The Residual Stress Modeling and Assessment Based on Fine Drilling

Kuikui Feng; Faping Zhang; Wuhong Wang; Zhenhe Wu; Haodong Zhang; Qian Cheng

doi:10.1007/978-981-19-5615-7_13

The Residual Stress Modeling and Assessment Based on Fine Drilling

Kuikui Feng, Faping Zhang^*, Wuhong Wang, Zhenhe Wu, Haodong Zhang, Qian Cheng

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The diversity of fine drilling process factors results in the lack of detailed and effective modeling method for residual stress, and the sealing of the process limits the credibility assessment of the model. In order to solve these two problems, this paper studies the mechanism of stress formation and transfer in fine drilling, constructs the analytical model of residual stress on drilling surface, measures the time-varying stress of in-situ state by boundary method, and assesses the credibility of the model. The results show that the average credibility of the model is 91.30%, which verifies the efficiency of the model.

源语言	英语
主期刊名	Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety
编辑	Wuhong Wang, Jianping Wu, Ruimin Li, Xiaobei Jiang, Haodong Zhang
出版商	Springer Science and Business Media Deutschland GmbH
页	189-202
页数	14
ISBN（印刷版）	9789811956140
DOI	https://doi.org/10.1007/978-981-19-5615-7_13
出版状态	已出版 - 2023
活动	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 - Beijing, 中国期限: 17 11月 2021 → 19 11月 2021

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	944
ISSN（印刷版）	1876-1100
ISSN（电子版）	1876-1119

会议

会议	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021
国家/地区	中国
市	Beijing
时期	17/11/21 → 19/11/21

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10.1007/978-981-19-5615-7_13

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链接到 Scopus 的出版物

引用此

Feng, K., Zhang, F., Wang, W., Wu, Z., Zhang, H., & Cheng, Q. (2023). The Residual Stress Modeling and Assessment Based on Fine Drilling. 在 W. Wang, J. Wu, R. Li, X. Jiang, & H. Zhang (编辑), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety (页码 189-202). (Lecture Notes in Electrical Engineering; 卷 944). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-5615-7_13

Feng, Kuikui ; Zhang, Faping ; Wang, Wuhong 等. / The Residual Stress Modeling and Assessment Based on Fine Drilling. Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. 编辑 / Wuhong Wang ; Jianping Wu ; Ruimin Li ; Xiaobei Jiang ; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. 页码 189-202 (Lecture Notes in Electrical Engineering).

@inproceedings{d22af2a319954855911b58ae60910511,

title = "The Residual Stress Modeling and Assessment Based on Fine Drilling",

abstract = "The diversity of fine drilling process factors results in the lack of detailed and effective modeling method for residual stress, and the sealing of the process limits the credibility assessment of the model. In order to solve these two problems, this paper studies the mechanism of stress formation and transfer in fine drilling, constructs the analytical model of residual stress on drilling surface, measures the time-varying stress of in-situ state by boundary method, and assesses the credibility of the model. The results show that the average credibility of the model is 91.30%, which verifies the efficiency of the model.",

author = "Kuikui Feng and Faping Zhang and Wuhong Wang and Zhenhe Wu and Haodong Zhang and Qian Cheng",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

year = "2023",

doi = "10.1007/978-981-19-5615-7_13",

language = "English",

isbn = "9789811956140",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "189--202",

editor = "Wuhong Wang and Jianping Wu and Ruimin Li and Xiaobei Jiang and Haodong Zhang",

booktitle = "Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety",

address = "Germany",

}

Feng, K, Zhang, F , Wang, W, Wu, Z, Zhang, H & Cheng, Q 2023, The Residual Stress Modeling and Assessment Based on Fine Drilling. 在 W Wang, J Wu, R Li, X Jiang & H Zhang (编辑), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Lecture Notes in Electrical Engineering, 卷 944, Springer Science and Business Media Deutschland GmbH, 页码 189-202, 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021, Beijing, 中国, 17/11/21. https://doi.org/10.1007/978-981-19-5615-7_13

The Residual Stress Modeling and Assessment Based on Fine Drilling. / Feng, Kuikui; Zhang, Faping ; Wang, Wuhong 等.
Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. 编辑 / Wuhong Wang; Jianping Wu; Ruimin Li; Xiaobei Jiang; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. 页码 189-202 (Lecture Notes in Electrical Engineering; 卷 944).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - The Residual Stress Modeling and Assessment Based on Fine Drilling

AU - Feng, Kuikui

AU - Zhang, Faping

AU - Wang, Wuhong

AU - Wu, Zhenhe

AU - Zhang, Haodong

AU - Cheng, Qian

PY - 2023

Y1 - 2023

N2 - The diversity of fine drilling process factors results in the lack of detailed and effective modeling method for residual stress, and the sealing of the process limits the credibility assessment of the model. In order to solve these two problems, this paper studies the mechanism of stress formation and transfer in fine drilling, constructs the analytical model of residual stress on drilling surface, measures the time-varying stress of in-situ state by boundary method, and assesses the credibility of the model. The results show that the average credibility of the model is 91.30%, which verifies the efficiency of the model.

AB - The diversity of fine drilling process factors results in the lack of detailed and effective modeling method for residual stress, and the sealing of the process limits the credibility assessment of the model. In order to solve these two problems, this paper studies the mechanism of stress formation and transfer in fine drilling, constructs the analytical model of residual stress on drilling surface, measures the time-varying stress of in-situ state by boundary method, and assesses the credibility of the model. The results show that the average credibility of the model is 91.30%, which verifies the efficiency of the model.

UR - http://www.scopus.com/inward/record.url?scp=85142671979&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-5615-7_13

DO - 10.1007/978-981-19-5615-7_13

M3 - Conference contribution

AN - SCOPUS:85142671979

SN - 9789811956140

T3 - Lecture Notes in Electrical Engineering

SP - 189

EP - 202

BT - Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety

A2 - Wang, Wuhong

A2 - Wu, Jianping

A2 - Li, Ruimin

A2 - Jiang, Xiaobei

A2 - Zhang, Haodong

PB - Springer Science and Business Media Deutschland GmbH

T2 - 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021

Y2 - 17 November 2021 through 19 November 2021

ER -

Feng K, Zhang F , Wang W, Wu Z, Zhang H, Cheng Q. The Residual Stress Modeling and Assessment Based on Fine Drilling. 在 Wang W, Wu J, Li R, Jiang X, Zhang H, 编辑, Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. Springer Science and Business Media Deutschland GmbH. 2023. 页码 189-202. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-5615-7_13

The Residual Stress Modeling and Assessment Based on Fine Drilling

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