Weight minimization of composite laminated plates with multiple constraints
Source abstract
Abstract
A multi-constraint optimization methodology for the design of composite laminated plates manufactured by Resin Transfer Molding (RTM) process is presented. As design constraints, both the manufacturing process requirement and the structural requirement were considered. The stacking sequence of layers and the thickness of the structure were optimized for a preassigned geometry of the structure, constituent materials and loading condition. As a structural requirement, either the stiffness constraint or strength constraint was selected. Such constraint was used as basis in the enhancement for the specific mechanical performance of composite structures. Maximum allowable mold filling time was assigned as a process requirement in the effort to increase productivity. The objective function was newly defined without introduction of any auxiliary parameters, such as scaling parameters, weighting coefficients and penalty parameters which are usually involved in multi-constraint or multi-objective optimization problems. As an optimization method, the genetic algorithm was used. The results for a sample problem show the validity of the proposed optimization methodology.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Epoxy Resin Curing Processes · Mechanical Behavior of Composites · Topology Optimization in Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (26)
Show source-provided references
1. Design, fabrication and testing of a composite bracket for aerospace applications10.1016/S0263-8223(97)00045-7 ↗
2. Preliminary study on cost optimization of aircraft composite structures applicable to liquid moulding technologies10.1016/S0263-8223(02)00062-4 ↗
3. The challenge of reducing both airframe weight and manufacturing cost10.1016/S1290-0958(01)90072-3 ↗
4. Design optimization of composite plates10.1177/002199839803200603 ↗
5. Design optimization of composite plates10.1177/002199839803200604 ↗
6. Design of composite laminates for strength, weight, and manufacturability10.1177/002199839703102301 ↗
7. Permutation genetic algorithm for stacking sequence design of composite laminates10.1016/S0045-7825(99)90391-2 ↗
8. Stacking sequence optimization by a genetic algorithm with a new recessive gene like repair strategy10.1016/S1359-8368(97)00030-9 ↗
9. The genetic algorithm applied to stiffness maximization of laminated plates10.1007/BF01203535 ↗
10. Improved genetic algorithm for minimum thickness composite laminate design10.1016/0961-9526(95)90710-S ↗
11. Multiobjective shape and material optimization of composite structures including damping
12. Structural optimization of multiple attributes10.1007/BF01743586 ↗
13. Halpin JC, Tsai SW. Effects of environmental factors on composite materials [AFML-TR], June 1969. p. 67–423.10.21236/AD0692481 ↗
14. Tsai · 1980
15. Eyraud G, Han WS, Verchery G. Finite element aided design for laminated and sandwich plates using reanalysis methods. In: Proceeding of the 9th International Conference on Composite Materials (ICCM9), vol. 5, Madrid, 1993. p. 617–24.
16. Jones · 1975
17. Darcy · 1856
18. Sitzungsber
19. Fluid flow through granular beds
20. Advani · 1994
21. Scheidegger · 1974
22. Volume of fluid (VOF) method for the dynamics of free boundaries10.1016/0021-9991(81)90145-5 ↗
23. Baliga · 1998
24. Goldberg DE. Genetic algorithms in search, optimization and machine learning. Addison Wesley; 1989.
25. De Jong KA. An analysis of the behavior of a class of genetic adaptive systems. [Doctoral dissertation, University of Michigan]. Dissertation Abstracts International 36(10), 5140B [University Microfilms no. 76-9381].
26. Chen CL, Chang MH. An enhanced genetic algorithm. In: European Congress on Fuzzy and Intelligent Technologies, EUFIT 1993, Arhen, Germany, 7–10 September 1993.