An investigation on surface finish and flank wear in hard machining of solution treated and aged 18 % Ni maraging steel

Santhanakumar, M.; Adalarasan, R.; Siddharth, S.; Velayudham, A.

doi:10.1007/s40430-016-0572-0

Cited by 23 publications

(15 citation statements)

References 31 publications

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“…This occur as high feed paves a way to increase the cutting temperature which causes a partial machining of the work material resulting in increase of surface roughness [37]. This rough surface creates an increase in wear on the insert [38].…”

Section: Effect Of Process Parameters On Tool Wearmentioning

confidence: 99%

“…ANOVA suggests cutting speed are secondary dominating variables on reducing the surface roughness. The 3-D plot shows that increase in cutting speed paves a way in reducing the surface roughness [38,45]. The formation of built-up-edges (BUE) plays a vital role in minimising the surface roughness.…”

Section: Effect Of Process Parameters On Surface Roughnessmentioning

confidence: 99%

“…Increase in cutting speed generates high temperature together with stress developed eliminate the BUE. This results in minimising the surface roughness value [38,45].…”

Section: Effect Of Process Parameters On Surface Roughnessmentioning

confidence: 99%

See 2 more Smart Citations

Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel

Ganesan

Babu

Santhanakumar

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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Plentiful supply of coolant might enhance the machining cost and also generates environmental hazard. As a result, substitute methods are required to eliminate the problems encountered during use of coolant. In this investigation, the impact of cutting speed, feed and lubrication conditions (dry: no lubrication, oil: machining is performed with groundnut oil and nano fluid: machining performed with copper nano fluid) on surface roughness, tool wear and chip morphology in turning of H 11 steel with minimum quantity lubrication (MQL) were examined. Experiments were conducted using L 18 orthogonal array. The results reveal that copper nanofluids with MQL provide a substitute for dry and oil machining. Response surface methodology has been used to derive optimal values and mathematical models. Tool wear was reduced by 66% and surface roughness by 40% while machining with copper nano fluids. The surface roughness and tool wear were decreased under optimal machining conditions. Generation of large notched tooth in chips has been minimised with copper nano fluids. Furthermore, the morphology of the chips were analysed for dry, oil and nano fluid under scanning electron microscope to observe the texture created.

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Section: Effect Of Process Parameters On Tool Wearmentioning

confidence: 99%

Section: Effect Of Process Parameters On Surface Roughnessmentioning

confidence: 99%

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Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel

Ganesan

Babu

Santhanakumar

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although there have been many discussions regarding the influence of grinding processes parameters on the grinding residual stresses, the amount of information available in the open literature on machining maraging steel is limited to either turning [10] or individual surface integrity aspects in grinding (e.g. phase transformation [11].…”

Section: Introductionmentioning

confidence: 99%

Residual Stresses Distributions in Grinding of 3J33 Maraging Steel with Miniature Electroplated CBN Wheel

Shen

Guo

2019

MATEC Web Conf.

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It is well known that the residual stresses on the ground surface and the subsurface can influence the service quality of a component, such as fatigue life, tribological properties, and distortion. In this paper, an experimental investigation was conducted to determine the effects of grinding force, temperature and grinding conditions, such as grinding speed, workpiece speed and grinding depth, on the surface and in-depth residual stresses distributions induced by grinding of 3J33 maraging steel with the miniature electroplated CBN Wheels. The results show that a 'hook' shaped residual stress profile is generated with the maximum compressive stresses occur at the depth of 3-14 μm below the ground surface. There is a good correlation between residual stress and cutting force, but the trend related to grinding temperature is not obvious. The main grinding parameters affecting the residual stresses distributions is grinding speed, while the workpiece speed and grinding depth have the least effect.

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“…They concluded that application of nitrogen liquid during cryogenic conditions not only gives better surface integrity but also provides eco-friendly environment during machining, which addresses sustainable means of production. Turning experiments were conducted on Ni-based maraging steel by Santhanakumar et al [15] to investigate on surface roughness and tool wear. They found that improved surface finish is observed at higher cutting speed and lower feed and depth of cut, providing minimum R a and VB of 0.434 lm and 0.0234 mm, respectively.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach

Tamang

Chandrasekaran

Sahoo

2018

J Braz. Soc. Mech. Sci. Eng.

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Sustainability is a vital issue for present and future generation, and it aims to obtain overall efficiency in terms of economic, environmental and social aspects. Inconel 825 belongs to the family of nickel-based super alloy and is widely used in the chemical and marine industries. This work attempts to investigate machining performance of Inconel 825 using physical vapor deposition-titanium nitrate inserts, with a focus on sustainable machining. The effect of cutting parameters, viz. cutting speed (v), feed (f) and depth of cut (d) on three aspects of sustainability has been explored in two different machining environments, viz. dry and minimum quantity lubrication (MQL). The experimental results show a significant improvement in MQL machining and tool wear, and cutting power is reduced by 16.57 and 8.47%, respectively, and surface roughness is improved by 10.41%. The interacting effects of parameters on responses are studied using 3-D surface plots; it shows cutting speed and feed are found as dominating parameters on all the three responses. The novelty of this work is to optimize the process for the sustainable production of components by optimizing the process parameters with multiple and conflicting objectives. The sustainable optimization using genetic algorithm provides surface roughness (R a) as 0.49 lm, tool flank wear (VB) as 110.68 lm and cutting power (P) as 5.44 kW with better convergent capability having 4% deviation. For the application of manufacturing industry, an optimization table is generated for selection of optimum process parameters for achieving desired surface roughness with minimum VB or minimum P.

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An investigation on surface finish and flank wear in hard machining of solution treated and aged 18 % Ni maraging steel

Cited by 23 publications

References 31 publications

Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel

Experimental investigation of copper nanofluid based minimum quantity lubrication in turning of H 11 steel

Residual Stresses Distributions in Grinding of 3J33 Maraging Steel with Miniature Electroplated CBN Wheel

Sustainable machining: an experimental investigation and optimization of machining Inconel 825 with dry and MQL approach

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