IP Library › Granted Patent US 12,269,206
Granted Patent B2
US 12,269,206 · App. 17/307,521 · Granted Apr 8, 2025

Optical scanning for industrial metrology

Inventors: Wojciech Matusik (Lexington, MA); Gregory Ellson (Cambridge, MA); Desai Chen (Arlington, MA); Javier Ramos (Boston, MA); Davide Marini (Medford, MA); Aaron Weber (Arlington, MA)
Assignee: Inkbit, LLC
B29C64/135B29C64/205B29K2995/0027B29K2995/0035B33Y10/00B33Y30/00B33Y70/00G02B26/10
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,269,206
App. No.
17/307,521
Granted
Apr 8, 2025
Kind
B2
Abstract

An approach to improving optical scanning increases the strength of optical reflection from the build material during fabrication. In some examples, the approach makes use of an additive (or a combination of multiple additives) that increases the received signal strength and/or improves the received signal-to-noise ratio in optical scanning for industrial metrology. Elements not naturally present in the material are introduced in the additives in order to increase fluorescence, scattering or luminescence. Such additives may include one or more of: small molecules, polymers, peptides, proteins, metal or semiconductive nanoparticles, and silicate nanoparticles.

Claims (20)

1. A method for additive manufacturing, said method comprising:

forming an object, wherein forming said object comprises depositing fabrication material comprising a build material and a fluorescent material that fluoresces in response to illumination by radiation having a first wavelength;

carrying out profilometry, wherein carrying out said profilometry comprises illuminating said object with radiation at a first wavelength, sensing fluorescence that results from said illumination, and determining a geometric property of said object based on said fluorescence; and

initiating curing of said material, including illuminating said material with radiation at a second wavelength;

wherein the method further comprises depositing a support material around a partial formation of the object and detecting a transition between the fabrication material and the support material as a result of a difference between the optical properties of the fabrication material and those of the support material.

2. The method of claim 1 , further comprising controlling further deposition of said enhanced fabrication material based at least in part on said property as determined from having scanned said object.

3. The method of claim 1 , wherein said fluorescent material is embedded in said fabrication material and below a surface of said object.

4. The method of claim 1 , wherein said fabrication material comprises a visible-light curable resin and wherein initiating curing of said material further comprises selecting said wavelength to be in the visible range.

5. The method of claim 1 , wherein said fabrication material comprises a heat-curable resin and wherein initiating curing of said material further comprises selecting said wavelength to correspond to thermal radiation.

6. The method of claim 1 , wherein illuminating said object with radiation at a first wavelength comprises illuminating said object with ultraviolet radiation.

7. The method of claim 1 , wherein carrying out said profilometry comprises carrying out laser profilometry and scanning said object.

8. The method of claim 1 , wherein forming said object further comprises depositing plural materials, each of which includes a different optical enhancement component, and wherein carrying out said profilometry comprises distinguishing said materials from each other based on different emission characteristics of said different optical enhancement components, said different optical enhancement components including the fluorescent material.

9. The method of claim 1 , wherein determining said property of said object comprises determining a surface profile of said object.

10. The method of claim 1 , wherein said build material comprises a photocurable resin.

11. The method of claim 1 , wherein said build material is a transparent material.

12. The method of claim 1 , wherein carrying out said profilometry comprises scanning said deposited material with structured light.

13. The method of claim 1 , wherein determining said property comprises determining a surface geometric structure of said object.

14. The method of claim 1 , wherein said build material comprises a printable resin that comprises a mixture of pigments and dyes.

15. The method of claim 1 , wherein determining said property comprises determining a property that is indicative of a geometric structure of a partial formation of the object.

16. The method of claim 1 , wherein depositing said fabrication material further comprises varying a concentration of said fluorescent material such that different portions of said object have different amounts of said fluorescent material.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 26, 2024
From: MATUSIK, WOJCIECH; ELLSON, GREGORY; CHEN, DESAI; RAMOS, JAVIER; MARINI, DAVIDE; WEBER, AARON
To: INKBIT, LLC
Reel/Frame 066561/0743 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2021
From: MATUSIK, WOJCIECH; ELLSON, GREGORY; CHEN, DESAI; RAMOS, JAVIER; WEBER, AARON; MARINI, DAVIDE
To: INKBIT, LLC
Reel/Frame 057215/0063 →
Continuity (2)
Division 16671234 · Nov 1, 2019
Related Publication 20210394436A1 · Dec 23, 2021
References Cited (178)
US 5460758A · Langer · 1995 [cited by examiner]
US 6492651B2 · Kerekes · 2002 [cited by applicant]
US 8237788B2 · Cooper et al. · 2012 [cited by applicant]
US 9259931B2 · Moreau et al. · 2016 [cited by applicant]
US 9562759B2 · Vogler et al. · 2017 [cited by applicant]
US 9697604B2 · Wang et al. · 2017 [cited by applicant]
US 9952506B2 · Arai et al. · 2018 [cited by applicant]
US 10011071B2 · Batchelder · 2018 [cited by applicant]
US 10252466B2 · Ramos et al. · 2019 [cited by applicant]
US 10456984B2 · Matusik et al. · 2019 [cited by applicant]
US 10725446B2 · Mercelis · 2020 [cited by applicant]
US 10926473B1 · Matusik et al. · 2021 [cited by applicant]
US 10994477B1 · Matusik · 2021 [cited by examiner]
US 10994490B1 · Matusik et al. · 2021 [cited by applicant]
US 20020104973A1 · Kerekes · 2002 [cited by applicant]
US 20040085416A1 · Kent · 2004 [cited by applicant]
US 20040114002A1 · Kosugi et al. · 2004 [cited by applicant]
US 20040173946A1 · Pfeifer et al. · 2004 [cited by applicant]
US 20060007254A1 · Tanno et al. · 2006 [cited by applicant]
US 20070106172A1 · Abreu · 2007 [cited by applicant]
US 20070241482A1 · Giller et al. · 2007 [cited by applicant]
US 20080124475A1 · Kritchman · 2008 [cited by applicant]
US 20090073407A1 · Okita · 2009 [cited by applicant]
US 20090105605A1 · Abreu · 2009 [cited by applicant]
US 20090220895A1 · Garza · 2009 [cited by examiner]
US 20090279089A1 · Wang · 2009 [cited by applicant]
US 20090279098A1 · Ohbayashi et al. · 2009 [cited by applicant]
US 20100140550A1 · Keller et al. · 2010 [cited by applicant]
US 20100158332A1 · Rico et al. · 2010 [cited by applicant]
US 20120275148A1 · Yeh et al. · 2012 [cited by applicant]
US 20120316820A1 · Nakazato · 2012 [cited by examiner]
US 20130182260A1 · Bonnema et al. · 2013 [cited by applicant]
US 20130328227A1 · McKinnon et al. · 2013 [cited by applicant]
US 20140249663A1 · Voillaume · 2014 [cited by applicant]
US 20140300676A1 · Miller et al. · 2014 [cited by applicant]
US 20140328963A1 · Mark et al. · 2014 [cited by applicant]
US 20150061178A1 · Siniscalchi et al. · 2015 [cited by applicant]
US 20150101134A1 · Manz et al. · 2015 [cited by applicant]
US 20150124019A1 · Cruz-Uribe et al. · 2015 [cited by applicant]
US 20150140295A1 · Okamoto · 2015 [cited by applicant]
US 20150352792A1 · Kanada · 2015 [cited by applicant]
US 20160018404A1 · Iyer et al. · 2016 [cited by applicant]
US 20160023403A1 · Ramos · 2016 [cited by examiner]
US 20160101568A1 · Mizes et al. · 2016 [cited by applicant]
US 20160145455A1 · Otake · 2016 [cited by examiner]
US 20160157751A1 · Mahfouz · 2016 [cited by applicant]
US 20160167301A1 · Cole et al. · 2016 [cited by applicant]
US 20160185044A1 · Leonard et al. · 2016 [cited by applicant]
US 20160209319A1 · Adalsteinsson et al. · 2016 [cited by applicant]
US 20160249836A1 · Gulati et al. · 2016 [cited by applicant]
US 20160320771A1 · Huang · 2016 [cited by applicant]
US 20160347005A1 · Miller · 2016 [cited by applicant]
US 20170021455A1 · Dallarosa et al. · 2017 [cited by applicant]
US 20170050374A1 · Minardi et al. · 2017 [cited by applicant]
US 20170078524A1 · Tajima et al. · 2017 [cited by applicant]
US 20170087766A1 · Chung et al. · 2017 [cited by applicant]
US 20170106604A1 · Dikovsky et al. · 2017 [cited by applicant]
US 20170120337A1 · Kanko et al. · 2017 [cited by applicant]
US 20170125165A1 · Prest · 2017 [cited by applicant]
US 20170132355A1 · Vasquez et al. · 2017 [cited by applicant]
US 20170143494A1 · Mahfouz · 2017 [cited by applicant]
US 20170203515A1 · Bennett et al. · 2017 [cited by applicant]
US 20170217103A1 · Babaei et al. · 2017 [cited by applicant]
US 20170235293A1 · Shapiro et al. · 2017 [cited by applicant]
US 20170348903A1 · Renn · 2017 [cited by examiner]
US 20170355147A1 · Buller et al. · 2017 [cited by applicant]
US 20170372480A1 · Anand et al. · 2017 [cited by applicant]
US 20180017501A1 · Trenholm et al. · 2018 [cited by applicant]
US 20180036964A1 · DehghanNiri et al. · 2018 [cited by applicant]
US 20180056288A1 · Abate et al. · 2018 [cited by applicant]
US 20180056582A1 · Matusik et al. · 2018 [cited by applicant]
US 20180071984A1 · Lee et al. · 2018 [cited by applicant]
US 20180095450A1 · Lappas et al. · 2018 [cited by applicant]
US 20180099333A1 · DehghanNiri et al. · 2018 [cited by applicant]
US 20180143147A1 · Milner et al. · 2018 [cited by applicant]
US 20180154580A1 · Mark · 2018 [cited by applicant]
US 20180169953A1 · Matusik et al. · 2018 [cited by applicant]
US 20180194066A1 · Ramos et al. · 2018 [cited by applicant]
US 20180273657A1 · Wang et al. · 2018 [cited by applicant]
US 20180275636A1 · Zhao et al. · 2018 [cited by applicant]
US 20180281067A1 · Small et al. · 2018 [cited by applicant]
US 20180297113A1 · Preston et al. · 2018 [cited by applicant]
US 20180304540A1 · Tobia et al. · 2018 [cited by applicant]
US 20180304549A1 · Safai et al. · 2018 [cited by applicant]
US 20180311893A1 · Choi et al. · 2018 [cited by applicant]
US 20180320006A1 · Lee et al. · 2018 [cited by applicant]
US 20180341248A1 · Mehr et al. · 2018 [cited by applicant]
US 20180348492A1 · Pavlov et al. · 2018 [cited by applicant]
US 20180361668A1 · Kim et al. · 2018 [cited by applicant]
US 20190056717A1 · Kothari et al. · 2019 [cited by applicant]
US 20190077921A1 · Eckel · 2019 [cited by applicant]
US 20190118300A1 · Penny et al. · 2019 [cited by applicant]
US 20190230248A1 · Mizes et al. · 2019 [cited by applicant]
US 20190270254A1 · Mark et al. · 2019 [cited by applicant]
US 20190271966A1 · Coffman et al. · 2019 [cited by applicant]
US 20190283329A1 · Lensgraf et al. · 2019 [cited by applicant]
US 20190322031A1 · Kritchman · 2019 [cited by applicant]
US 20190329322A1 · Preston et al. · 2019 [cited by applicant]
US 20190346830A1 · de Souza Borges Ferreira et al. · 2019 [cited by applicant]
US 20190353767A1 · Eberspach et al. · 2019 [cited by applicant]
US 20190389123A1 · Parker et al. · 2019 [cited by applicant]
US 20200004225A1 · Buller et al. · 2020 [cited by applicant]
US 20200122388A1 · Van Esbroeck et al. · 2020 [cited by applicant]
US 20200143006A1 · Matusik et al. · 2020 [cited by applicant]
US 20200147888A1 · Ramos et al. · 2020 [cited by applicant]
US 20200215761A1 · Chen et al. · 2020 [cited by applicant]
US 20200223143A1 · Gurdiel Gonzalez et al. · 2020 [cited by applicant]
US 20200247063A1 · Pinskiy et al. · 2020 [cited by applicant]
US 20200353684A1 · Dudley et al. · 2020 [cited by applicant]
US 20200399411A1 · Shpayzer et al. · 2020 [cited by applicant]
US 20210362225A1 · Yun et al. · 2021 [cited by applicant]
CN 102232187A · 2011 [cited by applicant]
EP 2186625B1 · 2016 [cited by applicant]
EP 3459716A1 · 2019 [cited by applicant]
EP 3527352A1 · 2019 [cited by applicant]
EP 3810401B1 · 2022 [cited by applicant]
JP 2009534501A · 2009 [cited by applicant]
JP 2011212862A · 2011 [cited by applicant]
JP 2012509471A · 2012 [cited by applicant]
JP 2014098555A · 2014 [cited by applicant]
JP 2014136311A · 2014 [cited by applicant]
JP 2015229349A · 2015 [cited by applicant]
JP 2016074210A · 2016 [cited by applicant]
JP 2016533925A · 2016 [cited by applicant]
JP 2017114110A · 2017 [cited by applicant]
JP 6220476B1 · 2017 [cited by applicant]
JP 2018051969A · 2018 [cited by applicant]
JP 2018103488A · 2018 [cited by applicant]
JP 2018127007A · 2018 [cited by applicant]
JP 2018533657A · 2018 [cited by applicant]
JP 2018200304A · 2018 [cited by applicant]
JP 2021517525A · 2021 [cited by applicant]
KR 101567281B1 · 2015 [cited by applicant]
KR 20180067961A · 2018 [cited by applicant]
WO 9845141A2 · 1998 [cited by applicant]
WO 2003026876A2 · 2003 [cited by applicant]
WO 2015174867A1 · 2015 [cited by applicant]
WO 2017066077A1 · 2017 [cited by applicant]
WO 2018080397A1 · 2018 [cited by applicant]
WO 2018147186A1 · 2018 [cited by applicant]
WO 2018192662A1 · 2018 [cited by applicant]
WO 2018197376A1 · 2018 [cited by applicant]
WO 2018209438A1 · 2018 [cited by applicant]
WO 2018217903A1 · 2018 [cited by applicant]
WO 2019070644A2 · 2019 [cited by applicant]
WO 2019125970A1 · 2019 [cited by applicant]
WO 2020100022A1 · 2020 [cited by applicant]
WO 2020123479A1 · 2020 [cited by applicant]
WO 2020146490A1 · 2020 [cited by applicant]
WO 2020145982A1 · 2020 [cited by applicant]
WO 2020231962A1 · 2020 [cited by applicant]
WO 2020264314A1 · 2020 [cited by applicant]
WO 2021071481A1 · 2021 [cited by applicant]
Kulik, Eduard A., and Patrick Calahan. “Laser profilometry of polymeric materials.” Cells and Materials 7, No. 2 (1997): 3. [cited by applicant]
Alarousu, Erkki, Ahmed AlSaggaf, and Ghassan E. Jabbour. “Online monitoring of printed electronics by spectral-domain optical coherence tomography.” Scientific reports 3 (2013): 1562. [cited by applicant]
Daniel Markl et al: “Automated pharmaceutical tablet coating layer evaluation of optical coherence tomography mages”, Measurement Science and Technology, IOP, Bristol, GB, vol. 26, No. 3, Feb. 2, 2015 (Feb. 2, 2015), p.… [cited by applicant]
Daniel Markl et al: “In-line quality control of moving objects by means of spectral-domain OCT”, Optics and Lasers in Engineering, vol. 59, Aug. 1, 2014 (Aug. 1, 2014), pp. 1-10, XP055671920, Amsterdam, NL ISSN: 0143-81… [cited by applicant]
Fischer, Björn, Christian Wolf, and Thomas Härtling. “Large field optical tomography system.” In Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2013, vol. 8693, p. 86930P. International Society fo… [cited by applicant]
Huo, Tiancheng, Chengming Wang, Xiao Zhang, Tianyuan Chen, Wenchao Liao, Wenxin Zhang, Shengnan Ai, Jui-Cheng Hsieh, and Ping Xue. “Ultrahigh-speed optical coherence tomography utilizing all-optical 40 MHz swept-source.… [cited by applicant]
Klein, Thomas, and Robert Huber. “High-speed OCT light sources and systems.” Biomedical optics express 8, No. 2 (2017): 828-859. [cited by applicant]
Moon, Sucbei, and Dug Young Kim. “Ultra-high-speed optical coherence tomography with a stretched pulse supercontinuum source.” Optics Express 14, No. 24 (2006): 11575-11584. [cited by applicant]
Park, Yongwoo, Tae-Jung Ahn, Jean-Claude Kieffer, and Jose Azana. “Optical frequency domain reflectometry based on real-time Fourier transformation.” Optics express 15, No. 8 (2007): 4597-4616. [cited by applicant]
Wieser, Wolfgang, Benjamin R. Biedermann, Thomas Klein, Christoph M. Eigenwillig, and Robert Huber. “Multi-megahertz OCT: High quality 3D imaging at 20 million A-scans and 4.5 GVoxels per second.” Optics express 18, No.… [cited by applicant]
Ku, Jingjiang, Xiaoming Wei, Luoqin Yu, Chi Zhang, Jianbing Xu, K. K. Y. Wong, and Kevin K. Tsia. “Performance of megahertz amplified optical time-stretch optical coherence tomography (AOT-OCT).” Optics express 22, No. … [cited by applicant]
Zhou, Chao, Aneesh Alex, Janarthanan Rasakanthan, and Yutao Ma. “Space-division multiplexing optical coherence tomography.” Optics express 21, No. 16 (2013): 19219-19227. [cited by applicant]
Blanken, Lennart, Robin de Rozario, Jurgen van Zundert, Sjirk Koekebakker, Maarten Steinbuch, and Tom Oomen. “Advanced feedforward and learning control for mechatronic systems.” In Proc. 3rd DSPE Conf. Prec. Mech, pp. 7… [cited by applicant]
Blanken, Lennart. “Learning and repetitive control for complex systems: with application to large format printers.” (2019). [cited by applicant]
Oomen, Tom. “Advanced motion control for next-generation precision mechatronics: Challenges for control, dentification, and learning.” In IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimizati… [cited by applicant]
Sitthi-Amorn, Pitchaya, Javier E. Ramos, Yuwang Wangy, Joyce Kwan, Justin Lan, Wenshou Wang, and Wojciech Matusik. “MultiFab: a machine vision assisted platform for multi-material 3D printing.” ACM Transactions on Graph… [cited by applicant]
Qi, X.; Chen, G.; Li, Y.; Cheng, X.; and Li, C., “Applying Neural-Network Based Machine Learning to Addirive Manufacturing: Current Applications, Challenges, and Future Perspectives”, Jul. 29, 2018, Engineering 5 (2019)… [cited by applicant]
Debroy, T.; Wei, H.L.; Zuback, J.S.; Muhkerjee, T.; Elmer, J.W.; Milewski, J.O.; Beese, A.M.; Wilson-Heid, A.; Ded, A.; and Zhang, W., “Additive manufacturing of metallic components—Process, structure and properties”, J… [cited by applicant]
Daniel Markl et al: “Automated pharmaceutical tablet coating layer evaluation of optical coherence tomography images”, Measurement Science and Technology, Iop, Bristol, GB, vol. 26, No. 3, Feb. 2, 2015 (Feb. 2, 2015), p… [cited by applicant]
Daniel Markl et al: “In-line quality control of moving objects by means of spectral-domain OCT”, Optics and Lasers in Engineering, vol. 59, Aug. 1, 2014 (Aug. 1, 2014), pp. 1-10, XP055671920, Amsterdam, NL. [cited by applicant]
Piovarci, Michal, Michael Foshey, Timothy Erps, Jie Xu, Vahid Babaei, Piotr Didyk, Wojciech Matusik, Szymon Rusinkiewicz, and Bernd Bickel. “Closed-Loop Control of Additive Manufacturing via Reinforcement Learning.” (20… [cited by applicant]
Yu C, Jiang J. A Perspective on Using Machine Learning in 3D Bioprinting. Int J Bioprint. Jan. 24, 2020;6(1):253. doi: 10.18063/ijb.v6i1.253. [cited by applicant]
Goh, G.D., Sing, S.L. & Yeong, W.Y. A review on machine learning in 3D printing: applications, potential, and challenges. Artif Intell Rev 54, 63-94 (2021). https://doi.org/10.1007/s10462-020-09876-9. [cited by applicant]
Optimal shape morphing control of 4D printed shape memory polymer based on reinforcement learning Robotics and Computer-Integrated Manufacturing (IF5.666), Pub Date : Jul. 17, 2021, DOI: 10.1016/j.rcim.2021.102209. [cited by applicant]
Zhao, Xiaozhou, Julia A. Bennell, Tolga Bekta?, and Kath Dowsland. “A comparative review of 3D container loading algorithms.” International Transactions in Operational Research 23, No. 1-2 (2016): 287-320. [cited by applicant]