Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses

Sergey Chupakhin; Nikolai Kashaev; Benjamin Klusemann; Norbert Huber

Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review

Standard

Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses. / Chupakhin, Sergey; Kashaev, Nikolai; Klusemann, Benjamin et al.
Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP). ed. / Claudia Polese. University of the Witwatersrand, 2016. p. 15.

Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review

Harvard

Chupakhin, S, Kashaev, N, Klusemann, B & Huber, N 2016, Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses. in C Polese (ed.), Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP). University of the Witwatersrand, pp. 15, 6th International Conference on Laser Peening and Related Phenomena, Johannesburg, South Africa, 06.11.16.

APA

Chupakhin, S., Kashaev, N., Klusemann, B., & Huber, N. (2016). Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses. In C. Polese (Ed.), Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP) (pp. 15). University of the Witwatersrand.

Vancouver

Chupakhin S, Kashaev N, Klusemann B, Huber N. Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses. In Polese C, editor, Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP). University of the Witwatersrand. 2016. p. 15

Bibtex

@inbook{1abf33c075e844f2a340d5c203778d38,

title = "Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses",

keywords = "Engineering",

author = "Sergey Chupakhin and Nikolai Kashaev and Benjamin Klusemann and Norbert Huber",

year = "2016",

language = "English",

pages = "15",

editor = "Claudia Polese",

booktitle = "Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP)",

publisher = "University of the Witwatersrand",

address = "South Africa",

note = "6th International Conference on Laser Peening and Related Phenomena ; Conference date: 06-11-2016 Through 11-11-2016",

url = "https://www.eiseverywhere.com/ehome/6thiclprp/347554/, https://www.eiseverywhere.com/ehome/6thiclprp/347554/",

}

RIS

TY - CHAP

T1 - Application of neural network for correction of hole drilling plasticity effect when measuring LSP induced residual stresses

AU - Chupakhin, Sergey

AU - Kashaev, Nikolai

AU - Klusemann, Benjamin

AU - Huber, Norbert

N1 - Conference code: 6

PY - 2016

Y1 - 2016

KW - Engineering

M3 - Published abstract in conference proceedings

SP - 15

BT - Book of Abstracts of the 6th International Conference on Laser Peening and Related Phenomena (6TH ICLPRP)

A2 - Polese, Claudia

PB - University of the Witwatersrand

T2 - 6th International Conference on Laser Peening and Related Phenomena

Y2 - 6 November 2016 through 11 November 2016

ER -