Holistic optimisation of sculptured surfaces manufacturing

模具行业的特点是不断上升的竞争压力。竞争力必须通过降低加工时间和成本来提高生产率，并提高待加工产品的质量。实现这些目标的一个关键技术是5轴高速切削加工的雕塑表面的潜力，目前使用，但没有保释出来。拟议项目的重点是对制造质量的影响参数的识别和验证。分析与表面测量相关的机床误差;使用坐标测量机（CMM）评估制造的零件;识别适当的统计度量以验证与几何和机器性能相关的过程行为和制造的自由曲面;从零件几何形状诊断机床性能和从CAD几何模型生成基于样条的切削刀具路径的工具的开发是问题针对此问题提出了优化模具制造的建议。现有的仿真工具的适应和扩展需要一种可能性，以集成参数切削刀具磨损旁边的静态，动态和热的影响，以确定适当的工艺参数。并行实验测量将机床和工艺相关参数的数据整合在一个中央数据库中。所产生的数据与项目研究合作伙伴的知识相结合，以提供重要的规划数据。

The mould and die industry is characterised by permanently rising competitive pressure. Competitiveness has to be increased with higher productivity through declined machining times and costs as well as the same or higher quality of the products to be machined. A key technology to succeed these objectives is the 5-axes HSC machining of sculptured surfaces whose potentials are currently used, but not bailed out. The proposed project is focussed on the identification and validation of influencing parameters on manufacturing quality. Analysis of errors on machine tool related to surface measurements; evaluation of manufactured parts using a coordinate measuring machine (CMM); identification of adequate statistical metrics to characterise the process behaviour and the manufactured freeform surface concerning to geometric and machine behaviour; diagnostics of machine performance from part geometry and development of tools to generate Spline based cutting tool path from CAD geometric model are issues addressed by this proposal to optimize the mould and die manufacturing. The adaption and expansion of existing simulation tools require a possibility to integrate the parameter cutting tool wear beside static, dynamic and thermal influences to identify appropriate process parameters. Parallel experimental measurements consolidate data of machine tool and process relevant parameters which are provided in a central data base. Resulting data is combined with knowledge from project research partners to deliver significant planning data.