ONLINE TOOL WEAR PREDICTION MODELS IN MINIMUM QUANTITY LUBRICATION

1
Dr. S.Narayana Rao
Dr. S.Narayana Rao
2
S.Narayana Rao
S.Narayana Rao
3
Dr.B.Satyanarayana
Dr.B.Satyanarayana
4
Dr.K.Venkatasubbaiah
Dr.K.Venkatasubbaiah
1 GITAM UNIVERSITY

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GJRE Volume 11 Issue B5

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With the problems in usage of cutting fluids, the use of Minimum Quantity Lubrication (MQL) has gained prominence. Though several mathematical models have been postulated in literature on dry cutting, models that deal with cutting fluids are very rare and the models on MQL are seldom found. The present work tries to discuss regression and artificial neural network models postulated on influence of MQL on tool wear, while machining AISI 1040 steel using HSS tool. The proposed models were validated with the experimental results.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Dr. S.Narayana Rao. 2011. \u201cONLINE TOOL WEAR PREDICTION MODELS IN MINIMUM QUANTITY LUBRICATION\u201d. Global Journal of Research in Engineering - B: Automotive Engineering N/A (GJRE Volume 11 Issue B5): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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v1.2

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September 7, 2011

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English

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With the problems in usage of cutting fluids, the use of Minimum Quantity Lubrication (MQL) has gained prominence. Though several mathematical models have been postulated in literature on dry cutting, models that deal with cutting fluids are very rare and the models on MQL are seldom found. The present work tries to discuss regression and artificial neural network models postulated on influence of MQL on tool wear, while machining AISI 1040 steel using HSS tool. The proposed models were validated with the experimental results.

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ONLINE TOOL WEAR PREDICTION MODELS IN MINIMUM QUANTITY LUBRICATION

S.Narayana Rao
S.Narayana Rao
Dr.B.Satyanarayana
Dr.B.Satyanarayana
Dr.K.Venkatasubbaiah
Dr.K.Venkatasubbaiah

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