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Organizing Scientific Knowledge from Engineering Sciences Using the Open Research Knowledge Graph: The Tailored Forming Process Chain Use Case Cover

Organizing Scientific Knowledge from Engineering Sciences Using the Open Research Knowledge Graph: The Tailored Forming Process Chain Use Case

Open Access
|Nov 2024

Figures & Tables

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Figure 1

Snippet of an ORKG comparison of targeted CO2 reduction until 2050 (Karras et al., 2024; Kullmann et al., 2021).

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Figure 2

General process chain of CRC 1153 and its project areas.

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Figure 3

General process chain of CRC 1153 and its sub-projects.

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Figure 4

Activity diagram of the research approach.

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Figure 5

Excerpt from the ORKG template for data extraction.

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Figure 6

Data extraction example: On the left, a paragraph of the publication by Budde et al. (2022) about the materials used in the TFPCs. We highlighted the material to be described in yellow. On the right, we show the input form of the ORKG generated based on our ORKG template for describing materials.

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Figure 7

Example from selected publications (Budde et al., 2022) in the ORKG: Blue shapes represent ORKG resources and predicates. Yellow shapes are user-generated. Class labels are in blue, and resource IDs are in magenta.

Table 1

The eight competency questions asked by the two domain experts.

IDCOMPETENCY QUESTION
1How often are which qualities of hybrid components examined in the individual steps of the Tailored Forming Process Chain?
2Which material combinations are used for the manufacturing of hybrid components?
3How do the steps of the Tailored Forming Process Chain affect the hardness of the cladding layer of hybrid components?
4In which material combinations and steps of the Tailored Forming Process Chain can defects occur in hybrid components?
5What service lives can be achieved for hybrid components in the Tailored Forming Process Chain?
6Which manufacturing methods are used in the individual steps of the Tailored Forming Process Chain to manufacture the respective hybrid component?
7How often are certain manufacturing methods used in total in all described Tailored Forming Process Chains?
8Which microstructures are present in hybrid components after the steps of the Tailored Forming Process Chain?
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Listing 1

Exemplary SPARQL query to retrieve the data for answering the fifth competence question on the service lives achieved for hybrid components in the Tailored Forming Process Chain (cf. Table 1).

Table 2

Statements describing the organization of the data extraction topics assessed by the respondents.

TOPICSTATEMENT
MaterialA material has one or more qualities that are measured.
Process chainA process chain has two or more process steps, a start process step, an end process step, an input, and an output.
Process stepA process step can have a previous process step and a next process step, and it has an input, an output, one or more manufacturing methods, and one or more measurement methods.
InputAn input is either one or more materials or the output of the previous process step.
OutputAn output is a manufactured component.
Manufacturing methodA manufacturing method is the method used in a process step to manufacture the output of the process step.
Manufactured componentA manufactured component has one or more layers.
LayerA layer consists of a material.
QualityA quality is measured by one or more measurements.
Measurement methodA measurement method has an output of a process step as the object of investigation and one or more measurements.
MeasurementA measurement has a value and a unit.
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Figure 8

Comparison of TFPCs for the manufacturing of hybrid components (Karras et al., 2023a).

Table 3

Complexity of our use case, of nine use cases from related work, and of 507 ORKG comparisons with DOI.

PUBLICATION#PAPERS#CONTRIB.#STATEMENTS#RESOURCES#LITERALS#RELATED RESOURCES#RELATED FIGURES
Our use case
This article5101918366217418
Nine use case from related work
Runnwerth et al. (2020)6650100000
Karras et al. (2021)191960982039800
Karras et al. (2021)272750368332300
Auer et al. (2020)17172023822200
Auer et al. (2020)213141556826222
Auer et al. (2020)16161271599500
Auer et al. (2020)6654674100
Anteghini et al. (2020)33100199100
Knoll (2022)5546761600
Mean13.3314.44234339.33128.670.220.22
Std. deviation8.049.57204.88270.03146.750.630.63
Median16161271994100
All 507 ORKG comparisons with DOI
Mean9.9412.85343.11514.48171.740.010.02
Std. deviation12.4319.11589.59882.18352.870.110.38
Minimum12612000
Median671572348000
Maximum8615760899503484228
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Figure 9

Boxplots of the complexity of 507 ORKG comparisons with DOI, the nine use cases from related work and our use case. Remark: The ×-symbol marks use cases from related work. The dsj-23-1700-g22.png-symbol marks the use case of this article. The dsj-23-1700-g23.png-symbol marks potential outliers that are more than 1.5 times the interquartile range above the upper quartile.

Table 4

Coverage of the eight competency questions, with details on the number of TFPCs and publications that provide relevant information to answer the questions and thus meet the information needs.

COMPETENCY QUESTION IDQUESTION ANSWERED?RELEVANT INFORMATION FROM
#TFPCs#PUBLICATIONS
1Yes105
2Yes105
3Yes105
4Yes63
5Yes33
6Yes105
7Yes105
8Yes94
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Figure 10

Frequency of examined qualities of hybrid components per step of the TFPC.

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Figure 11

Hardness of the cladding layer of hybrid components per step of the TFPC.

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Figure 12

Service lives of hybrid components manufactured in TFPCs.

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Figure 13

Manufacturing methods per step of the TFPCs.

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Figure 14

Demographics of the experts surveyed.

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Figure 15

Experts’ level of agreement with the usefulness of the data extraction topics.

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Figure 16

Experts’ level of agreement with the organization of the data extraction topics.

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Figure 17

Experts’ level of agreement with the relevance of the competency questions and answers with visualizations for Tailored Forming Process Chains in engineering sciences.

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Figure 18

Boxplots of the complexity of 30 process chains described. Remark: The ×-symbol marks the 20 AMPCs from the three external publications. The dsj-23-1700-g22.png-symbol marks the 10 TFPCs from the five publications of the CRC 1153. The dsj-23-1700-g23.png-symbol marks potential outliers that are more than 1.5 times the interquartile range above the upper quartile.

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Listing 2

SPARQL query to retrieve the hardness in the outermost layer of all final components manufactured in the 30 described process chains, if reported.

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Figure 19

Hardness in the outermost layer of all final manufactured components, reported in 27 of the 30 process chains described.

Language: English
Submitted on: Mar 1, 2024
Accepted on: Oct 4, 2024
Published on: Nov 6, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Oliver Karras, Laura Budde, Paulina Merkel, Jörg Hermsdorf, Malte Stonis, Ludger Overmeyer, Bernd-Arno Behrens, Sören Auer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.