Multi-criteria optimization of an aircraft propeller considering manufacturing

Abstract

Carbon-fiber-reinforced polymers are gaining ground; high mass-specific stiffness and strength properties in fiber direction are commonly identified as reasons. Nonetheless, there are great challenges unleashing the entire light-weight potential. For instance, the multitude of parameters (e.g. fiber orientations), also being linked with each other and having huge influence on, not only structural mechanics, but also onto effort in terms of manufacturing. Moreover, these parameters ideally need to be determined, such that mass and costs are minimal, while all structural and technical requirements are fulfilled. The challenge of considering manufacturing aspects along with structural mechanics are mainly addressed in this paper. It is outlining an approach for modeling manufacturing effort via expert knowledge and how to actually consider this model in a multi-criteria optimization framework. In addition, it will be shown how to incorporate these knowledge-based models into an efficient structural design optimization. For this sake, a braided propeller structure is optimized.

Aeroelastic Wing Planform Design Optimization of a Flutter UAV Demonstrator

“…For the optimization task the idea, as presented in Pereyra [18] or Schatz [19], to solve the Pareto frontier by equidistant points, is resumed. Both solve the bi-objective problem by scalarizing the two design goals f 1 (x) and f 2 (x) to a single objective optimization problem.…”

Enabling Composite Optimization through Soft Computing of Manufacturing Restrictions and Costs via a Narrow Artificial Intelligence

“…The author laid some groundwork in this matter with [1]. The research work presented herein, is intended to extend this foundation, such that it can be used more effectively in the context of composite optimization.…”

“…As can be observed, these systems are hence not intended to dynamically learn, but instead a knowledge engineer transfers expertise into a rule based knowledge-base. More details on this are to be found in [1]. For further reading on current methods and emerging trends in soft computing, consult Hajela [16].…”

Optimal Design for the Passive Control of Vibration Based on Limit Cycles

“…(a) Modal analysis (e.g., [7][8][9]) (b) Frequency response and transfer functions (e.g., [10]) (c) Inverse eigenvalue problems (e.g., [11][12][13])…”

“…Natural frequencies are typically treated in these cases as lower-bounded constraints (e.g. [7]) though a maximization of the lowest eigenfrequency may also be carried out (e.g., [9]). Formulations of constrained eigenfrequency problems can be found in [21], which have been further developed in [8,22].…”