研究目的
Investigating the influences of process conditions on the stability of sensor-controlled robot-based laser metal deposition.
研究成果
The study concludes that for stable measurement conditions during the LMD process, specific guidelines must be followed, including the use of a protection shield, sandblasted baseplate, and consideration of wavelength and temperature effects on sensor accuracy. Future work will focus on improving sensor design and decoupling components via active cooling.
研究不足
The sensor-based strategy is influenced by environmental and process temperature-dependent effects, which decrease measurement accuracy. The adaptive strategy requires process interruption, increasing build time and potentially causing connection defects due to cooling.
1：Experimental Design and Method Selection:
The study compares two stabilization strategies for the LMD process: adaptive stabilization and sensor-based stabilization. The adaptive strategy involves manual adjustment of the processing head's pose, while the sensor-based strategy uses a structured light sensor for real-time adjustments.
2：Sample Selection and Data Sources:
Test specimens were prepared with varying surface conditions (sandblasting, grinding, polishing, milling) to investigate the impact on sensor accuracy. Data was captured during the generation of a turbine blade with 400 seconds process time.
3：List of Experimental Equipment and Materials:
The setup includes an industrial robot-guided processing head, a structured light sensor (comprising a line projecting laser diode, a CMOS matrix with an objective lens, and a processing unit), and a shielding chamber for inert gas atmosphere.
4：Experimental Procedures and Operational Workflow:
The sensor is installed above the shielding chamber with an additional protection shield. The process involves measuring layer height with the sensor, adjusting the processing head's position based on sensor data, and comparing the outcomes of both stabilization strategies.
5：Data Analysis Methods:
The study analyzes the impact of surface conditions, radiation emission, and heat emission on sensor accuracy. It also evaluates the effectiveness of both stabilization strategies in maintaining process stability.
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
