Gradient-Based Dovetail Joint Shape Optimization for Stiffness
Gradient-Based Dovetail Joint Shape Optimization for Stiffness
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DOI：
10.1145/3623263.3623364
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Xingyuan Sun;Chenyue Cai;Ryan P. Adams;Szymon Rusinkiewicz
中科院分区：
文献类型：
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作者：
Xingyuan Sun;Chenyue Cai;Ryan P. Adams;Szymon Rusinkiewicz
通过将物体分解成可以组装的部件来制造物体是很常见的。这种分解通常是由于机器的尺寸限制、形状的复杂结构等而需要的。为了能够轻松组装最终物体，通常需要设计能够在子组件之间实现稳健连接的几何形状。在这个项目中，我们研究了使用基于梯度的优化对燕尾接头形状进行刚度优化的任务。这种优化需要一个可微分模拟器，能够对关节两个部分之间的接触进行建模，从而可以推断出刚度相对于形状参数的梯度。我们的模拟方法使用惩罚方法，该方法交替优化关节的每一侧，并使用伴随方法计算梯度。我们通过在三个不同的关节形状空间中优化关节形状来测试我们的方法，并在模拟和实际测试中评估优化的关节形状。实验表明，优化的接头形状在综合和实际测试中都实现了更高的刚度。
It is common to manufacture an object by decomposing it into parts that can be assembled. This decomposition is often required by size limits of the machine, the complex structure of the shape, etc.To make it possible to easily assemble the final object, it is often desirable to design geometry that enables robust connections between the subcomponents. In this project, we study the task of dovetail-joint shape optimization for stiffness using gradient-based optimization. This optimization requires a differentiable simulator that is capable of modeling the contact between the two parts of a joint, making it possible to reason about the gradient of the stiffness with respect to shape parameters. Our simulation approach uses a penalty method that alternates between optimizing each side of the joint, using the adjoint method to compute gradients. We test our method by optimizing the joint shapes in three different joint shape spaces, and evaluate optimized joint shapes in both simulation and real-world tests. The experiments show that optimized joint shapes achieve higher stiffness, both synthetically and in real-world tests.