June 24, 2017
June 24, 2017
June 28, 2017
Engineering students are often unaware of the manufacturing challenges that are introduced during the design process. Frequently, students will design parts that are either very difficult or impossible to manufacture; this often occurs because they are unaware of the intricacies and limitations of the manufacturing processes available. Design for manufacturability (DFM) education must be improved to help address this issue.
This paper discusses a vision for the implementation of a rapid method for facilitating DFM education in terms of subtractive and additive manufacturing processes. The goal is to teach students about how their designs impact the ease and cost of manufacturing, in addition to giving them knowledge and confidence to move fluidly between additive and subtractive manufacturing mindsets. For subtractive manufacturing, this is accomplished through a high-performance-computing-accelerated (HPC-accelerated) and parallelized trajectory planning software package that enables students to visualize the subtractive manufacturability of the parts they design as rapidly as they get feedback when using additive manufacturing processes. A similar package is envisioned to support effective decision-making for additive manufacturing as well.
The implementation of the prototype HPC-accelerated CAM package for subtractive manufacturing in a required, high enrollment, undergraduate mechanical engineering course at a large public university is described as a pilot study to test our vision. A group of forty students was selected as the experimental group from the approximately 200 total students in the course; the remaining students served as control sections. The experimental group was given training and practice with the proposed CAM package; these students were also taught how to operate CNC lathes. Both the experimental and control section students were given a number of online assessments throughout the study. These assessments were designed to measure the students’ understanding of simple concepts in both additive and subtractive manufacturability. A score comparison between the treatment and control groups reveals that the implementation of the HPC-accelerated CAM package is effective in rapidly increasing undergraduate understanding of DFM for subtractive manufacturing.
Lynn, R., & Jablokow, K. W., & Saldana, C., & Tucker, T. M., & Kurfess, T. (2017, June), Enhancing Undergraduate Understanding of Subtractive Manufacturability through Virtualized Simulation of CNC Machining Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28282
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