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Automating Vehicle Component Models for Enhanced Accuracy and Efficiency
技术
- 机器人 - 自动导引车 (AGV)
适用行业
- 汽车
- 建筑物
适用功能
- 产品研发
用例
- 租赁金融自动化
- 时间敏感网络
挑战
中国领先的汽车品牌长安汽车正在努力解决耗时且容易出错的预处理和设置车辆部件（特别是扭梁）的过程。模型需要尽可能接近现实以获得准确的结果，这使得该过程极其耗费人力。这在开发过程中造成了重大瓶颈，使长安汽车越来越难以按时完成项目。我们面临的挑战是找到一种可以简化此流程、减少错误并提高效率的解决方案。
关于客户
长安汽车是中国领先的汽车品牌，拥有30多年的乘用车制造和销售经验。该公司的行业领导地位是在 150 多年前作为中国第一家西式工程公司而确立的。如今，长安已跻身中国四大汽车集团之列，并保持着中国本土汽车品牌销量第一的称号。该公司的中文名字意思是“持久的安全”，致力于开发最安全的车辆。为此，它采用 CAE 软件来不断改进这一使命。
解决方案
长安汽车求助于 CAE 软件解决方案提供商 Altair 来应对这一挑战。 Altair 的企业解决方案团队定制了现有的成套解决方案以满足长安的特定需求，从而产生了长安底盘结构自动化工具。该工具指导用户完成扭梁模型预处理的必要流程，自动执行重复任务以节省时间。用户现在可以使用 HyperMesh 对扭转梁进行网格划分，以实现与实际组件中几乎相同的细节水平，根据分析数据创建焊缝，分配适当的材料并识别它们的接触点。该解决方案可以加速模型组织和快速网格生成。模型建立后，可以将其导入 OptiStruct 或任何其他求解器中以生成所需的结果。
运营影响
数量效益
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