Additive manufacturing (AM) is a popular technique which broadly exploited in rapid prototyping and fabricating components with complex geometries. To ensure the stability of AM process, it critical importance to obtain high-quality thermal images by using image processing techniques. In this paper, novel method put forward aim improve contrast ratio for segmentation. be specific, an image-enha...

The process of remote laser welding is simulated in this study to identify the keyhole-induced porosity generation mechanisms and keyhole. Three processes are discussed: power levels, laser-beam shaping configurations, keyhole process. simulation finding reveals that pore development caused by strong melt flow behind As verification, equivalent experimental test also carried out. According find...

Abstract Online video diagnostics was used in the process of laser metal deposition. The method short-time correlation applied to analyse fluctuations size molten pool. Power distributions cross breadth and length pool depending on intensity irradiation up 30 kW/cm 2 are obtained. intermittency parameters is associated with changes structure convective Marangoni flows melt during formation bead...

Abstract Splashes of high-temperature melt spreading over a water pool bottom can be reason for the formation zone where melt, and steam are mixed, providing conditions powerful explosions. The paper considers splashes arising from impact jet on surface melt. Numerical simulations performed in 3D formulation, using VOF method an improved phase change model. evolution following is demonstrated, ...

Lack of fusion porosity is a typical defect laser powder bed processes generated by wrong selection process parameters that do not ensure proper overlapping melt pools. Melt pool dimensions and lack can be predicted using analytical models use as inputs material properties parameters. None these considers the variability in predicting porosity. In this work, Monte Carlo simulations are used to ...

Characterizing melt pool shape and geometry is essential in Metal Additive Manufacturing (MAM) to control the printing process, avoid defects. Predicting flaws based on process parameters powder material difficult due complex nature of MAM processes. Machine learning (ML) techniques can be useful connecting type pool. In this work, we introduced a comprehensive framework for benchmarking ML cha...

Laser powder bed fusion (LPBF) is an additive manufacturing technique that prints objects layer-by-layer by selectively melting powders using a focused laser. The mechanical properties of LPBF parts are affected processing parameters influence the flow within melt pool. Marangoni convection surface tension dependent mass transfer process from region lower to higher tension, influenced temperatu...