Design of Experiments • Manufacturing • R&D • Process Engineering • Product Development • Engineering Management • Cross Functional Team Leadership • Medical Devices • Management • Lean Manufacturing • Iso 13485 • Fda • Engineering • Six Sigma • Testing • Quality System • Validation • Product Management • U.s. Food and Drug Administration • Continuous Improvement • Root Cause Analysis • Fmea • Process Simulation • Leadership
- San Jose CA, US Crystal TJHIA - Sunnyvale CA, US Eric YAU - Saratoga CA, US Rohit TANUGULA - San Jose CA, US Jun SATO - San Jose CA, US
International Classification:
A61C 7/08 A61C 7/00 A61C 7/36
Abstract:
A series of appliances including a first appliance and a second appliance. The first appliance can be configured to receive at least one tooth of a first jaw and have a first number of bite adjustment structures extending from the lingual surface of the first appliance. The first number of bite adjustment structures can have a first shape and location specific to a first stage of the treatment plan. The second appliance can be configured to receive at least one tooth of the second jaw, have a second number of bite adjustment structures extending from the second appliance and be designed to make contact with the first number of bite adjustment structures.
Insertable And Prefabricated Attachments For An Oral Appliance
- San Jose CA, US Crystal Tjhia - Sunnyvale CA, US Rohit Tanugula - San Jose CA, US Dennis Te - San Jose CA, US
International Classification:
A61C 7/08 A61C 7/14 A61C 7/36 A61F 5/56
Abstract:
A dental appliance includes an interior shape that substantially conforms to a dental arch of a patient, a hollow portion forming a cavity, and an object bonded to the dental appliance and inserted into the cavity. The object provides structural strength to the dental appliance at a location of the hollow portion and does not interfere with a fit of the dental appliance onto the dental arch of the patient.
- San Jose CA, US Rohit Tanugula - San Jose CA, US Shiva P. Sambu - Milpitas CA, US Crystal Tjhia - Sunnyvale CA, US
International Classification:
A61C 9/00 A61C 7/08
Abstract:
A mold includes a first section, a second section, and a weakened region that joins the first section to the second section. The weakened region is breakable, deflectable, or deformable in response to a first threshold force to enable the first section to be removed from a shell independently of the second section after the shell is formed over the mold. The first threshold force is less than a second threshold force that would damage or permanently deform the shell. The first section is a first mold of at least a portion of one or more first teeth of a dental arch and the second section is a second mold of at least a portion of one or more second teeth of the dental arch.
Automatic Aligner Design With Robust Parametric Optimization Method
- San Jose CA, US Andrew Jang - San Mateo CA, US Bruce Cam - San Jose CA, US Rohit Tanugula - San Jose CA, US Chunhua Li - Cupertino CA, US Jun Sato - San Jose CA, US Luyao Cai - Santa Clara CA, US Pavel Pokotilov - Santa Clara CA, US Kangning Su - Arlington VA, US John Y. Morton - San Jose CA, US
International Classification:
A61C 7/00 A61C 7/08
Abstract:
Methods and systems for producing orthodontic appliances are provided herein utilizing iterative modeling techniques to increase the efficiency and efficacy of said appliances. Further disclosed herein are the orthodontic appliances fabricated from such methods.
Aligner Damage Prediction At Weak Spots With Simulation
- San Jose CA, US Rohit Tanugula - San Jose CA, US Reza Shirazi Aghjari - San Jose CA, US Chunhua Li - Cupertino CA, US Jun Sato - San Jose CA, US Luyao Cai - San Jose CA, US Kangning Su - Arlington VA, US
International Classification:
A61C 7/00 G06F 17/50 G06F 17/18
Abstract:
Embodiments relate to an aligner breakage solution that tests probability of aligner breakage at weak points. A method includes gathering a digital model representing an aligner for a dental arch of a patient, receiving material property information for a material to be used to manufacture the aligner, and analyzing one or more regions of the aligner. Analyzing a region of the aligner comprises simulating application of a load around the region, determining at least one of a stress, a strain or a strain energy density at the region, evaluating a strength of the aligner at the region, and determining whether the region satisfies a damage criterion based on the strength of the aligner at the region.
Prediction Of Aligner Progressive Damage Using Simulation
- San Jose CA, US Rohit Tanugula - San Jose CA, US Reza Shirazi Aghjari - San Jose CA, US Chunhua Li - Cupertino CA, US Jun Sato - San Jose CA, US Luyao Cai - San Jose CA, US Kangning Su - Arlington VA, US
International Classification:
A61C 7/00 A61C 7/08 G01N 33/44 G16H 50/50
Abstract:
Embodiments relate to an aligner breakage solution that tests progressive damage to an aligner. A method includes gathering a digital model representing an aligner for a dental arch of a patient, and simulating progressive damage to the aligner. Simulating progressive damage for a region of the aligner comprises simulating, using at least the digital model, a sequence of loads on the aligner, determining an amount of damage to the region of the aligner for each load, and after each simulation of a load on the aligner, updating the digital model based on the amount of damage to the region of the aligner. The method further includes determining whether a damage criterion is satisfied for at least one region of the aligner and determining whether to implement one or more corrective actions for the aligner.
- San Jose CA, US Arno Kukk - Moscow, RU Andrey Cherkas - Krasnoznamensk, RU Anna Akopova - Moscow, RU Yuxiang Wang - Newark CA, US Rohit Tanugula - San Jose CA, US Reza Shirazi Aghjari - San Jose CA, US Andrew Jang - San Mateo CA, US Chunhua Li - Cupertino CA, US Jun Sato - San Jose CA, US Luyao Cai - San Jose CA, US
International Classification:
A61C 7/00 A61C 7/08 G06N 20/00 G06F 17/18
Abstract:
Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes processing data from a digital design for an orthodontic aligner by a trained machine learning model and outputting, by the trained machine learning model, a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner. The method further includes making a comparison of the probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner to a probability threshold and determining whether the orthodontic aligner is a high risk orthodontic aligner based on a result of the comparison. Responsive to determining that the orthodontic aligner is a high risk orthodontic aligner, the method includes performing at least one of a) a corrective action or b) selecting a manufacturing flow for high risk orthodontic aligners.
- San Jose CA, US Rohit Tanugula - San Jose CA, US Reza Shirazi Aghjari - San Jose CA, US Andrew Jang - San Mateo CA, US Chunhua Li - Cupertino CA, US Jun Sato - San Jose CA, US Luyao Cai - San Jose CA, US Viktoria Medvinskaya - Puschino, RU Arno Kukk - Moscow, RU Andrey Cherkas - Krasnoznamensk, RU Anna Akopova - Moscow, RU Kangning Su - Arlington VA, US
Embodiments relate to an aligner breakage solution. A method includes obtaining a digital design of a polymeric aligner for a dental arch of a patient. The polymeric aligner is shaped to apply forces to teeth of the dental arch. The method also includes performing an analysis on the digital design of the polymeric aligner using at least one of a) a trained machine learning model, b) a numerical simulation, c) a geometry evaluator or d) a rules engine. The method may also include determining, based on the analysis, whether the digital design of the polymeric aligner includes probable points of damage, wherein for a probable point of damage there is a threshold probability that breakage, deformation, or warpage will occur. The method may also include, responsive to determining that the digital design of the polymeric aligner comprises probable points of damage, performing corrective actions based on the probable points of damage.
Align Technology
Senior Product Engineering Manager
James Hardie Building Products Jun 2003 - Aug 2006
Process Engineer
The Mathworks Nov 2001 - Jun 2003
Application Engineer
Education:
West Virginia University 1999 - 2001
Master of Science, Masters, Mechanical Engineering
Birla Institute of Technology and Science, Pilani 1995 - 1999
Bachelors, Bachelor of Science, Mechanical Engineering
Skills:
Design of Experiments Manufacturing R&D Process Engineering Product Development Engineering Management Cross Functional Team Leadership Medical Devices Management Lean Manufacturing Iso 13485 Fda Engineering Six Sigma Testing Quality System Validation Product Management U.s. Food and Drug Administration Continuous Improvement Root Cause Analysis Fmea Process Simulation Leadership
Aug 2006 to 2000 Sr. Mfg. Process EngineerJames Hardie Building Products Fontana, CA Jul 2003 to Aug 2006 Corporate Process EngineerThe MathWorks, Inc Natick, MA Sep 2001 to Jul 2003 Application Support EngineerWest Virginia University Morgantown, WV Aug 1999 to Sep 2001 Graduate Research AssistantBharat Dynamics Limited Hyderabad, Andhra Pradesh Jan 1999 to Jun 1999 PilotMetallurgical & Engineering Consultants Limited Hyderabad, Andhra Pradesh May 1997 to Jul 1997 Summer Intern
Education:
West Virginia University Aug 2001 MS in Mechanical EngineeringBirla Institute of Technology & Science May 1999 BS in Mechanical Engineering
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