A novel path planning methodology for extrusion-based additive manufacturing of thin-walled parts

2017 ◽  
Vol 30 (12) ◽  
pp. 1301-1315 ◽  
Author(s):  
Yuan Jin ◽  
Yong He ◽  
Jianke Du
Keyword(s):  
Additive Manufacturing ◽  
Path Planning ◽  
Thin Walled ◽  
Planning Methodology

scholarly journals DECOMPOSITION ALGORITHM FOR TOOL PATH PLANNING FOR WIRE-ARC ADDITIVE MANUFACTURING

2018 ◽  
Vol Vol.18 (No.1) ◽  
pp. 96-107 ◽  
Author(s):  
Lam NGUYEN ◽  
Johannes BUHL ◽  
Markus BAMBACH
Keyword(s):  
Additive Manufacturing ◽  
Path Planning ◽  
Computer Aided Design ◽  
Tool Path ◽  
Heuristic Method ◽  
Support Material ◽  
Build Time ◽  
Cad Models ◽  
Aided Design ◽  
Wire Arc Additive Manufacturing

Three-axis machines are limited in the production of geometrical features in powder-bed additive manufacturing processes. In case of overhangs, support material has to be added due to the nature of the process, which causes some disadvantages. Robot-based wire-arc additive manufacturing (WAAM) is able to fabricate overhangs without adding support material. Hence, build time, waste of material, and post-processing might be reduced considerably. In order to make full use of multi-axis advantages, slicing strategies are needed. To this end, the CAD (computer-aided design) model of the part to be built is first partitioned into sub-parts, and for each sub-part, an individual build direction is identified. Path planning for these sub-parts by slicing then enables to produce the parts. This study presents a heuristic method to deal with the decomposition of CAD models and build direction identification for sub-entities. The geometric data of two adjacent slices are analyzed to construct centroidal axes. These centroidal axes are used to navigate the slicing and building processes. A case study and experiments are presented to exemplify the algorithm.

scholarly journals Filling Path Planning and Polygon Operations for Wire Arc Additive Manufacturing Process

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jiansheng Zhang ◽  
Qiuyun Wang ◽  
Guiqian Xiao ◽  
Jie Zhou
Keyword(s):  
High Temperature ◽  
Additive Manufacturing ◽  
Path Planning ◽  
Attitude Control ◽  
Hot Forging ◽  
Outer Contour ◽  
Hot Forging Die ◽  
Forging Die ◽  
Wire Arc Additive Manufacturing ◽  
Filling Path

To improve the service life of hot forging die, the additive manufacturing algorithm and additive manufacturing device for die remanufacturing are developed. Firstly, a compound filling algorithm in which the inner zone is filled by linear scanning and the outer contour is filled by offsetting is developed in order to solve the problems encountered in filling path planning for wire arc additive manufacturing (WAAM) like staircase effect at marginal division, degenerated edge at outer contour, programming difficulty, and so forth. Meanwhile, the attitude control algorithm of welding gun is proposed to control the angle between welding gun and welding path so as to improve the welding forming quality. Secondly, the high-temperature and low-temperature wear resistances of Fe-based and Ni-based alloy are tested. The results show that Ni-based alloy has higher high-temperature wear resistance. Finally, a disabled crankshaft hot forging die is selected for application test and the results show that, using the techniques discussed in this paper, welding materials can be saved by more than 50% and machining cost can be saved by more than 60%. In addition, the surface of automatic-repaired die is smooth without oxidation, collapse, and other defects after forging 3000 times, which is much better than that of manual-repaired die.

scholarly journals A modular path planning solution for Wire + Arc Additive Manufacturing

2019 ◽  
Vol 60 ◽  
pp. 1-11 ◽  
Author(s):  
Florent Michel ◽  
Helen Lockett ◽  
Jialuo Ding ◽  
Filomeno Martina ◽  
Gianrocco Marinelli ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Path Planning ◽  
Wire Arc Additive Manufacturing

scholarly journals Inline measurement strategy for additive manufacturing

2018 ◽  
Vol 233 (5) ◽  
pp. 1402-1411 ◽  
Author(s):  
Matthias Bordron ◽  
Charyar Mehdi-Souzani ◽  
Olivier Bruneau
Keyword(s):  
Additive Manufacturing ◽  
Path Planning ◽  
Free Form ◽  
Elastic Model ◽  
Laser Sensor ◽  
Post Process ◽  
Working Volume ◽  
Inline Measurement ◽  
Cloud Of Points

Additive manufacturing takes a growing place in industry tanks to its ability to create free-form parts with internal complex shape. Yet, the quality of the final surfaces of the additive manufacturing parts is still a challenge since it doesn’t reach the required level for final use. To address this issue, it is necessary to measure the form and dimension deviation in order to plan post-process operations to be considerate. Moreover in a context of industry 4.0, this measurement step should be fully integrated into the manufacturing line as close as possible to the additive manufacturing process and post-process. We introduce in this article an inline measurement solution based on a robot combined with a laser sensor. Robot allows reaching most of the orientation and positions necessary to digitize complex parts in a short time. The use of robot for digitizing is already addressed but not for metrological applications. Robots are perfectly designed for velocity, ability and robustness but their poor positioning accuracy is not compatible with measuring requirements. The strategy adopted in this article is to provide an algorithm to generate path planning for digitizing additive manufacturing parts at a given quality of the resulting cloud of points. After a discussion about the geometric and elastic model of the robot to identify the one that answers the quality requirements, the performances of the robot are evaluated. Thus, several performances maps are introduced to characterize the behavior of the robot in its working volume. The qualification of the digitizing sensor is also performed to identify relation between digitizing parameters and the quality of final cloud of points. Using data resulting from the qualifications of sensor and robot and the parts CAD model, the algorithm allows generating path planning to ensure the final quality necessary to measure the shape deviation.

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