Optimization of Drying Process of Plastic Granules Based on Stochastic Method with Neuro Regression Approach

Mustafa DİNÇ

Polymers contain moisture due to their chemical structure. Moisture in polymers is important for the quality of the final product and ease of processing. For this reason, polymers are subjected to drying before processes such as injection and extrusion. Drying is carried out at temperatures and times specified by the polymer suppliers. Over-drying leads to increased viscosity (processing difficulty) while under-drying leads to flow marks, burrs, and reduced tensile strength and impact strength. Over-drying also causes excessive energy consumption. In this study, the drying process optimization ...Daha fazlası

Development of vibration performances of hybrid laminated composite materials by using stochastic methods

In recent years, laminated composites are fairly utilized in marine, automotive, aerospace, military and other engineering applications because of their high specific modulus (ratio between the young modulus and the density) and high specific strength (ratio between strength and density). In addition to these features, fiber reinforced composites have inherent tailorability such as fiber orientation and stacking sequence and provide great possibilities to designers against isotropic materials. Determination of the fundamental frequency performance of laminated composite plate is crucial for th ...Daha fazlası

OPTIMUM DESIGN OF ANTI-BUCKLING BEHAVIOUR OF THE LAMINATED COMPOSITES BY DIFFERENTIAL EVOLUTION AND SIMULATED ANNEALING ALGORITHMS

Akçair, Mehmet

Laminate composites can be used quite naturally in automotive, marine, aviation and other engineering branches. Determination of buckling load capacity under in-plane composite loads of composite plates is very important for the design of composite structures. In this thesis, Differential Evolution (DE) and Simulated Annealing (SA) are utilized for optimal stacking sequence of a laminated composite plate, which is simply supported on four edges and is subjected to biaxial in-plane compressive loads. The optimization problem parameters are defined as (i) Objective function: critical buck ...Daha fazlası