Indirect approach for predicting cutting force coefficients and power consumption in milling process

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Indirect approach for predicting cutting force coefficients and power consumption in milling process
Title:
Indirect approach for predicting cutting force coefficients and power consumption in milling process
Other Titles:
Advances in Manufacturing
Publication Date:
03 September 2021
Citation:
Shi, K.-N., Liu, N.*, Liu, C.-L., Ren, J.-X., Yang, S.-S., & Tan, W. C. (2021). Indirect approach for predicting cutting force coefficients and power consumption in milling process. Advances in Manufacturing. doi:10.1007/s40436-021-00370-1
Abstract:
Accurate energy consumption modeling is an essential prerequisite for sustainable manufacturing. Recently, cutting-power-based models have garnered significant attention, as they can provide more comprehensive information regarding the machining energy consumption pattern. However, their implementation is challenging because new cutting force coefficients are typically required to address new workpiece materials. Traditionally, cutting force coefficients are calculated at a high operation cost as a dynamometer must be used. Hence, a novel indirect approach for estimating the cutting force coefficients of a new tool-workpiece pair is proposed herein. The key idea is to convert the cutting force coefficient calculation problem into an optimization problem, whose solution can be effectively obtained using the proposed simulated annealing algorithm. Subsequently, the cutting force coefficients for a new tool-workpiece pair can be estimated from a pre-calibrated energy consumption model. Machining experiments performed using different machine tools clearly demonstrate the effectiveness of the developed approach. Comparative studies with measured cutting force coefficients reveal the decent accuracy of the approach in terms of both energy consumption prediction and instantaneous cutting force prediction. The proposed approach can provide an accurate and reliable estimation of cutting force coefficients for new workpiece materials while avoiding operational or economic problems encountered in traditional force monitoring methods involving dynamometers. Therefore, this study may significantly advance the development of sustainable manufacturing.
License type:
Publisher Copyright
Funding Info:
National Natural Science Foundation of China (Grant Nos. 51905442, 51775444), the Fundamental Research Funds for the Central Universities (Grant No. 31020190502006), and the National Science and Technology Major Project (Grant No. J2019-VII-0001-0141)
Description:
This is a post-peer-review, pre-copyedit version of an article published in Advances in Manufacturing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s40436-021-00370-1 .
ISSN:
2095-3127
2195-3597
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