Predictive modeling approach for the jet lag in multi-pass cutting of thick materials using abrasive waterjet

Chen, Jianfeng; Yuan, Yemin; Gao, Hang; Zhou, Tianyi; Wu, Ziquan

doi:10.1016/j.jmapro.2022.08.059

Cited by 11 publications

(1 citation statement)

References 26 publications

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“…Adsul and Srinivasu [40] also created a model dedicated to predicting the profile of AWJ machined pockets, taking into account the stochastic nature of AWJ and particle erosion in order to be able to predict the uneven features that occur during freeform surface milling by AWJ. Chen et al [41] focused on modeling the effect of jet lag during the machining of freeform surfaces and developed an appropriate model based on dimensional analysis. Finally, Ozcan et al [42] presented a comprehensive model for controlled-depth AWJ milling, including an energy-based approach and a dynamic model for the evolution of surface geometry after milling passes, which was subsequently validated by experimental measurements.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Efficient Modeling Approaches for Performing Controlled-Depth Abrasive Waterjet Pocket Milling

Karkalos,

Karmiris-Obratański

2024

Machines

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Non-conventional processes are considerably important for the machining of hard-to-cut alloys in various demanding applications. Given that the surface quality and integrity, dimensional accuracy, and productivity are important considerations in industrial practice, the prediction of the outcome of the material removal process should be able to be conducted with sufficient accuracy, taking into consideration the computational cost and difficulty of implementation of the relevant models. In the case of AWJ, various types of approaches have been already proposed, both relying on analytical or empirical models and developed by solving partial differential equations. As the creation of a model for AWJ pocket milling is rather demanding, given the number of parameters involved, in the present work, it is intended to compare the use of three different types of efficient modeling approaches for the prediction of the dimensions of pockets milled by AWJ technology. The models are developed and evaluated based on experimental results of AWJ pocket milling of a titanium workpiece by an eco-friendly walnut shell abrasive. The results indicate that a semi-empirical approach performs better than a two-step hybrid analytical/semi-empirical method regarding the selected cases, but both methods show promising results regarding the realistic representation of the pocket shape, which can be further improved by a probabilistic approach.

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Section: Introductionmentioning

confidence: 99%