Quality protection based on elemental composition - Influencing factors and integration into life-cycle

Daniel Cichos; Hendrik Hotz; Li Yi; Stephan Basten; Jan C. Aurich

doi:10.1016/j.procir.2019.02.064

Quality protection based on elemental composition - Influencing factors and integration into life-cycle

Daniel Cichos
, Hendrik Hotz^*
, Li Yi
, Stephan Basten
, Jan C. Aurich

^*Corresponding author for this work

The University of Kaiserslautern-Landau

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Capital goods have to be clearly identifiable for traceability. The identification procedure "batch-fingerprint" is based on stochastic properties of the elemental composition of metallic components, which cannot be counterfeited. In this paper, research results about the realization of the batch-fingerprint are presented. As part of process dependent influencing factors, different cooling strategies during the machining process and their influence on the batch-fingerprint are investigated. Furthermore, experiments are extended to a larger number of different batches for three materials in order to examine the general applicability. Based on the results, the batch-fingerprint is integrated into the lifecycle of capital goods.

Original language	English
Pages (from-to)	263-267
Number of pages	5
Journal	Procedia CIRP
Volume	79
DOIs	https://doi.org/10.1016/j.procir.2019.02.064
State	Published - 2019
Externally published	Yes
Event	12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018 - Naples, Italy Duration: 18 Jul 2018 → 20 Jul 2018

Keywords

Management of the product lifecycle
Quality protection
Value creation

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10.1016/j.procir.2019.02.064

Cite this

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title = "Quality protection based on elemental composition - Influencing factors and integration into life-cycle",

abstract = "Capital goods have to be clearly identifiable for traceability. The identification procedure {"}batch-fingerprint{"} is based on stochastic properties of the elemental composition of metallic components, which cannot be counterfeited. In this paper, research results about the realization of the batch-fingerprint are presented. As part of process dependent influencing factors, different cooling strategies during the machining process and their influence on the batch-fingerprint are investigated. Furthermore, experiments are extended to a larger number of different batches for three materials in order to examine the general applicability. Based on the results, the batch-fingerprint is integrated into the lifecycle of capital goods.",

keywords = "Management of the product lifecycle, Quality protection, Value creation",

author = "Daniel Cichos and Hendrik Hotz and Li Yi and Stephan Basten and Aurich, \{Jan C.\}",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s).; 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018 ; Conference date: 18-07-2018 Through 20-07-2018",

year = "2019",

doi = "10.1016/j.procir.2019.02.064",

language = "英语",

volume = "79",

pages = "263--267",

journal = "Procedia CIRP",

issn = "2212-8271",

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T1 - Quality protection based on elemental composition - Influencing factors and integration into life-cycle

AU - Cichos, Daniel

AU - Hotz, Hendrik

AU - Yi, Li

AU - Basten, Stephan

AU - Aurich, Jan C.

PY - 2019

Y1 - 2019

N2 - Capital goods have to be clearly identifiable for traceability. The identification procedure "batch-fingerprint" is based on stochastic properties of the elemental composition of metallic components, which cannot be counterfeited. In this paper, research results about the realization of the batch-fingerprint are presented. As part of process dependent influencing factors, different cooling strategies during the machining process and their influence on the batch-fingerprint are investigated. Furthermore, experiments are extended to a larger number of different batches for three materials in order to examine the general applicability. Based on the results, the batch-fingerprint is integrated into the lifecycle of capital goods.

AB - Capital goods have to be clearly identifiable for traceability. The identification procedure "batch-fingerprint" is based on stochastic properties of the elemental composition of metallic components, which cannot be counterfeited. In this paper, research results about the realization of the batch-fingerprint are presented. As part of process dependent influencing factors, different cooling strategies during the machining process and their influence on the batch-fingerprint are investigated. Furthermore, experiments are extended to a larger number of different batches for three materials in order to examine the general applicability. Based on the results, the batch-fingerprint is integrated into the lifecycle of capital goods.

KW - Management of the product lifecycle

KW - Quality protection

KW - Value creation

UR - https://www.scopus.com/pages/publications/85065418286

U2 - 10.1016/j.procir.2019.02.064

DO - 10.1016/j.procir.2019.02.064

M3 - 会议文章

AN - SCOPUS:85065418286

SN - 2212-8271

VL - 79

SP - 263

EP - 267

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018

Y2 - 18 July 2018 through 20 July 2018

ER -

Quality protection based on elemental composition - Influencing factors and integration into life-cycle

Abstract

Keywords

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