Design method of high-precision pneumatic membrane structure
A design method, technology for inflatable structures, applied in computing, special data processing applications, instrumentation, etc.
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specific Embodiment approach 1
[0023] Specific embodiment one: the method of this embodiment comprises the following steps: the described method comprises the following steps:
[0024] Step 1. Establishing a model: using a solid model to establish an inflatable structure model under virtual conditions, and giving the allowable error size ζ for the design shape;
[0025] Step 2. Mesh division: first define the material properties, and then use shell 181 triangle elements to discretize the inflatable structure;
[0026] Step 3. Boundary conditions and loading solution: set the boundary conditions, apply the boundary load, and perform a pressure expansion calculation on the model. The fixed end of the solid model, the material and the applied boundary load are used as input quantities;
[0027] Step 31. Non-linear calculation of pressure expansion of the inflatable membrane structure:
[0028] Assuming that there are m nodes after discretizing the inflatable membrane structure into a finite element model, the...
specific Embodiment approach 2
[0041] Embodiment 2: The method of this embodiment also includes step 4, outputting the result, performing post-processing on the calculation result, deriving the RMS change map, and outputting the initial form. Other implementation steps are the same as those in the first embodiment.
specific Embodiment approach 3
[0042] Specific implementation method three: Taking the structure of the airfoil as an example, the initial shape analysis calculation is performed on the ANSYS platform. Establish figure 1 The airfoil model shown.
[0043] The thickness of the material is 50 microns, the modulus is 3Gpa, the Poisson's ratio is 0.3, and the inflation pressure is 100Kpa. The model is discretized with the SHELL 181 triangle element, and then the inflation and expansion calculation is performed. The result is as follows figure 2 shown.
[0044] Afterwards, the iterative processing of node optimization is carried out. After 10 steps of optimization, the accuracy RMS meets the requirement of 9.2500E-05m. The RMS optimized for each step is as image 3 .
[0045] The comparison between the optimized initial shape and the target shape is as follows: Figure 4 。
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