Sawtooth scanning strategy for additive manufacturing
Source abstract
Abstract
Purpose This study aims to improve the acceleration in the additive manufacturing (AM) process. AM tools, such as extrusion heads, jets, electric arcs, lasers and electron beams (EB), experience negligible forces. However, their speeds are limited by the positioning systems. In addition, a thin tool must travel several kilometers in tiny motions with several turns while realizing the AM part. Hence, acceleration is a more significant limiting factor than the velocity or precision for all except EB. Design/methodology/approach The sawtooth (ST) scanning strategy presented in this paper minimizes the time by combining three motion features: zigzag scan, 45º or 135º rotation for successive layers in G00 to avoid the CNC interpolation, and modifying these movements along 45º or 135º into sawtooth to halve the turns. Findings Sawtooth effectiveness is tested using an in-house developed Sand AM (SaAM) apparatus based on the laser–powder bed fusion AM technique. For a simple rectangle layer, the sawtooth achieved a path length reduction of 0.19%–1.49% and reduced the overall time by 3.508–4.889 times, proving that sawtooth uses increased acceleration more effectively than the other three scans. The complex layer study reduced calculated time by 69.80%–139.96% and manufacturing time by 47.35%–86.85%. Sawtooth samples also exhibited less dimensional variation (0.88%) than zigzag 45° (12.94%) along the build direction. Research limitations/implications Sawtooth is limited to flying optics AM process. Originality/value Development of scanning strategy for flying optics AM process to reduce the warpage by improving the acceleration.
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Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Additive Manufacturing and 3D Printing Technologies · Laser Material Processing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (66)
Show source-provided references
1. Optimization of process parameters for reducing warpage in selected laser sintering of polymer parts10.1016/j.addma.2017.10.018 ↗
2. Tailoring the superelastic properties of an additively manufactured Cu–Al–Mn shape memory alloy via adjusting the scanning strategy10.1016/j.msea.2022.144412 ↗
3. Scanning strategies and spacing effect on laser fusion of H13 tool steel powder using high power Nd: YAG pulsed laser10.1080/00207540500168279 ↗
4. Domain decomposition and space filling curves in toolpath planning and generation10.26153/tsw/608 ↗
5. A time-saving and cost-effective method to process alloys by laser powder bed fusion10.1016/j.matdes.2019.107949 ↗
6. The effect of scanning strategies on FeCrAl nuclear Thin-Wall cladding manufacturing accuracy by laser powder bed fusion10.3390/cryst12091197 ↗
7. Automated torch path planning using polygon subdivision for solid freeform fabrication based on welding10.1016/S0278-6125(04)80040-2 ↗
8. Skeleton-based perpendicularly scanning: a new scanning strategy for additive manufacturing, modeling and optimization10.1007/s40964-021-00197-z ↗
9. The influence of laser parameters and scanning strategies on the mechanical properties of a stochastic porous material10.1016/j.matdes.2017.06.041 ↗
10. On the computational geometry of pocket machining10.1007/3-540-54103-9 ↗
11. Effect of scanning strategy on the anisotropy in microstructure and properties of Cu-Cr-Zr alloy manufactured by laser powder bed fusion10.1016/j.jallcom.2022.165957 ↗
12. Imperfections formation in thin layers of NiTi triply periodic minimal surface lattices fabricated using laser powder bed fusion10.3390/ma15227950 ↗
13. International organization for standardization, ISO 6983-1:2009, numerical control of machines—program format and definition of address words, part 1
14. On the effect of scanning strategies in the selective laser melting process10.1080/17452751003688368 ↗
15. A hybrid and adaptive tool-path generation approach of rapid prototyping and manufacturing for biomedical models10.1016/j.compind.2012.12.003 ↗
16. Selective laser sintered food: a unit cell approach to design mechanical properties10.1016/j.jfoodeng.2022.111183 ↗
17. Optimal motion planning for deposition in layered manufacturing10.1115/DETC98/CIE-5699 ↗
18. Optimal space filling for additive manufacturing10.1108/RPJ-03-2015-0034 ↗
19. Challenges in path planning of high energy density beams for additive manufacturing10.1088/1757-899X/759/1/012012 ↗
20. Controlling mechanical properties of additively manufactured hastelloy X by altering solidification pattern during laser powder-bed fusion10.1016/j.msea.2019.138081 ↗
21. 201910.1201/9780429114243 ↗
22. Chapter 5: interpolation
23. On the speed and acceleration of electron beams triggering interplanetary type III radio bursts10.1051/0004-6361/201425308 ↗
24. Fractal raster tool paths for layered manufacturing of porous objects10.1080/17452750802688215 ↗
25. Scanning strategy induced cracking and anisotropic weakening in grain texture of additively manufactured superalloys10.1016/j.addma.2022.102660 ↗
26. Numerical investigation of novel process planning in the polymeric powder bed fusion10.1016/j.jmapro.2021.04.060 ↗
27. An optimized scanning strategy to mitigate excessive heat accumulation caused by short scanning lines in laser powder bed fusion process10.1016/j.addma.2022.103256 ↗
28. Effect of scanning strategies on the microstructure and mechanical properties of Inconel 718 alloy fabricated by laser powder bed fusion10.1002/adem.202200492 ↗
29. Fabricating the steam turbine blade by direct laser forming10.1080/10426914.2011.560225 ↗
30. Study on the microstructure, mechanical property and residual stress of SLM inconel-718 alloy manufactured by differing island scanning strategy10.1016/j.optlastec.2015.07.009 ↗
31. Scanning strategies in the PBF process: a critical review10.1115/IMECE2020-24589 ↗
32. Texture of inclined up-facing surfaces in laser powder bed fusion of metals10.1016/j.addma.2021.101970 ↗
33. Laser powder bed fusion process parameters’ optimization for fabrication of dense in 62510.3390/ma15165777 ↗
34. Tool-path planning for direction-parallel area milling10.1016/S0010-4485(99)00080-9 ↗
35. NC machining of arbitrarily shaped pockets10.1016/0010-4485(78)90141-0 ↗
36. The effect of laser scanning strategies on the microstructure, texture and crystallography of grains exhibiting hot cracks in additively manufactured hastelloy X10.1016/j.mechmat.2021.103816 ↗
37. Study on laser powder bed fusion of nickel-base alloy of G-surface structure: scanning strategy, properties and compression properties10.1038/s41598-021-86213-2 ↗
38. Solidification pattern, microstructure and texture development in laser powder bed fusion (LPBF) of Al10SiMg alloy10.1016/j.matchar.2018.08.025 ↗
39. The optimal zigzag direction for filling a two‐dimensional region10.1108/13552540110410431 ↗
40. Intelligent scan sequence optimization for uniform temperature distribution in laser powder bed fusion using a control theoretic approach10.1016/j.ifacol.2021.11.222 ↗
41. SmartScan: an intelligent scanning approach for uniform thermal distribution, reduced residual stresses and deformations in PBF additive manufacturing10.1016/j.addma.2022.102643 ↗
42. Scanlab GmbH (2023), “Excelli SCAN series”, available at: www.scanlab.de/en/products/scan-systems/excelliscan/excelliscan-14 (accessed 4 October 2023).
43. 1994
44. Compound scan mode developed from subarea and contour scan mode for selective laser sintering10.1016/j.ijmachtools.2006.08.013 ↗
45. Combination of scanning strategies and optimization experiments for laser beam powder bed fusion of Ti-6Al-4V titanium alloys10.3390/app12136653 ↗
46. Effect of energy input on the UHMWPE fabricating process by selective laser sintering10.1108/RPJ-09-2015-0119 ↗
47. An algorithm for reducing tool retractions in zigzag pocket machining10.1016/S0010-4485(97)00064-X ↗
48. The dimensional accuracy of Thin-Walled parts manufactured by laser-powder bed fusion process10.3390/jmmp4030091 ↗
49. Laser sintering and invalidating composite scan for improving tensile strength and accuracy of SLS parts10.1016/j.jmapro.2020.04.056 ↗
50. Tool path optimization in layered manufacturing10.1080/07408170208928874 ↗
51. A look-ahead and adaptive speed control algorithm for high-speed CNC equipment10.1007/s00170-012-3924-7 ↗
52. Analytical modeling of temperature distribution in laser powder bed fusion with different scan strategies10.1016/j.optlastec.2022.108708 ↗
53. Laser sintering of silica sand - mechanism and application to sand casting mould10.1007/s00170-002-1424-x ↗
54. Time-optimal scan path planning based on analysis of sliced geometry
55. Microstructural and mechanical aspects of AlSi7Mg0.6 alloy related to scanning strategies in L-PBF10.1007/s00170-022-09127-x ↗
56. Fractal scanning path generation and control system for selective laser sintering (SLS)10.1016/S0890-6955(02)00212-2 ↗
57. Equidistant path generation for improving scanning efficiency in layered manufacturing10.1108/13552540210413284 ↗
58. Anti-corrosion superhydrophobic surface of LPBF- NiTi alloy fabricated by nanosecond laser machining10.1016/j.optlastec.2022.108858 ↗
59. Laser path planning and power control strategies for powder bed fusion systems
60. Implementation of advanced laser control strategies for powder bed fusion systems10.1016/j.promfg.2018.07.112 ↗
61. A look-ahead velocity blending model for high speed CNC machining of small line blocks10.1109/ICICTA.2011.595 ↗
62. Microstructure and fatigue behavior of laser-powder bed fusion austenitic stainless steel10.1016/j.jmst.2019.08.047 ↗
63. The influence of scanning pattern on the part properties in powder bed fusion processes: an experimental study10.1016/j.procir.2016.11.163 ↗
64. Scanning strategies effect on temperature, residual stress and deformation by multi-laser beam powder bed fusion manufacturing10.1016/j.addma.2020.101507 ↗
65. Prediction and optimization of dimensional accuracy of inclined structures fabricated by laser powder bed fusion10.1016/j.jmapro.2022.06.078 ↗
66. An improved medial axis path generation algorithm for selective laser melting10.1108/RPJ-04-2019-0109 ↗