A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimisation of cutting parameters during turning of 16MnCr5 steel using Taguchi technique
https://orcid.org/http://orcid.org/0000-0001-9294-8226
This research aims to propose an optimisation of cutting parameters during the CNC turning of 16MnCr5 steel materials utilising TiN coated cutting tools. Surface finish quality is a significant criterion for many turned workpieces in a machining operation. As a result, selecting optimised cutting parameters is significant for monitoring the desired surface quality. This research aims to investigate the best cutting conditions for achieving the lowest surface roughness and highest material removal rate in CNC turning of 16MnCr5 steel materials using the Taguchi method. Taguchi techniques were used to determine the best cutting parameters for each experiment measure. The orthogonal array, signal–noise ratio, and analysis of variance were utilised to investigate turning operation performance characteristics. According to ANOVA, the depth of cut plays a significant part in constructing larger MRR, and Feed plays a critical role in creating lower surface roughness. As a result, it is probable to increase machine consumption in an automated manufacturing setting while decreasing production costs.
Optimisation of cutting parameters during turning of 16MnCr5 steel using Taguchi technique
https://orcid.org/http://orcid.org/0000-0001-9294-8226
This research aims to propose an optimisation of cutting parameters during the CNC turning of 16MnCr5 steel materials utilising TiN coated cutting tools. Surface finish quality is a significant criterion for many turned workpieces in a machining operation. As a result, selecting optimised cutting parameters is significant for monitoring the desired surface quality. This research aims to investigate the best cutting conditions for achieving the lowest surface roughness and highest material removal rate in CNC turning of 16MnCr5 steel materials using the Taguchi method. Taguchi techniques were used to determine the best cutting parameters for each experiment measure. The orthogonal array, signal–noise ratio, and analysis of variance were utilised to investigate turning operation performance characteristics. According to ANOVA, the depth of cut plays a significant part in constructing larger MRR, and Feed plays a critical role in creating lower surface roughness. As a result, it is probable to increase machine consumption in an automated manufacturing setting while decreasing production costs.
Optimisation of cutting parameters during turning of 16MnCr5 steel using Taguchi technique
https://orcid.org/http://orcid.org/0000-0001-9294-8226
This research aims to propose an optimisation of cutting parameters during the CNC turning of 16MnCr5 steel materials utilising TiN coated cutting tools. Surface finish quality is a significant criterion for many turned workpieces in a machining operation. As a result, selecting optimised cutting parameters is significant for monitoring the desired surface quality. This research aims to investigate the best cutting conditions for achieving the lowest surface roughness and highest material removal rate in CNC turning of 16MnCr5 steel materials using the Taguchi method. Taguchi techniques were used to determine the best cutting parameters for each experiment measure. The orthogonal array, signal–noise ratio, and analysis of variance were utilised to investigate turning operation performance characteristics. According to ANOVA, the depth of cut plays a significant part in constructing larger MRR, and Feed plays a critical role in creating lower surface roughness. As a result, it is probable to increase machine consumption in an automated manufacturing setting while decreasing production costs.
Optimisation of cutting parameters during turning of 16MnCr5 steel using Taguchi technique
Int J Interact Des Manuf
Agarwal, Swapnil (author) / Suman, Rajiv (author) / Bahl, Shashi (author) / Haleem, Abid (author) / Javaid, Mohd (author) / Sharma, Munesh Kumar (author) / Prakash, Chander (author) / Sehgal, Shankar (author) / Singhal, Piyush (author)
2024-05-01
12 pages
Article (Journal)
Electronic Resource
English
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