Search Phrases[edit | edit source]
- 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 | edit source]
"Vision based error detection for 3D printing processes"[edit | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- 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 | edit source]
- LulzBot mini 3D printer
- Raspberry Pi camera
- a camera is in front of printer
- add a camera to Octoprint
References[edit | edit source]
- Baumann, Felix, and Dieter Roller. "Vision based error detection for 3D printing processes." MATEC Web of Conferences. Vol. 59. EDP Sciences, 2016.
- 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.
- 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.
- Straub, Jeremy. "Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis." Machines 3.2 (2015): 55-71.
- 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.
- Faes, Matthias, et al. "Process monitoring of extrusion based 3D printing via laser scanning." PMI 2014 Conference Proceedings. Vol. 6. 2014.
- 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.
- Kleszczynski, Stefan, et al. "Improving process stability of laser beam melting systems." Proceedings of the Frauenhofer Direct Digital Manufacturing Conference. 2014.
- 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.
- Kleszczynski, Stefan, et al. "Error detection in laser beam melting systems by high resolution imaging." Proceedings of the Solid Freeform Fabrication Symposium. 2012.
- http://www.kupoos.com/video/q7oqOPzCHYE/adding-a-raspberry-pi-case-and-a-camera-to-your-lulzbot-mini/
