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Articles

Modelling weld bead geometry using neural networks for GTAW of austenitic stainless steel

Pages 649-658 | Published online: 04 Dec 2013

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Debasish Das, Navneet Thakur & Matruprasad Rout. (2023) Prediction of characteristic points of single-peak flow curve through statistical technique and artificial neural network. International Journal of Modelling and Simulation 0:0, pages 1-9.
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J. A. Siefert & S. A. David. (2014) Weldability and weld performance of candidate austenitic alloys for advanced ultrasupercritical fossil power plants. Science and Technology of Welding and Joining 19:4, pages 271-294.
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M. Vasudevan, V. Arunkumar, N. Chandrasekhar & V. Maduraimuthu. (2010) Genetic algorithm for optimisation of A-TIG welding process for modified 9Cr–1Mo steel. Science and Technology of Welding and Joining 15:2, pages 117-123.
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M. Vasudevan. (2009) Soft Computing Techniques in Stainless Steel Welding. Materials and Manufacturing Processes 24:2, pages 209-218.
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P. Ghanty, M. Vasudevan, D. P. Mukherjee, N. R. Pal, N. Chandrasekhar, V. Maduraimuthu, A. K. Bhaduri, P. Barat & B. Raj. (2008) Artificial neural network approach for estimating weld bead width and depth of penetration from infrared thermal image of weld pool. Science and Technology of Welding and Joining 13:4, pages 395-401.
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P. Ghanty, S. Paul, A. Roy, D. P. Mukherjee, N. R. Pal, M. Vasudevan, H. Kumar & A. K. Bhaduri. (2008) Fuzzy rule based approach for predicting weld bead geometry in gas tungsten arc welding. Science and Technology of Welding and Joining 13:2, pages 167-175.
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Articles from other publishers (14)

Mohd. Majid, Love Goel, Abhinav Saxena, Ashish Kumar Srivastava, Gyanendra Kumar Singh, Rajesh Verma, Javed Khan Bhutto & Hany S. Hussein. (2023) Firefly Algorithm and Neural Network Employment for Dilution Analysis of Super Duplex Stainless Steel Clads over AISI 1020 Steel Using Gas Tungsten Arc Process. Coatings 13:5, pages 841.
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Debasish Das, Soumitra Kumar Dinda, Amit Kumar Das, Dilip Kumar Pratihar & Gour Gopal Roy. (2022) Study of micro-porosity in electron beam butt welding. The International Journal of Advanced Manufacturing Technology 121:7-8, pages 4583-4600.
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Xushan Zhao, Yuanxun Wang, Haiou Zhang, Runsheng Li, Xi Chen & Youheng Fu. (2022) Overlapping optimization of hybrid deposited and micro-rolling additive manufacturing. Rapid Prototyping Journal 28:6, pages 1086-1096.
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Debasish Das, Amit Kr Das, DK Pratihar & GG Roy. (2020) Prediction of residual stress in electron beam welding of stainless steel from process parameters and natural frequency of vibrations using machine-learning algorithms. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 235:11, pages 2008-2021.
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Italo do Valle Tomaz, Fernando Henrique Gruber Colaço, Shoaib Sarfraz, Danil Yu. Pimenov, Munish Kumar Gupta & Giuseppe Pintaude. (2021) Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm. The International Journal of Advanced Manufacturing Technology 113:11-12, pages 3569-3583.
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Zeqi Hu, Xunpeng Qin, Yifeng Li, Jiuxin Yuan & Qiang Wu. (2019) Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing. Journal of Intelligent Manufacturing 31:5, pages 1133-1147.
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A. Karpagaraj, K. Parthiban & S. Ponmani. (2020) Optimization techniques used in gas tungsten arc welding process – A review. Materials Today: Proceedings 27, pages 2187-2190.
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Ping Yao, Kang Zhou, Hongyan Lin, Zihui Xu & Songchen Yue. (2019) Exploration of Weld Bead Forming Rule during Double-Pulsed GMAW Process Based on Grey Relational Analysis. Materials 12:22, pages 3662.
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V. V. Narayanareddy, N. Chandrasekhar, M. Vasudevan, S. Muthukumaran & P. Vasantharaja. (2015) Numerical Simulation and Artificial Neural Network Modeling for Predicting Welding-Induced Distortion in Butt-Welded 304L Stainless Steel Plates. Metallurgical and Materials Transactions B 47:1, pages 702-713.
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N. Chandrasekhar, M. Vasudevan, A. K. Bhaduri & T. Jayakumar. (2013) Intelligent modeling for estimating weld bead width and depth of penetration from infra-red thermal images of the weld pool. Journal of Intelligent Manufacturing 26:1, pages 59-71.
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S. Chokkalingham, N. Chandrasekhar & M. Vasudevan. (2011) Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling. Journal of Intelligent Manufacturing 23:5, pages 1995-2001.
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L. Subashini & M. Vasudevan. (2011) Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Models for Predicting the Weld Bead Width and Depth of Penetration from the Infrared Thermal Image of the Weld Pool. Metallurgical and Materials Transactions B 43:1, pages 145-154.
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H Ma, S Wei, L Li, T Lin & S Chen. (2011) Mixed logical dynamical model of the pulsed gas tungsten arc welding process with varied gap. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 225:2, pages 270-280.
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S. Chokkalingham, N. Chandrasekhar & M. Vasudevan. 2010. Simulated Evolution and Learning. Simulated Evolution and Learning 270 278 .

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