公开(公告)号：US20250009479A1

公开(公告)日：2025-01-09

申请号：US18891184

申请日：2024-09-20

Applicant: Solventum Intellectual Properties Company

Inventor： Saswata Chakraborty ,  Benjamin C. Mac Murray ,  James D. Hansen ,  Karl J.L. Geisler ,  Thomas P. Klun ,  Daniel J. Skamser ,  John M. Riedesel ,  Steven H. Kong ,  Anja Friedrich

IPC: A61C7/08 ,  B29C64/135 ,  B29C64/241 ,  B29C64/30 ,  B29C71/02 ,  B29C71/04 ,  B29L31/00 ,  B33Y10/00 ,  B33Y40/20

Abstract: The present disclosure provides a method of making an orthodontic article. The method includes (a) providing a photopolymerizable composition; (b) selectively curing the photopolymerizable composition using actinic radiation to form an article in the shape of an orthodontic article including a number of layers of at least one photopolymerized polymer; and (c) moving the article and thereby generating a mass inertial force in the uncured photopolymerizable composition. The article has a first surface, and no more than 75% of the first surface has a slope magnitude greater than 2.5 degrees. Orthodontic articles are also provided, including an orthodontic article that is prepared according to the method. Orthodontic articles having low extractable component content are further provided. The mass inertial force tends to form a coating layer of uncured photopolymerizable composition on the article, and curing the coating layer can form a surface having low slope magnitude. The low slope magnitude may be correlated to a low haze of the surface of the article.

公开(公告)号：US20240320382A1

公开(公告)日：2024-09-26

申请号：US18618192

申请日：2024-03-27

Applicant: SOLVENTUM INTELLECTUAL PROPERTIES COMPANY

Inventor： Jonathan D. Gandrud ,  Cameron M. Fabbri ,  Joseph C. Dingeldein ,  James D. Hansen ,  Benjamin D. Zimmer

IPC: G06F30/10 ,  A61C13/00 ,  A61C13/34 ,  G06T17/20

CPC classification number: G06F30/10 ,  A61C13/0004 ,  A61C13/34 ,  G06T17/20

Abstract: Techniques are described for automating the design of dental restoration appliances using machine learning models. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a machine learning model trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the machine learning model using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.