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January 1, 2026International Journal of Machining and Machinability of Materials

Prediction of heat removal rate and surface finish in MQL with coconut oil-based NCF for Inconel machining

Subhash Khetre Arunkumar Bongale Satish Kumar

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Key Points

To predict the heat removal rate and surface finish during machining of Inconel using coconut oil-based MQL.
Analysis of heat removal rate and surface finish in Inconel processing with coconut oil-based MQL.
Comparison against traditional machining lubricants.
Evaluation of machining performance metrics.
Improved surface finish observed using coconut oil-based MQL compared to conventional methods.
Significant reduction in heat generation during machining of Inconel.

Implication

The study demonstrates improved surface finish in Inconel machining with coconut oil-based MQL, suggesting benefits for machining efficiency.

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Cite This Study

Khetre et al. (2026) studied this question.

synapsesocial.com/papers/699f956d1bc9fecf3dab33b9 https://doi.org/10.1504/ijmmm.2026.10076494

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Advancing sustainable machining of inconel 718 through nanoparticle-enhanced coconut oil and RSM–GA optimizationOriginal Research · 2026
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4Comparative analysis and experimental exploration of the milling process in the machining of Inconel 825 material under MQL2024 · 6 citations
5Performance evaluation and optimisation of MQL-based machining characteristics using TiN-coated carbide inserts on Al 6061 alloy: a smart sustainable approachOriginal Research · 2026

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Integrated assessment of tool wear, chip morphology, surface ıntegrity and energy consumption in sustainable milling of Inconel 7182026

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