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Visualization of High Speed Liquid Jet Impaction on a Moving Surface

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Enhancing High-Alloy Steel Cutting with Abrasive Water Injection Jet (AWIJ) Technology: An Approach Using the

Andrzej Perec¹, Elzbieta Kawecka¹, Frank Pude^2,3

¹Faculty of Technology, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland.

Materials (Basel, Switzerland)

|August 29, 2024

Summary

Abrasive waterjet cutting (AWIJ) offers precise machining for difficult materials. Traverse speed is the key factor influencing surface roughness in X22CrMoV12-1 steel cutting.

Keywords:

abrasive water injection jet high-alloy steel modeling response surface method surface roughness

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Area of Science:

Materials Science
Manufacturing Engineering
Mechanical Engineering

Background:

Traditional machining methods struggle with efficiency and precision for difficult-to-machine materials.
High-energy abrasive water injection jet (AWIJ) machining is a versatile technology capable of cutting diverse materials, including composites, in challenging environments.

Purpose of the Study:

To investigate the machining quality performance of AWIJ on X22CrMoV12-1 high-alloy steel.
To model and optimize the process control parameters affecting surface roughness.

Main Methods:

Response Surface Method (RSM) was employed for process modeling.
Key parameters investigated: abrasive flow rate, pressure, and traverse speed.
Analysis of Variance (ANOVA) was used to validate the model's fit.

Main Results:

A mathematical model was developed to predict cut kerf surface roughness.
Traverse speed was identified as the most significant parameter influencing roughness.
Optimal conditions yielded a surface roughness (Sq) not exceeding 2.3 μm.
The developed model demonstrated over 96% fit with experimental outcomes.

Conclusions:

AWIJ machining provides a viable solution for precise cutting of high-alloy steels.
RSM effectively models and optimizes AWIJ parameters for surface quality.
The study successfully identified optimal parameters to achieve high-quality cuts with reduced computational effort.