tailoredforming-analysis

An analysis of Tailored Forming Process Chains using the ORKG.

https://github.com/okarras/tailoredforming-analysis

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary

Keywords

analysis jupyter jupyter-notebook mechanical-process-engineering process-chains research-software tailored-forming
Last synced: 6 months ago · JSON representation ·

Repository

An analysis of Tailored Forming Process Chains using the ORKG.

Basic Info
  • Host: GitHub
  • Owner: okarras
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 8.96 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
analysis jupyter jupyter-notebook mechanical-process-engineering process-chains research-software tailored-forming
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Analysis of Tailored Forming Process Chains in Mechanical Process Engineering

The project contains an analysis of Tailored Forming Process Chains in mechanical process engineering and is supplementary material for the paper "O. Karras et al.: Organizing Scientific Knowledge from Engineering Sciences Using the Open Research Knowledge Graph: The Tailored Forming Process Chain Use Case", submitted to the Special Collection for the International Data Week and SciDataCon of the CODATA Data Science Journal.

Zenodo Release

Zenodo link to the latest release: DOI

Analysis of Tailored Forming Process Chains

This Jupyter notebook contains several analyses of scholarly knowledge from scientific publications on the topic of Tailored Forming Process Chain for the Manufacturing of Hybrid Components with Bearing Raceways Using Different Material Combinations from the research field Mechanical Process Engineering. These analyses are based on domain-specific competency questions about the described scholarly knowledge posed by two domain experts in this research area.

Binder link to the interactive, reproducible, and reusable tailored forming analysis: Binder

Analysis of Comparison Complexity

In this Jupyter notebook, we analyze the described contributions contained in various comparisons and papers in the Open Research Knowledge Graph (ORKG) in terms of their complexity. The goal of this analysis is to understand how complex contributions in existing comparisons and papers are described to compare their complexity to that of our described contributions that belong to a specific comparison on Tailored Forming Process Chain for the Manufacturing of Hybrid Components with Bearing Raceways Using Different Material Combinations from the research field Mechanical Process Engineering. In this way, we want to assess how comparable our comparison and the described contributions are with other comparisons and described contributions that are cited in a published articles. In particular, we investigate the distinct number of resources, literals, and predicates used in described contributions as these numbers are indicators for the design complexity.

Binder link to the interactive, reproducible, and reusable comparison analysis: Binder

Owner

  • Name: Oliver Karras
  • Login: okarras
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Analysis of Tailored Forming Process Chains in Mechanical
  Process Engineering
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Oliver
    family-names: Karras
    email: oliver.karras@tib.eu
    affiliation: >-
      TIB - Leibniz Information Centre for Science and
      Technology
    orcid: 'https://orcid.org/0000-0001-5336-6899'
identifiers:
  - type: doi
    value: 10.5281/zenodo.10562050
    description: Latest release on Zenodo.
repository-code: 'https://github.com/okarras/TailoredForming-Analysis'
keywords:
  - Python
  - Jupyter notebook
  - Analysis
  - Tailored Forming Process Chain
  - Mechanical Process Engineering
  - Open Research Knowledge Graph
license: MIT
commit: 7bb9693
version: v1.0
date-released: '2024-01-24'

GitHub Events

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Last synced: about 2 years ago

All Time
  • Total Commits: 15
  • Total Committers: 1
  • Avg Commits per committer: 15.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 15
  • Committers: 1
  • Avg Commits per committer: 15.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Oliver Karras o****s@t****u 15
Committer Domains (Top 20 + Academic)
tib.eu: 1

Issues and Pull Requests

Last synced: about 2 years ago

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  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
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Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

requirements.txt pypi
  • dataframe_image *
  • datetime *
  • matplotlib *
  • orkg *
  • pandas *
  • seaborn *
  • sparql_dataframe *