Introducing a CAD/CAM Laboratory to Support an Undergraduate Course in Manufacturing Engineering
Bibliographic record
Abstract
Contemporary courses in manufacturing engineering can easily become susceptible to obsoleteness due to the dramatically reduced lifespan of most current technical information caused by the rapid advances in information technology in recent years. One of the best ways to prevent this problem and preserve the practical value of the courses in manufacturing engineering is to permanently include state-of-the-art technical contents into the course curricula and respective laboratories. In this context, the Department of Mechanical and Industrial Engineering (MIE) at the University of Toronto developed a new three-module laboratory to support the curriculum of its undergraduate course in manufacturing engineering. The initial laboratory module introduces a CAD/CAM software package, which is subsequently used by the students to first design a plastic product and the corresponding injection mold, and then generate the G-code needed for the machining of the mold. The second module exposes the students to the use of a CNC milling machine in order to produce the mold, while the final module provides them the opportunity to produce the plastic product using the mold and an injection molding machine. This paper gives emphasis to the technical content, the projected educational objectives and hands-on experience, and the appropriate educational approaches required for the successful implementation of this laboratory. 1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".