"Evaluation of Optimum Process Parameters Based on Specific Cutting Ene" by Rukmini Srikant Revuru, Kethavath Tejasvi Sanjay et al.
 

Faculty Publications

Evaluation of Optimum Process Parameters Based on Specific Cutting Energy in Turning for Sustainability

Document Type

Article

Keywords

Embodied energy, Machining optimization, Minimum quantity lubrication (MQL), Specific cutting energy, Sustainability, Tool wear, Turning

Journal/Book/Conference Title

International Journal of Advanced Manufacturing Technology

Volume

136

First Page

4569

Last Page

4579

Abstract

In response to growing concerns about environmental sustainability and the need to reduce carbon emissions in manufacturing, this study investigates the optimization of turning process parameters with a focus on minimizing energy consumption. The research develops a comprehensive mathematical model to identify the optimal cutting conditions, considering specific cutting energy, tool wear, and the application of minimum quantity lubrication (MQL) using eco-friendly canola oil. Experiments conducted on AISI 1080 steel using an uncoated carbide tool under varying machining conditions reveal that lubrication and tool wear significantly influence energy consumption. The results demonstrate that MQL not only reduces friction and cutting forces but also prolongs tool life, thereby lowering the specific cutting energy required for machining. By identifying the optimal combination of cutting speed, feed rate, and depth of cut, the study provides a pathway to achieving more sustainable machining practices. The findings highlight the potential for substantial energy savings in turning operations, contributing to the reduction of the carbon footprint associated with manufacturing processes.

Department

Department of Applied Engineering and Technical Management

Original Publication Date

1-31-2025

DOI of published version

10.1007/s00170-025-15068-y

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