Digital twin driven conceptual design

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.