Fundamental theory and experimental study on ball milling process of SiCp/Al composites

In order to reveal the influence of cutting parameters on the surface roughness and surface morphology of SiCp/Al composites, the milling experiment of SiCp/Al 2009 composites with volume fraction of 20% was carried out by using polycrystalline diamond ball-end milling cutter. The three-dimensional finite-element modeling and simulation of the milling process are carried out, and the influence of the removal of the matrix and SiC particles on the surface quality of the composite material is expounded. The single-factor experimental design and response surface experimental design were used in the experiment, and the analysis of variance was used to check the dependence of cutting parameters and their interaction, and the prediction model of surface roughness was compared with the actual model. The surface and subsurface morphologies of the workpiece were observed by laser scanning confocal microscope and scanning electron microscope, and the influence of cutting parameters on the surface quality was analyzed. The results show that the milling depth has the greatest influence on the surface roughness, followed by the milling speed, and the feed speed has the least influence on the surface roughness. The optimal value of the surface roughness of milling is 0.034 μm, the machined surface has obvious pits, cracks, burrs, and the subsurface of the workpiece has the phenomenon of particle breakage, pits, and shedding.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Published
2025-08-04
DOI
https://doi.org/10.1177/09544089251362971
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fundamental theory and experimental study on ball milling process of SiCp/Al composites

Quanzhao Wang, Qi Gao, Di Zhu, Xin Zhang et al.
3 links
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Advanced machining processes and optimization
article

Fundamental theory and experimental study on ball milling process of SiCp/Al composites

Quanzhao Wang, Qi Gao, Di Zhu, Xin Zhang, Dongzhou Jia
article en

Abstract

In order to reveal the influence of cutting parameters on the surface roughness and surface morphology of SiCp/Al composites, the milling experiment of SiCp/Al 2009 composites with volume fraction of 20% was carried out by using polycrystalline diamond ball-end milling cutter. The three-dimensional finite-element modeling and simulation of the milling process are carried out, and the influence of the removal of the matrix and SiC particles on the surface quality of the composite material is expounded. The single-factor experimental design and response surface experimental design were used in the experiment, and the analysis of variance was used to check the dependence of cutting parameters and their interaction, and the prediction model of surface roughness was compared with the actual model. The surface and subsurface morphologies of the workpiece were observed by laser scanning confocal microscope and scanning electron microscope, and the influence of cutting parameters on the surface quality was analyzed. The results show that the milling depth has the greatest influence on the surface roughness, followed by the milling speed, and the feed speed has the least influence on the surface roughness. The optimal value of the surface roughness of milling is 0.034 μm, the machined surface has obvious pits, cracks, burrs, and the subsurface of the workpiece has the phenomenon of particle breakage, pits, and shedding.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Liaoning University of Technology (CN)
Openalex Percentile: Top 81%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.