2026-09-19T22:58:25Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1624462025-08-22T03:07:17Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Hart, A. John
Anziani, Jonathan
Massachusetts Institute of Technology. Department of Mechanical Engineering
2025-08-21T17:02:16Z
2025-08-21T17:02:16Z
2025-05
2025-06-17T16:10:34.860Z
https://hdl.handle.net/1721.1/162446
https://orcid.org/0009-0002-2898-5860
Machining is an energy intensive process, and being able to model the energy consumption of machining would allow manufacturers to consider how to reduce their energy footprint. While many models have been developed for estimating energy consumption, they are not easily applicable or accessible to CNC machining, where the material removal rate is variable. This thesis develops a G-code based simulation that uses a voxel mesh to virtually recreate material removal, approximating the material removal rate at discretized points in the machining process. Using an energy consumption model and machine power data, material removal rates are related to the power consumption of machining the part. The simulation pipeline was validated using power data collected from literature, and for a constant material removal rate the model has shown average absolute error of 3.17% predicting power and 2.89% predicting specific energy consumption for simulated test geometries.
S.B.
Massachusetts Institute of Technology
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https://rightsstatements.org/page/InC-EDU/1.0/
G-Code Based Toolpath Simulation for Predicting CNC Energy Consumption
Thesis
application/pdf
Bachelor
Bachelor of Science in Engineering
Publication
unknown
unknown
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<Abstract>Machining is an energy intensive process, and being able to model the energy consumption of machining would allow manufacturers to consider how to reduce their energy footprint. While many models have been developed for estimating energy consumption, they are not easily applicable or accessible to CNC machining, where the material removal rate is variable. This thesis develops a G-code based simulation that uses a voxel mesh to virtually recreate material removal, approximating the material removal rate at discretized points in the machining process. Using an energy consumption model and machine power data, material removal rates are related to the power consumption of machining the part. The simulation pipeline was validated using power data collected from literature, and for a constant material removal rate the model has shown average absolute error of 3.17% predicting power and 2.89% predicting specific energy consumption for simulated test geometries.</Abstract>
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