Studies on the Behaviour of the Green Particulate Fluid Lubricant in Its Nano Regime when Machining AISI 1040 Steel

Ramana, S.V.; Ramji, K.; Satyanarayana, B.

doi:10.1243/09544054jem1862

Cited by 15 publications

(8 citation statements)

References 8 publications

(13 reference statements)

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“…In addition to the chip morphology, average tool flank wear was also measured. Ramana et al 17 prepared petroleum-free lubricant by mixing two canola oil and nano-crystalline boric acid, and performance evaluation was carried out.…”

Section: Developed Al 2 O 3 /Ticmentioning

confidence: 99%

Performance evaluation of a tungsten carbide–based self-lubricant cutting tool

Muthuraja

Senthilvelan

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Tungsten carbide cutting tools with and without solid lubricant (WC-10Co-5CaF 2 and WC-10Co) were developed inhouse via powder metallurgy. The developed cutting tools and a commercial WC-10Co cutting tool were used to machine cylindrical AISI 1020 steel material under dry conditions. The cutting force and average cutting tool temperature were continuously measured. The cutting tool flank surface and chip morphology after specific tool life (5 min of cutting) were examined to understand tool wear. The flank wear of the considered cutting tools was also measured to quantify the cutting tool life. The surface roughness of the workpiece was measured to determine the machining quality. The developed cutting tool with solid lubricant (WC-10Co-5CaF 2) generated 20%-40% less cutting force compared to that of the developed cutting tool without solid lubricant (WC-10Co). In addition, the finish of the workpiece surface improved by 16%-20% when it was machined by the solid lubricant cutting tool. The cutting tool with solid lubricant (WC-10Co-5CaF 2) exhibited a 15%-18% reduction in flank wear. Curlier and smaller saw tooth chips were generated from the WC-10Co-5CaF 2 cutting tool, confirming that less heat was generated during the cutting process, and the finish of the machined surface was also improved.

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Section: Developed Al 2 O 3 /Ticmentioning

confidence: 99%

Performance evaluation of a tungsten carbide–based self-lubricant cutting tool

Muthuraja

Senthilvelan

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…The phenomenon of de-creased surface quality in terms of particle size is proved in one of the works where solid particles of sizes ranging from micro to nano level were used during turning operations. The experimentations revealed that better surface finish is obtained when larger particle sizes in the nano regime are used [25].…”

Section: Tribologia -Finnish Journal Of Tribology 1-2 Vol 37/2020mentioning

confidence: 99%

Tribological behavior of the boric acid and titanium dioxide based nanofluid in machining of EN24 steel

2020

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Turning operation is a widely recognized metal removal process in the industry. If the machining were not run efficiently, it may affect the performance of the tool and the work piece by generating higher cutting forces and the temperature as in hard steel. To minimize these effects, lubrication has to be effective in reducing these forces and lowering the tool temperature. In the present study, machining experiments were conducted on EN24 steel with the application of nano sized boric acid (50 nm) as the solid lubricant that is mixed with titanium dioxide (100 µm) in SAE 40 oil. Turning tests are conducted using tungsten carbide tool inserts under dry, wet and MQL conditions to measure and compare the cutting forces, tool temperatures and roughness of the work piece. Results indicate that boric acid enables significant reduction in the cutting forces which in combination with the titanium dioxide helps to improve the heat dissipation; an advantage that makes such lubricants an effective cutting fluid. H3BO3 and TiO2 based nanofluid resulted in reducing the surface roughness of up to 2.7 µm that is a re-duction by ~15%.

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“…3 Because of its extensive use, several studies have been conducted to investigate the machinability of AISI 1040 steel. [4][5][6][7] Using ML approaches has resulted in a significant improvement in the quality of the machining process for AISI 1040 steel. 8,9 Due to the time and technical constraints that exist in the industry today, conducting experiments at all parameters is not practicable.…”

Section: Introductionmentioning

confidence: 99%

The use of machine learning and metaheuristic algorithm for wear performance optimization of AISI 1040 steel and investigation of corrosion resistance

Agrawal

Mukhopadhyay

2022

Proceedings of the Institution of Mechanical Engineers, Part J:

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AISI 1040 steel offers a wide range of industrial applications due to its mechanical characteristics and applicability. The present work investigates the wear performance of AISI 1040 steel under dry sliding conditions and its optimization using combined machine learning (ML) and metaheuristic algorithm. Sliding wear test were carried out on a pin-on-disc tribometer by varying the load (10–100 N), sliding speed (0.5–1.5 m/s) and sliding distance (400–1000 m). The test parameters were varied at three levels. Experiments were carried out following combinations in Taguchi's L27 orthogonal array (OA). Artificial neural network (ANN) was used to model the process parameters with wear rate. The trained network was optimized using genetic algorithm (GA) to predict optimal wear rate. This methodology has been termed as ANN-GA method. The results were compared with conventional Taguchi based and regression based GA optimization. A significant reduction in the wear rate could be realized due to optimization using ANN-GA method. This work also examined the corrosion behaviour of AISI 1040 steel exposed to 3.5% NaCl, 3.5% NaOH, 0.5 M H2SO4 and 3.5% NaCl + 0.5 M H2SO4 to simulate various corrosive environments encountered in industrial applications. A nobler corrosion potential was obtained in 3.5% NaOH. Investigations of corroded samples showed pitting corrosion in 3.5% NaCl, 0.5 M H2SO4 as well as combined chloride and sulphate attack. On the other hand, negligible corrosion was observed in 3.5% NaOH.

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Studies on the Behaviour of the Green Particulate Fluid Lubricant in Its Nano Regime when Machining AISI 1040 Steel

Cited by 15 publications

References 8 publications

Performance evaluation of a tungsten carbide–based self-lubricant cutting tool

Performance evaluation of a tungsten carbide–based self-lubricant cutting tool

Tribological behavior of the boric acid and titanium dioxide based nanofluid in machining of EN24 steel

The use of machine learning and metaheuristic algorithm for wear performance optimization of AISI 1040 steel and investigation of corrosion resistance

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