CAREER: Internet Tool for High-speed Machining Parameter Selection by Receptance Coupling Substructure Analysis

该学院早期职业发展（CAREER）计划奖项的研究目标是更好地理解高速加工应用中刀具/刀柄/主轴/机器组件的预处理动态预测，从而开发基于互联网的软件应用程序。该方法基于子结构分析方法，其中各个组件的模型或测量结果进行分析组合以预测最终装配响应。 教育目标是通过基于应用科学的研究活动吸引学生从事制造业职业。 这些招募工作的一个例子是佛罗里达大学主场橄榄球比赛期间用橄榄球语言描述工程概念的 Jumbotron 视频演示。此外，学生还将参与工业相关的制造研究，例如高速加工。如果成功，这项努力将改进高速加工，这将影响许多制造业务，例如航空航天制造，铝和钛的高加工量使得这种进步变得重要。使用基于互联网的软件应用程序提高材料去除率和零件质量的能力应该可以减少返工零件、废料和成本，从而提高效率。 此外，新制造工程师的教育将改善所有研究领域技术进步所需的基础设施。

The research objective of this Faculty Early Career Development (CAREER) Program award is to obtain an improved understanding of pre-process dynamics prediction for tool/holder/spindle/machine assemblies in high-speed machining applications, leading to the development of an Internet-based software application. The approach is based on substructure analysis methods where models or measurements of individual components are combined analytically to predict the final assembly response. The education objective is to attract students to manufacturing careers through applied science-based research activities. An example of these recruiting efforts is Jumbotron video presentations describing engineering concepts in the language of football during University of Florida home football games. Also, students will be involved in industrially relevant manufacturing research, such as high-speed machining.If successful, this effort will lead to improved high-speed machining, which will impact many manufacturing operations, such as aerospace manufacturing where the high machining volume of both aluminum and titanium renders such advances important. The ability to increase material removal rates and part quality using the Internet-based software application should reduce reworked parts, scrap, and cost and subsequently improve efficiency. Additionally, the education of new manufacturing engineers will improve the infrastructure necessary for technological advances in all research sectors.