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Minimum quantity lubrication (MQL) is a promising new fluid delivery technique in grinding. However, the thermal behaviour of the process under such cooling conditions remains unclear. This work reports on the results of a recent investigation of MQL in fine-cut plane surface grinding. The experimental study considered three conditions: conventional low pressure fluid delivery, dry grinding and MQL delivery. Common steels EN8, M2 and EN31 were ground with a general purpose alumina wheel. Conventional fluid used was a general purpose 5% by volume emulsion; MQL fluid was a general purpose machining oil. Grinding temperatures were measured using the single-pole thermocouple method. Grinding temperatures obtained from experiment are compared with those predicted from theory. Results obtained demonstrate that MQL can deliver a comparable thermal performance to conventional flood delivery under the conditions investigated. Grinding kinematics are discussed to explain the outcomes and to improve understanding of MQL grinding performance.

Fluid delivery in grinding process remains an important matter requiring further research. The growing demand and the rising cost of cutting fluid usage and the environmental aspect of fluid disposal are a key driver for research into alternative fluid delivery techniques. One of the alternative fluid reduction methods employed in machining is minimum quantity lubrication (MQL). In specific grinding operations, MQL is capable of maintaining or even reducing temperature, yet using extremely small amounts of lubricant. Therefore, MQL addresses not only more economical production costs but also a critical matter of the natural and worker environment protection. This article reviews application of the MQL technique in abrasive machining in comparison to conventional and dry grinding. Common steels EN8, M2, and EN31 were ground with a general purpose alumina wheel. Results obtained determined that MQL performance can be compared to flood delivery under the conditions investigated. In some specific conditions, MQL achieved better results. Performance indicators included: grinding power, specific forces (tangential and normal), grinding temperature, and workpiece surface roughness.

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