Effects of Spray Cooling Process Parameters on Machining Performance AISI 316 Steel: a Novel Experimental Technique

Ukamanal, Manoj; Mishra, Purna Chandra; Sahoo, Ashok Kumar

doi:10.1007/s40799-019-00334-y

Cited by 25 publications

(7 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The thermocouples and CHINO data acquisition system were also calibrated in similar way at ice point (0 °C) and boiling point (100 °C) of water. Similar calibration procedure of thermocouple was adopted by Ukamanal et al [33]. The response time of thermocouple was noticed to be 300 ms. Further, a hole (1 mm depth and 1 mm diameter) is created at the rake surface and principal flank face of the cutting insert using electrical discharge machining with copper electrode.…”

Section: Details Of Temperature Measurementmentioning

confidence: 70%

“…A DAS is utilized to stores, collect and distribute the data information. In the present study, the data acquisition system is being used to record the temperature data with a frequency of 0.01 s. Similar methods were adopted by several researchers [23,[33][34][35]. According to Fluke infrared camera emissivity chart, the emissivity of steel varies from 0.8 to 0.9.…”

Section: Details Of Temperature Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Roy

Kumar

Sahoo

et al. 2020

Mechanics & Industry

View full text Add to dashboard Cite

Generation of total heat in hard turning largely influenced the cutting tool wear, tool life and finishing quality of work-surface. Thus, the measurement of this heat in terms of temperature becomes a necessity for achieving favourable machining performances. Therefore, this work presents a novel study on temperature measurement in three different zones during hard turning operation of 4340 grade steel under pulsating MQL environment. Temperatures are measured at three different locations namely chip-tool interface, flank face, and machined work surface (near to tool-work contact) and the location wise temperature is termed as chip tool interface temperature (T), flank face temperature (Tf) and machined work surface temperature (Tw) correspondingly. The temperature T and Tf are measured with help of K-type thermocouple while Tw is measured by Fluke make infra-red thermal camera. Pulsating MQL significantly reduced the temperature as the maximum temperature is noticed 110 °C which corresponds to chip-tool interface temperature (T) at highest speed (200 m/min) condition. In each test, the order of temperature follow the trend as: T > Tf > Tw. Considering average of all 16 temperatures, T is 14.42% greater than Tf and 39.36% larger than Tw while Tf is 21.79% greater than Tw. Experimental results concludes that the cutting speed is the most influencing factor followed by depth of cut for both T and Tf, whereas depth of cut is the most influencing factor for Tw. Further, these temperatures are predicted using linear regression, and absolute mean error (MAE) for responses T, Tf, and Tw is noticed as 1.848%, 0.542%, and 3.766% individually. Additionally, the optimum setting of input terms are estimated using WPCA (weighted principal component analysis) and found to be dc1 (0.1 mm) − fr2 (0.08 mm/rev) − vc2 (100 m/min) − Pt2 (2 s).

show abstract

Section: Details Of Temperature Measurementmentioning

confidence: 70%

Section: Details Of Temperature Measurementmentioning

confidence: 99%

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Roy

Kumar

Sahoo

et al. 2020

Mechanics & Industry

View full text Add to dashboard Cite

show abstract

“…Nowadays, production industries are growing on a large scale, and both the State and central government are imposing strict regulations towards green and sustainable manufacturing policies [ 16 , 17 , 18 ]. That is why several scientists and researchers have been attempted on environmentally sustainable cooling-lubrication systems to enhance the cutting performance and machinability of different hard-to-cut and difficult-to-cut workpiece materials during turning operations (EN-24, EN-31,42CrMo4, 17CrNiMo6, Haynes-25, Ti6Al4V, Inconel 825, 800, 718, AISI 202, AISI 316, AISI 420, AISI 1015, AISI 4140, AISI 4340, AISI 1045, AISI 1060, AISI 52100, AISI D2, D3) [ 19 , 20 , 21 , 22 , 23 ]. In the past, several researches have conducted the application of vegetable-based cutting fluid with MQL, and recommended an improved machining performance in terms of cutting force, tool wear, and surface roughness for MQL-assisted cutting fluid in comparison to dry and wet machining [ 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Machinability Investigation of Nitronic 60 Steel Turning Using SiAlON Ceramic Tools under Different Cooling/Lubrication Conditions

Padhan

Das

et al. 2022

Materials

View full text Add to dashboard Cite

The machining of nickel-based super alloys is challenging, owing to the generation of high cutting temperatures, as well as difficulty in maintaining dimensional accuracy and minimizing surface roughness, which compels the use of cutting fluids for reducing these issues due to efficient cooling/lubrication strategies. The present work investigates the comparative performance of four cooling/lubrication techniques: dry cutting, wet, minimum quantity lubricant (MQL) and compressed-air modes in turning Nitronic 60 steel using a new-generation SiAlON ceramic inserts. Several machinability parameters were analyzed for performance evaluation. For this purpose, 16 cycles of turning trials were performed based on Taguchi’s L16 orthogonal array experimental design by varying cutting conditions and lubrication modes. MQL exhibits beneficial effects as compared to the other lubrication conditions concerning low cutting force, improved surface finish, decreased cutting temperature, longer tool life, and lower white layer thickness on machined surface. Burr formation on the saw-tooth chip surface, as well as friction, greatly influenced the tool flank wear due to improper cooling and poor lubrication approach in dry, wet, and compressed-air-cooled machining environments in comparison to MQL-machining. From an economical perspective, the tool life in MQL machining improved by 11%, 72%, and 138% in the comparison with flooded, compressed-air, and dry conditions, respectively. The results of the study demonstrate that using the MQL system can help with heat extraction capability, and provide some promising outcomes.

show abstract

“…A L9 OA is selected for Taguchi's design of experiments. Manohar et al [26] compared and validated different analytical models while machining Inconel 718. Ukamanal et al [27] investigated the spray-assisted turning performance of AISI 316 stainless under different environments.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Dimensional Tolerances and Material Removal Rate in the Orthogonal Turning of AISI 4340 Steel

Sumesh

Akbar

Purandharadass

et al. 2021

Period. Polytech. Mech. Eng.

View full text Add to dashboard Cite

Turning is one of the most used metal removal operations in the industry. It can remove material faster, giving reasonably good surface quality apart from geometrical requirements. Conformity of geometry is one of the most significant requirements of turned components to perform their intended functions. Apart from dimensional requirements, the important geometrical necessities are Circularity, Straightness, Cylindricity, Perpendicularity, etc. Since they have a direct influence on the functioning of the components, the effect of the cutting parameters on them has greater significance. In this paper experiments are carried out to examine the effect of turning parameters such as cutting speed, feed rate, and depth of cut on responses like; straightness, roundness, surface roughness, and material removal rate during turning of AISI 4340 steel. Analysis of Variance (ANOVA) is performed and the influence of parameters on each response is studied. The optimal values of parameters obtained from the study are further confirmed by conducting experiments.

show abstract

Effects of Spray Cooling Process Parameters on Machining Performance AISI 316 Steel: a Novel Experimental Technique

Cited by 25 publications

References 42 publications

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Machinability Investigation of Nitronic 60 Steel Turning Using SiAlON Ceramic Tools under Different Cooling/Lubrication Conditions

Optimization of Dimensional Tolerances and Material Removal Rate in the Orthogonal Turning of AISI 4340 Steel

Contact Info

Product

Resources

About