Cutting Temperature and Surface Roughness in Turning of Wire Arc Additively Manufactured Aluminium Alloy Parts

Wire Arc Additive Manufacturing (WAAM) based on Cold Metal Transfer (CMT) welding produces near-net-shape metallic components, but post-process machining remains essential for dimensional accuracy and surface quality. This study investigates the dry turning machinability of EN AW-5083 aluminium alloy parts produced by CMT-based WAAM, focusing on tool-holder temperature (Tth) as a relative thermal indicator and surface roughness. Tth was monitored with a K-type thermocouple embedded in the tool holder and an Arduino-based data acquisition unit, while surface roughness (Ra) was measured with a portable contact profilometer after each pass. Three machining parameters—cutting speed, feed rate, and depth of cut—were investigated using a Taguchi L18 orthogonal array, with significance assessed through S/N ratio analysis and ANOVA. Grey Relational Analysis (GRA) was applied for multi-response optimisation, benchmarked against published machinability data for wrought and WAAM-fabricated aluminium alloys. Surface roughness was governed predominantly by feed rate, while Tth was most strongly influenced by depth of cut. The combined Taguchi–GRA optimisation identified a parameter set minimising both responses simultaneously. Benchmarking against three literature sources showed that the surface roughness achieved for the investigated CMT-WAAM material falls within the range reported for wrought EN AW-5083 under comparable machining conditions. These findings provide practical guidance for post-process machining of WAAM-produced aluminium components in hybrid manufacturing chains.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2026-09-25
DOI
https://doi.org/10.3390/jmmp10100378
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
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article

Cutting Temperature and Surface Roughness in Turning of Wire Arc Additively Manufactured Aluminium Alloy Parts

Róbert Keresztes, Sándor Fenyvesi
Journal of Manufacturing and Materials Processing
Additive Manufacturing Materials and Processes
article

Cutting Temperature and Surface Roughness in Turning of Wire Arc Additively Manufactured Aluminium Alloy Parts

Róbert Keresztes, Sándor Fenyvesi
article en

Abstract

Wire Arc Additive Manufacturing (WAAM) based on Cold Metal Transfer (CMT) welding produces near-net-shape metallic components, but post-process machining remains essential for dimensional accuracy and surface quality. This study investigates the dry turning machinability of EN AW-5083 aluminium alloy parts produced by CMT-based WAAM, focusing on tool-holder temperature (Tth) as a relative thermal indicator and surface roughness. Tth was monitored with a K-type thermocouple embedded in the tool holder and an Arduino-based data acquisition unit, while surface roughness (Ra) was measured with a portable contact profilometer after each pass. Three machining parameters—cutting speed, feed rate, and depth of cut—were investigated using a Taguchi L18 orthogonal array, with significance assessed through S/N ratio analysis and ANOVA. Grey Relational Analysis (GRA) was applied for multi-response optimisation, benchmarked against published machinability data for wrought and WAAM-fabricated aluminium alloys. Surface roughness was governed predominantly by feed rate, while Tth was most strongly influenced by depth of cut. The combined Taguchi–GRA optimisation identified a parameter set minimising both responses simultaneously. Benchmarking against three literature sources showed that the surface roughness achieved for the investigated CMT-WAAM material falls within the range reported for wrought EN AW-5083 under comparable machining conditions. These findings provide practical guidance for post-process machining of WAAM-produced aluminium components in hybrid manufacturing chains.

Journal of Manufacturing and Materials ProcessingVol. 10(10)
Agricultural Biotechnology Institute (HU), University of Pecs (HU)
Openalex Percentile: Top 21%
Additive Manufacturing Materials and Processes
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