Finite element modelling of abrasive waterjet milled footprints

Anwar, Saqib; Axinte, Dragoş; Becker, A.A.

doi:10.1016/j.jmatprotec.2012.09.006

Cited by 70 publications

(23 citation statements)

References 31 publications

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“…As AWJ cutting is a dwell-time-dependent process, the material removal is related to the energetic parameters and the kinematic variables [3]. There is a need to investigate the relationship between the process parameters and cutting depth in order to enable the process control and optimisation [17,18]. This paper presents an experimental study on AWJ machining of the most commonly used titanium alloy, Ti-6Al-4V, in two types of operations, i.e.…”

Section: Introductionmentioning

confidence: 99%

An experimental study of abrasive waterjet machining of Ti-6Al-4V

Wang

2015

Int J Adv Manuf Technol

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This paper presents an experimental study on abrasive waterjet (AWJ) machining of the most commonly used titanium alloy, Ti-6Al-4V. Two types of machining operations, i.e. drilling (or piercing) and slotting, were conducted. For the drilling experiments, the influences of water pressure and drilling time were investigated. It was found that both the hole depth and diameter increased as drilling time increased but in a decreasing rate. An increase in the water pressure increased both the hole depth and the hole diameter. For the slot cutting, the influence of water pressure and the traverse speed were investigated. A slower traverse speed resulted in a deeper depth of cut. The kerf showed a taper shape with a wider entry on top, and the width decreased as jet cut into the material. At the bottom of the kerf, a pocket was generated. The variation of the depth of cut became insignificant when the traverse speed was increased.

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Section: Introductionmentioning

confidence: 99%

An experimental study of abrasive waterjet machining of Ti-6Al-4V

Wang

2015

Int J Adv Manuf Technol

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“…A common approach is to use finite-element models of multiple particles hitting the surface at high velocity [6][7][8]. These simulations are computationally expensive, which makes the models difficult to use when investigating how to machine parts with large features.…”

Section: Introductionmentioning

confidence: 99%

Stochastic simplified modelling of abrasive waterjet footprints

2016

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Abrasive micro-waterjet processing is a nonconventional machining method that can be used to manufacture complex shapes in difficult-to-cut materials. Predicting the effect of the jet on the surface for a given set of machine parameters is a key element of controlling the process. However, the noise of the process is significant, making it difficult to design reliable jet-path strategies that produce good quality parts via controlled-depth milling. The process is highly unstable and has a strong random component that can affect the quality of the workpiece, especially in the case of controlled-depth milling. This study describes a method to predict the variability of the jet footprint for different jet feed speeds. A stochastic partial differential equation is used to describe the etched surface as the jet is moved over it, assuming that the erosion process can be divided into two main components: a deterministic part that corresponds to the average erosion of the jet and a stochastic part that accounts for the noise generated at different stages of the process. The model predicts the variability of the trench profiles to within less than 8%. These advances could enable abrasive micro-waterjet technology to be a suitable technology for controlled-depth milling.

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“…There were several reported studies in consideration of the direct problem when it is necessary to predict the trench surface with a given model and its set of parameters. Some well-known methods based on the statistical approaches [5] and finite element methods [6][7][8] have been used and reported. For solving the direct problem, which particularly 2 International Journal of Engineering Mathematics involves a nonlinear PDE, some information about the model parameters such as coefficients or energy sources is required, but often most of them are unavailable or unknown in advance and need to be identified.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Studies and Parameters Identification for Noisy 3D Moving AWJM Model

Auroux

Groza

2016

International Journal of Engineering Mathematics

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This work focuses on the identification of optimal model parameters related to Abrasive Waterjet Milling (AWJM) process. The evenly movement as well as variations of the jet feed speed was taken into account and studied in terms of 3D time dependent AWJM model. This gives us the opportunity to predict the shape of the milled trench surfaces. The required trench profile could be obtained with high precision in lack of knowledge about the model parameters and based only on the experimental measurements. We use the adjoint approach to identify the AWJM model parameters. The complexity of inverse problem paired with significant amount of unknowns makes it reasonable to use automatic differentiation software to obtain the adjoint statement. The interest in investigating this problem is caused by needs of industrial milling applications to predict the behavior of the process. This study proposes the possibility of identifying the AWJM model parameters with sufficiently high accuracy and predicting the shapes formation relying on self-generated data or on experimental measurements for both evenly jets movement and arbitrary changes of feed speed. We provide the results acceptable in the production and estimate the suitable parameters taking into account different types of model and measurement errors.

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Finite element modelling of abrasive waterjet milled footprints

Cited by 70 publications

References 31 publications

An experimental study of abrasive waterjet machining of Ti-6Al-4V

An experimental study of abrasive waterjet machining of Ti-6Al-4V

Stochastic simplified modelling of abrasive waterjet footprints

Sensitivity Studies and Parameters Identification for Noisy 3D Moving AWJM Model

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