Tribology of Micro Milled Surfaces

Twardy, Sven; Riemer, O.; Brinksmeier, E.

doi:10.4028/www.scientific.net/kem.447-448.681

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The results can be understood as a local minimum in between adhesive and abrasive effects dominating the friction in between tool and sheet metal. Furthermore, tribological test have been carried out using a micro tribometer that underlined the importance of micro structured surfaces for the provision of low coefficients of friction [10,11]. It was shown that the presence of distinct valleys can maintain a low coefficient of friction even in long term testing by trapping abrasive particles, correlating with the findings in [12].…”

Section: Function-related Applicationmentioning

confidence: 93%

Least-squares Based Parameter Identification for a Function-related Surface Optimisation in Micro Ball-end Milling

Vehmeyer

Piotrowska-Kurczewski

Böhmermann

et al. 2015

Procedia CIRP

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Micro milling is a flexible technique for the production of micro mechanical components like dies and moulds and process control is the key to reach the strong production requirements. Requirements, given by engineers and designers, are addressed mainly to the functional performance of the produced part, therfore topographic features are most decisive. Surface parameters, mainly of statistical origin, have been used for a long time in surface characterisation and process monitoring. Furthermore, it is known that these parameters correlate with the desired functional behaviour, but this knowledge is usually not used for a deterministic process design, uneconomic try and error approaches are still common.Mathematical investigations can use the full process flexibility for an in-process functionalization by selecting optimal conditions and process parameters with respect to a set of relevant surface parameters. In this study, micro ball-end milling is investigated and process parameters in order meet a predefined bearing ratio curve as accurately as possible are identified. Therefore, a mechanistic surface generation model has been developed and is used as a forward model for an iterative optimisation. Static and dynamic process geometry and a micro mechanical material removal operator are the main features of the model. In the first part of the paper the semi-empirical model is calibrated for certain tool and workpiece materials. In the second part optimal feed speed and width of cut are determined. Finally, an experimental validation is presented and the comparison of the predefined, the predicted and the experimental bearing ratio curves shows a good agreement.

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Section: Function-related Applicationmentioning

confidence: 93%

Least-squares Based Parameter Identification for a Function-related Surface Optimisation in Micro Ball-end Milling

Vehmeyer

Piotrowska-Kurczewski

Böhmermann

et al. 2015

Procedia CIRP

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show abstract

“…The connection of surface properties and frictional behavior is subject of numerous investigations. Exemplarily, in reference [16] the effect of adapted tool surfaces on the tribological conditions using micro milling has been shown.…”

Section: Locally Adapted Tribological Conditions To Influence the Matmentioning

confidence: 99%

Innovative approaches for controlling the material flow in sheet-bulk metal forming processes

et al. 2016

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-Using sheet-bulk metal forming processes the application of bulk forming operations on sheet metals enables the manufacturing of functional components with local wall thickness variations. As these processes come along with a two-and three-dimensional material flow, the control of the material flow is crucial for ensuring a proper filling of functional elements and thus ensuring the components quality. Controlling the material flow can be achieved by different solutions: the local adaption of tribological conditions and the application of process adapted semi-finished parts. In this paper, both solutions as well as their general qualification in two sheet-bulk metal forming processes are presented.

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A review of methods and effects for improving production robustness in industrial micro-deep drawing

Arinbjarnar,

Schumann,

Moske

et al. 2024

Int J Mater Form

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Tribology of Micro Milled Surfaces

Cited by 3 publications

References 8 publications

Least-squares Based Parameter Identification for a Function-related Surface Optimisation in Micro Ball-end Milling

Least-squares Based Parameter Identification for a Function-related Surface Optimisation in Micro Ball-end Milling

Innovative approaches for controlling the material flow in sheet-bulk metal forming processes

A review of methods and effects for improving production robustness in industrial micro-deep drawing

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