Customized dimensional analysis conceptual modelling framework for design optimization—a case study on the cross-flow micro turbine model. Issue 7 (3rd July 2019)

• Record Type: Journal Article
• Authors: Woldemariam, Endashaw Tesfaye; Coatanéa, Eric; Wang, G. Gary; Lemu, Hirpa G.; Wu, Di
• Is Part Of: Engineering optimization. Volume 51:Issue 7(2019)
• Page Start: 1168
• Page End: 1184
• Publication Date: 2019-07-03
• Subjects: Causality analysis -- conceptual modelling -- DACM assisted optimization -- high-dimensional optimization -- micro cross-flow turbine; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1519556
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Dimensional Analysis Conceptual Modelling (DACM) is a framework used for conceptual modelling and simulation in system and product designs. The framework is based on cause–effect analysis between variables and functions in a problem. This article presents an approach that mobilizes concepts from the DACM framework to assist solve high-dimensional expensive optimization problems with lower computational costs. The latter fundamentally utilizes theories and concepts from well-practised dimensional analysis, functional modelling and bond graphing. Statistical design-of-experiments theory is also utilized in the framework to measure impact levels of variables towards the objective. Simplifying as well as decomposing followed by optimization of expensive problems are the focuses of the article. To illustrate the approach, a case study on the performance optimization of a cross-flow micro hydro turbine is presented. The customized DACM framework assisted optimization approach converges faster and returns better results than the one without. A single-step simplification approach is employed in the case study and it returns a better average optimization result with about only one fifth of the function evaluations compared to optimization using the original model.