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Record W2124397138 · doi:10.24908/pceea.v0i0.3708

INTEGRATION OF ART AND DESIGN IN MECHANICAL ENGINEERING

2011· article· en· W2124397138 on OpenAlexaffvenue
M. Y. Ackerman, C. W. Stout, Cezary Gajewski

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsProduct designProcess (computing)Flexibility (engineering)Product engineeringProduct (mathematics)Engineering design processComputer scienceFunction (biology)DeliverableManufacturing engineeringCreativityNew product developmentFunctional requirementEngineeringSystems engineeringSoftware engineeringMechanical engineeringBusinessMarketingMathematics

Abstract

fetched live from OpenAlex

Is Design a process or an art form? Traditionally design has been taught in Engineering as a process that started with the definition of a need for a product or a process and culminated in a deliverable that took the form of a project record and usually a set of manufacturing drawings. There was always a good deal of emphasis on design for manufacturing as well as the minimization of product cost. As a result of this, and our inability to judge "creativity", designs had a tendency to be fully functional but not very esthetically pleasing. In other words the designs worked but, as often as not, were ugly. It seems that most engineers are very "left brained". As a result they are very comfortable with the notion of calculating anything required to make the design functional and cost effective but are not at all comfortable in making the design "work" from an industrial design perspective. Leading manufacturers of products are not satisfied with designs that are only functional. They recognize that for a product to be successful it must function but must also appeal to the customer. To enable this to happen requires more than the traditional hard calculation of optimal functional parameters; it requires a team approach that brings both the hard technical side and the more artistic industrial design side.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.178
Teacher spread0.168 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes2
Has abstractyes

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