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Rajeev Sharma, Vikas Sharma, Kamal Sharma
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- Reseach Scholar, Professor, Professor Department of Mechanical Engineering, GLA University. Mathura, Department of Mechanical Engineering. GLA University, Mathura, Department of Mechanical Engineering, GLA University, Mathura Uttar Pradesh, Uttar Pradesh, Uttar Pradesh India, India, India
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Abstract
nThe study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions was then created and tested. An optimal tool life equation that meets the most minor energy conditions was constructed. From this, each material’s specific energy was determined. Machinability is the ease with which a material can be cut while maintaining a high standard of tool life and finished product quality. Most electricity went to non-cutting processes. Most energy goes to the spindle, control computer, and cooling fans. Non-cutting tasks require the most power on a CNC lathe. Cutting used 13 to 36% of the machining energy for various workpiece materials. When comparing the required energy for various technological alloys for a given volume of product removal, machining at a higher speed or with a greater volumetric removal rate results in lower energy usage. Energy requirements are also affected by the nature of the material used. A machine shop’s carbon footprint can be determined with this work if its electricity source is known. Carbon emissions from industry can be lowered by switching to more energy-efficient production methods
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Keywords: Energy Consumption, Turning Process, workpiece, materials (titanium alloys), optimal tool life, cutting, machinability, CNC lathe.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Polymer and Composites(jopc)]
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| Volume | ||
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | ||
| Received | December 12, 2022 | |
| Accepted | May 7, 2024 | |
| Published | June 11, 2024 |
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