Thermal Monitoring for Metallic Additive Manufacturing Multi-Beads Multi-Layers Parts
 
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1
GeM - UMR CNRS 6183, Centrale Nantes, France
 
2
Additive Manufacturing Group, Joint Laboratory of Marine Technology (JLMT) Centrale Nantes - Naval Group, France
 
3
GeM - UMR CNSR 6183, Centrale Nantes, France
 
4
Naval Group Research, Technocampus Ocean, France
 
 
Submission date: 2021-04-19
 
 
Final revision date: 2021-06-18
 
 
Acceptance date: 2021-06-18
 
 
Online publication date: 2021-07-19
 
 
Publication date: 2021-09-30
 
 
Corresponding author
Matthieu Rauch   

GeM - UMR CNRS 6183, Centrale Nantes, France
 
 
Journal of Machine Engineering 2021;21(3):92-100
 
KEYWORDS
TOPICS
ABSTRACT
Among Metallic Additive Manufacturing processes, Directed Energy Deposition (DED) processes are very promising for the Industry but still need to improve their reliability. Thermal behavior is a critical aspect for which uncontrolled phenomena can lead to part failure. Some thermal monitoring and closed-loop control methods have been developed to observe and regulate the heating of the processed part. However, these methods rely on local measures, thus provide partial information of thermal fields in the whole part volume. This paper proposes a method that combines diverse data to compute online a process indicator that is meaningful for the thermal state of the whole part, and hence for the control of the manufacturing of multi-beads multi-layer parts. A simulation-based model using thermal partial data is proposed. An online monitoring experiment is proposed for validation of the model. Relevance of the control method to ensure mechanical properties of the part is then tested.
 
REFERENCES (16)
1.
DING D., PAN Z., CUIURI D., LI H., 2015, Wire-Feed Additive Manufacturing of Metal Components: Technologies, Developments and Future Interests, Int. J. Adv. Manuf. Technol., 81, 465–481.
 
2.
KERNINON J., MOGNOL P., HASCOET J.-Y., LEGONIDEC C., 2008, Effect of Path Strategies on Metallic Parts Manufactured by Additive Process, Solid Freeform Fabrication Symposium, 352–361.
 
3.
VENTURINI G., MONTEVECCHI F., SCIPPA A., CAMPATELLI G., 2016, Optimization of WAAM Deposition Patterns for T-crossing Features, Procedia CIRP, 55, 95–100.
 
4.
BANDYOPADHYAY A., TRAXEL K. D., 2018, Invited Review Article: Metal-Additive Manufacturing—Modelling Strategies for Application-Optimized Designs, Additive manufacturing, 22, 758–774.
 
5.
DENLINGER E.R., HEIGEL J.C., MICHALERIS P., PALMER T.A., 2015, Effect of Inter-Layer Dwell Time on Distortion and Residual Stress in Additive Manufacturing of Titanium and Nickel Alloys, Journal of Materials Processing Technology, 215, 123–131.
 
6.
GENG H., LI, J., XIONG J., LIN X., 2017, Optimisation of Interpass Temperature and Heat Input for Wire and Arc Additive Manufacturing 5A06 Aluminium Alloy, Science and Technology of Welding and Joining, 22, 472–483.
 
7.
MAETZ J.Y., 2014, Évolution de la Microstructure d’un Acier Inoxydable Lean Duplex Lors du Vieillissement, PhD thesis, INSA Lyon.
 
8.
WU B., PAN Z., DING D., CUIURI D., LI H., FEI Z., 2018, The Effects of Forced Interpass Cooling on the Material Properties of Wire Arc Additively Manufactured Ti6Al4V alloy, Journal of Materials Processing Technology, 258, 97–105.
 
9.
DING J., et al., 2011, Thermo-Mechanical Analysis of Wire and Arc Additive Layer Manufacturing Process on Large Multi-Layer Parts, Computational Materials Science, 50, 3315–3322.
 
10.
ZHOU X., ZHANG H., WANG G., BAI X., 2017, Three-Dimensional Numerical Simulation of Arc and Metal Transport in Arc Welding Based Additive Manufacturing, Int. J. of Heat and Mass Transfer, 103, 521–537.
 
11.
HU D., KOVACEVIC R., 2003, Sensing, Modeling and Control for laser-Based Additive Manufacturing, International Journal of Machine Tools and Manufacture, 43, 51–60.
 
12.
DONGQING Y., WANG G., ZHANG G., 2012, Thermal Analysis for Single-Pass Multi-Layer GMAW Based Additive Manufacturing Using Infrared Thermography, Journal of Materials Processing Technology, 244, 215 24.
 
13.
FARSHIDIANFAR M.H., KHAJEPOUR A., GERLICH A., 2016, Real-Time Control of Microstructure in Laser Additive Manufacturing, International Journal of Advanced Manufacturing Technology, 82/5–8, 1173–1186.
 
14.
CHEN Z., GUO X., SHI J., 2020, Hardness Prediction and Verification Based on Key Temperature Features During the Directed Energy Deposition Process, International Journal of Precision Engineering and Manufacturing - Green Technology, 8, 453–469.
 
15.
CHABOT A., RAUCH M., HASCOËT J. Y., 2019, Towards a Multi-Sensor Monitoring Methodology for AM Metallic Processes, Welding in the World, 63/3, 759–769.
 
16.
KARNATI S., MATTA N., SPARKS T., LIOU F., 2013, Vision-Based Process Monitoring for Laser Metal Deposition Processes, 24th International Solid Freeform Fabrication Symposium, Austin, TX.
 
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