On topology optimization of design-dependent pressure-loaded three-dimensional structures and compliant mechanisms
arXiv:2009.05839 · doi:10.1002/nme.6618
Abstract
This paper presents a density-based topology optimization method for designing three-dimensional (3D) compliant mechanisms and loadbearing structures with design-dependent pressure loading. Instead of interface-tracking techniques, the Darcy law in conjunction with a drainage term is employed to obtain pressure field as a function of the design vector. To ensure continuous transition of pressure loads as the design evolves, the flow coefficient of a finite element is defined using a smooth Heaviside function. The obtained pressure field is converted into consistent nodal loads using a transformation matrix. The presented approach employs the standard finite element formulation and also, allows consistent and computationally inexpensive calculation of load sensitivities using the adjoint-variable method. For compliant mechanism design, a multi-criteria objective is minimized, whereas minimization of compliance is performed for designing loadbearing structures. Efficacy and robustness of the presented approach is demonstrated by designing various pressure-actuated 3D compliant mechanisms and structures.
25 pages, 17 figures
References in corpus (1)
Cited by in corpus (8)
- Topology optimization of stiff structures under self-weight for given volume using a smooth Heaviside function
- TOPress: a MATLAB implementation for topology optimization of structures subjected to design-dependent pressure loads
- Topological synthesis of fluidic pressure-actuated robust compliant mechanisms
- SoRoTop: a hitchhiker's guide to topology optimization MATLAB code for design-dependent pneumatic-driven soft robots
- An improved Material Mask Overlay Strategy for the desired discreteness of pressure-loaded optimized topologies
- Towards topology optimization of pressure-driven soft robots
- TOaCNN: Adaptive Convolutional Neural Network for Multidisciplinary Topology Optimization
- Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation