Efficient machining by elastic abrasive wheels

Dimov, Yu. V.; Podashev, Dmitriy

doi:10.3103/s1068798x17070097

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The established dependences of filament wear on cutting modes qualitatively coincide with the results of studies for similar tools considering the wear process from the point of view of tribology [13,14,15]. The results of the experiments confirm the studies [12,17], in which it was substantiated that wear depends on thermal processes in the machining zone, the material being processed, interference and cutting speed.…”

Section: Evaluation Of the Influence Of Processing Parameters On The ...supporting

confidence: 84%

See 1 more Smart Citation

Model of Influence of the Machined Material Properties on Wear of the Polymeric-Abrasive Tool Filaments

Honchar

Tryshyn

Павленко

et al. 2023

Strojnícky Časopis - Journal of Mechanical Engineering

View full text Add to dashboard Cite

For polymer-abrasive brush tools (PABT) working on CNC machines it is necessary to correct their wear constantly, since it is much higher compared to the wear of metal tools. Based on the dependence of tool wear on machining parameters for various materials, it is necessary to study the influence of the physical and mechanical properties of the material machined. The purpose of the paper is to study the process of finishing the surfaces of parts made of materials of different types with PABT. The analysis of dimensional wear of disc PABTs during the polishing various materials with certain physical and mechanical properties is provided in the article. The polishing was carried out in rational modes that ensure high quality and productivity of surface treatment. The similarity theory and dimensional analysis were used to assess the influence of the properties of the material machined on the intensity of PABT filament wear. To calculate it, dimensionless complexes were established, which take into account the physical and mechanical properties of the machined materials and evaluate their resistance to the penetration of abrasive grains, the ability of the material to absorb mechanical energy in the process of deformation and destruction under the impact of PABT filaments. The developed model was created for the first time. It made it possible to solve the problem of predicting the degree of dimensional wear of the disc PABT when polishing various materials, including difficult-to-machine ones. Prediction of the intensity of PABT filaments wear allows timely correction of the tool position during machining on CNC machines to ensure a constant pressing of the PABT to the surface being machined. The obtained Км material coefficient takes into account the influence of the physical and mechanical properties of the machined material and then estimates the intensity of PABT filaments wear. The KМ material coefficient can also be used to assess the PABT life and calculate the economic efficiency of the parts finishing treatment at the stage of technology development and the selection of polishing tools.

show abstract

Section: Evaluation Of the Influence Of Processing Parameters On The ...supporting

confidence: 84%

“…In [13], the dependence of the wear intensity of BB-ZB abrasive brushes from Scotch-Brite on the machining modes when rounding the part edges was experimentally obtained. The tool used in these experiments is similar to PABT principle.…”

Section: Introductionmentioning

confidence: 99%

Model of Influence of the Machined Material Properties on Wear of the Polymeric-Abrasive Tool Filaments

Honchar

Tryshyn

Павленко

et al. 2023

Strojnícky Časopis - Journal of Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…It is characterized by poor quality and performance, high surface gouging risks and development of other machining errors. Studies on abrasive edge machining are promising [7]. However, tools applied for edge machining are not abrasion resistant [6].…”

Section: Introductionmentioning

confidence: 99%