ARCHIVES

1. Abdukarimov, A., & Madaminov, S. (2021, October). To the theory and practice of creating modern roller machines. In IOP Conference
Series: Materials Science and Engineering Vol. 1182, No. 1, p. 012001.
2. Stagnaro, A. (2008). Design and development of a roll-to-roll machine for continuous high-speed microcontact printing (Doctoral
dissertation, Massachusetts Institute of Technology).
3. Pachange, R., Patil, A., Naik, N., Ajmani, N., Bant, P., & Shivaprakash, M. V. (2019). Design And Fabrication Of Manual Rolle r
Bending Machine. International Research Journal of Engineering and Technology (IRJET), 7.
4. Nesarikar, V. V., Vatsaraj, N., Patel, C., Early, W., Pandey, P., Sprockel, O., ... & Levin, M. (2012). Instrumented roll technology for
the design space development of roller compaction process. International journal of pharmaceutics, 426(1-2), 116-131.
5. Ghanbarian, D., Ghorbani-Marghmaleki, A., Ghazavi, M. A., & Besharati, S. (2015). Design, development and evaluation of a
divergent roller sizer for almond kernels. Journal of Agricultural Machinery, 5(2), 228-241.
6. Amanov, A. T., Bahadirov, G. A., & Nabiev, A. M. (2023). A study on the pressure mechanism improvement of a roller type machine
working bodies. Materials, 16(5), 1956. Conwell, J. C., & Johnson, G. E. (1996). Design, construction and instrumentation of a
machine to measure tension and impact forces in roller chain drives. Mechanism and machine theory, 31(4), 525-531.
7. Buliaminu, K. (2011). Development of a roll-in oriented machine for maize shelling. Journal of Materials Science and Engineering. B,
1(4B), 530.
8. Meymand, S. Z., Hosseinipour, M., & Ahmadian, M. (2015, March). The development of a roller rig for experimental evaluation of
contact mechanics for railway vehicles. In ASME/IEEE Joint Rail Conference (Vol. 56451, p. V001T10A007). American Society of
Mechanical Engineers. Chakraborty,
9. S. K., Subeesh, A., Dubey, K., Jat, D., Chandel, N. S., Potdar, R., ... & Kumar, D. (2023). Development of an optimally designed real-
time automatic citrus fruit grading–sorting machine leveraging computer vision-based adaptive deep learning model. Engineering
Applications of Artificial Intelligence, 120, 105826. Ahmed,
10. A. A. A., & Cheong, A. C. H. (2023, July). Design and develop spiral conveyor for flexible manufacturing system (FMS). In AIP
Conference Proceedings (Vol. 2788, No. 1). AIP Publishing.
11. Deng, Y., Du, S., Wang, D., Shao, Y., & Huang, D. (2023). A calibration-based hybrid transfer learning framework for RUL prediction
of rolling bearing across different machines. IEEE Transactions on Instrumentation and Measurement, 72, 1-15.
12. N. G., Kim, J. Y., & Vak, D. (2021). Machine learning-assisted development of organic photovoltaics via high throughput in situ
formulation. Energy & Environmental Science, 14(6), 3438-3446.
13. Toirov, O., & Tursunov, N. (2021). Development of production technology of rolling stock cast parts. In E3S Web of Conferences (Vol.
264, p. 05013). EDP Sciences.
14. Tekyalcin, A. B., Bogrekci, I., & Demircioglu, P. (2025). Sustainable Process Design for Special Welded Profiles via Roll For ming
Compression. Eng, 6(2), 40.
15. Zhang, X., Chen, C., & Peng, H. (2022). Recent development of clinching tools and machines. The International Journal of Adva nced
Manufacturing Technology, 121(5), 2867-2899.
16. Qosimova, Z. M., & RubidinovSh, G. (2021). Influence of The Design of The Rolling Roller on The Quality of The Surface Layer During
Plastic Deformation on the Workpiece. International Journal of Human Computing Studies, 3(2), 257-263.
17. Geng, Z., Tong, Z., & Jiang, X. (2021). Review of geometric error measurement and compensation techniques of ultra-precision
machine tools. Light: Advanced Manufacturing, 2(2), 211-227.
18. Kirchner, E., Wallmersperger, T., Gwosch, T., Menning, J. D., Peters, J., Breimann, R., ... & Stahl, K. (2024). A review on sensor‐
integrating machine elements. Advanced Sensor Research, 3(4), 2300113.
19. Li, J., Wang, X., Zhao, J., Yang, Q., & Qie, H. (2024). Predicting mechanical properties lower upper bound for cold rolling strip by
machine learning-based artificial intelligence. ISA transactions, 147, 328-336.
20. Chan, T. C., Wu, S. C., Ullah, A., Farooq, U., Wang, I. H., & Chang, S. L. (2024). Integrating numerical techniques and predictive
diagnosis for precision enhancement in roller cam rotary table. The International Journal of Advanced Manufacturing Technolog y,
132(7), 3427-3445.
21. Xu, J., Lu, Y., Olaniyi, E., & Harvey, L. (2024). Online volume measurement of sweetpotatoes by A LiDAR-based machine vision
system. Journal of Food Ensgineering, 361, 111725.