Optimization of machining parameters during end milling of carbon fiber-reinforced polypropylene textile composite

Carbon fiber-reinforced polypropylene (CFRPP) composites are being used at an increasing rate in lightweight mechanical applications. The reasons are their excellent strength-to-weight ratio, corrosion resistance, and recyclability. However, their anisotropic and heterogeneous structure holds considerable challenges during machining processes, such as end milling, often resulting in surface defects and dimensional inaccuracies. The present study focuses on the optimization of milling parameters for CFRPP composites using the VIKOR technique and systematically investigates the influence of critical process variables, including feed rate, depth of cut, and spindle speed, on key output responses. These responses included machining temperature, machining force, delamination factor, and surface roughness. To develop and understand these models, a Box-Behnken experimental design of Response Surface Methodology was employed. Spindle speed had the highest influence on machining temperature (43.36%), followed by feed rate (32.77%) and depth of cut (21.74%). Machining force was mainly affected by feed rate (55.02%), depth of cut (31.02%), and spindle speed (12.83%). For delamination factor, feed rate contributed the most (54.53%), followed by depth of cut (27.21%) and spindle speed (17.09%). Surface roughness was also primarily influenced by feed rate (43.49%), followed by depth of cut (30.86%) and spindle speed (24.45%). The SEM analysis helped in understanding the defects such as fiber fracture, fiber pullout, voids, and matrix smearing.

Authors

Institutions

Publication Details

Journal
Journal of Thermoplastic Composite Materials
Published
2025-09-19
DOI
https://doi.org/10.1177/08927057251382831
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

Optimization of machining parameters during end milling of carbon fiber-reinforced polypropylene textile composite

S. R. Pathak, Anup Malik, Harlal Singh Mali
Journal of Thermoplastic Composite Materials
Advanced machining processes and optimization
article

Optimization of machining parameters during end milling of carbon fiber-reinforced polypropylene textile composite

S. R. Pathak, Anup Malik, Harlal Singh Mali
article en

Abstract

Carbon fiber-reinforced polypropylene (CFRPP) composites are being used at an increasing rate in lightweight mechanical applications. The reasons are their excellent strength-to-weight ratio, corrosion resistance, and recyclability. However, their anisotropic and heterogeneous structure holds considerable challenges during machining processes, such as end milling, often resulting in surface defects and dimensional inaccuracies. The present study focuses on the optimization of milling parameters for CFRPP composites using the VIKOR technique and systematically investigates the influence of critical process variables, including feed rate, depth of cut, and spindle speed, on key output responses. These responses included machining temperature, machining force, delamination factor, and surface roughness. To develop and understand these models, a Box-Behnken experimental design of Response Surface Methodology was employed. Spindle speed had the highest influence on machining temperature (43.36%), followed by feed rate (32.77%) and depth of cut (21.74%). Machining force was mainly affected by feed rate (55.02%), depth of cut (31.02%), and spindle speed (12.83%). For delamination factor, feed rate contributed the most (54.53%), followed by depth of cut (27.21%) and spindle speed (17.09%). Surface roughness was also primarily influenced by feed rate (43.49%), followed by depth of cut (30.86%) and spindle speed (24.45%). The SEM analysis helped in understanding the defects such as fiber fracture, fiber pullout, voids, and matrix smearing.

Journal of Thermoplastic Composite MaterialsVol. 39(4)
Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 74%
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.

Optimization of machining parameters during end milling of carbon fiber-reinforced polypropylene textile composite — S. R. Pathak, Anup Malik, et al. · Journal of Thermoplastic Composite Materials (2025) | TGRS Research Map | TGRS