In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review
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- Type
- review
- Published
- 2021-09-01
- Cited by
- 350
- References
- 151
- Access
- Open access
- OpenAlex
- https://openalex.org/W3164503557
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:236242350
Keywords
Process (computing), Process control, Process engineering, Materials science, Reliability (semiconductor)
References
- Machine Learning Approaches to Manufacturing
- Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies
- Optical Sensor for real-time Monitoring of CO(2) Laser Welding Process.
- Quality control of laser- and powder bed-based Additive Manufacturing (AM) technologies
- Characterization of laser induced plasmas by optical emission spectroscopy: A review of experiments and methods
- Investigations of laser-sustained plasma and its role in laser nitriding of titanium
- Balling phenomena in direct laser sintering of stainless steel powder: Metallurgical mechanisms and control methods
- Process monitoring of additive manufacturing by using optical tomography
- Design of an Optical system for the In Situ Process Monitoring of Selective Laser Melting (SLM)
- Additive manufacturing in the spare parts supply chain
- Low Coherence Interferometry in Selective Laser Melting
- Selective laser melting of aluminium components
- Infrared normal spectral emissivity of Ti–6Al–4V alloy in the 500–1150 K temperature range
- On-line optical monitoring system for arc welding
- Real-time monitoring of laser hot-wire cladding of Inconel 625
- Temperature profile and imaging analysis of laser additive manufacturing of stainless steel
- Laser Additive Manufacturing and Bionics: Redefining Lightweight Design
- High Power Selective Laser Melting (HP SLM) of Aluminum Parts
- Spectral Line Broadening by Plasmas
- Selective laser melting process monitoring with high speed infra-red camera and pyrometer
Cited by
- Laser beam powder bed fusion of nitinol shape memory alloy (SMA)
- Additive Manufacturing of Bulk Metallic Glasses—Process, Challenges and Properties: A Review
- Applications of artificial intelligence and machine learning in metal additive manufacturing
- Mechanical Behavior of Laser Powder Bed Fusion Processed Inconel 625 Alloy
- A review on non-destructive evaluation and characterization of additively manufactured components
- SmartScan: An Intelligent Online Scan Sequence Optimization Approach for Uniform Thermal Distribution, Reduced Residual Stresses and Deformations in PBF Additive Manufacturing
- In Situ Monitoring of Powder Bed Fusion Homogeneity in Electron Beam Melting
- Grain boundary engineering during the laser powder bed fusion of TiC/316L stainless steel composites: New mechanism for forming TiC-induced special grain boundaries
- Defects and anomalies in powder bed fusion metal additive manufacturing
- Compression of Pulsed Infrared Thermography Data With Unsupervised Learning for Nondestructive Evaluation of Additively Manufactured Metals
- Anisotropic cellular structure and texture microstructure of 316L stainless steel fabricated by selective laser melting via rotation scanning strategy
- SmartScan: An Intelligent Scanning Approach for Uniform Thermal Distribution, Reduced Residual Stresses and Deformations in PBF Additive Manufacturing
- Comprehensive Investigation of Residual Stress in Selective Laser Melting Based on Cohesive Zone Model
- Effects of powder compression and laser re-melting on the microstructure and mechanical properties of additively manufactured parts in laser-powder bed fusion
- Detection of keyhole pore formations in laser powder-bed fusion using acoustic process monitoring measurements
- Angular dependence of coaxial and quasi-coaxial monitoring systems for process radiation analysis in laser materials processing
- A Novel Method for In-process Inspection of Lattice Structures via In-situ Layerwise Imaging
- A digital twin hierarchy for metal additive manufacturing
- A Review of In Situ Defect Detection and Monitoring Technologies in Selective Laser Melting
- Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements