Multi-Objective & Multi-Constrained Parametric Optimization Algorithm
    
      Our advanced design optimization algorithm enables the development of robust and lightweight COPVs (Composite Overwrapped Pressure Vessels)
        with a 20–40% reduction in material usage, all while maintaining the strength required to withstand high internal pressures.
     
     The optimization procedure is powered by a combination of Finite Element Analysis (FEA), using CPVAdvisor’s built-in Model Builder and FEM Solver,
      and a custom, multi-objective optimization algorithm. This advanced workflow enables precise evaluation and refinement of designs while
      considering critical engineering factors.
    
     ✅ Design Parameters:
    
      - Composite Lay-up Configuration
     
      - Winding Angles
     
      - Layer Thicknesses
     
      - Head/Tail Pole Radii
     
      - Axial Edge Positions
     
      - Liner and Dome Geometry
     
      - Material Properties
     
     ✅ Optimization Objectives:
    
      - Minimize fiber stress variance across composite layers
     
      - Ensure uniform stress distribution in each layer
     
      - Reduce overall COPV weight
     
     ✅ Design Constraints:
    
      - Must meet failure criteria
     
      - Stay within defined bounds for each parameter
     
      - Stay within specified storage capacity
     
      - Comply with dimensional and size specifications
     
     ✅ Initial Design Options:
    
      - User-defined liner and laminate table
     
      - Automatically generated baseline design by CPVAdvisor
     
     Parallel Optimization Capability
    
      Accelerate results through parallel processing, allowing faster convergence and exploration of multiple design paths simultaneously.