Experimental and analytical combined thermal approach for local tribological understanding in metal cutting

Artozoul, Julien; Lescalier, Christophe; Dudzinski, D.

doi:10.1016/j.applthermaleng.2015.06.013

Cited by 12 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10 s), (ii) practically stabilizes with small residual oscillations at a certain level or demonstrates a slow growth, and (iii) decreases over a short period of time (approximately 5 s) after tool disengagement [10,13,14,15]. Other researchers [17,18,19] reported constant or near-constant heat flux behavior over the machining time. However, this flux behavior differs from the behavior observed during metal cutting, where the temperature in the primary, secondary and tertiary zones reaches its maximum value almost instantly [1].…”

Section: Introductionmentioning

confidence: 94%

See 1 more Smart Citation

Heat flux in metal cutting: Experiment, model, and comparative analysis

Kryzhanivskyy

Bushlya

Gutnichenko

et al. 2018

International Journal of Machine Tools and Manufacture

View full text Add to dashboard Cite

In this paper, a proof of time-dependent behavior of heat flux into a cutting tool is built. Its implementation calls for a new method for estimating heat flux, which was developed using an inverse problem technique. A special experimental setup was designed and manufactured to implement the method. A series of dry machining experiments were conducted with high speed steel and cemented carbide tooling. A two-stage procedure was developed to overcome the ill-posedness of the inverse heat conduction problem by transforming it into a well-posed parameter estimation problem. The first stage retrieves the value of the heat flux and specific tool heating energy Et. The second stage parametrizes and compares predefined heat flux behaviors. It was found that the time dependency of heat flux is best described by a decreasing power function.

show abstract

Section: Introductionmentioning

confidence: 94%

“…This is the first hypothesis of flux behavior over time. But in the studies devoted to spatial distribution of heat flux [17,18] and in [19], the flux was considered to be constant over time. This is the second hypothesis shown in Fig.…”

Section: Three Hypotheses About the Time Dependency Of Heat Fluxmentioning

confidence: 99%

Heat flux in metal cutting: Experiment, model, and comparative analysis

Kryzhanivskyy

Bushlya

Gutnichenko

et al. 2018

International Journal of Machine Tools and Manufacture

View full text Add to dashboard Cite

show abstract

“…The temperature for LCO 2 and CA is considerably lower than that of LN 2 , which can effectively reduce cutting heat and avoid excessive hardening. Thus, the Ra value is usually less than MQL (or NMQL) [161,162].…”

Section: Influence Mechanism Of Cmql On Surface Qualitymentioning

confidence: 99%

Cryogenic minimum quantity lubrication machining: from mechanism to application

et al. 2021

View full text Add to dashboard Cite

Cutting fluid plays a cooling-lubrication role in the cutting of metal materials. However, the substantial usage of cutting fluid in traditional flood machining seriously pollutes the environment and threatens the health of workers. Environmental machining technologies, such as dry cutting, minimum quantity lubrication (MQL), and cryogenic cooling technology, have been used as substitute for flood machining. However, the insufficient cooling capacity of MQL with normal-temperature compressed gas and the lack of lubricating performance of cryogenic cooling technology limit their industrial application. The technical bottleneck of mechanical—thermal damage of difficult-to-cut materials in aerospace and other fields can be solved by combining cryogenic medium and MQL. The latest progress of cryogenic minimum quantity lubrication (CMQL) technology is reviewed in this paper, and the key scientific issues in the research achievements of CMQL are clarified. First, the application forms and process characteristics of CMQL devices in turning, milling, and grinding are systematically summarized from traditional settings to innovative design. Second, the cooling-lubrication mechanism of CMQL and its influence mechanism on material hardness, cutting force, tool wear, and workpiece surface quality in cutting are extensively revealed. The effects of CMQL are systematically analyzed based on its mechanism and application form. Results show that the application effect of CMQL is better than that of cryogenic technology or MQL alone. Finally, the prospect, which provides basis and support for engineering application and development of CMQL technology, is introduced considering the limitations of CMQL.

show abstract

“…Extensive theoretical and experimental studies [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ] have been presented to understand the process of metal cutting. For example, Merchant [ 1 , 2 ] presented a shear-angle model to describe the cutting process with a continuous chip.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Cutting Force and Chip Formation from the True Stress–Strain Relation Using an Explicit FEM for Polymer Machining

Yang

Wang

et al. 2022

Polymers

View full text Add to dashboard Cite

In the present work, an explicit finite element (FE) model was developed for predicting cutting forces and chip morphologies of polymers from the true stress–strain curve. A dual fracture process was used to simulate the cutting chip formation, incorporating both the shear damage failure criterion and the yield failure criterion, and considering the strain rate effect based on the Johnson–Cook formulation. The frictional behaviour between the cutting tool and specimen was defined by Coulomb’s law. Further, the estimated cutting forces and chip thicknesses at different nominal cutting depths were utilized to determine the fracture toughness of the polymer, using an existing mechanics method. It was found that the fracture toughness, cutting forces, and chip morphologies predicted by the FE model were consistent with the experimental results, which proved that the present FE model could effectively reflect the cutting process. In addition, a parametrical analysis was performed to investigate the effects of cutting depth, rake angle, and friction coefficient on the cutting force and chip formation, which found that, among these parameters, the friction coefficient had the greatest effect on cutting force.

show abstract

Experimental and analytical combined thermal approach for local tribological understanding in metal cutting

Cited by 12 publications

References 16 publications

Heat flux in metal cutting: Experiment, model, and comparative analysis

Heat flux in metal cutting: Experiment, model, and comparative analysis

Cryogenic minimum quantity lubrication machining: from mechanism to application

Prediction of Cutting Force and Chip Formation from the True Stress–Strain Relation Using an Explicit FEM for Polymer Machining

Contact Info

Product

Resources

About