Study on the model of high efficiency and low carbon for grinding parameters optimization and its application-Reference-Cited by-同舟云学术

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Study on the model of high efficiency and low carbon for grinding parameters optimization and its application

Published:2016-11 Issue: Volume:137 Page:1672-1681
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Deng Zhaohui,Lv Lishu,Li Shichun,Wan Linlin,Liu Wei,Yan Can,Zhang Hua

Funder

National High Technology R&D Program (863 Program) of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference23 articles.

1. Genetic algorithm-based optimization of cutting parameters in turning processes;Addona;Procedia CIRP,2013

2. Machining parameters optimisation for turning cylindrical stock into a continuous finished profile using genetic algorithm (GA) and simulated annealing (SA);Asokan;Int. J. Adv. Manuf. Technol.,2003

3. Optimization of feed rate in a face milling operation using a surface roughness model;Baek;Int. J. Mach. Tools Manuf.,2001

4. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites;Bhushan;J. Clean. Prod.,2013

5. Simulation-based approach to modeling the carbon emissions dynamic characteristics of manufacturing system considering disturbances;Cao;J. Clean. Prod.,2014

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive review of advanced methods for improving the parameters of machining steels;Journal of Manufacturing Processes;2024-09

2. Carbon Emissions and Parameter Optimization for Machine Tool Processing;IEEE Sensors Journal;2024-09-01

3. Regulating cutting fluid parameters for optimal energy and economic performance: Methods for efficient and Low-Energy electrical machining;Energy Conversion and Management;2024-08

4. Optimization and ranking of the input parameter settings of sustainable grinding using cashew nut shell liquid as cutting fluid;Materials Research Express;2024-08-01

5. Multi-algorithm fusion–based intelligent decision-making method for robotic belt grinding process parameters;The International Journal of Advanced Manufacturing Technology;2024-05-08

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