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Paper ID:IJSREM65869

Advances in Robot-Assisted Gas Bag Polishing for Precision Manufacturing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65869

Volume:

10 |

7 |

Jul 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65869

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Akash Narayanrao Zol

Akash Narayanrao Zol

Mechanical Engineering

CSMSS CHH. SHAHU COLLEGE OF ENGINEERING

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V. Y. Gosavi

V. Y. Gosavi

Mechanical Engineering

CSMSS CHH. SHAHU COLLEGE OF ENGINEERING

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Dr. R. H. Shinde

Dr. R. H. Shinde

Mechanical Engineering

CSMSS CHH. SHAHU COLLEGE OF ENGINEERING

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Abstract

The increasing demand for high-precision components in aerospace, automotive, biomedical, mould and die, and optical industries has intensified the need for advanced polishing technologies capable of producing superior surface quality on complex free-form surfaces. Conventional polishing methods are often labor-intensive, time-consuming, and highly dependent on operator expertise, resulting in inconsistent surface finishes and limited process repeatability. Robot-assisted polishing has emerged as a promising solution by offering enhanced automation, precise motion control, and consistent polishing performance. Among the various compliant polishing techniques, gas bag polishing has gained significant attention due to its flexible contact characteristics, ability to conform to complex geometries, and capability to maintain uniform contact pressure during polishing. This paper reviews the recent advancements in robot-assisted gas bag polishing, including its working principle, abrasive particle behavior, magnetorheological and magnetic abrasive gas bag polishing, pulse-assisted polishing, and related flexible polishing technologies. Furthermore, the review highlights the influence of process parameters, compliance control, and tool design on polishing performance. Finally, current research challenges and future directions, including intelligent force control, artificial intelligence-based process optimization, digital twin technology, and adaptive robotic polishing systems, are discussed to provide insights into the future development of precision manufacturing technologies.

KEYWORDS

Robot-assisted polishing Gas bag polishing Free-form surfaces Precision manufacturing Flexible polishing Magnetorheological polishing Surface finishing Process optimization.

Cite This Article

Akash Narayanrao Zol, V. Y. Gosavi, Dr. R. H. Shinde, "Advances in Robot-Assisted Gas Bag Polishing for Precision Manufacturing," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-4, Jul 2026. https://doi.org/10.55041/IJSREM65869

Full Article/Conclusion

Robot-assisted gas bag polishing has emerged as a promising flexible polishing technology for precision manufacturing, particularly for complex free-form surfaces. Its compliant polishing mechanism enables uniform contact pressure and improved surface quality compared with conventional rigid polishing methods. Recent developments, including magnetorheological and magnetic abrasive gas bag polishing, have significantly enhanced material removal efficiency, polishing stability, and surface finish. Although considerable progress has been achieved, maintaining accurate contact force and pressure remains a critical challenge for achieving consistent polishing performance on complex geometries. Future advancements are expected to focus on intelligent force control, AI-based process optimization, digital twin technology, machine vision, and real-time surface roughness prediction. The integration of these technologies with smart robotic systems will enable autonomous, adaptive, and highly efficient polishing processes, making robot-assisted gas bag polishing a key technology for next-generation precision manufacturing applications.  

References

[1] Z. Wu, J. Shen, X. Wu, Y. Peng, S. Lin, X. Huang, J. Liu, and L. Huang, "Research on polishing aluminum alloy optical elements with a new solid flexible bonnet tool," Journal of Manufacturing Processes, vol. 103, pp. 168–180, 2023. [2] J. Li, Y. Guan, H. Chen, B. Wang and T. Zhang, "Robotic Polishing of Unknown-Model Workpieces With Constant Normal Contact Force Control," in IEEE/ASME Transactions on Mechatronics, vol. 28, no. 2, pp. 1093-1103, April 2023 [3] Peng, Y. & Shen, Bingyi & Wang, Zhenzhong & Yang, Ping & Yang, Wei & Bi, Guo. (2021). Review on polishing technology of small-scale aspheric optics. The International Journal of Advanced Manufacturing Technology. 115. 10.1007/s00170-021-07202-3. [4] P. Xu, C. F. Cheung, B. Li, L. T. Ho, J. F. Zhang, and M. Y. Liu, “Novel hybrid robot and its processes for precision polishing of freeform surfaces,” Precision Engineering, vol. 64, pp. 53–62, 2020. [3] Z. Xia, F. Fang, E. Ahearne, and M. Tao, “Advances in polishing of optical freeform surfaces: A review,” Journal of Materials Processing Technology, vol. 286, p. 116828, 2020. [4] A. P. S. Arunachalam, Y. T. Tian, M. M. Rahman, A. K. Parashar, and S. Kumar, “A novel retractable stiffener-based disk-shaped active compliant polishing tool for robotic polishing applications,” Journal of Manufacturing Processes, vol. 51, pp. 83–94, 2020. [5] T. Jiang, J. Liu, J. Pi, Z. Xu, and Z. Shen, “Simulation and experimental study on the concave influence function in high efficiency bonnet polishing for large aperture optics,” The International Journal of Advanced Manufacturing Technology, vol. 99, no. 1–4, pp. 575–586, 2018. [6] X. Lin, D. Wu, Y. Yang, G. Yang, Y. Gao, M. Li, and J. Liu, “Flexible CNC polishing process and surface integrity of blades,” Journal of Mechanical Science and Technology, vol. 32, no. 6, pp. 2735–2746, 2018. [7] R. Pan, Y. Zhang, C. Cao, M. Sun, Z. Wang, and Y. Peng, “The effect of tool wear on the removal characteristics in high-efficiency bonnet polishing,” The International Journal of Advanced Manufacturing Technology, vol. 92, no. 1–4, pp. 1381–1392, 2017. [8] Y. Wu, J. Zhang, J. Liu, X. Chen, and Y. Wang, “Prediction of surface quality considering the influence of the curvature radius for polishing of a free-form surface based on local shapes,” The International Journal of Advanced Manufacturing Technology, vol. 92, no. 5–8, pp. 1993–2008, 2017. [9] R. Pan, X. Chen, B. Zhong, J. Wang, Y. Zhang, and C. Cao, “Modification of tool influence function of bonnet polishing based on interfacial friction,” The International Journal of Advanced Manufacturing Technology, vol. 93, no. 1–4, pp. 1465–1480, 2017. [10] X. Lin, Y. Shi, Y. Yang, G. Wu, Y. Gao, M. Li, and J. Liu, “Prediction of surface roughness ratio of polishing blade by abrasive cloth wheel polishing,” The International Journal of Advanced Manufacturing Technology, vol. 87, no. 1–4, pp. 653–666, 2016.

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Publication Date

7/6/2026

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Review Rounds: 2

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