Modeling and Optimization Algorithms in Rapid Prototyping, Submerged Arc Welding, and Turning

Author:

Gupta Munish K.1,Mia Mozammel2,Gupta Nancy3,Singh Sunpreet4,Choudhary Ankush5,Jamil Muhammad6,Khan Aqib M.6,Nadolny Krzysztof7,Kapłonek Wojciech7,Pimenov Danil Y.8,Pruncu Catalin I.29

Affiliation:

1. Shandong University; School of Mechanical Engineering, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education; China

2. Imperial College London; Department of Mechanical Engineering; South Kensington London SW7 2AZ UK

3. Lyallpur Khalsa College; Jalandhar India

4. Mechanical Engineering; National University of Singapore; Singapore

5. The LNMIIT Jaipur; Mechanical & Mechatronics Engineering Department; Rajasthan India

6. Nanjing University of Aeronautics and Astronautics; College of Mechanical and Electrical Engineering; Nanjing 210016 China

7. Koszalin University of Technology; Department of Production Engineering, Faculty of Mechanical Engineering; Racławicka 15-16 75-620 Koszalin Poland

8. South Ural State University; Department of Automated Mechanical Engineering; Lenin Prosp. 76 454080 Chelyabinsk Russia

9. Design, Manufacturing & Engineering Management; University of Strathclyde; Glasgow G11XJ Scotland UK

Publisher

Wiley-VCH Verlag GmbH & Co. KGaA

Reference48 articles.

1. Parameter optimization of machining processes using a new optimization algorithm;Venkata Rao;Materials and Manufacturing Processes,2012

2. Intelligent evolutionary algorithms for large parameter optimization problems;Ho;IEEE Transactions on Evolutionary Computation,2004

3. Multiobjective evolutionary algorithms: analyzing the state-of-the-art;Veldhuizen;Evolutionary Computation,2000

4. Machining comparison of aerospace materials considering minimum quantity cutting fluid: a clean and green approach;Gupta;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2017

5. Study on tribological properties of Al-Al2O3 composites prepared through FDMAIC route using reinforced sacrificial patterns;Singh;Journal of Manufacturing Science and Engineering,2016

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