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Raykar, Sunil J.
- Investigation of High Pressure Coolant Assisted Turning of Inconel 718 Using Taguchi and RSM Based Desirability Function
Abstract Views :212 |
PDF Views:3
Authors
Affiliations
1 Walchand College of Engineering Sangli, Maharashtra, IN
2 Dept. of Mechanical Engineering, Walchand College of Engineering Sangli, Maharashtra, IN
1 Walchand College of Engineering Sangli, Maharashtra, IN
2 Dept. of Mechanical Engineering, Walchand College of Engineering Sangli, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 15, No 9 (2016), Pagination: 22-30Abstract
Inconel 718 is one of the widely used superalloy of Nickel used in aerospace applications. It is also considered as "Difficult to Cut" metal. In present analysis a high pressure coolant (HPC) is introduced in cutting zone to check performance of HPC while turning Inconel 718. Experiments are carried out using a high pressure coolant range between 20 to 80 bar. Taguchi methodology is used for design of experiment (DoE). ANOVA and AOM plots are used for analysis of surface roughness. Response optimization is done with Response Surface Methodology based desirability function. All the cutting parameters are found to have significant effect on surface roughness at 95 % confidence level. The optimum process parameters for surface roughness are 80 bar pressure, 67.87 m/min speed, 0.1 mm/rev. feed and 0.5 mm depth of cut.Keywords
High Pressure Coolant, Inconel 718, Surface Roughness, Taguchi Methodology, ANOVA.
- Multiple-Criteria Decision Analysis (MCDA) and Optimization of Hard Turning using Grey Relational Analysis (GRA)
Abstract Views :185 |
PDF Views:1
Authors
Sairaj Bharat Patil
1,
Onkar Eknath Patil
1,
Tushar Ajit Patole
1,
Mrunmayee Mahesh Ghorpade
1,
Sunil J. Raykar
1
Affiliations
1 D Y Patil College of Engineering and Technology, Kolhapur, Maharashtra, IN
1 D Y Patil College of Engineering and Technology, Kolhapur, Maharashtra, IN
Source
Manufacturing Technology Today, Vol 20, No 7-8 (2021), Pagination: 45-52Abstract
This paper presents Multiple-Criteria Decision Analysis (MCDA) and Optimization approach for hard turning process of OHNS steel based with focus on wiper insert geometry. Wiper inserts are generally used in milling and turning operations for better surface finish. Since wiper insert can provide better surface finish during hard turning operation it can be considered as a potential substitute for grinding operation. In this investigation hard turning trials are conducted on OHNS steel with 55 HRc using conventional and wiper insert of 0.8 and 1.2 mm nose radius. Taguchi based L36 array with five process parameters namely type of insert, nose radius, speed (RPM), depth of cut and feed is used for Design of Experiment. Five responses are evaluated which are roughness parameters Ra and Rt, metal removal rate, power consumption and cycle time. Grey Relational Analysis (GRA) based Multiple-Criteria Decision Analysis (MCDA) and Optimization is carried out to find out optimum process parameters for responses mentioned above. The optimized process parameters during the investigation are Wiper Insert geometry with nose radius 1.2 mm, speed of 1200 RPM, feed of 0.2 mm/rev. and depth of cut 0.1 mm.Keywords
Wiper Inserts, Surface Roughness, Turning, Optimization, Grey Relational Analysis.References
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