A novel empirical modeling approach for energy and resource efficiency in low carbon machining of Ti6Al4V
摘要
The metal processing industry faces significant environmental and energy consumption challenges, which are increasingly important in global sustainability initiatives. Traditional metal-cutting methods, which involve substantial quantities of cutting fluids and generate considerable waste and emissions, are now considered unsustainable. The sustainability assessment and environmental impacts of cooling-lubricating assisted machining of Ti-6Al-4V alloys have not been studied holistically. This research aims to develop a new empirical model for the comprehensive understanding of the energy consumption and carbon emissions associated with clean-cutting processes. To achieve this, a series of milling tests were conducted using different clean-cutting techniques, including green wet cutting (pouring), Minimum Quantity Lubrication (MQL), Cryogenic CO2 cooling and hybrid CO2 mixed with minimum quantity lubrication ( CO2-MQL ). The CO2-MQL technique stood out among the tested methods, showing a remarkable improvement in energy efficiency and carbon emissions reduction. Specifically, this method demonstrated up to 30% better energy efficiency than traditional methods. Additionally, it significantly reduced carbon emissions, supporting the premise that integrating CO2 with minimal quantity lubrication could offer a dual benefit of enhanced cooling and lubrication while minimizing environmental impact. The success of the CO2-MQL technique highlights the potential for scalable improvements in energy and emissions reductions across the metal processing industry, suggesting a viable pathway toward greener manufacturing practices. This study provides fundamental knowledge about the environmental impact of machining processes used in metal processes industry and reduce waste related pollution.