Physics-Based Digital Twins Leveraging Competitive Edge in Novel Markets
Publiceringsår
2024
Upphovspersoner
Kurvinen, Emil; Kutvonen, Antero; Aaltonen, Päivi; Salakka, Jussi; Ghalamchi, Behnam
Abstrakt
Digital twins (DTs) enable agile and effective changes in product and process development. Physics-based, mature DTs represent the complex human build systems with high accuracy. By accounting for the physical and behavioral limitations, the system can be studied with a holistic approach also by non-simulation expert stakeholders. In particular, the real-time capability physical digital twin can accurately study the machines operated by humans and better integrate human actions into machines. For high-technology products, the utilization of physics-based DTs enables us to explore the design options and their influence on the overall performance, for example, the dynamic behavior of the machine. These design iterations done in the virtual world enable more radical innovations and their implementation as the process inertia of having to manufacture physical prototypes can be reduced or even omitted during the product development phase. While the focus has lied heavily on the product and its performance, i.e., augmentation, more and more developed technologies enable the quantification of business scenarios and the development of organizational structures to support the product autonomously, and as such improve managerial decision-making and leverage innovation capabilities. Thus, the competitive edge of products can be enhanced while customer needs are fulfilled better with physics-based DTs.
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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Samlingsverk
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Inte kollegialt utvärderadUKM:s publikationstyp
B2 Del av bok eller annat samlingsverkPublikationskanalens uppgifter
Moderpublikationens namn
Moderpublikationens redaktörer
Lyu, Zhihan
Förläggare
CRC press
Sidor
185-199
ISBN
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Nej
Öppen tillgång till publikationskanalen
Delvis öppen publikationskanal
Parallellsparad
Ja
Parallellagringens licens
CC BY NC ND
Övriga uppgifter
Vetenskapsområden
Statistik; El-, automations- och telekommunikationsteknik, elektronik; Maskin- och produktionsteknik
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Nej
DOI
10.1201/9781003425724-14
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja