Digital twin driven conceptual design

Yuchen Wang, Ang Liu, Fei Tao, A. Y.C. Nee

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)


In comparison to conventional conceptual design, capability of big data analysis, machine learning ability, and physical–virtual simulations, the digital twin (DT) assists designers to obtain earlier stage feedbacks, more reliable concept generations and evaluations. This chapter will envision the evolution of conceptual design supported by DT technology. Conceptual design methodologies are introduced first, including axiomatic design, systematic design, and function–behavior–structure ontology. Mainly based on the axiomatic design theory, the chapter clarifies how DT technology assists the functional modeling, concept generation, and concept evaluation. In addition, contradiction resolution and constraints management are also part of the discussion. The DT-driven conceptual design is illustrated with a robot vacuum cleaner as an example in each procedure.

Original languageEnglish
Title of host publicationDigital Twin Driven Smart Design
Number of pages34
ISBN (Electronic)9780128189184
ISBN (Print)9780128189191
Publication statusPublished - 1 Jan 2020
Externally publishedYes


  • concept generation
  • conceptual design
  • design evaluation
  • Digital twin


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