Journal Published Online: 24 August 2017
Volume 1, Issue 1

An Improved Predictive Model for Energy Estimation in Milling

CODEN: SSMSCY

Abstract

The present research work was concerned with the development of an improved predictive model for energy estimation in the machining process. The need for a comprehensive predictive model which can account for generic cutting conditions together with all machine tool related factors was felt and has been attempted here. The proposed model was able to consider all influencing factors such as machine tool specific factors, axes configurations, acceleration effects of feed drives, and machine tool accessories. This component of energy from the machine tool was combined with the cutting energy estimated from cutting forces. This experimentally validated model can estimate energy consumption for any generic case directly from computer numerical control (CNC) programs or process plans. The newly developed model is used to study various machining situations to demonstrate its effectiveness.

Author Information

Unnikrishnan, Arun
Dept. of Mechanical Engineering, IIT Delhi, New Delhi, IN
Rao, P. V.
Dept. of Mechanical Engineering, IIT Delhi, New Delhi, IN
Pages: 28
Price: Free
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Details
Stock #: SSMS20170008
ISSN: 2520-6478
DOI: 10.1520/SSMS20170008