Notice bibliographique
Résumé
Ultra-Span manufactures equipment for use in the precast concrete industry. Their goal is to provide their customers with equipment designed with simplicity in mind to increase throughput, reduce downtime, and increase profitability. Ultra-Span set a target to reduce the manufacturing cost of the SMA-400 hollow-core saw by $3000 as they are 60% over their expected budget for the machine. Furthermore, the machine operator cannot easily line the saw blade with the intended cut location due to poor line of sight. Additionally, the red laser guide is too dim in bright ambient lighting. This results in the operator dismounting multiple times to line up the saw blade. The team redesigned the mainframe tubing assembly and lifting beam to reduce material costs. Robot Structural Analysis was used to optimize the tubing thickness of each member in the mainframe tubing assembly by up to 50%. The cost savings of the final design of the mainframe tubing assembly is estimated to be $1170, while satisfying the required minimum safety factor of two. Inventor stress analysis was used to verify that the new lifting beam has a minimum safety factor of five. The final design of the lifting beam features a 7x3x1/4 rectangular steel tube, a 1-inch thick steel hoist plate, and 1-inch thick steel end plates. The cost savings of the final design of the lifting beam is estimated to be $706.34. Design simplifications reduced the cost of the saw by $861.77. These simplifications include reducing the number of toggle switches to one, redesigning the back wall panel, modifying the side fastener layout, removing the hydraulic hose mounts, and making the slab clamps optional. The team proposes to subcontract the mainframe tubing assembly to reduce labor costs. An estimate of the labor required to assemble the tubing assembly was obtained from Standard Machine Works in Winnipeg. The theoretical subcontracting of the assembly would reduce the labor cost of the saw by $2570. For the secondary objective, ten concepts were generated to improve operator visibility in lining up the saw blade with the intended cut. The team selected the best concept based on cost, simplicity, ease of use, reliability, and ease of lining up the cut. Ultimately, the team determined that adding a camera and laser system as a single solution is the best method to line up the saw blade with the intended cut location. The 10mW green laser is five times brighter than the current 10mW red laser, allowing the operator to see the laser in bright ambient lighting. The cost of the camera system is $561.61 and the two green lasers cost $904. Overall, the total cost of Ultra-Span's SMA-400 saw was reduced by $4145.18, which exceeded the target of $3000. Additionally, the operator's ability to line up the saw to the intended cut location is improved. In conclusion, the main objectives of the project are achieved while meeting all the constraints.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».