|
|
|
| Online Monitoring for Porosity Prediction in Directed Energy Deposition Processes |
| ZHANG Min, WANG Xingcheng, CHAN Yufei, CHEN Changjun |
| ( Laser Processing Research Center, School of Mechanical and Electric Engineering, Soochow University, Suzhou 215021, China ) |
|
|
|
|
Abstract With the rapid development of manufacturing industry, additive manufacturing (AM) technology has attracted more and more attention in the world. Additive manufacturing has been rapidly developed and widely used in aerospace, industrial machinery, automobile electronics and other fields. The biggest theoretical challenge of direct energy deposition (DED) technology at present is the lack of a deep understanding of the inherent relationship between the process-microstructure-performance, and the lack of an effective and cost-effective online monitoring process in the actual production process. Therefore, the repeatability, uniformity and reliability of the products manufactured by DED are difficult to meet the increasing production requirements of industry. This article introduces the DED in the process of heatphysical mechanism of the process. On the basis of summarizing the changes in temperature, molten pool size and molten pool morphology during the manufacturing process, summarizes the research of AM based on DED of online monitoring in the stomatal monitoring, and points out the existing problems and future development direction.
|
|
|
|
|
|
|
|
|
2020, 
