研究目的
To investigate the measurement of instantaneous temperatures in laser assisted additive manufacturing by thermal imagers, aiming to improve the accuracy of temperature measurements and understand the thermal history of parts during manufacturing.
研究成果
The study concluded that thermal imagers can be used for temperature measurements in PBF-AM operations, but their accuracy may not always be sufficient. A predictive model was developed to improve the accuracy of temperature measurements, showing good agreement with finite element analysis results. The model allows for the calculation of melt pool temperatures using an ordinary thermal imager.
研究不足
The study acknowledges limitations in the accuracy of thermal imagers for measuring high temperatures in small areas, such as the melt pool. The mathematical model and finite element analysis were used to address these limitations.
1：Experimental Design and Method Selection:
The study involved the development of a mathematical model supported by experimental data to predict melt pool temperatures. The model used average temperature and extrapolated measurement area approaches.
2：Sample Selection and Data Sources:
Samples were manufactured using Ti6Al4V powder materials with specific manufacturing parameters. Temperature distribution and changes were recorded using a thermal imager.
3：List of Experimental Equipment and Materials:
Optris PI 160 thermal camera, EOS M280 sintering/melting equipment, Ti6Al4V powder materials.
4：Experimental Procedures and Operational Workflow:
Samples were manufactured on three different manufacturing platforms with varying numbers of parts. Temperature data was recorded during manufacturing processes.
5：Data Analysis Methods:
A predictive model was developed to estimate melt pool temperatures, and finite element analysis was performed to verify the results.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
