Advancements in Hybrid Abrasive Flow Finishing: Fundamentals, Technological Developments, and Industrial Applications in Precision Manufacturing

Abdul Wahab Hashmi , Yebing Tian , Hongjie Sun , Arsalan Ahmad , Chunjin Wang , Dazhong Wang , Mamilla Ravi Sankar

Intell. Sustain. Manuf. ›› 2025, Vol. 2 ›› Issue (2) : 10031

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Intell. Sustain. Manuf. ›› 2025, Vol. 2 ›› Issue (2) :10031 DOI: 10.70322/ism.2025.10031
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Advancements in Hybrid Abrasive Flow Finishing: Fundamentals, Technological Developments, and Industrial Applications in Precision Manufacturing
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Abstract

Hybrid-Based Abrasive Flow Finishing (HAFF) represents a significant evolution in precision manufacturing, particularly in addressing the inherent limitations of traditional finishing techniques when dealing with complex geometries and challenging materials. HAFF achieves remarkable precision in managing particle motion by blending state-of-the-art energy inputs and mechanical reinforcements, including sonic vibrations, electromagnetic influences, and beam-guided supports, which accelerate the pace of material extraction and elevate the overall finish of surfaces. This paper comprehensively reviews various HAFF approaches, including energy-assisted methods(e.g., electrochemical, ultrasonic, and laser), force-assisted techniques (e.g., magnetic, hydrodynamic, and vibration), and hybrid energy-force integrated systems. Recent advancements, such as cryogenic-assisted, rotational-assisted, and magnetorheological-assisted AFF, are also discussed in this review. Recent studies from 2023 to 2025 highlight improvements in material removal rates of up to 80% and reductions in surface roughness of over 90% across various HAFF variants, underscoring the timeliness of these developments. Incorporating diverse power sources and mechanical aids into HAFF allows for exact oversight of particle interactions, speeding up the removal of excess material, refining the exterior finish, and broadening its utility across detailed designs and tough-to-process substances. Despite significant progress, challenges persist in scaling HAFF processes for industrial applications, improving cost efficiency, and implementing effective real-time monitoring systems. The future trajectory of HAFF research will focus on the development of innovative abrasive media, advanced automation technologies, artificial Intelligence techniques, and sustainable manufacturing practices. This study examines all existing HAFF technology solutions and evaluates product applications for aerospace, automotive, medical equipment, and micro-manufactured devices. The discussion highlights the industries that require more advanced technological investigations.

Keywords

Hybrid-based abrasive flow finishing (HAFF) / Surface finish / Material removal rate / Electrochemical polishing / Ultrasonic machining / Magnetic field assisted processing / Vibration assisted machining

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Abdul Wahab Hashmi, Yebing Tian, Hongjie Sun, Arsalan Ahmad, Chunjin Wang, Dazhong Wang, Mamilla Ravi Sankar. Advancements in Hybrid Abrasive Flow Finishing: Fundamentals, Technological Developments, and Industrial Applications in Precision Manufacturing. Intell. Sustain. Manuf., 2025, 2(2): 10031 DOI:10.70322/ism.2025.10031

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Statement of the Use of Generative AI and AI-Assisted Technologies in the Writing Process

During the preparation of this work the authors used Grammarly and Paperpal in order to improve readability and language. After using these tools, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

Author Contributions

Conceptualization, A.W.H., Y.T. and H.S.; Methodology, A.W.H. and A.A.; Investigation, A.W.H., H.S. and A.A.; Data Curation, A.W.H.; Writing—Original Draft Preparation, A.W.H.; Writing—Review & Editing, Y.T., H.S., A.A., C.W., D.W. and M.R.S.; Visualization, A.W.H. and A.A.; Supervision, Y.T.; Project Administration, Y.T.; Funding Acquisition, Y.T., C.W. and D.W. All authors have read and agreed to the published version of the manuscript.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Funding

This work was financially supported by the National Natural Science Foundation of China (Nos. 52575516, 51875329), Taishan Scholar Special Foundation of Shandong Province (Nos. tstp20240826, tsqn201812064), Ningxia Hui Autonomous Region Key Research and Development Project (No. 2024BEE02019), and Shandong Provincial Natural Science Foundation (No. ZR2023ME112).

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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