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

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety
Editors	Wuhong Wang, Jianping Wu, Ruimin Li, Xiaobei Jiang, Haodong Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	189-202
Number of pages	14
ISBN (Print)	9789811956140
DOIs	https://doi.org/10.1007/978-981-19-5615-7_13
Publication status	Published - 2023
Event	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021 - Beijing, China Duration: 17 Nov 2021 → 19 Nov 2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	944
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	12th International Conference on Green Intelligent Transportation Systems and Safety, 2021
Country/Territory	China
City	Beijing
Period	17/11/21 → 19/11/21

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

Cite this

Feng, K., Zhang, F., Wang, W., Wu, Z., Zhang, H., & Cheng, Q. (2023). The Residual Stress Modeling and Assessment Based on Fine Drilling. In W. Wang, J. Wu, R. Li, X. Jiang, & H. Zhang (Eds.), Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety (pp. 189-202). (Lecture Notes in Electrical Engineering; Vol. 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 et al. / 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. editor / Wuhong Wang ; Jianping Wu ; Ruimin Li ; Xiaobei Jiang ; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. pp. 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. in W Wang, J Wu, R Li, X Jiang & H Zhang (eds), 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, vol. 944, Springer Science and Business Media Deutschland GmbH, pp. 189-202, 12th International Conference on Green Intelligent Transportation Systems and Safety, 2021, Beijing, China, 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 et al.
Green Transportation and Low Carbon Mobility Safety - Proceedings of the 12th International Conference on Green Intelligent Transportation Systems and Safety. ed. / Wuhong Wang; Jianping Wu; Ruimin Li; Xiaobei Jiang; Haodong Zhang. Springer Science and Business Media Deutschland GmbH, 2023. p. 189-202 (Lecture Notes in Electrical Engineering; Vol. 944).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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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. In Wang W, Wu J, Li R, Jiang X, Zhang H, editors, 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. p. 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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