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ISSN:
eISSN:
2504-4494
Publisher:
MDPI
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- chemical engineering (Engineering and Technology)
- materials engineering (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2025 | 20 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2025 | 20 | Ministry scored journals list 2024 |
| 2024 | 20 | Ministry scored journals list 2024 |
| 2023 | 20 | Ministry Scored Journals List |
| 2022 | 20 | Ministry Scored Journals List 2019-2022 |
| 2021 | 20 | Ministry Scored Journals List 2019-2022 |
| 2020 | 20 | Ministry Scored Journals List 2019-2022 |
| 2019 | 20 | Ministry Scored Journals List 2019-2022 |
Model:
Open Access
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 5.1 |
| Year | Points |
|---|---|
| 2023 | 5.1 |
| 2022 | 5.5 |
| 2021 | 4.8 |
| 2020 | 2 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2023
-
Modeling of Surface Roughness in Honing Processes by UsingFuzzy Artificial Neural Networks
PublicationHoning processes are abrasive machining processes which are commonly employed to improve the surface of manufactured parts such as hydraulic or combustion engine cylinders. These processes can be employed to obtain a cross-hatched pattern on the internal surfaces of cylinders. In this present study, fuzzy artificial neural networks are employed for modeling surface roughness parameters obtained in finishing honing operations. As...
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