Tailorable & Adaptive Connected Digital Additive Manufacturing (TACDAM)

TACDAM项目将消除增材制造在汽车应用中采用分阶段低、中、大批量方法的最后障碍。除了拥有正确的产品组合外，实现这一目标的必要条件是满足汽车对低成本和高质量的期望，这是该项目的主要目标。虽然整个价值链中产品成本的最大单一贡献者是增材制造（AM）的构建时间，但预计到2017年底将进一步大幅增加。其结果是，与预处理和后处理相关的成本变得相对更重要。谢菲尔德大学将开发的关键使能技术包括基于模型的方法的创建，用于优化制造环境中的零件生命周期。这包括识别价值链中的关键因素，以及数据驱动的方法，这些方法将从数据中“学习”，从而更好地从根本上理解流程。

The TACDAM project will remove the the final hurdles for the adoption of additive manufacturing in automotive applications in a staged low-mid-high volume approach. The essential requisite for this, besides having the right portfolio of products, is meeting automotive expectation of low cost and high quality, the delivery of which is the primary objective of the project. Although the biggest single contributor to product cost across the value chain has been Additive Manufacturing (AM) build time it is expected that by the end of 2017 substantial further increases will have been made. A result of this is that costs associated to pre- and post-processing are becoming relatively much more significant. Key enabling technologies, that will be developed by The University of Sheffield, include the creation of model-based approaches, that are used to optimise the part life-cycle in the manufacturing environment. This includes the identification of key factors in the value-chain, and data-driven methodologies that will 'learn' from data towards the better fundamental understanding of the process.