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Original Articles

Constrained Efficient Global Optimization for Pultrusion Process

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Pages 538-551 | Received 13 Jun 2014, Accepted 07 Nov 2014, Published online: 09 Mar 2015

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Read on this site (4)

Fausto Tucci, Renato Bezerra, Felice Rubino & Pierpaolo Carlone. (2020) Multiphase flow simulation in injection pultrusion with variable properties. Materials and Manufacturing Processes 35:2, pages 152-162.
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Priyanka Devi Pantula, Srinivas Soumitri Miriyala & Kishalay Mitra. (2017) KERNEL: Enabler to build smart surrogates for online optimization and knowledge discovery. Materials and Manufacturing Processes 32:10, pages 1162-1171.
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Karimulla Shah, Rishav Kumar, Sibasis Sahoo, R. S. Pais, Debalay Chakrabarti & Nirupam Chakraborti. (2017) Optimization of annealing cycle parameters of dual phase and interstitial free steels by multiobjective genetic algorithms. Materials and Manufacturing Processes 32:10, pages 1201-1208.
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Articles from other publishers (24)

Leonardo Gonçalves Ribeiro, Evandro ParenteJrJr & Antônio Macário Cartaxo de Melo. (2023) Alternative variable-fidelity acquisition functions for efficient global optimization of black-box functions. Structural and Multidisciplinary Optimization 66:7.
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Rita de Cassia Costa Dias & Lizandro de Sousa Santos. (2023) Analysis of single and multi-objective optimization of the pultrusion process. Materials Today Communications 35, pages 105677.
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Wenying Yang, Fabin Mei & Guofu Zhai. (2023) Efficient global optimization with co‐evolutionary strategy for asymmetric minimax problem in robust design. Quality and Reliability Engineering International.
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Ismet Baran. 2023. Pultrusion. Pultrusion 217 243 .
Elias Saraiva Barroso, Leonardo Gonçalves Ribeiro, Marina Alves Maia, Iuri Barcelos Carneiro Montenegro da Rocha, Evandro ParenteJr.Jr. & Antônio Macário Cartaxo de Melo. (2022) BIOS: an object-oriented framework for Surrogate-Based Optimization using bio-inspired algorithms. Structural and Multidisciplinary Optimization 65:7.
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Evgeny Barkanov, Pavel Akishin & Endija Namsone-Sile. (2022) Effectiveness and Productivity Improvement of Conventional Pultrusion Processes. Polymers 14:4, pages 841.
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Marina Alves Maia, Evandro ParenteJr.Jr. & Antônio Macário Cartaxo de Melo. (2021) Kriging-based optimization of functionally graded structures. Structural and Multidisciplinary Optimization 64:4, pages 1887-1908.
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Endija Namsone & Alexandr Arshanitsa. (2021) An Effectiveness Improvement of the Pultrusion Process for a Production of Thin-Walled Rectangular Profile. Solid State Phenomena 320, pages 161-165.
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E. Barkanov, P. Akishin, E. Namsone, J. Auzins & A. Morozovs. (2021) Optimization of Pultrusion Processes for an Industrial Application. Mechanics of Composite Materials 56:6, pages 697-712.
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Dawei Zhan & Huanlai Xing. (2020) Expected improvement for expensive optimization: a review. Journal of Global Optimization 78:3, pages 507-544.
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Michael Sandberg, Onur Yuksel, Raphaël Benjamin Comminal, Mads Rostgaard Sonne, Masoud Jabbari, Martin Larsen, Filip Bo Salling, Ismet Baran, Jon Spangenberg & Jesper H. Hattel. 2020. Mechanics of Materials in Modern Manufacturing Methods and Processing Techniques. Mechanics of Materials in Modern Manufacturing Methods and Processing Techniques 173 195 .
Rita de Cassia Costa Dias, Lizandro de Sousa Santos, Hacène Ouzia & Ralf Schledjewski. (2018) Improving degree of cure in pultrusion process by optimizing die-temperature. Materials Today Communications 17, pages 362-370.
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Zilong Wang & Marianthi Ierapetritou. (2018) Constrained optimization of black-box stochastic systems using a novel feasibility enhanced Kriging-based method. Computers & Chemical Engineering 118, pages 210-223.
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Ismet Baran, Ilya Straumit, Oksana Shishkina & Stepan V. Lomov. (2018) X-ray computed tomography characterization of manufacturing induced defects in a glass/polyester pultruded profile. Composite Structures 195, pages 74-82.
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Masoud Jabbari, Ismet Baran, Sankhya Mohanty, Raphaël Comminal, Mads Rostgaard Sonne, Michael Wenani Nielsen, Jon Spangenberg & Jesper Henri Hattel. (2018) Multiphysics modelling of manufacturing processes: A review. Advances in Mechanical Engineering 10:5, pages 168781401876618.
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Onur Yuksel, Ismet Baran, Nuri Ersoy & Remko Akkerman. Analysis of residual transverse stresses in a thick UD glass/polyester pultruded profile using hole drilling with strain gage and digital image correlation. Analysis of residual transverse stresses in a thick UD glass/polyester pultruded profile using hole drilling with strain gage and digital image correlation.
Dongdong You, Dehui Liu, Xiaomo Jiang, Xueyu Cheng & Xiang Wang. (2017) Temperature Uncertainty Analysis of Injection Mechanism Based on Kriging Modeling. Materials 10:11, pages 1319.
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Ismet Baran. Analysis of the local fiber volume fraction variation in pultrusion process. Analysis of the local fiber volume fraction variation in pultrusion process.
Yaohui Li, Yizhong Wu, Jianjun Zhao & Liping Chen. (2016) A Kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points. Journal of Global Optimization 67:1-2, pages 343-366.
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Samineh Bagheri, Wolfgang Konen & Thomas Back. (2016) Online selection of surrogate models for constrained black-box optimization. Online selection of surrogate models for constrained black-box optimization.
Chandan Halder, Anish Karmakar, Sk. Md. Hasan, Debalay Chakrabarti, Maciej Pietrzyk & Nirupam Chakraborti. (2016) Effect of Carbon Distribution During the Microstructure Evolution of Dual-Phase Steels Studied Using Cellular Automata, Genetic Algorithms, and Experimental Strategies. Metallurgical and Materials Transactions A 47:12, pages 5890-5906.
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Kaibalya Mohanty, Tamoghna Mitra, Henrik Saxén & Nirupam Chakraborti. (2016) Multiple Criteria in a Top Gas Recycling Blast Furnace Optimized through a k -Optimality-Based Genetic Algorithm . steel research international 87:10, pages 1284-1294.
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Hormoz Shahrzad, Babak Hodjat & Risto Miikkulainen. (2016) Estimating the Advantage of Age-Layering in Evolutionary Algorithms. Estimating the Advantage of Age-Layering in Evolutionary Algorithms.
Rayan Hussein & Kalyanmoy Deb. (2016) A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization. A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization.

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