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3d printing error detection

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Search Phrases[edit]

  • Error Detection + 3D printing
  • Error Detection + 3D printing + fdm
  • Error Detection + 3D printing + fff
  • Error Detection + 3D printing + reprap
  • Error Detection + 3D printing + additive manufacturing
  • Error Detection + 3D printing + additive manufacturing + fdm
  • Error Detection + 3D printing + additive manufacturing + fff

Printing[edit]

"Vision based error detection for 3D printing processes"[edit]

  • PlayStation eye cam
  • web based: OpenCV, Python and GUI
  • Makerbot Replicator 2X
  • Three types of Error : 1) detachment 2) missing material flow 3) deformed object
  • height fixed print-head
  • only moving x and y axis
  • stand size 1x25x10 mm
  • Two different test object: 1) block 39x20x5 mm by printting 5 failed 2) triangular block by printting 6 failed
  • using the packages GUI Features, Core Operations, Imaging package and Video Analysis
  • algorithm details but they are not enough information to replicate


"Quality Assurance in Additive Manufacturing Through Mobile Computing"[edit]

  • using Makerbot M2 and samsung Galaxy Tab: Android App
  • testing only PLA black with Blue and gold print bed
  • pause hot end and take image
  • Two types of Error: 1) internal (not sticking to the print bed) 2) external (not sticking to the previous layer)
  • Techniques: 1) Image subtraction 2) Image searching
  • algorithm details but they are not enough information to replicate

"Augmented vision and interactive monitoring in 3D printing process"[edit]

  • Maker- Bot Replicator 2× printer
  • Fused Deposition Modelling technique
  • using camera and AR Wuzix glasses
  • augmented reality technique based on these steps: (1) image acquisition, (2) calibration, (3) tracking, (4) registration, (5) display.
  • using SURF algorithm
  • Not much details about algorithm
  • using AR-Viz code based on AR toolkit environment (open source)

"Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis"[edit]

  • to detect and characterize defects in 3D printed object
  • MakerBot Replicator 2 3D printer
  • Five Raspberry Pi camera units
  • Data was collected by stopping the printing process and resume
  • Image data from eight positions from each of five angles (for a total of 40 images)
  • detect two types of defects: 1) “dry printing” where filament is not applied 2) premature job termination

"Characterization of internal geometry / covered surface defects with a visible light sensing system"[edit]

  • provide overview
  • to assess the internal structures and external surface of complex objects
  • using a multicamera visible light 3D scanning system
  • formative scanning
  • summative scanning
  • using C# and the Dot Net Framework

"Process monitoring of extrusion-based 3D printing via laser scanning"[edit]

  • Extrusion based 3D Printing (E3DP)
  • a modular 2D laser triangulation scanner : compact size, achievable accuracy and the possibility of capturing geometrical

3D data.

  • a 2MP USB-microscope with an optical magnification of up to 400x
  • a 650 nm laser with a divagation angle of 0,7mrad
  • analyzed feedback signals
  • Test with different PLA and ABS color
  • measured ‘z-error’
  • Not much details about algorithm
  • Implementing and comparing the suggested strategies will be addressed in the future

"Robustness analysis of imaging system for inspection of laser beam melting systems"[edit]

  • laser beam melting
  • a high-resolution CCD camera
  • a tilt and shift lens
  • calibration images
  • camera is installed in front of the LBM system ( adjust in height, position, and distance from door)
  • to detect elevated region
  • be able rating of surface quality
  • normalized correlation-based template matching ( invariant brightness)


"Improving process stability of laser beam melting systems"[edit]

  • EOSINT M270 laser beam melting
  • a high-resolution CCD camera
  • camera is installed in front of the LBM system ( adjust in height and distance from the machine window)
  • warping the layer images to an orthographic view
  • LBM machine's laser (two orthogonally positioned LED line lights)
  • acceleration sensor system
  • segment elevated regions
  • proximity sensor
  • notify via email or SMS

"High resolution imaging for inspection of laser beam melting systems"[edit]

  • EOSINT M270 laser beam melting
  • a high-resolution CCD camera
  • a tilt and shift lens
  • to detect topological flaws and to inspect the surface quality of built layer
  • able to inspect the process result on a microscopic scale
  • a high resolution imaging system
  • calibration images
  • camera is installed in front of the LBM system ( adjust in height and distance from the machine window)
  • Two orthogonally positioned LED line lights
  • matt reflector
  • using OpenCV


"Error detection in laser beam melting systems by high resolution imaging"[edit]

  • EOSINT M270 laser beam melting
  • overview of typical process errors
  • a catalog of measures to reduce process breakdown
  • a monochrome CCD camera system
  • a tilt and shift lens


"human error detection "[edit]

  • LulzBot mini 3D printer
  • Raspberry Pi camera
  • a camera is in front of printer
  • add a camera to Octoprint

References[edit]

  1. Baumann, Felix, and Dieter Roller. "Vision based error detection for 3D printing processes." MATEC Web of Conferences. Vol. 59. EDP Sciences, 2016.
  2. Hurd, Sam, Carmen Camp, and Jules White. "Quality Assurance in Additive Manufacturing Through Mobile Computing." International Conference on Mobile Computing, Applications, and Services. Springer International Publishing, 2015.
  3. Ceruti, Alessandro, Alfredo Liverani, and Tiziano Bombardi. "Augmented vision and interactive monitoring in 3D printing process." International Journal on Interactive Design and Manufacturing (IJIDeM) (2016): 1-11.
  4. Straub, Jeremy. "Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis." Machines 3.2 (2015): 55-71.
  5. Straub, Jeremy. "Characterization of internal geometry/overed surface defects with a visible light sensing system." SPIE Commercial+ Scientific Sensing and Imaging. International Society for Optics and Photonics, 2016.
  6. Faes, Matthias, et al. "Process monitoring of extrusion based 3D printing via laser scanning." PMI 2014 Conference Proceedings. Vol. 6. 2014.
  7. zur Jacobsmühlen, Joschka, et al. "Robustness analysis of imaging system for inspection of laser beam melting systems." Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE, 2014.
  8. Kleszczynski, Stefan, et al. "Improving process stability of laser beam melting systems." Proceedings of the Frauenhofer Direct Digital Manufacturing Conference. 2014.
  9. zur Jacobsmühlen, Joschka, et al. "High resolution imaging for inspection of laser beam melting systems." 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2013.
  10. Kleszczynski, Stefan, et al. "Error detection in laser beam melting systems by high resolution imaging." Proceedings of the Solid Freeform Fabrication Symposium. 2012.
  11. http://www.kupoos.com/video/q7oqOPzCHYE/adding-a-raspberry-pi-case-and-a-camera-to-your-lulzbot-mini/