Multi-objective optimization of milling process for thin-walled parts

Jiahao Yang; Jingxiang Lv; Yingfeng Zhang

doi:10.1109/ICNSC.2018.8361310

Multi-objective optimization of milling process for thin-walled parts

Jiahao Yang
, Jingxiang Lv
, Yingfeng Zhang

机电学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, we recorded the main input parameters of a computer numerical control (CNC) machine during the milling process of the thin-walled parts, including: spindle speed, feed speed, axial depth of cut, radial cutting repetition rate and tool diameter, while collected the output data: the energy consumption, time, dimension accuracy and surface roughness by the devices including current sensors, voltage sensors, etc. After that, further analysis regarding the optimization objective of simultaneously minimum surface roughness, energy consumption and machining time was carried out using Pareto analysis and Weighted Signal-to-Noise Ratio.

源语言	英语
主期刊名	ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1-4
页数	4
ISBN（电子版）	9781538650530
DOI	https://doi.org/10.1109/ICNSC.2018.8361310
出版状态	已出版 - 18 5月 2018
活动	15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018 - Zhuhai, 中国期限: 27 3月 2018 → 29 3月 2018

出版系列

姓名	ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control

会议

会议	15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018
国家/地区	中国
市	Zhuhai
时期	27/03/18 → 29/03/18

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ICNSC.2018.8361310

其它文件与链接

链接到 Scopus 的出版物

引用此

Yang, J., Lv, J., & Zhang, Y. (2018). Multi-objective optimization of milling process for thin-walled parts. 在 ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control (页码 1-4). (ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC.2018.8361310

@inproceedings{a6db8ac64d36414082512675850d131a,

title = "Multi-objective optimization of milling process for thin-walled parts",

abstract = "In this paper, we recorded the main input parameters of a computer numerical control (CNC) machine during the milling process of the thin-walled parts, including: spindle speed, feed speed, axial depth of cut, radial cutting repetition rate and tool diameter, while collected the output data: the energy consumption, time, dimension accuracy and surface roughness by the devices including current sensors, voltage sensors, etc. After that, further analysis regarding the optimization objective of simultaneously minimum surface roughness, energy consumption and machining time was carried out using Pareto analysis and Weighted Signal-to-Noise Ratio.",

keywords = "CNC machine, energy, milling, optimize, Pareto analysis, roughness",

author = "Jiahao Yang and Jingxiang Lv and Yingfeng Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018 ; Conference date: 27-03-2018 Through 29-03-2018",

year = "2018",

month = may,

day = "18",

doi = "10.1109/ICNSC.2018.8361310",

language = "英语",

series = "ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control",

}

Yang, J, Lv, J & Zhang, Y 2018, Multi-objective optimization of milling process for thin-walled parts. 在 ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control. ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control, Institute of Electrical and Electronics Engineers Inc., 页码 1-4, 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, 中国, 27/03/18. https://doi.org/10.1109/ICNSC.2018.8361310

Multi-objective optimization of milling process for thin-walled parts. / Yang, Jiahao; Lv, Jingxiang; Zhang, Yingfeng.
ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 1-4 (ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Multi-objective optimization of milling process for thin-walled parts

AU - Yang, Jiahao

AU - Lv, Jingxiang

AU - Zhang, Yingfeng

PY - 2018/5/18

Y1 - 2018/5/18

N2 - In this paper, we recorded the main input parameters of a computer numerical control (CNC) machine during the milling process of the thin-walled parts, including: spindle speed, feed speed, axial depth of cut, radial cutting repetition rate and tool diameter, while collected the output data: the energy consumption, time, dimension accuracy and surface roughness by the devices including current sensors, voltage sensors, etc. After that, further analysis regarding the optimization objective of simultaneously minimum surface roughness, energy consumption and machining time was carried out using Pareto analysis and Weighted Signal-to-Noise Ratio.

AB - In this paper, we recorded the main input parameters of a computer numerical control (CNC) machine during the milling process of the thin-walled parts, including: spindle speed, feed speed, axial depth of cut, radial cutting repetition rate and tool diameter, while collected the output data: the energy consumption, time, dimension accuracy and surface roughness by the devices including current sensors, voltage sensors, etc. After that, further analysis regarding the optimization objective of simultaneously minimum surface roughness, energy consumption and machining time was carried out using Pareto analysis and Weighted Signal-to-Noise Ratio.

KW - CNC machine

KW - energy

KW - milling

KW - optimize

KW - Pareto analysis

KW - roughness

UR - https://www.scopus.com/pages/publications/85048216208

U2 - 10.1109/ICNSC.2018.8361310

DO - 10.1109/ICNSC.2018.8361310

M3 - 会议稿件

AN - SCOPUS:85048216208

T3 - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control

SP - 1

EP - 4

BT - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018

Y2 - 27 March 2018 through 29 March 2018

ER -

Yang J, Lv J, Zhang Y. Multi-objective optimization of milling process for thin-walled parts. 在 ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc. 2018. 页码 1-4. (ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control). doi: 10.1109/ICNSC.2018.8361310

Multi-objective optimization of milling process for thin-walled parts

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此