A new theoretical model for surface roughness prediction in rotational abrasive finishing process

Azami, Aref; Khoshanjam, Ali; Jerez-Mesa, Ramón; Llumà, Jordi; Travieso-Rodriguez, Jose Antonito

doi:10.1016/j.wear.2023.204772

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…The authors integrated the concept of localized plastic deformation and energy absorption methods in their investigation of material removal in plastic materials with fluidized bed finishing [15,16]. Azami et al proposed a novel theoretical model for predicting surface roughness after gyroscopic finishing, factoring in parameters like abrasive particle size, velocity, and gap distance [17].…”

Section: Introductionmentioning

confidence: 99%

Research on Cutting Edge form Factor of Milling Tool after Drag Finishing Preparation Based on Discrete Element Method

Zhou,

Wang,

2024

Machines

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Cutting edge preparation is a precision machining process that improves the surface quality of cutting tools through the relative movement of abrasives and the tool. Research on removing materials in drag finishing can be greatly beneficial to tool manufacturing. This paper proposes the hypothesis that both abrasive wear and erosion wear act on the surface of milling tools and discusses the material removal models for abrasive wear and erosion wear. The influence of immersion depth, abrasive velocity, abrasive radius, and abrasive density on the material removal rate in two material removal forms is compared and validated by discrete element simulations. The results show that immersion depth has a greater impact on abrasive wear, while abrasive properties have a greater impact on erosion wear. The correlation between simulation results and theoretical models demonstrates the sensitivity of the two forms of wear on this surface to parameter change differences. Dragging finishing was conducted to verify the effectiveness of the simulation, and the effects of immersion depth, dragging velocity, and abrasive properties on the edge radius and form factor (K value) were studied.

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Section: Introductionmentioning

confidence: 99%