Coming soon: 3D foodprinting. Commercieel aantrekkelijke toepassingen van 3D foodprinting.
Notice bibliographique
Résumé
The first developments of 3D printing (Rapid Manufacturing) came during the late ‘80s and were based on the principle of building a 3D object layer by layer. The process starts with designing a virtual 3D CAD model, which can be uploaded to a 3D printer and fabricated via several printing methods. Each method uses the same principle (building up an object layer by layer), however uses a different technique. FDM builds up an object by printing a material like for example ABS directly on a platform. SLA and SLS make use of a laser which respectively hardens out layers of a photopolymer and metal powder. In comparison with conventional methods, RM distinguishes itself by adding material where required, instead of removing material. The advantages of Rapid Manufacturing are generally the ability to produce complex geometries, positioning and dosing a material with extreme precision, often leading to lower production costs compared to conventional methods, moreover the ability to print objects without the use of specific tools (with the additional changes in the logistics) and products which can be produced/tuned for/in the individual. Rapid Manufacturing also has a number of “disadvantages” which are expected to be solved in the future. For example, the hardware is (especially for the private consumer) often too expensive, the existing software is often too complicated for the general consumer, the production rate for large amounts of products is still too low and the costs of production are still too high for the majority of the products. The high costs are a good example of the relativity of the disadvantages because they depend upon, inter alia, the function of the product. By replacing a raw material like ABS in the process of FDM by a nutrient such as chocolate, a new application of RM arises; 3D foodprinting. 3D foodprinting is having a lot of media attention because of the futuristic nature and the potential impact 3D foodprinting might have on society in the future. On the Internet there are several 3D foodprinting concepts circulating, which can be divided into visually- appealing but unrealistic concepts, visually unattractive but realistic concepts and variants of 3D foodprinting from a medical and industrial perspective. 3D foodprinting is a new application of an existing technology and is yet commercially unattractive and can not be applied on a large scale. However 3D foodprinting is yet a fun way to experiment with RM and play with food. To make 3D foodprinting commercially attractive and applicable on a larger scale, more research has to be done to contemporary problems (commercial opportunities). Examples of these opportunities are the applicability of printable nutrients, the usability of both the software and the hardware and the acceptance of 3D foodprinting by society. It is expected that, as with Rapid Manufacturing, these problems will be solved in the near future and that these improvements will make 3D foodprinting commercially more attractive. Het Foodatelier from Enschede and the University of Twente both see great potential in 3D foodprinting and decided to examine the commercial use of 3D foodprinting. Based on the research and an organized workshop, three different concepts/applications for different sectors were set up; a home use of 3D foodprinting, the printing of an ice cube for the catering industry and a concept where printing two types of chocolate has an added value. The printed ice cube was elaborated into a visual and commercially attractive concept. The printing of ice is an existing technology (developed by McGill University) but yet not been applied as 3D foodprinting. By combining the printing of ice with (existing) software in which a 3D model can be obtained from pictures, the consumer will be able to easily print the contour of his/her face in an ice cube. The ice cube is built up in layers where at the “end”, the cavity of the contour will be filled with liquor. Both a liquor brand as a club/restaurant can thus present itself as an innovative and leading company. The ice cube adds nothing to the taste, but does increases the whole experience when going out, responds to the need for personalized products and besides it is very fun to have an ice cube containing your face. To finally commercially apply the utopian concept of the ice cube, Het Foodatelier and the University of Twente will perform a follow-up study.
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,153 | 0,067 |
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 ».