Modeling of carburization parameters process for low carbon steel

Time cited in Arcif : 
3

Joint Authors

Ismai, Nadin Jafar
al-Haydari, Laith Qays Abbas
Husayn, Abbas Khammas
Dawud, Jamal Jalal

Source

Engineering and Technology Journal

Issue

Vol. 34, Issue 6A (30 Jun. 2016), pp.1069-1079, 11 p.

Publisher

University of Technology

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Materials Science , Minerals

Abstract EN

This paper represents the carburization parameters for steel (1020) using Desirability Function Analysis-DFA.

The experiments were conducted using Taguchi (L9) orthogonal array.

Carburization parameters such as carburization temperature, carburization time and tempering temperature were optimized by multi - response considerations depending on micro hardness and were rate measurements.

The optimal carburizing parameters had been determined by composite desirability value obtained from desirability function analysis while significant contribution of parameter was determined by analysis of variance (ANOVA).

The analyses results showed that optimal combination for higher hardness and lower wear rate were at (A2 = 920 oC, B2 = 3 hours and C3 = 120 oC).

Confirmation test was also conducted to validate the test results.

Mathematical models for composite desirability, micro hardness and rate wear were determined.

Experimental results showed that the carburization performance can be improved effectively through desirability approach

American Psychological Association (APA)

Husayn, Abbas Khammas& al-Haydari, Laith Qays Abbas& Dawud, Jamal Jalal& Ismai, Nadin Jafar. 2016. Modeling of carburization parameters process for low carbon steel. Engineering and Technology Journal،Vol. 34, no. 6A, pp.1069-1079.
https://search.emarefa.net/detail/BIM-696720

Modern Language Association (MLA)

Husayn, Abbas Khammas…[et al.]. Modeling of carburization parameters process for low carbon steel. Engineering and Technology Journal Vol. 34, no. 6A (2016), pp.1069-1079.
https://search.emarefa.net/detail/BIM-696720

American Medical Association (AMA)

Husayn, Abbas Khammas& al-Haydari, Laith Qays Abbas& Dawud, Jamal Jalal& Ismai, Nadin Jafar. Modeling of carburization parameters process for low carbon steel. Engineering and Technology Journal. 2016. Vol. 34, no. 6A, pp.1069-1079.
https://search.emarefa.net/detail/BIM-696720

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1078

Record ID

BIM-696720