journal article·2025-08-17Open access

Improving Surface Roughness of 42CrMo4 Low Alloy Steel Shafts by Applying Varying Feed in the Multi-Pass Slide Burnishing Process

Frezgi Tesfom Kebede, Csaba Felho, István Sztankovics

Applied Sciences· Volume 15· Issue 16

Abstract

Burnishing is a critical surface finishing process that uses a hard tool to apply pressure on the surface, lasting one or multiple passes to plastically deform surface asperities on high-performance alloys like 42CrMo4 steel. But the conventional method fails to efficiently enhance surface properties by selecting specifically the values of feed in all passes that follow the same path, missing uneven asperities. In this study, surfaces are burnished with multiple passes by changing the feed in each pass, hypothesizing that the approach can optimize the plastic deformation mechanism. By applying this approach, the tool’s path is deviated from its previous path to enhance the surface integrity by targeting residual surface anomalies. Controlled four levels of forces (60, 90, 120, 150 N), four feed levels (0.02, 0.08, 0.14, and 0.2 mm/rev), and three levels of passes (2, 3, 4) were applied on the proposed method and the conventional method to evaluate and compare their effects. Experimental results confirmed better surface roughness by the varying feed approach, demonstrating its efficacy in enhancing finishing quality through controlled plastic deformation. The analyzed Sa, Ssk, Sku, Sk, Spk, and Svk showed changed topography by both methods, specifically 0.02 mm/rev feed in the old and feed combination in the feed-varying method, which included 0.02 mm/rev, produced smoother surfaces, but the highest elapsed time. The findings generally highlight the potential of adaptive feed strategies to overcome limitations of conventional burnishing, offering a viable solution for precision finishing of high-performance alloys.
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Research context

OpenAlex topics: Material Properties and Applications · Metal Alloys Wear and Properties · Surface Treatment and Residual Stress

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, Mai Nefhi College of Engineering and Technology, Asmara 291, Eritrea

Institute of Manufacturing Science, University of Miskolc, H-3515 Miskolc, Hungary

Funding

Ministry of Culture and Innovation of Hungary from the National Research, Development, and Innovation Fund

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