Analysis of abrasives on cutting edge preparation by drag finishing

Lv, Dejin; Wang, Yongguo; Yu, Xin; Chen, Han; Gao, Yuan

doi:10.1007/s00170-021-08623-w

Cited by 15 publications

(8 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, Lv et al conducted a study in which they investigated different combinations of media for drag finishing on carbide tools. Their objective was to determine the optimal conditions that would result in minimal microchipping and a surface roughness of less than 0.1 µm [37]. Although each of these methods has its own unique advantages, our micro-machining process offers a well-rounded approach that effectively tackles both surface roughness and the reduction in microchipping.…”

Section: Resultsmentioning

confidence: 99%

An Investigation into the Surface Integrity of Micro-Machined High-Speed Steel and Tungsten Carbide Cutting Tools

Dang,

Singh,

Navarro-Devia

et al. 2023

Micromachines

View full text Add to dashboard Cite

The performance and lifespan of cutting tools are significantly influenced by their surface quality. The present report highlights recent advances in enhancing the surface characteristics of tungsten carbide and high-speed steel cutting tools using a novel micro-machining technique for polishing and edge-honing. Notably, the main aim was to reduce the surface roughness while maintaining the hardness of the materials at an optimal level. By conducting a thorough analysis of surfaces obtained using different techniques, it was found that the micro-machining method effectively decreased the surface roughness of the cutting tools the most effectively out of the techniques investigated. Significantly, the surface roughness was reduced from an initial measurement of 400 nm to an impressive value of 60 nm. No significant change in hardness was observed, which guarantees the maintenance of the mechanical properties of the cutting tools. This analysis enhances the comprehension of surface enhancement methodologies for cutting tools through the presentation of these findings. The observed decrease in surface roughness, along with the consistent hardness, exhibits potential for improving tool performance. These enhancements possess the capacity to optimise manufacturing processes, increase tool reliability, and minimise waste generation.

show abstract

Section: Resultsmentioning

confidence: 99%

An Investigation into the Surface Integrity of Micro-Machined High-Speed Steel and Tungsten Carbide Cutting Tools

Dang,

Singh,

Navarro-Devia

et al. 2023

Micromachines

View full text Add to dashboard Cite

show abstract

“…This is possible primarily because of the size of the abrasive grain. That is, the larger the grain size, the greater the cutting edge and cutting capacity [ 14 ]. In addition, it is understood from physics that, as the immersion depth increases, the greater the pressure of the grain surface interaction of the cutting edge, which will contribute to greater material removal.…”

Section: Resultsmentioning

confidence: 99%

“…This is because it is directly related to the costs of the process. For this purpose, the material removal rate ( MRR ) is a metric that helps to visualize the process of obtaining the cutting edge [ 4 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Drag Finishing Abrasive Effect for Cutting Edge Preparation in Broaching Tool

2022

View full text Add to dashboard Cite

In recent years, cutting edge preparation became a topic of high interest in the manufacturing industry because of the important role it plays in the performance of the cutting tool. This paper describes the use of the drag finishing DF cutting edge preparation process on the cutting tool for the broaching process. The main process parameters were manipulated and analyzed, as well as their influence on the cutting edge rounding, material remove rate MRR, and surface quality/roughness (Ra, Rz). In parallel, a repeatability and reproducibility R&R analysis and cutting edge radius re prediction were performed using machine learning by an artificial neural network ANN. The results achieved indicate that the influencing factors on re, MRR, and roughness, in order of importance, are drag depth, drag time, mixing percentage, and grain size, respectively. The reproducibility accuracy of re is reliable compared to traditional processes, such as brushing and blasting. The prediction accuracy of the re of preparation with ANN is observed in the low training and prediction errors 1.22% and 0.77%, respectively, evidencing the effectiveness of the algorithm. Finally, it is demonstrated that the DF has reliable feasibility in the application of edge preparation on broaching tools under controlled conditions.

show abstract

“…A significant amount of relevant research has also been conducted in this area. Lv et al undertook a comparative study of the DF outcomes on cemented carbide milling tools using different materials [10]. F. Pérez-Salinas et al conducted experimental research on broach DF and utilized artificial neural networks to predict the tool edge radius [11].…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Analysis of abrasives on cutting edge preparation by drag finishing

Cited by 15 publications

References 47 publications

An Investigation into the Surface Integrity of Micro-Machined High-Speed Steel and Tungsten Carbide Cutting Tools

An Investigation into the Surface Integrity of Micro-Machined High-Speed Steel and Tungsten Carbide Cutting Tools

Estimation of Drag Finishing Abrasive Effect for Cutting Edge Preparation in Broaching Tool

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

Contact Info

Product

Resources

About