in production contexts, and, more specifically, the absence of clear decision-making tools to facilitate exploration of implementation scenarios. To this end, this work proposes the use of a discrete-event simulation-based software modelling tool to investigate the influences of different facility-level planning decisions on techno-economic characteristics of serial production by AM. By changing key parameters, this tool enables users to observe variation in part cost, identify the contributions of individual system elements to part cost, and assess overall system throughput. The tool enables users to identify locally optimal solutions and make corresponding planning decisions, and to explore limiting cases of cost and lead time. In conclusion, we identify the limitations in the current modeling approach, and propose additional directions for future study.

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Section: Msec2020-8308mentioning

confidence: 99%

Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

Shakirov

Gee

Quinlan

et al. 2020

Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability

View full text Add to dashboard Cite

show abstract

“…The main advantage of the AM process concerns the overcome of design limitations associated with common manufacturing processes, such as the impossibility to machine internal volume of the closed body or the inability to create complex structure from a single piece (Gillespie, 2017). AM is being explored in several fields (e.g., biomedical (Bose et al, 2013;Wang et al, 2016); space (Garzaniti et al, 2019), etc.) and interesting reviews regarding AM technologies and their application have been proposed by Ngo et al, 2018 andGao et al, 2015. To capture the opportunities given by AM technologies, it is necessary to consider their impact from the beginning of the product development process.…”

Section: Introductionmentioning

confidence: 99%

A Framework to Collect and Reuse Engineering Knowledge in the Context of Design for Additive Manufacturing

et al. 2022

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Design for AM (DfAM) requires the definition of Design Actions (DAs) to optimize AM manufacturing processes. However, AM understanding is still very blurred. Often designers are challenged by selecting the right design parameters. A method to list and collect DfAM DAs is currently missing. The paper aims at providing a framework to collect DfAM DAs according to a developed ontology to create databases (DBs). DBs were tested with two real case studies and geometric features to improve identified. Future developments aim at widening the database to provide all-around support for AM processes.

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Review of technology trends in new space missions using a patent analytics approach

Garzaniti

Tekić

Kukolj

et al. 2021

Progress in Aerospace Sciences

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Additive Manufacturing Evaluation Tool for Design Studies

Cited by 6 publications

References 25 publications

Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning

A Framework to Collect and Reuse Engineering Knowledge in the Context of Design for Additive Manufacturing

Review of technology trends in new space missions using a patent analytics approach

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