dor_id: 4110176

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/724/692

100.1.#.a: Hynes, N. Rajesh Jesudoss; Kumar, R.; Velu, P. Shenbaga; Sujana, J. Angela Jennifa

524.#.#.a: Hynes, N. Rajesh Jesudoss, et al. (2018). Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach. Journal of Applied Research and Technology; Vol. 16 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/4110176

245.1.0.a: Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2018

264.#.1.c: 2019-06-25

653.#.#.a: Friction stud welding; aluminum; mild steel; grey-fuzzy logic; impact strength; metal loss

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: In this work, an integrated grey fuzzy logic technique is employed for solving the multi objective function of friction stud welding machine process parameters. This technique converts the multi-objectives into a grey fuzzy reasoning grade. According to the grey fuzzy reasoning grade, an optimal combination of process parameters is concluded. Here, Taguchi L9 orthogonal array is used to design the experiments. The objective of this work is to maximize impact strength and minimize metal loss during the joining of AA 6063 and AISI 1030 steel. Rotational speed, friction time, and friction pressure are considered as the input process parameters. The outcomes of the confirmation test show that good joining strength is accomplished by the optimal level of process parameters.

773.1.#.t: Journal of Applied Research and Technology; Vol. 16 Núm. 4

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.16656423.2018.16.4.724

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach

Hynes, N. Rajesh Jesudoss; Kumar, R.; Velu, P. Shenbaga; Sujana, J. Angela Jennifa

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Hynes, N. Rajesh Jesudoss, et al. (2018). Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach. Journal of Applied Research and Technology; Vol. 16 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/4110176

Descripción del recurso

Autor(es)
Hynes, N. Rajesh Jesudoss; Kumar, R.; Velu, P. Shenbaga; Sujana, J. Angela Jennifa
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach
Fecha
2019-06-25
Resumen
In this work, an integrated grey fuzzy logic technique is employed for solving the multi objective function of friction stud welding machine process parameters. This technique converts the multi-objectives into a grey fuzzy reasoning grade. According to the grey fuzzy reasoning grade, an optimal combination of process parameters is concluded. Here, Taguchi L9 orthogonal array is used to design the experiments. The objective of this work is to maximize impact strength and minimize metal loss during the joining of AA 6063 and AISI 1030 steel. Rotational speed, friction time, and friction pressure are considered as the input process parameters. The outcomes of the confirmation test show that good joining strength is accomplished by the optimal level of process parameters.
Tema
Friction stud welding; aluminum; mild steel; grey-fuzzy logic; impact strength; metal loss
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces