Determination of Optimum Machining Parameters for Face Milling Process of Ti6A14V Metal Matrix Composite Article Swipe
Layatitdev Das
,
Rakesh Nayak
,
Kuldeep K. Saxena
,
Jajneswar Nanda
,
Shakti Prasad Jena
,
Ajit Behera
,
Shankar Sehgal
,
Chander Prakash
,
Saurav Dixit
,
Dalael Saad Abdul-Zahra
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ma15144765
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ma15144765
This paper shows the novel approach of Taguchi-Based Grey Relational Analysis of Ti6Al4V Machining parameter. Ti6Al4V metal matrix composite has been fabricated using the powder metallurgy route. Here, all the components of TI6Al4V machining forces, including longitudinal force (Fx), radial force (Fy), tangential force (Fz), surface roughness and material removal rate (MRR) are measured during the facing operation. The effect of three process parameters, cutting speed, tool feed and cutting depth, is being studied on the matching responses. Orthogonal design of experiment (Taguchi L9) has been adopted to execute the process parameters in each level. To validate the process output parameters, the Grey Relational Analysis (GRA) optimization approach was applied. The percentage contribution of machining parameters to the parameter of response performance was interpreted through variance analysis (ANOVA). Through the GRA process, the emphasis was on the fact that for TI6Al4V metal matrix composite among all machining parameters, tool feed serves as the highest contribution to the output responses accompanied by the cutting depth with the cutting speed in addition. From optimal testing, it is found that for minimization of machining forces, maximization of MRR and minimization of Ra, the best combinations of input parameters are the 2nd stage of cutting speed (175 m/min), the 3rd stage of feed (0.25 mm/edge) as well as the 2nd stage of cutting depth (1.2 mm). It is also found that hardness of Ti6Al4V MMC is 59.4 HRA and composition of that material remain the same after milling operation.
Related Topics
Concepts
Machining
Taguchi methods
Materials science
Grey relational analysis
Titanium alloy
Design of experiments
Surface roughness
Metal matrix composite
Orthogonal array
Mechanical engineering
Process variable
Composite number
Process (computing)
Composite material
Computer science
Metallurgy
Engineering
Mathematics
Alloy
Mathematical economics
Operating system
Statistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ma15144765
- https://www.mdpi.com/1996-1944/15/14/4765/pdf?version=1657189878
- OA Status
- gold
- Cited By
- 98
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4284878674
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4284878674Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ma15144765Digital Object Identifier
- Title
-
Determination of Optimum Machining Parameters for Face Milling Process of Ti6A14V Metal Matrix CompositeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-07Full publication date if available
- Authors
-
Layatitdev Das, Rakesh Nayak, Kuldeep K. Saxena, Jajneswar Nanda, Shakti Prasad Jena, Ajit Behera, Shankar Sehgal, Chander Prakash, Saurav Dixit, Dalael Saad Abdul-ZahraList of authors in order
- Landing page
-
https://doi.org/10.3390/ma15144765Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1944/15/14/4765/pdf?version=1657189878Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1944/15/14/4765/pdf?version=1657189878Direct OA link when available
- Concepts
-
Machining, Taguchi methods, Materials science, Grey relational analysis, Titanium alloy, Design of experiments, Surface roughness, Metal matrix composite, Orthogonal array, Mechanical engineering, Process variable, Composite number, Process (computing), Composite material, Computer science, Metallurgy, Engineering, Mathematics, Alloy, Mathematical economics, Operating system, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
98Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 26, 2024: 54, 2023: 10, 2022: 8Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5030396246, https://openalex.org/A5044941194, https://openalex.org/A5101848917 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I110360157, https://openalex.org/I16292982, https://openalex.org/I212220629, https://openalex.org/I3132702812 |
| citation_normalized_percentile.value | 0.9929778 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |