Integrating Computer Simulations and Hands-On Real-World Experimentations to Improve Undergraduate Manufacturing Engineering Education

工程-其他(59)这个项目通过开发一种创新的模式，使用实践经验，显著改善认知学习和学生动机，来改善本科制造工程教育体验。PI正在开发计算机模拟和动手实验，以解决制造和加工操作问题。计算机模拟代表了具体的加工问题，例如切削力的预测。学生通过动手实验练习收集实验数据，并将这些数据作为模拟模型的输入。使用模拟结果，学生们正在执行第二组实验并验证模拟模型输出。根据理论和数学结果，学生修改模拟程序中使用的数学模型，从而提高模拟模型的预测精度。使用这种方法，PI将计算机模拟与实验室实验相结合。这种方法提高了学生对制造过程变量之间复杂关系的理解，而学生仅从课堂讲课中很难真正理解这些关系。这个项目让学生参与一个循环的学习过程，并为他们提供重要的研究经验。对这个项目的形成性评估包括评估学生与计算机模拟、讲座和每个模块的课程材料的互动。总结性评价活动通过后测试记录了课程和教学模式的成功。项目成果正在通过CD和网络格式广泛传播到学术和工业制造环境中。

Engineering - Other (59)This project is improving the undergraduate manufacturing engineering educational experience by developing an innovative model using hands-on minds-on experiences that significantly improve both cognitive learning and student motivation. The PIs are developing both computer simulations and hands on experiments that address manufacturing machining operations. The computer simulations represent specific machining problems, such as the prediction of cutting forces. The students are collecting experimental data via hands on laboratory exercises and using this data as input to the simulation model. Using the simulation results, the students are performing a second set of experiments and validating the simulation model output. Based on both theoretical and mathematical results, the students are modifying the mathematical model utilized in the simulation program, thereby increasing the predictive accuracy of the simulation model.Using this methodology, the PIs are integrating the computer simulations with the laboratory experimentation. This approach is increasing student understanding of the complex relationships among manufacturing process variables that are difficult for students to truly comprehend from classroom lectures alone. This project is involving the students in a cyclic learning process as well as providing them with a significant research experience.Formative evaluation of this project includes assessment of the student interaction with computer simulations, lectures, and course material for each module. Summative evaluation activities are documenting the success of the curriculum and the pedagogical model through post-testing. The project results are being broadly disseminated to both academic and industrial manufacturing environments via CD and web formats.