SBIR Phase II: Intelligent Tool Wear Monitoring

该小型企业创新研究(SBIR)第二阶段项目旨在开发一系列产品，通过以下方式促进双向CAM/CNC集成和第一部分校正技术：1)预测刀具磨损监控，2)智能切割速度(进给)选择，3)CAM/NC集成。该解决方案集成了上述技术，实时监控刀具力和刀具磨损，并使用智能进给速度适配器修改切割过程，即使在刀具磨损时也能实现最佳性能。制造业是一家全球性企业，正如有据可查的那样，现在有很多事情都是在美国以外完成的。但这并不是必然的结果。美国仍是全球最大的消费国。在国内，美国制造业拥有较低的运费和准时交货要求的地理优势。如果成功，该项目开发的技术可能会对美国制造业的发展产生重大的积极影响。其他更广泛的影响包括研究生将接触到与行业直接相关的研究。

This Small Business Innovation Research (SBIR) Phase II project seeks to develop a family of products that will facilitate two-way CAM/CNC integration and First Part Correct technology through: 1) Predictive tool wear monitoring, 2) Intelligent cutting speed (feed) selection, 3) CAM/CNC Integration. The solution integrates the above technologies, monitoring the in situ tool forces and tool wear and using the intelligent feed rate adaptor to modify the cutting process for optimum performance even as the tool wears. Manufacturing is a global enterprise and, as well documented, much is now done outside the US. But this is not a foregone conclusion. The US remains the largest global consumer. Internally US manufacturing has a geographic advantage with lower freight cost and just-in-time delivery requirements. If successful, the technology developed in this project could make a significant positive impact on US manufacturing moving forward. Other broader impacts include graduate students who will be exposed to research of immediate interest to industry.