[1]黄吉祥,尹方辰,黄身桂,等.机器人石材雕刻粗加工能耗建模与优化分析[J].华侨大学学报(自然科学版),2024,45(4):471-477.[doi:10.11830/ISSN.1000-5013.202311024]
　HUANG Jixiang,YIN Fangchen,HUANG Shengui,et al.Modeling and Optimization Analysis of Energy Consumption in Rough Machining of Robotic Stone Carving[J].Journal of Huaqiao University(Natural Science),2024,45(4):471-477.[doi:10.11830/ISSN.1000-5013.202311024]
点击复制

机器人石材雕刻粗加工能耗建模与优化分析()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第45卷
期数:
2024年第4期
页码:
471-477
栏目:
出版日期:
2024-07-20

文章信息/Info

Title:
Modeling and Optimization Analysis of Energy Consumption in Rough Machining of Robotic Stone Carving
文章编号:
1000-5013(2024)04-0471-07
作者:
黄吉祥1;  尹方辰1;  黄身桂1;  张舜德2;  顾立志2
1. 华侨大学 制造工程研究院, 福建 厦门 361021;2. 泉州信息工程学院 机械与电气工程学院, 福建 泉州 362000
Author(s):
HUANG Jixiang1;  YIN Fangchen1;  HUANG Shengui1;  ZHANG Shunde2;  GU Lizhi2
1. Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China; 2. School of Mechanical and Electronic Engineering, Quanzhou University of Information Engineering, Quanzhou 362000, China
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
Keywords:
robotic stone carving;  processing parameters;  Taguchi method;  energy efficiency;  simulated annealing algorithm
分类号:
TG147;TG17
DOI:
10.11830/ISSN.1000-5013.202311024
文献标志码:
A
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%。
Abstract:
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.

参考文献/References:

[1] 孙卫星,田静.践行宜业尚品理念 推进绿色低碳发展: 《石材行业“十四五”发展规划纲要》简介及实施路径探讨[J].石材,2022(9):8-14.DOI:10.14030/j.cnki.scaa.2022.0143.
[2] 柯晶莹,王惠婷.惠安石雕石材产业集群的现状及对策研究: 基于惠安县洛阳石雕石材企业的问卷调查[J].宿州教育学院学报,2021,24(1):22-25.DOI:10.3969/j.issn.1009-8534.2021.01.006.
[3] 晏辉.发展加工石材机器人可行性与必要性[J].石材,2015(9):58-60.DOI:10.14030/j.cnki.scaa.2015.0228.
[4] 李丽,邓兴国,尚川博.面向能效的曲面数控加工刀具路径优化方法[J].机械工程学报,2017,53(11):184-194.DOI:10.3901/JME.2017.11.184.
[5] 邓朝晖,符亚辉,万林林,等.面向绿色高效制造的铣削工艺参数多目标优化[J].中国机械工程,2017,28(19):2365-2372.DOI:10.3969/j.issn.1004-132X.2017.19.015.
[6] 迟玉伦,范志辉,葛爱丽,等.面向绿色高表面质量制造的硬态车削工艺多目标参数优化[J].表面技术,2023,52(9):278-293.DOI:10.16490/j.cnki.issn.1001-3660.2023.09.024.
[7] 张华.绿色高效切削加工工艺优化及其智能专家系统研究[D].湘潭:湖南科技大学,2018.
[8] 武煜航.面向绿色制造的数控加工工艺参数多目标优化研究[D].武汉:武汉科技大学,2022.
[9] CAO Huajun,ZHOU Jin,JIANG Pei,et al.An integrated processing energy modeling and optimization of automated robotic polishing system[J].Robotics and Computer-Integrated Manufacturing,2020,65:101973.DOI:10.1016/j.rcim.2020.101973.
[10] HSIEN-I L,RAJA M,FAUZY S W.BN-LSTM-based energy consumption modeling approach for an industrial robot manipulator[J].Robotics and Computer-Integrated Manufacturing,2023,85:102629.DOI:10.1016/j.rcim.2023.102629.
[11] UHLMANN E,REINKOBER S,HOLLERBACH T.Energy efficient usage of industrial robots for machining processes[J].Procedia CIRP,2016,48:206-211.DOI:10.1016/j.procir.2016.03.2412.
[12] 王柴志.立体石雕机器人系统刚度对加工误差的理论及实验分析[D].厦门:华侨大学,2020.
[13] 陈日曜.金属切削原理[M].北京:机械工业出版社,2008.
[14] 刘霜,刘飞,王秋莲.机床机电主传动系统服役过程能量效率获取方法[J].机械工程学报,2012,48(23):111-116.DOI:10.3901/JME.2012.23.111.
[15] BABAJANZADE-ROSHAN S,BEHBOODI-JOOIBARI M,TEIMOURI R,et al.Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm[J].International Journal of Advanced Manufacturing Technology,2013,69(5/6/7/8):1803-1818.DOI:10.1007/s00170-013-5131-6.

相似文献/References:

[1]陈希达,陈宝珊.工艺设备调整数学模型[J].华侨大学学报(自然科学版),1985,6(3):286.[doi:10.11830/ISSN.1000-5013.1985.03.0286]
　Chen Xida,Chen Baoshan.The Mathematical Model of the Adjustment of Technological Installations[J].Journal of Huaqiao University(Natural Science),1985,6(4):286.[doi:10.11830/ISSN.1000-5013.1985.03.0286]
[2]吕东庚.啤酒发酵过程的微型计算机控制系统[J].华侨大学学报(自然科学版),1987,8(3):330.[doi:10.11830/ISSN.1000-5013.1987.03.0330]
　Lu Donggeng.A Microcomputer Controlled System for Running the Beer Fermentation Process[J].Journal of Huaqiao University(Natural Science),1987,8(4):330.[doi:10.11830/ISSN.1000-5013.1987.03.0330]
[3]陈芬莲,邓诗赞.注塑件质量分析[J].华侨大学学报(自然科学版),1992,13(4):534.[doi:10.11830/ISSN.1000-5013.1992.04.0534]
　Chen Fenlian,Deng Shizan.Quality Analysis of the Parts made by Injection Moulding[J].Journal of Huaqiao University(Natural Science),1992,13(4):534.[doi:10.11830/ISSN.1000-5013.1992.04.0534]
[4]李艳,荆国华,董梅霞.微电解-Fenton法预处理制革废水[J].华侨大学学报(自然科学版),2008,29(2):270.[doi:10.11830/ISSN.1000-5013.2008.02.0270]
　LI Yan,JING Guo-hua,DONG Mei-xia.Pretreatment of Tannery Wastewater by Micro-Electrolysis and Fenton Oxidation Process[J].Journal of Huaqiao University(Natural Science),2008,29(4):270.[doi:10.11830/ISSN.1000-5013.2008.02.0270]
[5]许建文,顾永华,刘斌.EVA塑料发泡倍率的影响规律实验[J].华侨大学学报(自然科学版),2011,32(1):5.[doi:10.11830/ISSN.1000-5013.2011.01.0005]
　XU Jian-wen,GU Yong-hua,LIU Bin.Experiments of Effect Rule of EVA Plastic′s Expansion Ratio[J].Journal of Huaqiao University(Natural Science),2011,32(4):5.[doi:10.11830/ISSN.1000-5013.2011.01.0005]
[6]许建文,刘斌.非球面塑料光学透镜收缩变形的数值分析[J].华侨大学学报(自然科学版),2011,32(2):130.[doi:10.11830/ISSN.1000-5013.2011.02.0130]
　XU Jian-wen,LIU Bin.Numerical Simulation of Shrinkage Deformation for Aspherical Plastic Optical Lens[J].Journal of Huaqiao University(Natural Science),2011,32(4):130.[doi:10.11830/ISSN.1000-5013.2011.02.0130]
[7]刘佳,金福江.模糊推理的针织物染色工艺参数设计方法[J].华侨大学学报(自然科学版),2014,35(3):283.[doi:10.11830/ISSN.1000-5013.2014.03.0283]
　LIU Jia,JIN Fu-jiang.A Study on the Model of the Craft Parameters in Batch Dyeing Processes Based on Fuzzy Inference System[J].Journal of Huaqiao University(Natural Science),2014,35(4):283.[doi:10.11830/ISSN.1000-5013.2014.03.0283]
[8]刘啟迪,周真明,张红忠,等.煅烧改性净水厂污泥制备除磷材料工艺参数优化[J].华侨大学学报(自然科学版),2018,39(1):51.[doi:10.11830/ISSN.1000-5013.201704049]
　LIU Qidi,ZHOU Zhenming,ZHANG Hongzhong,et al.Parameter Optimization of Preparing Phosphorus Removal Material by Using Calcined Water Treatment Plant Sludge[J].Journal of Huaqiao University(Natural Science),2018,39(4):51.[doi:10.11830/ISSN.1000-5013.201704049]

备注/Memo

备注/Memo:
收稿日期: 2023-11-29
通信作者: 黄吉祥(1989-),男,实验师,主要从事高效精密加工的研究。E-mail:xmz024@hqu.edu.cn。
基金项目: 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)
更新日期/Last Update: 2024-07-20