Gaussian distribution-based modeling of cutting depth predictions of kerf profiles for ductile materials machined by abrasive waterjet

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

doi:10.1016/j.matdes.2023.111759

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…To investigate the spatial distribution of the velocity distribution and particle number, the 3 criterion is adopted, and the scar width of particles in any crosssection of the AWJ beam is assumed to be concentrated in the range of 3  . The scar width is primarily affected by the nozzle structure, standoff distance, system pressure, particle parameter, and mixing ratio [29,30], and is expressed as follows:…”

Section: Theoretical Model Of Single-pass Energy Distributionmentioning

confidence: 99%

Study on Overlap of Carburizing 18CrNiMo7-6 Alloy Steel Strengthened via Abrasive Water Jet

Liu,

Sun,

et al. 2024

Preprint

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Abrasive water jet technology has been applied to strengthen the surfaces of complex shapes and high-strength components to improve their fatigue life. In this regard, the energy distribution affects the strengthening; hence, its uniformity must be comprehensively investigated. The main parameters affecting the energy-distribution uniformity are the particle performance parameters, particle velocity distribution, particle spatial distribution, and overlap. In this study, theoretical models of single-pass energy distribution and multipass lap energy distribution are established by considering the spatial and velocity distributions of particles. Additionally, the ratio of the energy difference to the maximum energy in the lap range is determined as the index of energy-distribution uniformity. Based on the relationship between deformation and energy, the theoretical model is verified using 18CrNiMo7-6 alloy steel. Results show that the maximum theoretical deformation in a single pass is consistent with the experimental results, with an error of less than 6%; additionally, the theoretical and experimental peak and trough differences after a multipass lap show good agreement. Using the proposed model, the lap distance can be obtained to guide practical engineering applications.

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Section: Theoretical Model Of Single-pass Energy Distributionmentioning

confidence: 99%

Study on Overlap of Carburizing 18CrNiMo7-6 Alloy Steel Strengthened via Abrasive Water Jet

Liu,

Sun,

et al. 2024

Preprint

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“…The analytical expression that is employed is the one proposed by Hashish [43], based on a thorough analysis of the kerf formation and subsequent validation in many different workpiece materials under various process conditions. Although this model was developed more than 30 years ago, it was employed several times during the next years [4,[44][45][46][47][48], either as benchmark model or in a modified way, along with the much older erosion models, such as the ones of Finnie and Bitter, as it can be considered at least as a reference given its credibility and the ability to capture the variations of depth and width of the kerf based on several process parameters.…”

Section: Second Modelmentioning

confidence: 99%

“…For four decades, several authors have proposed different types of models for the prediction of the kerf dimensions, especially in the case of slot milling by AWJ. These models are based on analytical or semi-empirical formulas [3][4][5], geometrical [6,7] or kinematics models, regression models, neural networks, energy-based approaches, and models based on etching rate calculation [8], apart from FE or hybrid approaches [9][10][11]. The main differences between the various types of developed models lie in their general predictive ability, their dependence on experimental data in order to derive constant parameters, their computational cost, their flexibility to predict variations from ideal outcome, and their applicability in demanding cases [12].…”

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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AWJ machining of high-volume fraction SiCp/Al composites

Liu,

Yao,

et al. 2023

Int J Adv Manuf Technol

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Gaussian distribution-based modeling of cutting depth predictions of kerf profiles for ductile materials machined by abrasive waterjet

Cited by 9 publications

References 33 publications

Study on Overlap of Carburizing 18CrNiMo7-6 Alloy Steel Strengthened via Abrasive Water Jet

Study on Overlap of Carburizing 18CrNiMo7-6 Alloy Steel Strengthened via Abrasive Water Jet

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

AWJ machining of high-volume fraction SiCp/Al composites

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