Design for additive manufacturing. Guidelines and case studies for metal applications: Presentation held at The Cutting Edge, CMTS 2017, Canadian Manufacturing Technology Show, Toronto, 25 - 28 September 2017
Notice bibliographique
Résumé
Additive Manufacturing (AM), often simply called 3D printing, provides nearly unrestricted freedom to design parts in order to optimize their functionality. It offers designers and manufacturers the ability to produce shapes and designs that would be impossible to produce using conventional manufacturing technologies such as moulding or machining. Optimizing the design of parts can be achieved by reducing their weight, incorporating internal features or reducing the need for assembling separate components. AM also offers the opportunity to reduce or eliminate waste that results from manufacturing, and to reduce the need for warehousing while enhancing the value of local production. The efficient use of AM technologies requires a rethinking in 3D design, which currently still poses a barrier particularly for small and medium-sized enterprises (SMEs) of metal industry. Advantages and opportunities as well as restrictions of additive manufacturing must be well known in order to pave the way for a successful commercialisation and to make AM a competitive manufacturing method. The presentation summarizes a study on "DESIGN FOR ADDITIVE MANUFACTURING - Guidelines and Case Studies for Metal Applications" and is based on seven components, which were developed and manufactured in the scope of separate projects, but have been selected, reviewed and assessed in a detailed case study particularly and retrospectively within this task. The design of each component was tailored to the specific needs of the chosen AM technology. The development and manufacturing activities were performed by Fraunhofer Institutes, who are members of the Fraunhofer Additive Manufacturing Alliance. The alliance integrates seventeen Fraunhofer Institutes across Germany, which deal with subjects concerning additive manufacturing and represent the entire process chain including the development, application and implementation of additive production processes as well as associated materials. The presentation identifies leading edge industrial applications and trends associated with the design for additive manufacturing and limitations related to current AM technologies. The evaluation of the seven case studies highlights general design principles to take best advantage of the powder bed based additive manufacturing techniques Laser Beam Melting (LBM) and Electron Beam Melting (EBM). Moreover, the design optimisation and material characterisation are analysed. Finally, there are given overall conclusions with focus on AM-specific design optimisation, main flaws and weaknesses of the considered metal AM processes as well as aspects of AM commercialisation.
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 | 0,007 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,004 |
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 ».