Process parameter optimization for the magnetic abrasive finishing of SS310s steel
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Kandhasamy Suganeswaran
, Rathinasamy Parameshwaran , Thangamuthu Mohanraj and Balasubramaniyam Meenakshipriya
Abstract
In this work, the MAF set-up is fixed on a vertical milling machine, and experiments are performed for optimizing the process parameters using central composite design (CCD) based on response surface methodology (RSM). From these experiments, output responses like percentage improvement in surface roughness (%ΔRa) and the material removal rate (MRR) are measured. An airgap is maintained in the range of 1.5-2 mm at a voltage of 10-20 V. A series of 62 experiments are conducted using selected process parameters at different levels. A grey based fuzzy algorithm is used to optimize the multi-response characteristics. The grey fuzzy reasoning grade (GFRG) is used to identify the optimal process parameters. From the results, the highest GFRG value is obtained at a voltage of 15 V with a corresponding rotational speed, machining gap, mesh number and mixing ratio of 750 rpm, 1.75 mm, 800 and 1: 2, respectively. In addition, analysis of variance (ANOVA) is used to identify the percentage contribution of each parameter in the MAF process, and the same is verified through experimentation. Optical microscopic images confirm that the surface finish of SS310s has been improved using the MAF process.
References
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© 2020, Carl Hanser Verlag, München
Articles in the same Issue
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Metallurgical Evaluation and Failure Analysis of Cracking in Wheel Rim SPFH590 Steel
- Fatigue behavior of two notched cutting tool materials – high speed steel and cemented carbide
- Early corrosion stage of welded carbon steel joints in CO2-saturated oilfield water
- Effect of quenching and tempering temperature on the tensile properties of low alloyed boron steel
- Mechanical and microstructural characterization of AA7178-TiB2 composites
- Deformation calibration mode based on the potential drop technique and strain gage measurements
- Process parameter optimization for the magnetic abrasive finishing of SS310s steel
- Structure and properties of a boronized crankshaft coating
- Microstructure and properties of fiber laser welded high strength steel butt joints
- Reusability of metallurgical slag waste in submerged arc welding powder for hardfacing
- Microstructure and thermal properties of Bi-Sn eutectic alloy
- Dry-sliding wear behavior of AISI 4140 barrel steel at elevated temperatures
- Process parameters, development and applications of stir cast composite: A review
- An algebraic-analytic model for the characterization of the frequency domain of photodiodes
- BEZUGSQUELLEN
- Materials Testing
Articles in the same Issue
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Metallurgical Evaluation and Failure Analysis of Cracking in Wheel Rim SPFH590 Steel
- Fatigue behavior of two notched cutting tool materials – high speed steel and cemented carbide
- Early corrosion stage of welded carbon steel joints in CO2-saturated oilfield water
- Effect of quenching and tempering temperature on the tensile properties of low alloyed boron steel
- Mechanical and microstructural characterization of AA7178-TiB2 composites
- Deformation calibration mode based on the potential drop technique and strain gage measurements
- Process parameter optimization for the magnetic abrasive finishing of SS310s steel
- Structure and properties of a boronized crankshaft coating
- Microstructure and properties of fiber laser welded high strength steel butt joints
- Reusability of metallurgical slag waste in submerged arc welding powder for hardfacing
- Microstructure and thermal properties of Bi-Sn eutectic alloy
- Dry-sliding wear behavior of AISI 4140 barrel steel at elevated temperatures
- Process parameters, development and applications of stir cast composite: A review
- An algebraic-analytic model for the characterization of the frequency domain of photodiodes
- BEZUGSQUELLEN
- Materials Testing