Author(s)

Prashant K. Tarun¹, Herbert W. Corley²

¹Steven L. Craig School of Business, Missouri Western State University, St. Joseph, USA.
²Department of Industrial, Manufacturing, & Systems Engineering, University of Texas at Arlington, Arlington, USA.

A light and reliable aircraft has been the major goal of aircraft designers. It is imperative to design the aircraft wing skins as efficiently as possible since the wing skins comprise more than fifty percent of the structural weight of the aircraft wing. The aircraft wing skin consists of many different types of material and thickness configurations at various locations. Selecting a thickness for each location is perhaps the most significant design task. In this paper, we formulate discrete mathematical programming models to determine the optimal thicknesses for three different criteria: maximize reliability, minimize weight, and achieve a trade-off between maximizing reliability and minimizing weight. These three model formulations are generalized discrete resource-allocation problems, which lend themselves well to the dynamic programming approach. Consequently, we use the dynamic programming method to solve these model formulations. To illustrate our approach, an example is solved in which dynamic programming yields a minimum weight design as well as a trade-off curve for weight versus reliability for an aircraft wing with thirty locations (or panels) and fourteen thickness choices for each location.

Aircraft Wing Design, Maximum Reliability Design, Minimum Weight Design, Dynamic Programming, Multiple Objective Optimization, Pareto Optimality

Tarun, P. and Corley, H. (2022) A Dynamic Programming Approach to the Design of Composite Aircraft Wings. American Journal of Operations Research, 12, 194-207. doi: 10.4236/ajor.2022.125011.