Experimental investigation of process parameters on surface roughness and dimensional accuracy in hard turning of EN24 steel. (2022)
- Record Type:
- Journal Article
- Title:
- Experimental investigation of process parameters on surface roughness and dimensional accuracy in hard turning of EN24 steel. (2022)
- Main Title:
- Experimental investigation of process parameters on surface roughness and dimensional accuracy in hard turning of EN24 steel
- Authors:
- Gundarneeya, T.P.
Golakiya, V.D.
Ambaliya, S.D.
Patel, S.H. - Abstract:
- Abstract: Hard turning is the process of cutting hardened components with hardness ranging from 45 to 70 HRC within the 2-µm range. Hard turning differs from traditional turning in the sense that during hard turning it is very difficult to achieve surface finish and dimensional accuracy as compared to traditional turning. The present work focuses on the investigation of surface roughness and dimensional accuracy of EN24 steel in hard turning. Cutting tool used in this experimentation is CBN. Speed of spindle, rate of feed, nose radius, and cut depth are all variables in the process. The process is carried out by CNC lathe machine. Surface roughness values are measured by surface roughness meter and dimensional accuracy is measured using precision dial gauge. Taguchi method is used to conduct a set of experiments using design of experiments (DOE) with L9 orthogonal array. Using a statistical technique, the best values for process parameters such as surface roughness and dimension accuracy are determined based on experimental findings. The ideal process parameters on response, such as surface roughness and dimensional accuracy, were determined using analysis of variance (ANOVA). The Signal to Noise (S/N) Ratio was utilised to determine the ideal process parameter levels. The results show that spindle speed has the greatest impact on component surface roughness, followed by insert nose radius, while feed rate and cutting depth have a lesser impact when compared to the otherAbstract: Hard turning is the process of cutting hardened components with hardness ranging from 45 to 70 HRC within the 2-µm range. Hard turning differs from traditional turning in the sense that during hard turning it is very difficult to achieve surface finish and dimensional accuracy as compared to traditional turning. The present work focuses on the investigation of surface roughness and dimensional accuracy of EN24 steel in hard turning. Cutting tool used in this experimentation is CBN. Speed of spindle, rate of feed, nose radius, and cut depth are all variables in the process. The process is carried out by CNC lathe machine. Surface roughness values are measured by surface roughness meter and dimensional accuracy is measured using precision dial gauge. Taguchi method is used to conduct a set of experiments using design of experiments (DOE) with L9 orthogonal array. Using a statistical technique, the best values for process parameters such as surface roughness and dimension accuracy are determined based on experimental findings. The ideal process parameters on response, such as surface roughness and dimensional accuracy, were determined using analysis of variance (ANOVA). The Signal to Noise (S/N) Ratio was utilised to determine the ideal process parameter levels. The results show that spindle speed has the greatest impact on component surface roughness, followed by insert nose radius, while feed rate and cutting depth have a lesser impact when compared to the other factors. Furthermore cutting depth has significant influence on Dimensional accuracy of parts followed by spindle speed and nose radius, where as feed rate has little influence compared to others parameters. … (more)
- Is Part Of:
- Materials today. Volume 57:Part 2(2022)
- Journal:
- Materials today
- Issue:
- Volume 57:Part 2(2022)
- Issue Display:
- Volume 57, Issue 2, Part 2 (2022)
- Year:
- 2022
- Volume:
- 57
- Issue:
- 2
- Part:
- 2
- Issue Sort Value:
- 2022-0057-0002-0002
- Page Start:
- 674
- Page End:
- 680
- Publication Date:
- 2022
- Subjects:
- Hard turning -- EN24 steel -- Surface roughness -- Dimensional accuracy -- Taguchi -- ANOVA
Materials science -- Congresses -- Periodicals
620.1 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22147853 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.matpr.2022.02.104 ↗
- Languages:
- English
- ISSNs:
- 2214-7853
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27114.xml