Characterization of 3D printing output using an optical sensing system

This paper presents the experimental design and initial testing of a system to characterize the progress and performance of a 3D printer. The system is based on five Raspberry Pi single-board computers. It collects images of the 3D printed object, which are compared to an ideal model. The system, while suitable for printers of all sizes, can potentially be produced at a sufficiently low cost to allow its incorporation into consumer-grade printers. The efficacy and accuracy of this system is presented and discussed. The paper concludes with a discussion of the benefits of being able to characterize 3D printer performance.

[1]  Katharine Sanderson Make your own drugs with a 3D printer , 2012 .

[2]  H. A. M. Daanen,et al.  3D whole body scanners revisited , 2013, Displays.

[3]  Hale Kaynak,et al.  The relationship between total quality management: practices and their effects on firm performance , 2003 .

[4]  Peter Kühmstedt,et al.  Handheld 3D Scanning with Automatic Multi-view Registration Based on Optical and Inertial Pose Estimation , 2014 .

[5]  P. Azimi,et al.  Ultrafine particle emissions from desktop 3D printers , 2013 .

[6]  Brian Surgenor,et al.  Vision Based Fault Detection of Automated Assembly Equipment , 2011 .

[7]  H. Barrett,et al.  3D printing in X-ray and Gamma-Ray Imaging: A novel method for fabricating high-density imaging apertures. , 2011, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment.

[8]  Shenghui Zhao,et al.  Dense single-shot 3D scanning via stereoscopic fringe analysis , 2013, 2013 IEEE International Conference on Image Processing.

[9]  Jeremy Straub,et al.  Development of a Large, Low-Cost, Instant 3D Scanner , 2014 .

[10]  Jeremy Straub,et al.  Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis , 2015 .

[11]  M. Alexander,et al.  Desktop 3D printing of controlled release pharmaceutical bilayer tablets. , 2014, International journal of pharmaceutics.

[12]  J. Urry,et al.  3D, SF and the future , 2013 .

[13]  BowyerAdrian,et al.  3D Printing and Humanity's First Imperfect Replicator , 2014 .

[14]  Hein A.M. Daanen,et al.  Whole body scanners , 1998 .

[15]  Soon-Yong Park,et al.  A Fast and Dense 3D Scanning Technique Using Dual Pseudorandom Arrays and A Hole-filling Method , 2013 .

[16]  Yuan Cheng,et al.  Vision-Based Online Process Control in Manufacturing Applications , 2008, IEEE Transactions on Automation Science and Engineering.

[17]  R. M. Natal Jorge,et al.  Computational Vision and Medical Image Processing: VipIMAGE 2007 , 2007 .

[18]  Benjamin Kading,et al.  Characterization of a Large, Low-Cost 3D Scanner , 2015 .

[19]  Pierre Guyomarc'h,et al.  Quantification of Perspective‐Induced Shape Change of Clavicles at Radiography and 3D Scanning to Assist Human Identification , 2014, Journal of forensic sciences.

[20]  Naif Haddad,et al.  From Hand Survey to 3D Laser Scanning: A Discussion for Non-Technical Users of Heritage Documentation , 2013 .

[21]  Barry Berman,et al.  3D printing: the new industrial revolution , 2012, IEEE Engineering Management Review.

[22]  Jorge Vicente Lopes da Silva,et al.  3D Scanning Using RGBD Imaging Devices: A Survey , 2015 .

[23]  Mohsen A. Jafari,et al.  Online defect detection in layered manufacturing using process signature , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).