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Record W4391987017 · doi:10.18260/1-2--37353

Integrating 3D Printing into Engineering Technology Curriculum

2024· article· en· W4391987017 on OpenAlex
Mert Bal, Farnaz Pakdel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing and 3D Printing Technologies
Canadian institutionsnot available
FundersNational Research Council CanadaOhio Department of Higher Education
KeywordsCourseworkProcess (computing)Engineering managementRapid prototypingCurriculum3D printingManufacturing engineeringEngineeringEngineering educationOrder (exchange)Computer scienceSystems engineeringMechanical engineeringBusiness

Abstract

fetched live from OpenAlex

Abstract 3-D printing has witnessed significant improvements since its inception as this process enables economical and rapid prototyping of various product designs within a very short time period. The recent technical advancement in 3-D printing managed to scale down the size of 3-D printers and the complexity of the process, where it is a more affordable technology for hobbyists, educators, engineers, researchers and scientists. The increasing use of 3-D printing technologies in industrial applications such as design and prototyping of products, has started creating demands for a skilled workforce of engineers and technicians who are proficient in all aspects of the additive manufacturing processes, from software-driven 3-D designs to hands-on execution of these designs using modern 3-D printing platforms. In order to be competent, modern engineers will need more advanced skills in CAD and optimization that focus on construction of 3-D structures with a growing number of metal, plastic and gel materials. These recent developments in the 3-D printing sector has also taken the attention of many higher education institutions offering engineering and engineering technology programs. A growing number of institutions have started investing on 3-D printers of various kinds and integrating them into their engineering curriculum and courses in order to assure that their students get familiar with the 3-D printing technologies and get well-prepared to industry. For maximum effectiveness, this integration often requires development of systematic coursework that focuses on the main principles of the technology, so that students are given instruction on the design principles for 3-D printing, proper selection of printing materials as well as proper operation techniques of the 3-D printing machines and corresponding modeling and slicing software tools. The paper describes the teaching experiences gathered along three years at the Department of Engineering Technology at the Miami University focusing on the proper use of 3-D printing technology. We present our efforts in developing hands-on laboratory courses as well as modules using 3-D printing to teach the engineering technology students proper design, creative thinking and analytical problem solving techniques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.248
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it