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黄吉祥
高级实验师
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黄吉祥,1989年,硕士,高级实验师,长期从事智能制造与高效精密加工、机器人加工等方向的研究工作,主持或参与国家级及省部级等10余项各类课题,发表相关学术论文10篇,授权发明专利3项,南安市科技特派员,多次担任机器人智能加工培训班指导老师和南安市石材行业职工技能竞赛五轴数控桥切项目裁判。

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Energy prediction and optimization for robotic stereoscopic statue processing

发布时间:2025-07-07
点击次数:
发表刊物:
Scientific reports
关键字:
Energy consumption in stone processing, Robotic rough machining energy consumption modelling, Optimization of robotic energy consumption, Feed speed dynamic programming
摘要:
Energy consumption has become one of the primary costs in the stone processing industry. Stereoscopic statue production, characterized by extensive material removal and prolonged cycles, consumes the most energy among stone products. Due to their high degrees of freedom, operational agility, precision, and broad scope, industrial robots are widely applied in stereoscopic statue processing. However, robotic processing of stereoscopic statues represents a quintessential highenergy-consuming process, especially during the rough machining phase, where energy consumption is particularly significant. Therefore, this paper proposes a method for predicting energy consumption during the rough machining phase of robotic stereoscopic statue processing and implementing energysaving optimization. Firstly, a prediction model for the robot’s body power is established by analyzing the energy consumption characteristics of the robot system. Subsequently, the spindle power of the robot is predicted based on the relationship between force and power variations during the grinding process. Finally, energy consumption optimization is achieved using the proposed feed-speed dynamic programming method based on genetic algorithms. Experimental results show that using the feed-speed dynamic programming method reduces energy consumption during rough machining by 16.9%, and processing time is shortened by 19.5%.
论文类型:
期刊论文
论文编号:
8544
学科门类:
工学
一级学科:
机械工程
文献类型:
J
卷号:
15
是否译文:
发表时间:
2025-03-12
收录刊物:
SCI
第一作者:
程旭辉
合写作者:
温聪伟,李毅豪,黄吉祥,黄身桂
通讯作者:
尹方辰