|Title:||A preliminary study on the integration of engineering and aesthetics measures via the design of vehicle silhouettes||Authors:||Chan, K.-Y.
|Keywords:||Aesthetic measures; vehicle design; multidisciplinary optimization; analytical target cascading; multilevel systems||Issue Date:||2015||Publisher:||SAGE PUBLICATIONS LTD||Source:||Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science||Abstract:||
© Institution of Mechanical Engineers. The success of a consumer product is the result of not only engineering specifications but also emotional effects. Therefore, product design must be multidisciplinary as well as transdisciplinary across both natural and social science. In this work, we investigate the optimal design of vehicle silhouettes considering various aesthetic and engineering measures. The entire design problem is modeled as a bi-level structure with the top level being the aesthetic subproblem and the lower level consists of subproblems in the engineering discipline. This multi-level system provides a feasible approach in solving complex design problems; it also resembles the interactions of different departments in the auto industry. The aesthetic subproblem uses 11 proportionality measures and curvature to quantify a vehicle silhouette. The engineering discipline includes safety, handling, and aerodynamics of a vehicle with physical constraints on vehicle geometry. The design variables are the locations of 15 nodal points in describing the silhouette of a vehicle. The linking variables between subsystems are body and chassis dimensions that must be consistent for a design to be feasible. The optimal design of this hierarchical problem is obtained using the analytical target cascading from the literature. Results show that the original prohibitively expensive all-in-one problem becomes solvable if systems of smaller subproblems are created. Adding emotional measures in engineering design is invaluable and will reveal the true merits of a product from consumers' point of view. Although such metrics are generally opaque, this research demonstrates the impacts of these measures once they become available.
|Appears in Collections:||機械工程學系|
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