Simulation Based Engineering Optimization

dc.contributor.advisorHuri, Dávid
dc.contributor.authorKruja, Egin
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-01-30T14:41:56Z
dc.date.available2025-01-30T14:41:56Z
dc.date.created2024-11-25
dc.description.abstractThis thesis explored optimizing functionally graded sandwich panels for minimum mass and deformation under a sinusoidal load. Using a parameterized model in ANSYS, the study efficiently explored the design space to find the best trade-off between these conflicting objectives. Evolutionary and Particle Swarm Optimization algorithms were employed to navigate the complex design space and converge towards optimal solutions. The results offer valuable insights for designing functionally graded materials, enabling engineers to tailor material properties for specific performance requirements. By balancing mass minimization and deformation control, the study provides a framework for enhancing the structural performance of these advanced materials.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent46
dc.identifier.urihttps://hdl.handle.net/2437/386232
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectOptimization
dc.subjectANSYS
dc.subjectFGM
dc.subject.dspaceEngineering Sciences
dc.titleSimulation Based Engineering Optimization
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