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An automated approach for machining allowance evaluation of casting parts

机译：一种用于加工施加零件的自动化方法

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摘要

The inconsistency of casting parts is a major issue for subsequent automated machining processes. The lack of reasonable machining allowance analysis methods results in low automation level of finish machining process though higher accuracy sensors are well applied in 3D scanning of cast parts. Traditional analysis methods based on nonlinear optimisation are only suitable for sparse point data obtained by CMM (Coordinate-Measuring Machine). As the development of scanners and 3D point cloud registration technology, new methods are applied to machining allowance analysis, but those still fail to face the conditions, such as uncertain datum, casting defect and allowance adjustment. In this paper, an automated approach based on point cloud registration to machining allowance evaluation is presented. Three constraints - envelopment, localisation datum and evenly distributed allowance - are concerned for uncertain conditions of casting parts. Two stages, initial alignment and machining allowance optimisation, are detailed in implementation. This approach is validated to be practical and effective via two created models and several real casting parts.
机译：铸件零件的不一致是随后自动加工过程的主要问题。缺乏合理的加工允许分析方法导致低自动化加工过程的自动化水平，尽管在铸件的3D扫描中很好地应用了更高的精度传感器。基于非线性优化的传统分析方法仅适用于CMM（坐标式测量机）获得的稀疏点数据。由于扫描仪和3D点云登记技术的发展，新方法应用于加工津贴分析，但是那些仍然无法面对条件，如不确定的基准，铸造缺陷和允许调整。本文提出了一种基于点云注册到加工津贴评估的自动化方法。三个限制性 - 包络，本地化基准和均匀分布的津贴 - 涉及铸件零件的不确定条件。实施中详述了两个阶段，初始对准和加工津贴优化。通过两个创建的模型和几个真正的铸件零件，验证这种方法是实用的，有效的。

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