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Optimization of Cutting Parameters for Minimizing Environmental Impact: Considering Energy Efficiency, Noise Emission and Economic Dimension

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Abstract

Green manufacturing is attracting significant attention from the academic and industrial world under current environmental circumstances. The purpose of the present study is to evaluate trade-offs between the main factors in green manufacturing: energy, noise and cost, through cutting parameter optimization. First, the energy consumption model is developed based on the analysis of the relationship among sub-processes, power and cutting parameters. Then numerical noise emission model, which integrates orthogonal experiment and response surface method, is proposed. Moreover, Analysis of Variance results are employed to analyze the influence of cutting parameters on noise, the results show that the depth of cut is the dominating influencing factor of noise, then the cutting cost model is presented. The multi-objective optimization model for energy saving, noise reducing and cost saving is proposed, which takes cutting speed, feed fate and depth of cut as decision variables. NSGA-II is adopted to obtain the Pareto optimal solutions. The most suitable Pareto-optimal solution is selected by a combination weighting method. A case study involving the cutting process of a CNC lathe is used to validate the proposed methodology, and the results are discussed and analyzed.

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Abbreviations

CNC:

Computer numerical control

RSM:

response surface method

ANOVA:

Analysis of Variance

NSGA-II:

non-dominated sorting genetic algorithm-II

AHP:

analytic hierarchy process

RST:

rough set theory

EC:

energy consumption

ECF:

energy efficiency

MOEA:

multi-objective evolutionary algorithm

Gen:

evolutionary algebras

MRR:

material removal rate

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Authors and Affiliations

  1. School of Mechanical Engineering, Hefei university of Technology, 193, Tunxi Road, Hefei, 230009, China

    Lei Zhang, Beikun Zhang, Hong Bao & Haihong Huang

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  1. Lei Zhang
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  2. Beikun Zhang
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  3. Hong Bao
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  4. Haihong Huang
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Correspondence to Beikun Zhang.

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Zhang, L., Zhang, B., Bao, H. et al. Optimization of Cutting Parameters for Minimizing Environmental Impact: Considering Energy Efficiency, Noise Emission and Economic Dimension. Int. J. Precis. Eng. Manuf. 19, 613–624 (2018). https://doi.org/10.1007/s12541-018-0074-3

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  • DOI: https://doi.org/10.1007/s12541-018-0074-3

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