Manufacturing and characterisation of highly porous metal bonded diamond grinding wheels

Currently, there is no economical method for producing porous metal-bonded diamond grinding wheels. The availability of such a method would allow for the combination of the advantages of a highly porous vitrified-bonded grinding wheel with the high strength of a metal-bonded grinding wheel. This work investigates two methods for the production of porous metal-bonded grinding wheels to achieve this goal. It is shown that it is possible to produce porous metal bonds for grinding tools based upon small adjustments to a FAST sintering process. This allows the production of porous metal-bonded grinding tools with existing infrastructure and known bonding systems. A model is derived for the reproducible design of porosity up to 30 % by volume based on manufacturing parameters, as well as the influence of the pore content on the mechanical properties of the bond material. Secondly, a method for evaluating the self-sharpening behaviour of grinding wheel bonds depending on the workpiece material is proposed. In grinding experiments using dense and porous metal-bonded grinding wheels, the increased self-sharpening effect for the porous bond is confirmed as well as a reduction in grinding forces. This shows the high potential of metallic porous bonds with regard to self-sharpening. • New method for the production of metallic grinding wheel bonds with high porosity. • Mechanical properties of metallic bonds can be adjusted by tuning the porosity. • New method to investigate the self-sharpening potential of grinding wheel bonds.

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Publication Details

Journal
CIRP journal of manufacturing science and technology
Published
2024-12-21
DOI
https://doi.org/10.1016/j.cirpj.2024.12.006
Citations
3
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.64
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article

Manufacturing and characterisation of highly porous metal bonded diamond grinding wheels

Lennart Puls, Benjamin Bergmann, M. Friedrich, Daniel Raffalt et al.
3 citations
CIRP journal of manufacturing science and technology
Advanced machining processes and optimization
0.64
article

Manufacturing and characterisation of highly porous metal bonded diamond grinding wheels

Lennart Puls, Benjamin Bergmann, M. Friedrich, Daniel Raffalt, Berend Denkena, Kai Lübbermann
article en
3 citations

Abstract

Currently, there is no economical method for producing porous metal-bonded diamond grinding wheels. The availability of such a method would allow for the combination of the advantages of a highly porous vitrified-bonded grinding wheel with the high strength of a metal-bonded grinding wheel. This work investigates two methods for the production of porous metal-bonded grinding wheels to achieve this goal. It is shown that it is possible to produce porous metal bonds for grinding tools based upon small adjustments to a FAST sintering process. This allows the production of porous metal-bonded grinding tools with existing infrastructure and known bonding systems. A model is derived for the reproducible design of porosity up to 30 % by volume based on manufacturing parameters, as well as the influence of the pore content on the mechanical properties of the bond material. Secondly, a method for evaluating the self-sharpening behaviour of grinding wheel bonds depending on the workpiece material is proposed. In grinding experiments using dense and porous metal-bonded grinding wheels, the increased self-sharpening effect for the porous bond is confirmed as well as a reduction in grinding forces. This shows the high potential of metallic porous bonds with regard to self-sharpening. • New method for the production of metallic grinding wheel bonds with high porosity. • Mechanical properties of metallic bonds can be adjusted by tuning the porosity. • New method to investigate the self-sharpening potential of grinding wheel bonds.

CIRP journal of manufacturing science and technologyVol. 56
Leibniz University Hannover (DE)
Openalex Percentile: Top 34%
Advanced machining processes and optimization
0.64
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