摘要
以ABB1200型石雕机器人加工汉白玉为例,对石雕机器人加工能耗进行建模和分析,探究其功耗特点。首先,基于田口法规划实验,采用Minitab非线性拟合建立磨削工艺参数与磨削比能的回归方程,构建以磨削加工工艺参数为变量,以最小磨削比能为优化目标的优化模型。然后,使用模拟退火算法计算最小磨削比能的工艺参数,通过实验数据和算法优化结果分析石雕机器人粗加工能耗特点。结果表明:去除同等体积的材料,磨削比能最小目标下的最优磨削加工参数的能耗比经验参数节约了38.4%。
Taking the machining processing of white marble using ABB1200 type stone carving robot as an example,the energy consumption characteristics were explored through modeling and analyzing of the energy consumption of stone carving robot processing.Firstly,based on the Taguchi method for planning experiments,using Minitab nonlinear fitting to establish a regression equation between grinding process parameters and grinding specific energy,an optimization model was constructed with grinding processing parameters as variables and the minimum grinding specific energy as the optimization objective.Then,the processing parameters of the lowest grinding specific energy was calculated using a simulated annealing algorithm,and the energy consumption characteristics of rough machining using stone carving robot were analyzed through experimental data and algorithm optimization results.The results show that to remove the same volume of materials,the energy consumption employing the optimal grinding parameters under the goal of minimizing grinding specific energy is reduced by 38.4%compared to that using the empirical parameters.
作者
黄吉祥
尹方辰
黄身桂
张舜德
顾立志
HUANG Jixiang;YIN Fangchen;HUANG Shengui;ZHANG Shunde;GU Lizhi(Institute of Manufacturing Engineering,Huaqiao University,Xiamen 361021,China;School of Mechanical and Electronic Engineering,Quanzhou University of Information Engineering,Quanzhou 362000,China)
出处
《华侨大学学报（自然科学版）》
CAS
2024年第4期471-477,共7页
Journal of Huaqiao University(Natural Science)
基金
福建省科技计划项目(2022H6029,2022H0018)
工业机器人与智能制造福建省高校工程研究中心开放课题(GYJQ2002)。
关键词
机器人石材雕刻
工艺参数
田口法
能量效率
模拟退火算法
robotic stone carving
processing parameters
Taguchi method
energy efficiency
simulated annealing algorithm
