Abstract
Energy conservation has become one of the key elements of core competitiveness for manufacturing enterprise. On the basis of studying the characteristics of carbon emissions in machining process, the state space model of carbon footprint for machining process is constructed, and carbon footprint transfer matrix is derived. It reveals the mechanism of generation, transmission, and coupling for carbon footprint in machining process. Considering the machining precision constraints and time constraints, the paper researched on optimization control method for carbon footprint of machining process based on dynamic programming to minimize the carbon emissions. Finally, this method is applied in a fracture splitting workshop, and the result shows this method can reduce 10.28% of carbon emissions in machining process. This paper provides theoretical and technical support for energy saving in machining process.
Similar content being viewed by others
References
Xinhua News Agency (2013) CPC central committee on some major issues concerning comprehensively deepening the reform. Practice: Party Education Edition 34(12):7–18
Liu M, Liu C, Xing L, Liu Z, Li X, Lin L (2016) Assembly process control method for remanufactured parts with variable quality grades. Int J Adv Manuf Technol 85(5):1471–1481
Liu C (2016) Tolerance redistributing of the reassembly dimensional chain on measure of uncertainty. Entropy 18(10):348
Haapala K R,Khadke K N,Sutherland J W 2004. Predicting manufacturing waste and energy for sustainable product development via WE-fab software.Berlin,Germany:Uni-Edition:243–250
Zhang Q, Jia GY, Cai JJ, Shen FM (2013a) Carbon flow analysis and CO2 emission reduction strategies of iron-making system in steel enterprise. Journal of Northeastern University (Natural Science) 34(3):392–394
Zhang Y, Wang RH, Liu F (2013b) Carbon footprint on steel manufacturing process—a case study of Nanjing Iron & Steel Union Company Limited. Acta Sci Circumst 33(4):1195–1201
Zheng J, Tang RZ, Hu LK (2014) Carbon emission modeling of sand casting based on process carbon sources. Jisuanji Jicheng Zhizao Xitong/computer Integrated Manufacturing Systems Cims 20(4):898–908
Zheng J, Tang RZ (2015) Carbon efficiency model and evaluation method for sand casting. Zhejiang Daxue Xuebao (Gongxue Ban) /Journal of Zhejiang University Engineering Science Edition 49(1):102–109
Xian-Guang LI, Cong-Bo LI, Liu F, Ling-Ling LI (2012) Modeling and quantification methods for carbon emission in machine tools manufacturing processes based on Petri nets. Jisuanji Jicheng Zhizao Xitong/computer Integrated Manufacturing Systems Cims 18(12):2723–2735
Congbo LI, Multi-objective NC (2013) Machining parameters optimization model for high efficiency and low carbon. Journal of Mechanical Engineering 49(9):87–96
Tao XF, Cao HJ, Hong-Cheng LI, Liu F (2011) Assessment model of product material consumption based on carbon intensity coefficient and its application. Syst Eng 29(2):123–126
He Y, Liu F, Cao H, Zhang H (2007) Process planning support system for green manufacturing and its application. Front Mech Eng China 2(1):104–109
Zhang C, Liu C, Zhang M (2015) Carbon footprint monitoring and early-warning method for machine shop and its key technologies. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems Cims 10:2677–2686
Jeswiet J, Kara S (2008) Carbon emissions and CES™ in manufacturing. CIRP Annals-Manufacturing Technology 57(1):17–20
Narita H, Kawamura H, Norihisa T, Chen L, Fujimoto H, Hasebe T (2006) Development of prediction system for environmental burden for machine tool operation. JSME International Journal Series C 49(4):1188–1195
Bazan E, Jaber MY, Saadany AMAE (2015) Carbon emissions and energy effects on manufacturing–remanufacturing inventory models. Comput Ind Eng 88:307–316
Kaygusuz K (2009) Energy and environmental issues relating to greenhouse gas emissions for sustainable development in Turkey. Renew Sustain Energy Rev 13(1):253–270
Mouzon G, Yildirim MB (2008) A framework to minimise total energy consumption and total tardiness on a single machine. Int J Sustain Eng 1(2):105–116
Zhang C, Liu C, Liu L (2014) Diagnosis and application of carbon footprint for machining workshop on energy saving and emission reduction. COMPUTER MODELLING & NEW TECHNOLOGES 12:265–270
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cuixia, Z., Conghu, L. & Xi, Z. Optimization control method for carbon footprint of machining process. Int J Adv Manuf Technol 92, 1601–1607 (2017). https://doi.org/10.1007/s00170-017-0241-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-017-0241-1