Analysing performance and resource consumption variability using simulation of diverse 3D-printed nozzle designs for efficient cleantech operations in the mining industry
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Journal Title
Journal ISSN
Volume Title
Insinööritieteiden korkeakoulu |
Master's thesis
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Author
Date
2024
Department
Major/Subject
Manufacturing Engineering
Mcode
Degree programme
Master’s programme in Manufacturing Engineering
Language
en
Pages
38 + 6
Series
Abstract
In the field of innovation, creating and testing protypes can be an expensive process. Recent developments in manufacturing technology, especially in additive manufacturing and Computer Aided Design (CAD), have significantly transformed the process of creating and testing prototypes, respectively. The objective of this work was to predict the performance of a metal 3D printable, novel nozzle design using CAD modelling. The aim was to adopt a step-by-step approach, solving a simple 2D CAD model initially and gradually adding complexity whilst also identifying the optimal computational model. The final step was to develop a comprehensive 3D model simulation of the nozzle which best predicts the real-world behaviour. A further consideration in the testing of the nozzle was resource consumption. However, simulations of three 2D nozzles with varying air and water inlet dimensions were solved using the Mixture multiphase model and the K- ε turbulent model. As expected, increasing the inlet size resulted in increased pressure at the impact point of the spray. Unfortunately, due to unavailability of required expertise and computational resources, the floating-point exception error for the 3D model in Ansys could not be solved. Although the 3D modelling was not a success, the multiphase and turbulent models were identified as being the most suitable for use, and this was verified through successful modelling of the 2D nozzles. This study therefore serves as a strong starting point for the design and development of multiphase-flow noz-zles for industrial application.Description
Supervisor
Partanen, JouniThesis advisor
Lehtonen, JarmoKeywords
nozzle design, computational fluid dynamics, fluid dynamics, pneumatic nozzle, 3D printing, multiphase flow
