Method for predicting springback amount and method for bending deformed reinforcing bar
US-2023086958-A1 · Mar 23, 2023 · US
US2023166315A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023166315-A1 |
| Application number | US-202117561992-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 26, 2021 |
| Priority date | Nov 26, 2021 |
| Publication date | Jun 1, 2023 |
| Grant date | — |
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A hemming path planning method and a hemming system are provided. The hemming path planning method includes the following steps. An initial contour data of a target is scanned to obtain. A first segment of the hemming path is planned according to the initial contour data. The first segment corresponds to a first bending angle. A second segment of the hemming path is planned according to the initial contour data and an expected springback amount related to the first bending angle. The second segment corresponds to a second bending angle. The first segment and the second segment are combined to obtain a continuous hemming path.
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What is claimed is: 1 . A hemming path planning method comprising: scanning to obtain an initial contour data of a target; planning a first segment of the hemming path according to the initial contour data, wherein the first segment corresponds to a first bending angle; planning a second segment of the hemming path according to the initial contour data and an expected springback amount related to the first bending angle, wherein the second segment corresponds to a second bending angle; and combining the first segment and the second segment to obtain a continuous hemming path. 2 . The hemming path planning method according to claim 1 , wherein obtaining the expected springback amount related to the first bending angle comprises finding a corresponding expected springback amount using a shaping direction and a path direction as coordinate axes. 3 . The hemming path planning method according to claim 1 , wherein planning the first segment comprises: obtaining a processing tangent vector according to the initial contour data and a processing position; obtaining a processing position coordinate, a distribution angle, and a scaling factor according to the processing position and the processing tangent vector; obtaining a weight function according to the scaling factor, the processing position, the distribution angle, and the processing position coordinate; obtaining a processing normal vector according to the initial contour data, the processing position, and the weight function; and planning the first segment according to the processing tangent vector and the processing normal vector. 4 . The hemming path planning method according to claim 3 , wherein the processing tangent vector is {right arrow over (v i )}, p i is a current processing position coordinate, p i−1 is a previous processing position coordinate, and p i+1 is a next processing position coordinate, v i → = p i - 1 p i → + p i p i + 1 → 2 . 5 . The hemming path planning method according to claim 4 , wherein the distribution angle is δ, δ = cos - 1 ( v i → · x ^ v i → ) . 6 . The hemming path planning method according to claim 5 , wherein the scaling factor comprises s 1 and s 2 , s 1 = u i → · v i → v i → , s 2 = u i → - u i → · v i → v i → 2 v i → , u i → = p i - 1 p i +
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