Integrating Additive Manufacturing into a Virtual Industry 4.0 Factory

Azarian, Mohammad; Yu, Hao; Solvang, Wei Deng

doi:10.1007/978-981-33-6318-2_73

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…4IR, or Industry 4.0 (as it is also known), is characterized by the convergence of digital, physical, and biomedical technologies, transforming various industries and aspects of society [14]. Its key features include the widespread use of the Internet, popularly called the Internet of Things (IoT), connecting mobile devices for seamless communication and data exchange, and the integration of sensors and intelligent devices into various objects and machines to collect, share, and analyze data to enable automation, pattern recognition, and prediction capabilities [15][16][17]. Other characteristics of 4IR include advanced robotics and automation technologies that transform industries by enhancing productivity and efficiency, 3D printing technology that enables the creation of complex and customized objects, and augmented reality (AR) and virtual reality (VR) that provide immersive and interactive experiences [7,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Kobara,

Akpan

2023

Systems

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Virtual manufacturing (VM) technology emerged in the 1980s as a revolutionary strategy to optimize and streamline the entire product/service manufacturing lifecycle. However, over the years, its popularity appears to have waned. Further, the advent of the fourth industrial revolution (4IR) or Industry 4.0 brings with it other integrated digital technologies, including the Internet of Things (IoT), Blockchain, and digital twin (DT), among others. DT offers functions like VM plus other benefits, including intelligent manufacturing, to revolutionize future manufacturing operations activities and predictive capability using real-time data. This paper employs bibliographic metadata from publications indexed on SCOPUS to evaluate the recent trends in VM research and develop predictive models to forecast VM’s future trajectory and relevance in 4IR. The results of the bibliometric evaluation of VM-related scientific literature publications show a rapidly declining research productivity and highlight an exponential decline from the mid-2000s. This period of VM publication decline coincides with the advent of 4IR and DT technology, which are trending. The results of the predictive analytics using the quadratic regression model created in this study to forecast the future relevance of VM in the 4IR era suggest that VM publications show a similar conclusion. VM research output increased until 2009 and then started decreasing exponentially. The quadratic model implies an exponential decrease in yearly VM publications. Future works can evaluate DT and VM research trends from the last two decades.

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Section: Introductionmentioning

confidence: 99%

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Kobara,

Akpan

2023

Systems

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“…Unquestionably, DED-arc has emerged to be the major enabling manufacturing technology towards the fourth industrial revolution, and its smart manufacturing opportunities have attracted the interest of both the manufacturing industry and the academic world (Cunningham et al, 2018;Chaturvedi et al, 2021;Liu et al, 2021;Treutler and Wesling, 2021). As mentioned above, the focus of research has shifted from process fundamentals towards the context of Industry 4.0/5.0 and smart manufacturing implementation possibilities on DED-arc (Bueno et al, 2020;Butt, 2020;Dev et al, 2020;Azarian et al, 2021;Feldhausen et al, 2022;Li et al, 2022;He et al, 2023;Kunchala et al, 2023). DED-arc enables the possibility of smart manufacturing, which can be simply defined as Internet-connected process machinery that allows monitoring and control during processing (Bueno et al, 2020;Butt, 2020;Dev et al, 2020;Azarian et al, 2021;Feldhausen et al, 2022;Li et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned above, the focus of research has shifted from process fundamentals towards the context of Industry 4.0/5.0 and smart manufacturing implementation possibilities on DED-arc (Bueno et al, 2020;Butt, 2020;Dev et al, 2020;Azarian et al, 2021;Feldhausen et al, 2022;Li et al, 2022;He et al, 2023;Kunchala et al, 2023). DED-arc enables the possibility of smart manufacturing, which can be simply defined as Internet-connected process machinery that allows monitoring and control during processing (Bueno et al, 2020;Butt, 2020;Dev et al, 2020;Azarian et al, 2021;Feldhausen et al, 2022;Li et al, 2022). Smart manufacturing can help to reduce the environmental impact of DED-arc, as it can improve production efficiency, material consumption and energy consumption (Hosseini et al, 2021;Wang et al, 2022;Shah et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Extended reality implementation possibilities in direct energy deposition-arc

Lund,

Penttilä,

Skriko

2024

Front. Sustain.

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The state-of-the-art cleaner smart manufacturing process in the metal industry is the direct energy deposition-arc (DED-arc) process, which has emerged as an energy-efficient method for producing complex geometry metallic constructions. Process flexibility, material-consumption efficiency and high performance have drawn attention amongst both academics and industry, as DED-arc presents an ecologically viable alternative to traditional manufacturing techniques. Concurrently, the parallel emergence of extended reality (XR) technology has unveiled multiple novel possibilities for enhancing the sustainable development of DED-arc processing toward cleaner manufacturing. However, an evident knowledge gap exists concerning the integration of XR into the DED-arc process chain. This research aims to solve this problem by systematically exploring the potential of implementing XR technology within the DED-arc framework. Therefore, this study identifies through a literature review the technological difficulties and prospects associated with merging XR and DED-arc. Subsequently, a series of practical experiments are executed, presenting various applications of XR within the DED-arc process chain. The current research makes several noteworthy contributions to the practical understanding of how XR can be integrated into the DED-arc manufacturing process. Technological challenges are discussed, while the potential benefits of XR adoption in the DED-arc process chain are illuminated in practical applications.

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“…However, on the other hand, it may proportionally increase the sophistication of production management. To this aim, virtual technologies and simulation can be used to evaluate the operational aspects and performance of incorporating AM into a manufacturing plant [30], which can provide comprehensive insights into the technological updates. Thus, the technological integration in a CPS has been categorized into five levels to measure the maturity of an Industry 4.0 system, namely connection level, conversation level, cyber level, cognition level, and configuration level.…”

Section: Introductionmentioning

confidence: 99%

Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?

2022

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Given the importance of human centricity, resilience, and sustainability, the emerging concept of Industry 5.0 has pushed forward the research frontier of the technology-focused Industry 4.0 to a smart and harmonious socio-economic transition driven by both humans and technologies, where the role of the human in the technological transformation is predominantly focused on. Several studies discuss the impacts of disruptive technologies on smart logistics operations in Industry 4.0. However, since Industry 5.0 is a new concept and still in its infancy, its implications for smart logistics have not been discussed. To fill this gap, this paper presents a comparative bibliometric analysis to show the connection and differences between Industry 4.0 and Industry 5.0 and their implications for smart logistics. A thorough content analysis is then given to illustrate the features of smart logistics in Industry 5.0 concerning four areas, namely intelligent automation, intelligent devices, intelligent systems, and intelligent materials. The results show that, compared with Industry 4.0, the research of smart logistics in Industry 5.0 puts more focus on the interaction between humans and technology in the digital transition, with the increasing adoption of collaborative technologies, e.g., human–machine systems, collaborative robots, and human–robot collaboration. Finally, a research agenda is proposed for identifying future research directions of smart logistics in Industry 5.0.

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Integrating Additive Manufacturing into a Virtual Industry 4.0 Factory

Cited by 10 publications

References 18 publications

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Extended reality implementation possibilities in direct energy deposition-arc

Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?

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