Fluid structure interaction (FSI) modelling of deep hole twist drilling with internal cutting fluid supply

Oezkaya, Ekrem; Iovkov, Ivan; Biermann, Dirk

doi:10.1016/j.cirp.2019.03.003

Cited by 20 publications

(5 citation statements)

References 9 publications

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“…To replace conventional metalworking fluids with environmental friendly lubrication with cleaner, safer, and high-performing coolant lubricants has become sustainable research. Environmental friendly coolant high-pressure emission supply enhances machinability [2]. The lubrication must be provided by the replacement for conventional MWFs [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Sharma

Jha

Pahuja

2023

J. Phys.: Conf. Ser.

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Duplex stainless steel (DSS) 2205 is considered difficult to cut machine materials. Therefore, an advanced cooling technique, such as a hybrid Liquid carbon dioxide (LCO2)-Minimum quantity of lubrication (MQL) approach, is proposed for drilling duplex stainless steel 2205. In this research study, parametric optimization was performed by using the Response surface method (RSM) with the box-Behnken design of the matrix. For parametric optimization, select three input parameters: drill diameter, spindle speed, and feed rate, while hole deviation and cylindricity error are output responses. The Analysis of variances (ANOVA) test showed that spindle speed is the major factor that influences both responses, e.g., hole deviation and cylindricity error, with contributions of 38.90% and 59.42%, respectively. The modeling and predictive abilities of developed Fuzzy logic system (FLS) and Artificial neural network (ANN) to the comparison of experimental results. It was also found that the predicted values from regression analysis, artificial neural networks, fuzzy logic interfaces, and the proposed method were in good agreement with actual experiment results. Also, the Artificial neural network model provides a minimum % of error of 1.36% and 2.44 %, respectively responses compared to other models.

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Section: Introductionmentioning

confidence: 99%

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Sharma

Jha

Pahuja

2023

J. Phys.: Conf. Ser.

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“…However, besides the mechanical phenomena, the impact of fluid dynamics is investigated by means of CFD simulations for various cutting contexts. For example, the group of Eberhard et al [7] and Oezkaya et al [8,9] performed intense research on flow modelling in context of drilling tools and tool lifetime.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation on Evolving Chip Geometry and Its Impact on Convective Heat Transfer during Orthogonal Cutting Processes

Helmig¹,

Göttlich²,

Liu³

et al. 2022

International Conference on Fluid Flow, Heat and Mass Transfer

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The thermal modeling of machine processes is a key tool to enhance product quality and surface integrity for high precision components. In this context, the cutting zone is of particular interest as significant stresses, temperature gradients and heat sources occur. To accurately model these processes, an FEM-CFD coupling has been developed. In the first step, a FEM chip formation simulation is performed which uses cutting parameters, material models, and mechanical properties. The FEM simulation is performed for an Inconel 718 workpiece. Afterwards, the generated chip geometry, temperature field, and heat source are transferred into a CFD model which quantifies the conjugate heat transfer and corresponding convective heat transfer coefficients at the fluid-solid interface.As recently published work focuses on the development and validation of the interface itself, the work at hand studies the impact of evolving chip geometry on convective heat transfer. Therefore, the continuously evolving chip is approximated by discretizing the geometry development into constant states. Moreover, the investigations are performed in context of a quasi-stationary problem meaning that the tool has performed several cuts and already reached a steady-state temperature field. The analysis shows that the chip has a significant impact on local heat transfer revealing further the heat transfer can be subdivided into two regions: First, a near cutting edge region where chip geometry and fluid temperature impact the heat transfer and second a tool downstream region, where the fluid temperature is the dominating parameter. In total, these studies can be used as a basis for future cooling optimization studies.

show abstract

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Convective Heat Transfer during Orthogonal Cutting Processes

Helmig¹,

Göttlich²,

Liu³

et al. 2022

JFFHMT

View full text Add to dashboard Cite

The thermal modeling of machine processes is a key tool to enhance product quality and surface integrity for high precision components. In this context, the cutting zone is of particular interest as significant stresses, temperature gradients and heat sources occur. To accurately model these processes, an FEM-CFD coupling has been developed. In the first step, a FEM chip formation simulation is performed which uses cutting parameters, material models, and mechanical properties. The FEM simulation is performed for an Inconel 718 workpiece. Afterwards, the generated chip geometry, temperature field, and heat source are transferred into a CFD model which quantifies the conjugate heat transfer and corresponding convective heat transfer coefficients at the fluidsolid interface. As recently published work focuses on the development and validation of the interface itself, the work at hand studies the impact of evolving chip geometry on convective heat transfer. Therefore, the continuously evolving chip is approximated by discretizing the geometry development into constant states. Moreover, the investigations are performed in context of a quasi-stationary problem meaning that the tool has performed several cuts and already reached a steady-state temperature field. The analysis shows that the chip has a significant impact on local heat transfer revealing further the heat transfer can be subdivided into two regions: First, a near cutting edge region where chip geometry and fluid temperature impact the heat transfer and second a tool downstream region, where the fluid temperature is the dominating parameter. In total, these results can be used as a basis for future cooling optimization studies.

show abstract

Fluid structure interaction (FSI) modelling of deep hole twist drilling with internal cutting fluid supply

Cited by 20 publications

References 9 publications

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Numerical Investigation on Evolving Chip Geometry and Its Impact on Convective Heat Transfer during Orthogonal Cutting Processes

Numerical Investigation of Convective Heat Transfer during Orthogonal Cutting Processes

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