Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach
暂无分享,去创建一个
[1] Jasmine Siu Lee Lam,et al. Improving environmental sustainability by formulation of generalized power consumption models using an ensemble based multi-gene genetic programming approach , 2015 .
[2] Jose Antonio Sanchez,et al. Simultaneous measurement of forces and machine tool position for diagnostic of machining tests , 2005, IEEE Transactions on Instrumentation and Measurement.
[3] Y. Wong,et al. An Approach to Theoretical Modeling and Simulation of Face Milling Forces , 2000 .
[4] Wouter De Soete,et al. Environmental resource footprinting of drug manufacturing: Effects of scale-up and tablet dosage , 2014 .
[5] Babur Ozcelik,et al. Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method , 2011 .
[6] Jasmine Siu Lee Lam,et al. Designing a sustainable maritime supply chain: A hybrid QFD–ANP approach , 2015 .
[7] Carmita Camposeco-Negrete,et al. Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA , 2013 .
[8] Paul Mativenga,et al. Modelling of direct energy requirements in mechanical machining processes , 2013 .
[9] Tullio Tolio,et al. Virtual Factory: An Integrated Framework for Manufacturing Systems Design and Analysis☆ , 2013 .
[10] A. Garg,et al. Evolving Functional Expression of Permeability of Fly Ash by a New Evolutionary Approach , 2015, Transport in Porous Media.
[11] Girish Kant,et al. Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining , 2014 .
[12] Jasmine Siu Lee Lam,et al. Developing environmental sustainability by ANP-QFD approach: the case of shipping operations , 2015 .
[13] Murat Sarıkaya,et al. Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL , 2014 .
[14] Liang Gao,et al. Modeling and impact factors analyzing of energy consumption in CNC face milling using GRASP gene expression programming , 2016 .
[15] Lin Li,et al. Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality , 2013 .
[16] Rajesh Kumar Bhushan,et al. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites , 2013 .
[17] Fabio Tatàno,et al. Shoe manufacturing wastes: Characterisation of properties and recovery options , 2012 .
[18] Kang Tai,et al. An Ensemble Approach of Machine Learning in Evaluation of Mechanical Property of the Rapid Prototyping Fabricated Prototype , 2014 .
[19] E.J.A. Armarego,et al. AN APPRAISAL OF EMPIRICAL MODELING AND PROPRIETARY SOFTWARE DATABASES FOR PERFORMANCE PREDICTION OF MACHINING OPERATIONS , 2000 .
[20] Ahmed A. D. Sarhan,et al. Investigating the Minimum Quantity Lubrication in grinding of Al2O3 engineering ceramic , 2014 .
[21] Akhil Garg,et al. Empirical analysis of model selection criteria for genetic programming in modeling of time series system , 2013, 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).
[22] Joshua M. Pearce,et al. Life cycle analysis of silane recycling in amorphous silicon-based solar photovoltaic manufacturing , 2013, Resources, Conservation and Recycling.
[23] John W. Sutherland,et al. A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction , 2011 .
[24] Akhil Garg,et al. Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet , 2014, Simul. Model. Pract. Theory.
[25] Mustafa Gölcü,et al. Modeling of cutting forces as function of cutting parameters for face milling of satellite 6 using an artificial neural network , 2007 .
[26] Aitzol Lamikiz,et al. Recording of real cutting forces along the milling of complex parts , 2006 .
[27] Akhil Garg,et al. A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance , 2015, Swarm Evol. Comput..
[28] Kang Tai,et al. Review of empirical modelling techniques for modelling of turning process , 2013, Int. J. Model. Identif. Control..
[29] Murat Kucukvar,et al. CorrigendumCorrigendum to “Supply chain sustainability assessment of the U.S. food manufacturing sectors: A life cycle-based frontier approach” [Resour. Conserv. Recycl. 82 (2014) 8–20] , 2014 .
[30] Dominic P. Searson,et al. GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression , 2010 .
[31] Kang Tai,et al. Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions , 2013, SEMCCO.
[32] Jasmine Siu Lee Lam,et al. Process characterisation of 3D-printed FDM components using improved evolutionary computational approach , 2015 .
[33] John Edwin Raja Dhas,et al. Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools , 2013, Appl. Soft Comput..
[34] Gianni Campatelli,et al. Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel , 2014 .
[35] Francisco J. Campa,et al. An integrated process–machine approach for designing productive and lightweight milling machines , 2011 .
[36] Christoph Herrmann,et al. Glocalized Solutions for Sustainability in Manufacturing , 2011 .
[37] Uday S. Dixit,et al. Application of soft computing techniques in machining performance prediction and optimization: a literature review , 2010 .
[38] Huai Gao,et al. A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .
[39] Akhil Garg,et al. A new computational intelligence approach in formulation of functional relationship of open porosity of the additive manufacturing process , 2015 .
[40] Akhil Garg,et al. Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process , 2014, Adv. Eng. Softw..
[41] Akhil Garg,et al. Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming , 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).
[42] O. Tatari,et al. upply chain sustainability assessment of the U . S . food manufacturing ectors : A life cycle-based frontier approach , 2013 .
[43] Rafat Siddique,et al. Utilization of wood ash in concrete manufacturing , 2012 .
[44] Cristian Caizar,et al. Application of Taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3 , 2011 .
[45] I. Hanafi,et al. Optimization of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools , 2012 .