A performance-based design framework for enhancing decision-making at the conceptual phase of a motorcycle rear suspensi
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A performance‑based design framework for enhancing decision‑making at the conceptual phase of a motorcycle rear suspension development Sergio Corbera Caraballo1 · Roberto Alvarez Fernandez1 Received: 24 June 2019 / Revised: 18 November 2019 / Accepted: 18 November 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract The functional design of a motorcycle rear suspension has become a complex process which involves different engineering disciplines such as computer aided design, structural analysis or multibody simulations. As a consequence of this multidiciplinarity, its development process is surrounded by multiple inter-related aspects and uncertainties which can compromise the feasibility of the solutions and hence making it difficult to foresees a priori the most appropriated design directions. This paper proposes an integrated methodology that supports early stage design decisionmaking for motorcycle rear suspensions by providing a rapid generative mechanism of feasible solutions with performance feedback for multiple requirements. The proposed framework integrates an object-oriented representation of the rear suspension with an adaptative design space approach for enhancing the capability to generate a variety of feasible solutions. A generative system coupled with the NSGA-II algorithm is proposed as responsible for exploring and managing the optimal functional design. The workflow has been structured in such a way all the design actions are conducted automatically. A case study of a Premoto3 rear suspension design is included in order to illustrated the effectiveness of the presented framework. Keywords Functional design · Generative grammars · Evolutionary algorithms · Motorcycle design · Computational design synthesis
1 Introduction Motorcycles are complex systems composed by a set of interconnected bodies that must perfectly work together for achieving the desired performance. Its inherent complexity and multidisciplinarity lead to a diffuse design process characterised * Sergio Corbera Caraballo [email protected] 1
Universidad Nebrija, Madrid, Spain
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by the large number of uncertainties surrounding each decision. This issue has become in a key aspect that makes it difficult the ability of the design team to adequately explore diverse design alternatives and predict their impact on the functional response. The described context has lead to an iterative development structure where the design tasks and the technical requirements are updated in each iteration supported by the information generated in the previous steps, the expertise of the engineering team and the agreement among the departments involved (Stan 2008). Despite progresses achieved by the current design workflow, the pillars upholding it (iterative structure, expertise and ongoing communication) in many cases turn into as the main source of inefficiencies (Eckert et al. 1999). As happens with other fields in the industry (automotive, avia
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