A review on the role of 3D printing in the fight against COVID-19: safety and challenges

Singh, Sapam Ningthemba; Venkatesh, V. S. S.; Deoghare, Ashish B.

doi:10.1108/rpj-08-2020-0198

Cited by 15 publications

(7 citation statements)

References 59 publications

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“…The vast choice of fixed, near-field and mobile communications technologies available provide for data rates in the bit/s to Mbit/s as inferred for modern vehicles that are rapidly mutating to self-contained mobile clouds serving hundreds of sensors and actuators (Kanagachidambaresan et al , 2020; Qin et al , 2021; Renteria et al , 2021). In this situation, paralleled by home and office appliances along with many industrial plants and service industries, almost nothing connects directly to the internet via fixed-line or mobile connection as all information is aggregated and analysed locally prior to network connection when required (Lasi et al , 2014; Singh et al , 2021).…”

Section: Industry 40mentioning

confidence: 99%

A review of Industry 4.0 and additive manufacturing synergy

Khorasani¹,

Loy

Ghasemi

et al. 2022

RPJ

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Purpose This paper reviews the synergy of Industry 4.0 and additive manufacturing (AM) and discusses the integration of data-driven manufacturing systems and product service systems as a key component of the Industry 4.0 revolution. This paper aims to highlight the potential effects of Industry 4.0 on AM via tools such as digitalisation, data transfer, tagging technology, information in Industry 4.0 and intelligent features. Design/methodology/approach In successive phases of industrialisation, there has been a rise in the use of, and dependence on, data in manufacturing. In this review of Industry 4.0 and AM, the five pillars of success that could see the Internet of Things (IoT), artificial intelligence, robotics and materials science enabling new levels of interactivity and interdependence between suppliers, producers and users are discussed. The unique effects of AM capabilities, in particular mass customisation and light-weighting, combined with the integration of data and IoT in Industry 4.0, are studied for their potential to support higher efficiencies, greater utility and more ecologically friendly production. This research also illustrates how the digitalisation of manufacturing for Industry 4.0, through the use of IoT and AM, enables new business models and production practices. Findings The discussion illustrates the potential of combining IoT and AM to provide an escape from the constraints and limitations of conventional mass production whilst achieving economic and ecological savings. It should also be noted that this extends to the agile design and fabrication of increasingly complex parts enabled by simulations of complex production processes and operating systems. This paper also discusses the relationship between Industry 4.0 and AM with respect to improving the quality and robustness of product outcomes, based on real-time data/feedback. Originality/value This research shows how a combined approach to research into IoT and AM can create a step change in practice that alters the production and supply paradigm, potentially reducing the ecological impact of industrial systems and product life cycle. This paper demonstrates how the integration of Industry 4.0 and AM could reshape the future of manufacturing and discusses the challenges involved.

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Section: Industry 40mentioning

confidence: 99%

A review of Industry 4.0 and additive manufacturing synergy

Khorasani¹,

Loy

Ghasemi

et al. 2022

RPJ

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“…However, some authors are still reticent to recommend this technology for ventilator manufacturing given the safety concerns (Aydin et al, 2021;S. Singh et al, 2020;S. N. Singh et al, 2021).…”

Section: Materials Strategiesmentioning

confidence: 99%

Mejorando la sostenibilidad de los respiradores de emergencia para el Covid-19: un caso de estudio sobre OxyGEN-IP

Armillas-Mateos¹

2021

P56-IDJ

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Sustainable medical device design in the context of a health emergency is an unexplored area of research. The urgency to save lives implies that eco-design strategies may not be considered. However, some of these strategies could lead to cost and manufacturing time reduction, implying that more units could be produced, and more patients reached. This paper aims to provide feasible eco-design strategies that could be shared with the stakeholders involved in the product design and manufacturing of emergency ventilators for Covid-19. The objective is to help tackle the Covid-19 crisis in a more sustainable way, and increase the access to healthcare of people requiring assisted ventilation during the health emergency.Adopting a Whole Systems Design perspective (Blizzard & Klotz, 2012), this research has applied the Holistic Design Framework (Aranda-Jan et al., 2016) and the Eco-design Strategy Wheel (Brezet & Hemel, 1997) to elaborate preliminary strategies aligned with the emergency design objectives. Different design for sustainability tools, approaches and principles have been used to discuss, analyse and provide a final set of recommended strategies. These can be grouped in four categories: design for assembly, extension of product lifetime, usage of materials, and lean manufacturing. Despite further efforts are needed to overcome implementation challenges identified during the definition of strategies, it is expected that the above recommendations can be put in practice in a short-term to bring benefits in terms of better environmental impact, lower costs and total manufacturing time.

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“…Supply chain disruptions during the coronavirus 2019 (COVID-19) pandemic (Veselovská, 2020; Chowdhury et al ., 2021; Nikolopoulos et al ., 2021; LaBelle and Santacreu, 2022) galvanized an interest in distributed additive manufacturing (AM) (Pearce, 2020; Salmi et al ., 2020; Longhitano et al ., 2021; Singh et al ., 2021). This spurred the global market for AM and AM materials starting at US$15.4bn in 2020 to be projected to reach a revised size of US$61.1bn by 2027 (R&A, 2021).…”

Section: Introductionmentioning

confidence: 99%

Open-source 3-D printing materials database generator

Choppara

Garmulewicz

Pearce

2023

JMTM

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PurposeThis study aims to apply an open-source approach to protect the 3D printing industry from innovation stagnation due to broad patenting of obvious materials.Design/methodology/approachTo do this, first an open-source implementation of the first five conditions of an open-source algorithm developed to identify all obvious 3-D printing materials was implemented in Python, and the compound combinations of two and three constituents were tested on ten natural and synthetic compounds. The time complexity for combinations composed of two constituents and three constituents is determined to be O(n2) and O(n3), respectively.FindingsGenerating all combinations of materials available on the Chemical Abstracts Services (CAS) registry on the fastest processor on the market will require at least 73.9 h for the latter, but as the number of constituents increases the time needed becomes prohibitive (e.g. 3 constituents is 1.65 million years). To demonstrate how machine learning (ML) could help prioritize both theoretical as well as experimental efforts a three-part biomaterial consisting of water, agar and glycerin was used as a case study. A decision tree model is trained with the experimental data and is used to fill in missing physical properties, including Young's modulus and yield strength, with 84.9 and 85.1% accuracy, respectively.Originality/valueThe results are promising for an open-source system that can theoretically generate all possible combinations of materials for 3-D printing that can then be used to identify suitable printing material for specific business cases based on desired material properties.

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A review on the role of 3D printing in the fight against COVID-19: safety and challenges

Cited by 15 publications

References 59 publications

A review of Industry 4.0 and additive manufacturing synergy

A review of Industry 4.0 and additive manufacturing synergy

Mejorando la sostenibilidad de los respiradores de emergencia para el Covid-19: un caso de estudio sobre OxyGEN-IP

Open-source 3-D printing materials database generator

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