dor_id: 4110175

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336.#.#.3: Artículo de Investigación

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

351.#.#.a: Artículos

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/723/691

100.1.#.a: Singh, S. Christopher Ezhil; Selvakumar, N.; Flower, T. Mary Little

524.#.#.a: Singh, S. Christopher Ezhil, et al. (2018). Optimization on Dry Sliding Wear, Electrical Resistivity and Mechanical Properties of Cu–4Cr–xZrC Composites. Journal of Applied Research and Technology; Vol. 16 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/4110175

245.1.0.a: Optimization on Dry Sliding Wear, Electrical Resistivity and Mechanical Properties of Cu–4Cr–xZrC Composites

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: Cu–4Cr–xZrC composites; electrical resistivity; ANOVA; full factorial design; hardness

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

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/723

001.#.#.#: 074.oai:ojs2.localhost:article/723

041.#.7.h: eng

520.3.#.a: This present study is to develop statistical model that might be used to predict the wear properties of Cu - 4Cr - xZrC (x = 0-8 wt. % of ZrC) composites have faith in densi?cation of the powder throughout compaction and sintering. The in?uence of the reinforcement, sliding distance and load on Specific Wear Rate (SWR) and Coef?cient of Friction (COF) were studied using pin-on-disc machine. L27 orthogonal array was selected for investigating the full factorial design using three factors with one replicate. Based on the main effects plots and interaction plots obtained through design was studied. Analysis of Variance (ANOVA) was used to explore the in?uencing input parameters on SWR and COF. The hardness of the composites will increase because of the increase in wt. % of ZrC. Scanning Electron Microscope (SEM), X-Ray Diffraction (XRD), pin on-disc system, Four point probe tester and Rockwell hardness tester were used to evaluate the characterization, tribological properties, electrical resistivity and hardness respectively of Cu-4Cr-xZrC composites respectively. The level of each parameter is fixed at three totally different levels, namely low, medium and high. Mathematical model was applied by design expert software so as to precise the influence degree of the most wear variables like reinforcement, sliding distance and load on SWR and COF respectively. The results indicate that the reinforcement is more dominant factor affecting SWR and COF mainly. The reinforcement plays an important role than sliding distance and load. The morphology of the worn out surfaces was analyzed to know the wear mechanisms.

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

310.#.#.a: Bimestral

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

doi: https://doi.org/10.22201/icat.16656423.2018.16.4.723

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

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Artículo

Optimization on Dry Sliding Wear, Electrical Resistivity and Mechanical Properties of Cu–4Cr–xZrC Composites

Singh, S. Christopher Ezhil; Selvakumar, N.; Flower, T. Mary Little

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

Singh, S. Christopher Ezhil, et al. (2018). Optimization on Dry Sliding Wear, Electrical Resistivity and Mechanical Properties of Cu–4Cr–xZrC Composites. Journal of Applied Research and Technology; Vol. 16 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/4110175

Descripción del recurso

Autor(es)
Singh, S. Christopher Ezhil; Selvakumar, N.; Flower, T. Mary Little
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Optimization on Dry Sliding Wear, Electrical Resistivity and Mechanical Properties of Cu–4Cr–xZrC Composites
Fecha
2019-06-25
Resumen
This present study is to develop statistical model that might be used to predict the wear properties of Cu - 4Cr - xZrC (x = 0-8 wt. % of ZrC) composites have faith in densi?cation of the powder throughout compaction and sintering. The in?uence of the reinforcement, sliding distance and load on Specific Wear Rate (SWR) and Coef?cient of Friction (COF) were studied using pin-on-disc machine. L27 orthogonal array was selected for investigating the full factorial design using three factors with one replicate. Based on the main effects plots and interaction plots obtained through design was studied. Analysis of Variance (ANOVA) was used to explore the in?uencing input parameters on SWR and COF. The hardness of the composites will increase because of the increase in wt. % of ZrC. Scanning Electron Microscope (SEM), X-Ray Diffraction (XRD), pin on-disc system, Four point probe tester and Rockwell hardness tester were used to evaluate the characterization, tribological properties, electrical resistivity and hardness respectively of Cu-4Cr-xZrC composites respectively. The level of each parameter is fixed at three totally different levels, namely low, medium and high. Mathematical model was applied by design expert software so as to precise the influence degree of the most wear variables like reinforcement, sliding distance and load on SWR and COF respectively. The results indicate that the reinforcement is more dominant factor affecting SWR and COF mainly. The reinforcement plays an important role than sliding distance and load. The morphology of the worn out surfaces was analyzed to know the wear mechanisms.
Tema
Cu–4Cr–xZrC composites; electrical resistivity; ANOVA; full factorial design; hardness
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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