Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant
Productivity and cost-effectiveness are essential components of any long-term manufacturing system. While quantity and quality are linked to productivity, the economy focuses on energy-efficient processes that produce a high output-to-input ratio. Hard-to-cut materials have always been difficult to...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/7210265 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850178176826736640 |
|---|---|
| author | T. Mohanraj N. Radhika S. Aswin Nanda V. Vignesh B. Jayaraman K. R. Ratana Selvan Yesgat Admassu |
| author_facet | T. Mohanraj N. Radhika S. Aswin Nanda V. Vignesh B. Jayaraman K. R. Ratana Selvan Yesgat Admassu |
| author_sort | T. Mohanraj |
| collection | DOAJ |
| description | Productivity and cost-effectiveness are essential components of any long-term manufacturing system. While quantity and quality are linked to productivity, the economy focuses on energy-efficient processes that produce a high output-to-input ratio. Hard-to-cut materials have always been difficult to machine because of more significant tool wear and power losses. Inconel 625 is a hard material used in aerospace and underwater applications and is milled using biolubricants with nanoparticles. Palm oil is considered a biolubricant, and titanium dioxide (TiO2) and copper oxide (CuO) are selected as nanoparticles. When the combination of biolubricants and nanoparticles is added to the workpiece’s surface, it enhanced some properties while machining. Experiments involving four factors with four levels were carried out using the Taguchi design of experiments (DoE). The feed, depth of cut, speed, and coolant with nanoparticle additives were all factors. The responses were surface roughness, spindle vibration along X, Y, and Z axes, and material removal rate. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to alter the multiresponse optimization problem to a single-response optimization problem. The S/N of TOPSIS closeness coefficients was calculated, and the optimal machining conditions were determined. Surface roughness, material removal rate, and spindle vibration were reduced by 3.10%, 6.14%, 7.54% (Vx), and 6.78% (Vz), respectively, due to the TOPSIS optimization. |
| format | Article |
| id | doaj-art-c4b43eb6e77f42809e5199f387094d7d |
| institution | OA Journals |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-c4b43eb6e77f42809e5199f387094d7d2025-08-20T02:18:47ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/7210265Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in BiolubricantT. Mohanraj0N. Radhika1S. Aswin Nanda2V. Vignesh3B. Jayaraman4K. R. Ratana Selvan5Yesgat Admassu6Department of Mechanical EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical EngineeringInstitute of Research DevelopmentProductivity and cost-effectiveness are essential components of any long-term manufacturing system. While quantity and quality are linked to productivity, the economy focuses on energy-efficient processes that produce a high output-to-input ratio. Hard-to-cut materials have always been difficult to machine because of more significant tool wear and power losses. Inconel 625 is a hard material used in aerospace and underwater applications and is milled using biolubricants with nanoparticles. Palm oil is considered a biolubricant, and titanium dioxide (TiO2) and copper oxide (CuO) are selected as nanoparticles. When the combination of biolubricants and nanoparticles is added to the workpiece’s surface, it enhanced some properties while machining. Experiments involving four factors with four levels were carried out using the Taguchi design of experiments (DoE). The feed, depth of cut, speed, and coolant with nanoparticle additives were all factors. The responses were surface roughness, spindle vibration along X, Y, and Z axes, and material removal rate. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to alter the multiresponse optimization problem to a single-response optimization problem. The S/N of TOPSIS closeness coefficients was calculated, and the optimal machining conditions were determined. Surface roughness, material removal rate, and spindle vibration were reduced by 3.10%, 6.14%, 7.54% (Vx), and 6.78% (Vz), respectively, due to the TOPSIS optimization.http://dx.doi.org/10.1155/2022/7210265 |
| spellingShingle | T. Mohanraj N. Radhika S. Aswin Nanda V. Vignesh B. Jayaraman K. R. Ratana Selvan Yesgat Admassu Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant Advances in Materials Science and Engineering |
| title | Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant |
| title_full | Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant |
| title_fullStr | Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant |
| title_full_unstemmed | Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant |
| title_short | Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant |
| title_sort | parameter optimization and machining performance of inconel 625 with nanoparticles dispersed in biolubricant |
| url | http://dx.doi.org/10.1155/2022/7210265 |
| work_keys_str_mv | AT tmohanraj parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT nradhika parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT saswinnanda parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT vvignesh parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT bjayaraman parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT krratanaselvan parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant AT yesgatadmassu parameteroptimizationandmachiningperformanceofinconel625withnanoparticlesdispersedinbiolubricant |