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Materials and Manufacturing Processes Volume 20, 2005 - Issue 3
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Original Articles

Chemical Composition Design of Superalloys for Maximum Stress, Temperature, and Time-to-Rupture Using Self-Adapting Response Surface Optimization

Igor N. Egorov-Yegorov IOSO Technology Center, Moscow, Russia
&
George S. Dulikravich Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida, USACorrespondence[email protected]
Pages 569-590 | Received 06 Apr 2004, Accepted 09 Nov 2004, Published online: 07 Feb 2007

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Rajesh Jha, George S. Dulikravich, Nirupam Chakraborti, Min Fan, Justin Schwartz, Carl C. Koch, Marcelo J. Colaco, Carlo Poloni & Igor N. Egorov. (2017) Self-organizing maps for pattern recognition in design of alloys. Materials and Manufacturing Processes 32:10, pages 1067-1074.
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R. Jha, F. Pettersson, G. S. Dulikravich, H. Saxen & N. Chakraborti. (2015) Evolutionary Design of Nickel-Based Superalloys Using Data-Driven Genetic Algorithms and Related Strategies. Materials and Manufacturing Processes 30:4, pages 488-510.
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S Datta & P P Chattopadhyay. (2013) Soft computing techniques in advancement of structural metals. International Materials Reviews 58:8, pages 475-504.
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PedroE. J. Rivera-Diaz-del-Castillo & W. Xu. (2011) Heat Treatment and Composition Optimization of Nanoprecipitation Hardened Alloys. Materials and Manufacturing Processes 26:3, pages 375-381.
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Qian Zhang, Mahdi Mahfouf, JohnR. Yates, Christophe Pinna, George Panoutsos, Soufiene Boumaiza, RichardJ. Greene & Luis de Leon. (2011) Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm. Materials and Manufacturing Processes 26:3, pages 508-520.
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Suvrat Bhargava, GeorgeS. Dulikravich, GollapudiS. Murty, Arvind Agarwal & MarceloJ. Colaço. (2011) Stress Corrosion Cracking Resistant Aluminum Alloys: Optimizing Concentrations of Alloying Elements and Tempering. Materials and Manufacturing Processes 26:3, pages 363-374.
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Deepak Kumar Panda. (2010) Modelling and Optimization of Multiple Process Attributes of Electrodischarge Machining Process by Using a New Hybrid Approach of Neuro–Grey Modeling. Materials and Manufacturing Processes 25:6, pages 450-461.
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Wojciech Paszkowicz. (2009) Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials and Manufacturing Processes 24:2, pages 174-197.
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CarlosA. Coello Coello & Ricardo Landa Becerra. (2009) Evolutionary Multiobjective Optimization in Materials Science and Engineering. Materials and Manufacturing Processes 24:2, pages 119-129.
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Frank Pettersson, Changwon Suh, Henrik Saxén, Krishna Rajan & Nirupam Chakraborti. (2008) Analyzing Sparse Data for Nitride Spinels Using Data Mining, Neural Networks, and Multiobjective Genetic Algorithms. Materials and Manufacturing Processes 24:1, pages 2-9.
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S. Ganguly, S. Datta & N. Chakraborti. (2007) Genetic Algorithms in Optimization of Strength and Ductility of Low-Carbon Steels. Materials and Manufacturing Processes 22:5, pages 650-658.
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N. Chakraborti, S. Das, R. Jayakanth, R. Pekoz & Ş. Erkoç. (2007) Genetic Algorithms Applied to Li+ Ions Contained in Carbon Nanotubes: An Investigation Using Particle Swarm Optimization and Differential Evolution Along with Molecular Dynamics. Materials and Manufacturing Processes 22:5, pages 562-569.
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Kishalay Mitra & Saptarshi Majumdar. (2007) Multicriteria Optimal Control of Polypropylene Terepthalate Polymerization Reactor. Materials and Manufacturing Processes 22:5, pages 532-540.
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Jie-Ren Shie. (2006) Optimization of Dry Machining Parameters for High-Purity Graphite in End-Milling Process by Artificial Neural Networks: A Case Study. Materials and Manufacturing Processes 21:8, pages 838-845.
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N. Chakraborti. (2005) Genetic algorithms in these changing steel times. Ironmaking & Steelmaking 32:5, pages 401-404.
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Long Phan, Beichao Hu, Cheng-Xian Lin & George S. Dulikravich. (2022) Optimization and Inverse Design of Floor Tile Airflow Distributions in Data Centers Using Response Surface Method. Journal of Fluids Engineering 144:1.
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Nadia Kouraytem, Xuxiao Li, Wenda Tan, Branden Kappes & Ashley D Spear. (2021) Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches. Journal of Physics: Materials 4:3, pages 032002.
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Edern Menou, Jérémy Rame, Clara Desgranges, Gérard Ramstein & Franck Tancret. (2019) Computational design of a single crystal nickel-based superalloy with improved specific creep endurance at high temperature. Computational Materials Science 170, pages 109194.
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Rajesh Jha & George S. Dulikravich. (2019) Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps. Metals 9:5, pages 537.
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Subhomoy Chatterjee, Swati Dey, Santanu Majumder, Amit RoyChowdhury & Shubhabrata Datta. (2019) Computational intelligence based design of implant for varying bone conditions. International Journal for Numerical Methods in Biomedical Engineering, pages e3191.
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M. Markl, A. Müller, N. Ritter, M. Hofmeister, D. Naujoks, H. Schaar, K. Abrahams, J. Frenzel, A. P. A. Subramanyam, A. Ludwig, J. Pfetzing-Micklich, T. Hammerschmidt, R. Drautz, I. Steinbach, R. Rettig, R. F. Singer & C. Körner. (2018) Development of Single-Crystal Ni-Base Superalloys Based on Multi-criteria Numerical Optimization and Efficient Use of Refractory Elements. Metallurgical and Materials Transactions A 49:9, pages 4134-4145.
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R. Jha, G. S. Dulikravich, M. J. Colaço, M. Fan, J. Schwartz & C. C. Koch. 2017. Properties and Characterization of Modern Materials. Properties and Characterization of Modern Materials 261 284 .
I. Balasundar, T. Raghu & B. P. Kashyap. (2016) Taguchi Based Optimisation of Artificial Neural Network to Establish a Direct Microstructure: Mechanical Property Correlation in a near-α Titanium Alloy. Transactions of the Indian Institute of Metals 69:10, pages 1929-1941.
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Rajesh Jha, George S. Dulikravich, Nirupam Chakraborti, Min Fan, Justin Schwartz, Carl C. Koch, Marcelo J. Colaco, Carlo Poloni & Igor N. Egorov. (2016) Algorithms for design optimization of chemistry of hard magnetic alloys using experimental data. Journal of Alloys and Compounds 682, pages 454-467.
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Ralf Rettig, Kamil Matuszewski, Alexander Müller, Harald E. Helmer, Nils C. Ritter & Robert F. Singer. 2016. Superalloys 2016. Superalloys 2016 35 44 .
Edern Menou, Gérard Ramstein, Emmanuel Bertrand & Franck Tancret. (2016) Multi-objective constrained design of nickel-base superalloys using data mining- and thermodynamics-driven genetic algorithms. Modelling and Simulation in Materials Science and Engineering 24:5, pages 055001.
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Mark F. Horstemeyer. 2016. Data-Intensive Science. Data-Intensive Science 103 118 .
Ralf Rettig, Nils C Ritter, Harald E Helmer, Steffen Neumeier & Robert F Singer. (2015) Single-crystal nickel-based superalloys developed by numerical multi-criteria optimization techniques: design based on thermodynamic calculations and experimental validation. Modelling and Simulation in Materials Science and Engineering 23:3, pages 035004.
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George S. Dulikravich, Brian H. Dennis, Daniel P. Baker, Stephen R. Kennon, Helcio R.B. Orlande & Marcelo J. Colaco. (2012) Inverse Problems in Aerodynamics, Heat Transfer, Elasticity and Materials Design. International Journal of Aeronautical and Space Sciences 13:4, pages 405-420.
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Pankaj Rajak, Ujjal Tewary, Sumitesh Das, Baidurya Bhattacharya & Nirupam Chakraborti. (2011) Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms. Computational Materials Science 50:8, pages 2502-2516.
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Qian Zhang & Mahdi Mahfouf. (2010) A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels. Engineering Applications of Artificial Intelligence 23:5, pages 660-675.
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Zhaoyang Jin & Zhenshan Cui. (2010) Investigation on strain dependence of dynamic recrystallization behavior using an inverse analysis method. Materials Science and Engineering: A 527:13-14, pages 3111-3119.
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A. Jamali, N. Nariman-zadeh, A. Darvizeh, A. Masoumi & S. Hamrang. (2009) Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process. Engineering Applications of Artificial Intelligence 22:4-5, pages 676-687.
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Yu-Hsin Lin, Jie-Ren Shie & Chih-Hung Tsai. (2009) Using an artificial neural network prediction model to optimize work-in-process inventory level for wafer fabrication. Expert Systems with Applications 36:2, pages 3421-3427.
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P. Das, S. Mukherjee, S. Ganguly, B.K. Bhattacharyay & S. Datta. (2009) Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function. Computational Materials Science 45:1, pages 104-110.
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S. Ganguly, S. Datta & N. Chakraborti. (2009) Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels. Computational Materials Science 45:1, pages 158-166.
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G S Dulikravich, I N Egorov & M J Colaco. (2008) Optimizing chemistry of bulk metallic glasses for improved thermal stability. Modelling and Simulation in Materials Science and Engineering 16:7, pages 075010.
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N. Chakraborti, B. Siva Kumar, V. Satish Babu, S. Moitra & A. Mukhopadhyay. (2008) A new multi-objective genetic algorithm applied to hot-rolling process. Applied Mathematical Modelling 32:9, pages 1781-1789.
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F. Pettersson, N. Chakraborti & S.B. Singh. (2007) Neural Networks Analysis of Steel Plate Processing Augmented by Multi-objective Genetic Algorithms. steel research international 78:12, pages 890-898.
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Amit Kumar, Suman Chakraborty & Nirupam Chakraborti. (2007) Fluid Flow in a Tundish Optimized through Genetic Algorithms. steel research international 78:7, pages 517-521.
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N. Chakraborti, R. Jayakanth, S. Das, E. D. Çalişir & Ş. Erkoç. (2007) Evolutionary and Genetic Algorithms Applied to Li+-C System: Calculations Using Differential Evolution and Particle Swarm Algorithm. Journal of Phase Equilibria and Diffusion 28:2, pages 140-149.
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N. Chakraborti. 2007. Handbook of Research on Nature-Inspired Computing for Economics and Management. Handbook of Research on Nature-Inspired Computing for Economics and Management 465 482 .
Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxén & Niruopam Chakraborti. (2007) Designing High Strength Multi-phase Steel for Improved Strength–Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms. ISIJ International 47:8, pages 1195-1203.
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F. Pettersson, N. Chakraborti & H. Saxén. (2007) A genetic algorithms based multi-objective neural net applied to noisy blast furnace data. Applied Soft Computing 7:1, pages 387-397.
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Debasis Sahoo & George Dulikravich. (2006) Evolutionary Wavelet Neural Network for Large Scale Function Estimation in Optimization. Evolutionary Wavelet Neural Network for Large Scale Function Estimation in Optimization.
Bri-Mathias Hodge, Frank Pettersson & Nirupam Chakraborti. (2006) Re-evaluation of the Optimal Operating Conditions for the Primary End of an Integrated Steel Plant using Multi-objective Genetic Algorithms and Nash Equilibrium. steel research international 77:7, pages 459-461.
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S. Tiwari & N. Chakraborti. (2006) Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms. Journal of Materials Processing Technology 173:3, pages 384-393.
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George S. Dulikravich, Nenad Jelisavcic & Igor N. Egorov. 2006. III European Conference on Computational Mechanics. III European Conference on Computational Mechanics 413 413 .

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