2025 Vol.18 No.42025 Vol.18 No.32025 Vol.18 No.22025 Vol.18 No.12024 Vol.17 No.42024 Vol.17 No.32024 Vol.17 No.22024 Vol.17 No.12023 Vol.16 No.42023 Vol.16 No.2/32023 Vol.16 No.12022 Vol.15 No.42022 Vol.15 No.2/3 
2022 Vol.15 No.12021 Vol.14 No.3/42021 Vol.14 No.2 2021 Vol.14 No.12020 Vol.13 No.42020 Vol.13 No.32020 Vol.13 No.22020 Vol.13 No.12019 Vol.12 No.3/42019 Vol.12 No.22019 Vol.12 No.12018 Vol.11 No.42018 Vol.11 No.2/32018 Vol.11 No.12017 Vol.10 No.42017 Vol.10 No.32017 Vol.10 No.22017 Vol.10 No.12016 Vol.9 No.42016 Vol.9 No.32016 Vol.9 No.22016 Vol.9 No.12015 Vol.8 No.5/62015 Vol.8 No.3/42015 Vol.8 No.1/22014 Vol.7 No.4/5/62014 Vol.7 No.2/32014 Vol.7 No.12013 Vol.6 No.5/62013 Vol.6 No.42013 Vol.6 No.32013 Vol.6 No.22013 Vol.6 No.12012 Vol.5 No.5/62012 Vol.5 No.3/42012 Vol.5 No.22012 Vol.5 No.12011 Vol.4 No.62011 Vol.4 No.52011 Vol.4 No.3/42011 Vol.4 No.22011 Vol.4 No.12010 Vol.3 No.5/62010 Vol.3 No.3/42010 Vol.3 No.1/22009 Vol.2 No.5/62009 Vol.2 No.42009 Vol.2 No.32009 Vol.2 No.1/22008 Vol.1 No.42008 Vol.1 No.2/32008 Vol.1 No.1
2022 Vol.15 No.12021 Vol.14 No.3/42021 Vol.14 No.2 2021 Vol.14 No.12020 Vol.13 No.42020 Vol.13 No.32020 Vol.13 No.22020 Vol.13 No.12019 Vol.12 No.3/42019 Vol.12 No.22019 Vol.12 No.12018 Vol.11 No.42018 Vol.11 No.2/32018 Vol.11 No.12017 Vol.10 No.42017 Vol.10 No.32017 Vol.10 No.22017 Vol.10 No.12016 Vol.9 No.42016 Vol.9 No.32016 Vol.9 No.22016 Vol.9 No.12015 Vol.8 No.5/62015 Vol.8 No.3/42015 Vol.8 No.1/22014 Vol.7 No.4/5/62014 Vol.7 No.2/32014 Vol.7 No.12013 Vol.6 No.5/62013 Vol.6 No.42013 Vol.6 No.32013 Vol.6 No.22013 Vol.6 No.12012 Vol.5 No.5/62012 Vol.5 No.3/42012 Vol.5 No.22012 Vol.5 No.12011 Vol.4 No.62011 Vol.4 No.52011 Vol.4 No.3/42011 Vol.4 No.22011 Vol.4 No.12010 Vol.3 No.5/62010 Vol.3 No.3/42010 Vol.3 No.1/22009 Vol.2 No.5/62009 Vol.2 No.42009 Vol.2 No.32009 Vol.2 No.1/22008 Vol.1 No.42008 Vol.1 No.2/32008 Vol.1 No.1
International Journal of Mechatronics and Manufacturing Systems
2022 Vol.15 No.4
| Pages | Title and author(s) |
| 227-245 | Tensile testing on 3D-printed metallic specimens of CuZn28 at different planes and orientationsVarun Vashist; Zoltan Szakal DOI: 10.1504/IJMMS.2022.127204 |
| 246-263 | Comparative analysis of machine learning algorithms for steel plate defect classificationIoannis D. Kordatos; Panorios Benardos DOI: 10.1504/IJMMS.2022.127211 |
| 264-285 | Effect of material inhomogeneity on chatter stabilityNevzat Bircan Bugdayci; Martin Postel; Konrad Wegener DOI: 10.1504/IJMMS.2022.127209 |
| 286-309 | Modelling and compensation of machine geometric errors for the surface texturing processZhong Jiang; Naresh Kumar Maroju; Shaoke Wan; Xiaoliang Jin DOI: 10.1504/IJMMS.2022.127210 |
| 310-330 | Integration of human factors, cognitive ergonomics, and artificial intelligence in the human-machine interface for additive manufacturingEric Doran; Sharon Bommer; Adedeji Badiru DOI: 10.1504/IJMMS.2022.127213 |
Keep up-to-date
-
Our Blog -
Join us on Bluesky -
Follow us on X -
Visit us on Facebook - Our Newsletter (subscribe for free)
- RSS Feeds
- New issue alerts
- Inderscience is a member of publishing organisations including:
-
-
