Browsing by Author "Singh, Sumit"

Now showing 1 - 6 of 6
  • Thumbnail Image
    ItemOpen Access
    Challenges of digital twin in high value manufacturing
    (SAE International, 2018-10-30) Singh, Sumit; Shehab, Essam; Higgins, Nigel; Fowler, Kevin; Tomiyama, Tetsuo; Fowler, Chris
    Digital Twin (DT) is a dynamic digital representation of a real-world asset, process or system. Industry 4.0 has recognised DT as the game changer for manufacturing industries in their digital transformation journey. DT will play a significant role in improving consistency, seamless process development and the possibility of reuse in subsequent stages across the complete lifecycle of the product. As the concept of DT is novel, there are several challenges that exist related to its phase of development and implementation, especially in high value manufacturing sector. The paper presents a thematic analysis of current academic literature and industrial knowledge. Based on this, eleven key challenges of DT were identified and further discussed. This work is intended to provide an understanding of the current state of knowledge around DT and formulate the future research directions.
  • Thumbnail Image
    ItemOpen Access
    Data management for developing digital twin ontology model
    (Sage, 2020-12-09) Singh, Sumit; Shehab, Essam; Higgins, Nigel; Fowler, Kevin; Reynolds, Dylan; Erkoyuncu, John Ahmet; Gadd, Peter
    Digital Twin (DT) is the imitation of the real world product, process or system. Digital Twin is the ideal solution for data-driven optimisations in different phases of the product lifecycle. With the rapid growth in DT research, data management for digital twin is a challenging field for both industries and academia. The challenges for DT data management are analysed in this article are data variety, big data & data mining and DT dynamics. The current research proposes a novel concept of DT ontology model and methodology to address these data management challenges. The DT ontology model captures and models the conceptual knowledge of the DT domain. Using the proposed methodology, such domain knowledge is transformed into a minimum data model structure to map, query and manage databases for DT applications. The proposed research is further validated using a case study based on Condition-Based Monitoring (CBM) DT application. The query formulation around minimum data model structure further shows the effectiveness of the current approach by returning accurate results, along with maintaining semantics and conceptual relationships along DT lifecycle. The method not only provides flexibility to retain knowledge along DT lifecycle but also helps users and developers to design, maintain and query databases effectively for DT applications and systems of different scale and complexities
  • Thumbnail Image
    ItemOpen Access
    Data-centric framework for digital twin development of an aircraft system
    (Cranfield University, 2019-05-09 10:32) Singh, Sumit
    Poster presented at Cranfield University’s 2019 Manufacturing Doctoral Community event.
  • Thumbnail Image
    ItemOpen Access
    Digital twin-driven framework for EV batteries in automobile manufacturing
    (IOS Press, 2021-10-20) Valdez Parra, Rodrigo; Pothureddy, Gaurav; Sanitas, Tom; Krishnamoorthy, Vishnuvardan; Oluwafemi, Oluwatobi; Singh, Sumit; Fan, Ip-Shing; Shehab, Essam
    The successful operation of Electric-Vehicle Batteries (EVB) is paramount for the ever-continuing goal of approaching a low carbon emission future. The Lithium-ion battery (LIB) is currently the best wager to implement on Electric Vehicles (EV). Nonetheless, it comes with its fair trade of challenges. The complexity involved in the design, manufacturing and operating conditions for these batteries has made their control and monitoring paramount. Digital Twin (DT) is concretely defined as a virtual replica of a physical object, process or system. The DT can be implemented in conjunction with the EVB physical embodiment to analyse and enhance its performance. ERP is a system designed to control production and planning amongst others. This paper presents the state-of-the-art battery design, production with the combination of DT and Enterprise system. A five-dimensional DT framework has been proposed linking the physical data and virtual data with ERP. The proposed method was used to model the digital twin of EVB at the concept level and solve its challenges faced in the industry Also the potential application & benefits of the framework have been formalised with the help of a case study from Tesla EVBs.
  • Thumbnail Image
    ItemOpen Access
    Exploring the transition from preventive maintenance to predictive maintenance within ERP systems by utilising digital twins
    (IOS Press, 2021-10-20) Damant, Liam; Forsyth, Amy; Farcas, Ramona; Voigtländer, Melvin; Singh, Sumit; Fan, Ip-Shing; Shehab, Essam
    Over the years, there has been an advancement in how manufacturing companies conduct maintenance. They have begun transitioning from Preventive Maintenance (PM) to Predictive Maintenance (PdM). With the introduction of technologies such as Digital Twin (DT), Internet of Things (IoT), and Intelligent Manufacturing (IM), the world is rapidly changing, thus allowing companies to optimise existing processes, products and reduce costs. The existing literature offers limited investigations and best practices in the end-to-end optimisation for maintenance transformation. The current paper intends to explore (a) the transition from PM to PdM and (b) the utilisation of DTs and IM for maintenance optimisation. The paper articulates the scope and features of end-to-end maintenance optimisation for asset uptime and cost benefits. The findings can help industries understand the introductions and advancements of technologies for predictive maintenance and end-to-end optimisation with the benefit of investigating and illustrating how companies can move forward.
  • Thumbnail Image
    ItemOpen Access
    Towards information management framework for digital twin in aircraft manufacturing
    (Elsevier, 2021-02-10) Singh, Sumit; Shehab, Essam; Higgins, Nigel; Fowler, Kevin; Erkoyuncu, John Ahmet; Gadd, Peter
    Aircraft manufacturing industries often evolve in the ecosystem of complex designs and manufacturing processes associated with large volume of information generated along the lifecycle. Digital Twin (DT) technology has the potential of leveraging such information to provide useful insights benefiting the overall business in many ways. Information Management (IM) for DT is still an ongoing challenge for many industries, thus leaving a considerable research gap. In this paper, an IM framework for DT in the aircraft manufacturing sector is proposed. The key phases and elements of IM are discussed on which the framework is constructed. The potential application of the framework along aircraft lifecycle is further discussed. The framework not only provides an effective approach to managing information but also opens new research prospects in DT domain.