Environmentally sustainable machining of copper alloys: Reducing energy demand and enhancing surface quality in EDM of eco-friendly Cu-Ni-Si-Cr alloys

The global shift towards sustainable manufacturing has driven demand for safer, environmentally friendly alternatives to conventional beryllium copper (Be-Cu) alloys, which pose serious health and environmental risks due to beryllium toxicity. This necessitates the use of environmentally friendly copper-nickel-silicon-chromium (Cu-Ni-Si-Cr) alloys, which have properties comparable to those of Be-Cu. They possess high hardness and strength; therefore, non-contact machining techniques, such as electrical discharge machining (EDM), should be employed to machine these materials. This study focuses on advancing green manufacturing practices by utilising Cu-Ni-Si-Cr alloys in place of Be-Cu alloys and optimising the EDM for these materials, with a strong emphasis on reducing process-level energy consumption and improving surface quality. A key parameter investigated in this work is specific energy consumption (SEC), which serves as the primary indicator of the electrical energy used in the process. Three-dimensional (3D) surface topography parameters, such as arithmetic mean height (Sa), autocorrelation length (Sal), and valley void volume (Vvv), are also studied to assess the functionality and potential performance of machined parts, as these parameters are critical for reducing frictional losses and energy consumption. Four input variables, pulse-on time ( T ON ), pulse-off time ( T OFF ), electrode material, and polarity, were studied using a 36-run full-factorial design in Minitab. A multi-objective optimisation technique is applied to simultaneously reduce SEC and Sa, while improving Sal and Vvv, thereby achieving both improved energy utilisation and enhanced surface characteristics. The optimal setup, which utilised an electrolytic-Cu electrode with negative polarity, a 200 µs T ON , and a 6 µs T OFF , resulted in an SEC of 3.02 kJ/mm 3 , a Vvv of 0.35 ml/m 2 , a Sal of 62.09 µm, and a Sa of 2.56 µm. The findings reveal that Cu-Ni-Si-Cr alloys, when combined with process-level optimisation, can deliver measurable reductions in specific energy demand and improved part performance.

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Published
2026-05-19
DOI
https://doi.org/10.1177/09544089261452308
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmentally sustainable machining of copper alloys: Reducing energy demand and enhancing surface quality in EDM of eco-friendly Cu-Ni-Si-Cr alloys

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Advanced Machining and Optimization Techniques
article

Environmentally sustainable machining of copper alloys: Reducing energy demand and enhancing surface quality in EDM of eco-friendly Cu-Ni-Si-Cr alloys

article en

Abstract

The global shift towards sustainable manufacturing has driven demand for safer, environmentally friendly alternatives to conventional beryllium copper (Be-Cu) alloys, which pose serious health and environmental risks due to beryllium toxicity. This necessitates the use of environmentally friendly copper-nickel-silicon-chromium (Cu-Ni-Si-Cr) alloys, which have properties comparable to those of Be-Cu. They possess high hardness and strength; therefore, non-contact machining techniques, such as electrical discharge machining (EDM), should be employed to machine these materials. This study focuses on advancing green manufacturing practices by utilising Cu-Ni-Si-Cr alloys in place of Be-Cu alloys and optimising the EDM for these materials, with a strong emphasis on reducing process-level energy consumption and improving surface quality. A key parameter investigated in this work is specific energy consumption (SEC), which serves as the primary indicator of the electrical energy used in the process. Three-dimensional (3D) surface topography parameters, such as arithmetic mean height (Sa), autocorrelation length (Sal), and valley void volume (Vvv), are also studied to assess the functionality and potential performance of machined parts, as these parameters are critical for reducing frictional losses and energy consumption. Four input variables, pulse-on time ( T ON ), pulse-off time ( T OFF ), electrode material, and polarity, were studied using a 36-run full-factorial design in Minitab. A multi-objective optimisation technique is applied to simultaneously reduce SEC and Sa, while improving Sal and Vvv, thereby achieving both improved energy utilisation and enhanced surface characteristics. The optimal setup, which utilised an electrolytic-Cu electrode with negative polarity, a 200 µs T ON , and a 6 µs T OFF , resulted in an SEC of 3.02 kJ/mm 3 , a Vvv of 0.35 ml/m 2 , a Sal of 62.09 µm, and a Sa of 2.56 µm. The findings reveal that Cu-Ni-Si-Cr alloys, when combined with process-level optimisation, can deliver measurable reductions in specific energy demand and improved part performance.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Mangosuthu University of Technology (ZA), Cochin University of Science and Technology (IN)
Openalex Percentile: Top 8%
Advanced Machining and Optimization Techniques
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.