zuolin141 发表于 2024-6-15 13:30

maxwell 16 直线电机仿真

各位学长,请教一下,maxwell 16 直线电机仿真 峰值推力铁芯的深度 depth=30mm,怎样设置?在结果中会显示出来?data:image/png;base64,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**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**U1Ojp6RkbG7e3t7PZ7OzsbFlZ2aqqqq6uLjc3t8OHD9va2mKxWPDrBuFLo9E6OzslJSXl5OS0tbVlJ+zWrVupqambNm168+YNi8Vqampydna2tramUCifjvMAdBscHExLSzM3N4+NjeVyuXl5eSdOnFBTU/P39/fw8Dh16lR8fLyrq6uWlpatrW1oaKibm5uqqmp8fDz0E0+j0TIyMpBIpN+EmZqapqWlJSQkiOILZiN5enpaWVnt2bPHy8vr4cOHSkpKQUFBYCkKm82urKx8J75hYWELg68oNKmpqSYmJgYGBlFRUcXFxTt27DAwMDAzM7OwsPDy8nrx4sU78TU0NHz+/PnQ0BDwPaSkpLq6uoBAC4Xvixcv5OTkgP9NpVITExNv3LhhZGSkrq6+ZcuWurq6qqoqc3NzFxcXGo0GvgCKioo1NTV0Oj0nJ+fGjRv6+voWFhYxMTED**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**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**tyYV+QDMRCsqKgLLg2trazEYzJSpTCLJJ4N4PL6hoYFIJDIYjMLCwtgJKysrA6M/TCazqqoKRFZUVIiefjWZxfuECARCQ0NDV1fX+1z0yaWF8X3rLamvr7eysrp///57Tb8aGRmpra09ffo0iUSqqamxtrYODg6eTQ5PnjxxdHSMj48vKysbX3EuOWF6enqFhYUsFslRYBoAAAaeSURBVKu6utrAwGDHjh2SkpKGhoalpaXz9EnG55g6OjrOOBvprYp8eh/A+E69J3w+f3TCqqqqLC0tIXyheA6HAz2Gg4dNk**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

蓝海翊 发表于 2024-6-17 13:43

这个模型的铁芯深度是铁芯长度的意思么? 如果是铁芯长度,建模的时候应该就设置了这个参数, 直接参数化就可以了

zuolin141 发表于 2024-6-17 13:53

感谢2楼的回复,是指铁芯长度,我试过参数化设置,不出效果,不知道是不是操作有问题。
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