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(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 140 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 140 | Ministry scored journals list 2024 |
| 2023 | 140 | Ministry Scored Journals List |
| 2022 | 140 | Ministry Scored Journals List 2019-2022 |
| 2021 | 140 | Ministry Scored Journals List 2019-2022 |
| 2020 | 140 | Ministry Scored Journals List 2019-2022 |
| 2019 | 140 | Ministry Scored Journals List 2019-2022 |
| 2018 | 35 | A |
| 2017 | 35 | A |
| 2016 | 35 | A |
| 2015 | 30 | A |
| 2014 | 30 | A |
| 2013 | 20 | A |
| 2012 | 15 | A |
| 2011 | 15 | A |
| 2010 | 13 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2022 | 16 |
| Year | Points |
|---|---|
| 2022 | 16 |
| 2021 | 15 |
| 2020 | 12.7 |
| 2019 | 9.2 |
| 2018 | 7.9 |
| 2017 | 6 |
| 2016 | 5.8 |
| 2015 | 4.2 |
| 2014 | 3.7 |
| 2013 | 2.4 |
| 2012 | 1.5 |
| 2011 | 1.3 |
Impact Factor:
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Papers published in journal
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total: 2
Catalog Journals
Year 2021
-
Planning optimised multi-tasking operations under the capability for parallel machining
PublicationThe advent of advanced multi-tasking machines (MTMs) in the metalworking industry has provided the opportunity for more efficient parallel machining as compared to traditional sequential processing. It entailed the need for developing appropriate reasoning schemes for efficient process planning to take advantage of machining capabilities inherent in these machines. This paper addresses an adequate methodical approach for a non-linear...
Year 2018
-
Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts
PublicationProcess selection and sequencing, as one of the most complex issues when evaluated from a mathematical point of view and crucial in CAPP, still attract research attention. For the current trend of intelligent manufacturing, machining features (MFs) are the information carriers for workpiece geometry and topology representation. They are basically derived from CAD models and are used by downstream engineering applications. A feature-based...
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