Review and Analysis of Mechanical Cutting Tools for Rubber Stamping

Main Article Content

Maanoj Nair
Kai Jie Low
Kai Liang Lew
Iksan Bukhori
Suleiman Aliyu Babale
Chia Shhyan Lee

Abstract

Rubber industry is one of the major industries in Malaysia. Rubber stamping machine is a machine that cuts rubber sheets into desired shapes and dimensions, facing challenges due to the elastic properties of rubber sheets. These challenges include long process time and non-identical dimension. This review paper focuses on the design of the rubber-stamping machine to address the challenges by reducing process time and producing identical dimensions products. The rubber-stamping machine was fabricated, and analysis was performed to verify its efficiency. The core of the designs is to ensure the user safety, friendliness, and increase productivity and product consistency. Based on the findings from existing studies, the review highlights significant improvements in machine design and operational efficiency. The paper also discusses the impact of these innovations on the competitiveness of rubber stamping operations and provides insights into future directions for research in mechanical design and automation systems. This review can be a crucial resource for developers and manufacturers looking to enhance the efficiency and product quality of rubber-stamping machines, contributing to the advancement of manufacturing practices in the rubber industry.


[Manuscript received: 6 May 2024 | Accepted: 3 Sep 2024 | Published: : 30 Sep 2024]

Article Details

How to Cite
Maanoj Nair, Low, K. J., Lew, K. L., Iksan Bukhori, Babale, S. A. ., & Lee, C. S. . (2024). Review and Analysis of Mechanical Cutting Tools for Rubber Stamping . International Journal on Robotics, Automation and Sciences, 6(2), 84–91. https://doi.org/10.33093/ijoras.2024.6.2.12
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Articles

References

N. Ramli and S. Yusof, “Economic and Market Trends of Specialty Rubber,” Epoxidised Natural Rubber: Properties & Applications, Eds. Singapore: Springer Nature Singapore, pp. 283–301, 2023.

DOI: https://doi.org/10.1007/978-981-19-8836-3_11

C.K. Toa, K. S. Sim and Y. K. Chan, “Protein Concentration Determination in Latex Glove Using Biocompatibility Morphological Mean Test,” International Journal of Robotics, Automation and Sciences, vol. 2, pp. 18–24, 2020.

DOI: https://doi.org/10.33093/ijoras.2020.2.3

A. Elmekawy, L. Diels, L. Bertin, H. De Wever and D. Pant, “Potential biovalorization techniques for olive mill biorefinery wastewater,” Biofuels, Bioproducts and Biorefining, vol. 8, pp. 283–293, Mar. 2014.

DOI: https://doi.org/10.1002/bbb.1450

M. Boumans and C. Martini, “Introduction: Experts and Consensus in Social Science,” in Experts and Consensus in Social Science, C. Martini and M. Boumans, Eds. Cham: Springer International Publishing, pp. 1–13, 2014.

DOI: https://doi.org/10.1007/978-3-319-08551-7_1

H. Karbasian and A. E. Tekkaya, “A review on hot stamping,” Journal of Materials Processing Technology, vol. 210, no. 15, pp. 2103–2118, 2010.

DOI: https://doi.org/10.1016/j.jmatprotec.2010.07.019

T. Trzepiecinski, “Recent developments and trends in sheet metal forming,” Metals, vol. 10, no. 6, pp. 1–53, 2020.

DOI: https://doi.org/10.3390/met10060779

M. Zhang and D. Li, “Theoretical and experimental investigation of the deformation shape in press-braking bending considering surface residual stresses induced by milling operation,” International Journal of Advanced Manufacturing Technology, vol. 131, no. 3–4, pp. 1059–1069, 2024.

DOI: https://doi.org/10.1007/s00170-024-13089-7

E. Bagci, “3-D numerical analysis of orthogonal cutting process via mesh-free method,” International Journal of Physical Sciences, vol. 6, no. 6, pp. 1267–1282, 2011.

DOI: https://doi.org/10.5897/IJPS10.600

N. A. Rahman, I. Masood, and M. N. A. Rahman, “Recognition of unnatural variation patterns in metal-stamping process using artificial neural network and statistical features,” IOP Conference Series: Materials Science and Engineering, vol. 160, no. 1, pp. 1–7, 2016.

DOI: https://doi.org/10.1088/1757-899X/160/1/012006

C. Y. Huang and Z. Dzulfikri, “Stamping monitoring by using an adaptive 1D convolutional neural network,” Sensors, vol. 21, no. 1, pp. 1–21, 2021.

DOI: https://doi.org/10.3390/s21010262

Z. Dzulfikri, P. W. Su, and C. Y. Huang, “Stamping tool conditions diagnosis: A deep metric learning approach,” Applied Sciences, vol. 11, no. 15, 2021.

DOI: https://doi.org/10.3390/app11156959.

A. Awasthi, K. K. Saxena, and V. Arun, “Sustainable and smart metal forming manufacturing process,” Materials Today: Proceedings, vol. 44, pp. 2069–2079, 2021.

DOI: https://doi.org/10.1016/j.matpr.2020.12.177.

D. Anh-Tuan and N. Dinh-Ngoc, “Design Complex-Stroke Press Using Synchronous Motors,” International Journal of Mechanical Engineering and Robotics Research, vol. 12, no. 4, pp. 249–257, 2023.

DOI: https://doi.org/10.18178/ijmerr.12.4.249-257

B. Zhu, Z. Chen, F. Hu, X. Dai, L. Wang, and Y. Zhang, “Feature Extraction and Microstructural Classification of Hot Stamping Ultra-High Strength Steel by Machine Learning,” JOM, vol. 74, no. 9, pp. 3466–3477, 2022.

DOI: https://doi.org/10.1007/s11837-022-05265-5

S. Senn and M. Liewald, "A New Approach for the Production of Burr-Free Sheet Metal Components Having Significantly Increased Residual Formability," in Proceedings of the International Conference on Sustainable Manufacturing and Engineering, Springer International Publishing, pp. 232-236, 2021.

DOI: https://doi.org/10.1007/978-3-030-75381-8_232

K. Ivanov, N. Kanagatova, A. Tuleshov, K. Bakhyieva and Y. Abussagatov, "Intellectual Hydraulic Devices: Evolution and Application of Adaptive Mechanisms," Bulletin of KazATC, vol. 130, no. 1, pp. 191-199, 2024.

DOI: https://doi.org/10.52167/1609-1817

D. Padovani, M. Rundo, and G. Altare, “The Working Hydraulics of Valve-Controlled Mobile Machines: Classification and Review,” Journal of Dynamic Systems, Measurement, and Control, vol. 142, no. 7, Mar. 2020.

DOI: https://doi.org/10.1115/1.4046334.

D. Jancarczyk, I. Wróbel, P. Danielczyk, and M. Sidzina, “Enhancing Vibration Analysis in Hydraulic Presses: A Case Study Evaluation,” Applied Sciences, vol. 14, no. 7, pp. 1–17, 2024.

DOI: https://doi.org/10.3390/app14073097

B. Karpuschewski, G. Byrne, B. Denkena, J. Oliveira, and A. Vereschaka, “Machining Processes,” in Springer Handbook of Mechanical Engineering, K.-H. Grote and H. Hefazi, Eds. Cham: Springer International Publishing, pp. 409–460, 2021.

DOI: https://doi.org/10.1007/978-3-030-47035-7_12

T. Bhuvaneswari, V. Chitra, and G. C. Cheng, “Voice Controlled Home Automation System Design,” International Journal of Robotics, Automation and Sciences, vol. 5, no. 2, pp. 94–100, 2023.

DOI: https://doi.org/10.33093/ijoras.2023.5.2.12

B. Thangavel, C. Venugopal, S. Immanuel, J. E. Raja, and W. C. Chua, “Design and Development of an Arduino-Based Automated Solar Grass Trimmer,” International Journal of Robotics, Automation and Sciences, vol. 6, no. 1, pp. 46–58, 2024.

DOI: https://doi.org/10.33093/ijoras.2024.6.1.7