The Efficiency Analysis on Cutting Power of EPB Shield Cutter

Sun, Yuehai; Yu, Liang; Ji, Guochen; Liu, Jian Qin; Wei, Guo

doi:10.4028/www.scientific.net/msf.697-698.706

Cited by 1 publication

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References 3 publications

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“…The manufacturing industry has advanced at a rapid pace and with it, high-performance manufacturing techniques h become critical to attain sustainable development [1], improve power [2] and processing efficiency [3], and increase machining quality [4]. The two main factors that influence machining tool energy consumption and product surface quality are cutting parameters and tool geometries [5].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization for Machining of Wood Plastic Composite

et al. 2022

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Enhancing energy efficiency is the key to realizing green manufacturing. One major area of interest in this regard is the improvement of energy efficiency of machine tools during the production of building materials. This project focuses on energy efficiency during the spiral milling of wood plastic composites. To this end, a response surface method was adopted to develop a model and establish the relationship between energy efficiency and milling conditions. Analysis of variance based on individual factors as well as two-factor interactions was performed to gauge their effects on energy efficiency. It was found that milling depth was positively correlated to power efficiency, while spiral angle and feed per tooth displayed non-monotonic behavior. An attempt was made to predict milling conditions that will yield the greatest material removal rate and power efficiency. For wood plastic composites subjected to up-milling, it was determined that a feed per tooth of 0.1 mm, milling depth of 1.5 mm, and spiral angle of 70° were ideal. Considering the potential improvements in energy efficiency and surface quality that these process parameters will bring, it is strongly recommended for use in the industrial machining of wood plastic composites.

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Section: Introductionmentioning

confidence: 99%