Proposed framework for flexible de- and remanufacturing systems using cyber-physical systems, additive manufacturing, and digital twins

Assuad, Carla Susana A.; Leirmo, Torbjørn Langedahl; Martinsen, Kristian

doi:10.1016/j.procir.2022.09.076

Cited by 11 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A doctoral-level course (VB8005-DT for sustainable manufacturing) was designed and offered [104] at the Department of Manufacturing and Civil Engineering in the NTNU, Norway, to allow students to gain comprehensive knowledge and applications of DT systems in manufacturing. The course intended to teach relevant content like predictive maintenance, enabling technologies to implement industry standard cyber-physical systems, digital communication, and IoT in sustainable manufacturing principles, along with data analysis and insight development.…”

Section: University-level Taught Courses On Dt Technologiesmentioning

confidence: 99%

Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education

Hazrat,

Hassan,

Chowdhury

et al. 2023

Sustainability

View full text Add to dashboard Cite

Engineering education providers should foresee the potential of digital transformation of teaching and skill-developing activities so that graduating engineers can find themselves highly aligned with the demands and attributes needed by prospective industrial employers. The advancement of industrial revolutions towards hybridisation of the enabling technologies recognised by Industry 4.0, Society 5.0, and Industry 5.0 have transformed the components of the engineering higher education system remarkably. Future workforce requirements will demand an employee’s multidisciplinary skill mix and other professional qualities. Implementing human-centric decision-making based on insights from the Digital Twin (DT) systems, sustainability, and lean systems is necessary for further economic growth. Recent barriers identified by the Australian Council of Engineering Deans, the development of teaching capabilities, and affordable and digitally transformed learning facilities by education providers were all considered. This paper explores the role of Digital Twins (DTs) in enhancing engineering higher education by incorporating Industry 4.0 components and other industrial advances. By reviewing curricula, pedagogy, and the evolving skill requirements for engineering graduates, this study identifies key benefits of DTs, such as cost-effectiveness, resource management, and immersive learning experiences. This paper also outlines challenges in implementing DT-based labs, including IT infrastructure, data quality, privacy, and security issues. The findings indicate that engineering education should embrace DTs to foster multidisciplinary skills and human-centric decision-making to meet future workforce demands. Collaboration with industry is highlighted as a crucial factor in the successful transformation of teaching practices and in offering real-world experiences. The COVID-19 pandemic has expedited the adoption of DT technologies, demonstrating their utility in minimising educational disruptions. While this paper acknowledges the high potential of DTs to prepare engineering students for future industry demands, it also emphasises the need for professional development among educators to ensure effective and balanced implementation.

show abstract

Section: University-level Taught Courses On Dt Technologiesmentioning

confidence: 99%

Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education

Hazrat,

Hassan,

Chowdhury

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…It covers various aspects, including modelling, simulation, optimization, and case studies. The paper highlights the potential of digital twins in improving product quality, reducing costs, and enhancing decision-making [24]. Ruane et al discussed the integration of CAD/CAM systems with digital twin models and the use of simulation for process optimization.…”

Section: Literature Surveymentioning

confidence: 99%

Digital Twin Modeling and Simulation of Computer Aided Design and Manufacturing Structure: Case Study

2023

dmpm

View full text Add to dashboard Cite

This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on its potential to enhance the design and manufacturing structure. The paper begins by introducing the concept of digital twins and their role in bridging the gap between physical and virtual worlds. It emphasizes the benefits of real-time data synchronization and it enables continuous monitoring, analysis, and decision-making throughout the product lifecycle in detail. Next, the focus shifts to the integration of digital twin modelling into the CAD/CAM processes. The paper outlines the steps involved in creating a digital twin of the design and manufacturing structure, from data acquisition and integration to model calibration and validation. Special attention is given to ensuring the accuracy and fidelity of the digital twin to enable reliable simulation results. The paper then explores the various simulation capabilities offered by the digital twin model. It delves into the use of finite element analysis (FEA), computational fluid dynamics (CFD), and other simulation techniques to analyse product performance, optimize manufacturing processes, and assess structural integrity. Case studies demonstrate the application of digital twin simulations in improving design efficiency, reducing time-to-market, and enhancing overall product quality.

show abstract

“…Digital twins contain a wide variety of patient data in the context of patient health monitoring, including treatment processes, dietary habits, and real-time sensor data from wearable devices and Internet of Things (IoT) sensors. These virtual representations are dynamic and constantly updated with fresh data, representing specific patients' real-time health conditions [2]. Digital twins give healthcare practitioners with a complete and granular perspective of their patient's health, allowing them to monitor not just individual data points, but also the intricate relationships and dependencies between various health indices [3].…”

Section: Introductionmentioning

confidence: 99%

A Framework of Digital Twins for Improving Respiratory Health and Healthcare Measures

Nancy,

Venkatesan,

Sundar

et al. 2024

SCPE

View full text Add to dashboard Cite

The investigation describes an inventive use of digital twin technology and LSTM-based machine learning models for real-time patient lung disease monitoring and nutrition planning. The suggested application uses various patient healthcare data, treatment processes, dietary habits, and real-time sensor information to construct digital twins, which are virtual reproductions of specific patients. The LSTM model is trained on this large dataset to predict patient health improvements and dietary needs. For each patient’s digital twin, the program provides personalized treatment plans and nutritional advice, enabling proactive interventions and optimizing patient care. Using performance measures, the trained LSTM model achieves high scores for accuracy (92%), precision (89%), recall (93%), and F1 score (91%), proving its usefulness in generating credible health predictions. Patient feedback on the program shows that patients (98.8%) agree on the accuracy and importance of health feedback, as well as the convenience of access to health information (95.4%). The application’s response rate study reveals an average response rate of 85.87%, assuring prompt feedback. To secure patient information, the study emphasizes data privacy and security, adopting multilayered authentication and data encryption. The outcomes of this study demonstrate the application’s potential to revolutionize patient-centered healthcare by providing data-driven, personalized solutions to patients and healthcare professionals.

show abstract

Proposed framework for flexible de- and remanufacturing systems using cyber-physical systems, additive manufacturing, and digital twins

Cited by 11 publications

References 17 publications

Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education

Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education

Digital Twin Modeling and Simulation of Computer Aided Design and Manufacturing Structure: Case Study

A Framework of Digital Twins for Improving Respiratory Health and Healthcare Measures

Contact Info

Product

Resources

About