Optimization of process parameters in turning of nuclear grade steel alloy (AISI-410) for sustainable manufacture
Joint Authors
Fatimah, Anis
Wasif, Muhammad
Mumtaz, Muhammad Umar
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 3 A (30 Sep. 2022), pp.337-346, 10 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-09-30
Country of Publication
Kuwait
No. of Pages
10
Main Subjects
Abstract EN
Metal cutting operations involve intense heat generation owing to plastic deformation of the work piece and due to friction at the tool-work piece and tool-chip interface.
The heat generated in metal cutting unfavourably affects the quality and thus the functional performance of the product.
It is known that quality and functional performance is the function of roughness and dimensional accuracy.
To maintain a longer component life, along with the robust material choice, a component should have good surface finish and dimensional accuracy.
While, for the organization to monitor and control their environmental issues in a holistic manner, emphasis in adopting eco friendly practices and protecting environment has been growing continuously across all the business sectors.
In this study, an attempt is made to optimize the process parameter of stainless steel AISI-410 alloy, a nuclear grade material, for better surface finish.
For this, Taguchi L9 orthogonal array was utilised to identify the process parameter and cutting environment.
Analysis of variance (ANOVA) was also conducted to highlight the significant parameter that affects the surface finish the most.
A statistical model to forecast the surface roughness was also developed and was validated by an experiment with a maximum error of 12%.
Results indicate that feed rate is the most critical factor that affects the surface roughness with the contribution of 91.5%, followed by environment with 5.22% contribution, cutting speed, and depth of cut with 2.7 % and 0.4 %, respectively.
The correlation coefficient of 0.9213 and conformation tests reveals that developed statistical model predicts surface roughness with the statistical error limit.
American Psychological Association (APA)
Fatimah, Anis& Wasif, Muhammad& Mumtaz, Muhammad Umar. 2022. Optimization of process parameters in turning of nuclear grade steel alloy (AISI-410) for sustainable manufacture. Journal of Engineering Research،Vol. 10, no. 3 A, pp.337-346.
https://search.emarefa.net/detail/BIM-1495110
Modern Language Association (MLA)
Fatimah, Anis…[et al.]. Optimization of process parameters in turning of nuclear grade steel alloy (AISI-410) for sustainable manufacture. Journal of Engineering Research Vol. 10, no. 3 A (Sep. 2022), pp.337-346.
https://search.emarefa.net/detail/BIM-1495110
American Medical Association (AMA)
Fatimah, Anis& Wasif, Muhammad& Mumtaz, Muhammad Umar. Optimization of process parameters in turning of nuclear grade steel alloy (AISI-410) for sustainable manufacture. Journal of Engineering Research. 2022. Vol. 10, no. 3 A, pp.337-346.
https://search.emarefa.net/detail/BIM-1495110
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 345-346
Record ID
BIM-1495110