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.