A.K. Saurav , L. Bhola , P.M. Mujumdar , P.J. Guruprasad
{"title":"Optimization of shape memory polymer composite based corrugated morphing wing flap structure","authors":"A.K. Saurav , L. Bhola , P.M. Mujumdar , P.J. Guruprasad","doi":"10.1016/j.ast.2025.110201","DOIUrl":null,"url":null,"abstract":"<div><div>This work presents a multi-objective optimization framework based on a genetic algorithm (GA) for aircraft morphing wing trailing sections made of shape memory polymer composites (SMPCs) based varying height corrugated structure. A morphing wing trailing section is attached to the main wing without any external discontinuity. It offers smooth operation of the aft section repeatedly over the entirety of the flight envelope. The primary variables for the optimization method considered in this work are SMPC ply orientations, number of plies, and number of corrugation elements. The constraint imposed on the structure is the deflection of the trailing section under maximum air pressure load. These variables affect shape memory behavior, structural integrity, and weight of the morphing wing trailing section, and they, in return, provide constraints on the SMPC-based corrugated structure. An equivalent plate formulation has been used to obtain effective corrugation properties of variable amplitude corrugated structure. Optimization work has been carried out on two different NACA 6 series airfoils to draw comparisons and ascertain the effectiveness of the framework.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"162 ","pages":"Article 110201"},"PeriodicalIF":5.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S127096382500272X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a multi-objective optimization framework based on a genetic algorithm (GA) for aircraft morphing wing trailing sections made of shape memory polymer composites (SMPCs) based varying height corrugated structure. A morphing wing trailing section is attached to the main wing without any external discontinuity. It offers smooth operation of the aft section repeatedly over the entirety of the flight envelope. The primary variables for the optimization method considered in this work are SMPC ply orientations, number of plies, and number of corrugation elements. The constraint imposed on the structure is the deflection of the trailing section under maximum air pressure load. These variables affect shape memory behavior, structural integrity, and weight of the morphing wing trailing section, and they, in return, provide constraints on the SMPC-based corrugated structure. An equivalent plate formulation has been used to obtain effective corrugation properties of variable amplitude corrugated structure. Optimization work has been carried out on two different NACA 6 series airfoils to draw comparisons and ascertain the effectiveness of the framework.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
• Energetics and propulsion
• Materials and structures
• Flight mechanics
• Navigation, guidance and control
• Acoustics
• Optics
• Electromagnetism and radar
• Signal and image processing
• Information processing
• Data fusion
• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.