On Influence of Turbulence Modelling on Cavitation Prediction for Flow Around P1356 Ship Propeller

Author(s):  
Conxita Lifante ◽  
Thomas Frank ◽  
Karsten Rieck

The goal of this work is to get a deeper understanding of the structure of the flow around a propeller of a passenger ship, specially the pressure field, where turbulent fluctuations and cavitation can lead to pressure oscillations, vibration and noise. The accurate prediction of cavitation has been found out to be intrinsically related to the accurate resolution of turbulent structures of the flow. Therefore, a thoroughly analysis of the turbulence modeling in this kind of application was performed. Following the Best Practice Guidelines (BPG) [1] different grids and turbulence models have been investigated. The numerical results obtained have been compared to the experimental data generated at SVA Potsdam, which includes transient pressure signals as well as cavitation patterns. A highly satisfactory agreement between numerical solutions and experiments is observed for the finest grids and a scale-resolving turbulence modeling approach (DES/SAS).

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3262 ◽  
Author(s):  
Bruno Lebon ◽  
Iakovos Tzanakis ◽  
Koulis Pericleous ◽  
Dmitry Eskin

The prediction of the acoustic pressure field and associated streaming is of paramount importance to ultrasonic melt processing. Hence, the last decade has witnessed the emergence of various numerical models for predicting acoustic pressures and velocity fields in liquid metals subject to ultrasonic excitation at large amplitudes. This paper summarizes recent research, arguably the state of the art, and suggests best practice guidelines in acoustic cavitation modelling as applied to aluminium melts. We also present the remaining challenges that are to be addressed to pave the way for a reliable and complete working numerical package that can assist in scaling up this promising technology.


2021 ◽  
Vol 1 (5) ◽  
pp. e1539
Author(s):  
Paulo Rocha ◽  
Felipe Pinto Marinho ◽  
Victor Oliveira Santos ◽  
Stéphano Praxedes Mendonça ◽  
Maria Eugênia Vieira da Silva

Topics related to the modeling of turbulent flow feature significant relevance in several areas, especially in engineering, since the vast majority of flows present in the design of devices and systems are characterized to be turbulent. A vastly applied tool for the analysis of such flows is the use of numerical simulations based on turbulence models. Thus, this work aims to evaluate the performance of several turbulence models when applied to classic problems of fluid mechanics and heat transfer, already extensively validated by empirical procedures. The OpenFOAM open source software was used, being highly suitable for obtaining numerical solutions to problems of fluid mechanics involving complex geometries. The problems for the evaluation of turbulence models selected were: two-dimensional cavity, Pitz-Daily, air flow over an airfoil, air flow over the Ahmed blunt body and the problem of natural convection between parallel plates. The solution to such problems was achieved by utilizing several Reynolds Averaged  Equations (RANS) turbulence models, namely: k-ε, k-ω, Lam-Bremhorst k-ε, k-ω SST, Lien-Leschziner k-ε, Spalart-Allmaras, Launder-Sharma k-ε, renormalization group (RNG) k-ε. The results obtained were compared to those found in the literature which were empirically obtained, thus allowing the assessment of the strengths and weaknesses of the turbulence modeling applied in each problem.


Author(s):  
Johan Hja¨rne ◽  
Jonas Larsson ◽  
Lennart Lo¨fdahl

This paper presents 2D and 3D-numerical simulations compared with experimental data from a linear Low Pressure Turbine/Outlet Guide Vane (LPT/OGV) cascade at Chalmers in Sweden. Various performance characteristics for both on and off design cases were investigated, including; pressure distributions, total pressure losses and turning. The numerical simulations were performed with the goal to validate simulation methods and create best-practice guidelines for how to accurately and reliably predict performance and off-design characteristics for an LPT/OGV. The numerical part of the paper presents results using different turbulence models and levels of mesh refinement in order to assess what is the most appropriate simulation approach. From these results it can be concluded that the k-ε Realizable model predicts both losses and turning most accurately for both on and off design conditions.


2017 ◽  
Vol 905 ◽  
pp. 83-90
Author(s):  
Cory J. Hamelin ◽  
Ondrej Muránsky ◽  
Mike C. Smith ◽  
Lyndon Edwards

The need to accurately measure and predict weld residual stresses (WRS) has led to several examinations intent on developing best-practice guidelines in the assessment of welded structures. The present investigation examines two benchmark weld specimens; both specimens are autogenous edge-welded beams, with welds deposited using a mechanised tungsten inert gas process. However, one of the beams was made from AISI 316LN austenitic steel, while the other was made from SA508 Gr.3 Cl.1 ferritic steel. Considerable differences in the cross-weld residual stress profile were observed between the two beams, prompting a detailed examination of why such differences exist. Computational weld mechanics was used to assess both processes; model validation was achieved using previously reported WRS and micro-hardness measurements. A comparison of the numerical solutions indicates that the shape misfit resulting from a sharp weld-induced thermal gradient causes significant longitudinal tensile stresses in the heat-affected zone in both specimens. The presence of influential solid-state phase transformations in the ferritic specimen leads to the formation of compressive stresses in the weld metal, while the stresses remain tensile in the weld metal region of the austenitic specimen. The compressive stresses in the ferritic specimen serve to offset the tensile stresses in the HAZ, leading to a reduction of the self-equilibrating WRS present in the ferritic parent metal.


Author(s):  
Stefano Toninel ◽  
Ian Calvert ◽  
Atanu Phukan

Efficient use of three-dimensional CFD (Computational Fluid Dynamics) and CHT (Conjugate Heat Transfer) analyses is becoming increasingly critical, in order to compress the development process required for either on-going development, or the design of new large-bore engines for power generation applications. Engine performance and reliability targets force engine developers to progressively refine and screen design iterations, from the conceptual stage up to the design-freeze, by means of CAE (Computer Aided Engineering) methods, which have to be accurate, robust and cost-effective, in order for them to effectively contribute to the product design. An efficient deployment of these tools usually requires extensive efforts to consolidate the analysis procedures and allow loosening of particular accuracy requirements, in favor of a shorter overall turn-around time. Finally, validation of the models against measurements enables the definition of best-practice guidelines for future programs. The aim of this paper is to summarize the three-dimensional thermal-fluid simulation methodologies developed in GE’s Distributed Power business, for supporting the design of reciprocating engine cylinder-heads. The work reviews the two main types of analyses which are carried out during the defined development process. Isothermal simulations are performed in order to estimate the flow-field velocities in the cylinder-head water jacket, without modeling the wall heat-transfer. If backed up by consolidated guidelines, they can be highly efficient for down-selecting design variants, simply by looking at bulk results, with minimum requirements in terms of turbulence modeling. On the other end of the complexity spectrum, CHT simulations are used to model the thermal behavior of the cylinder-head assembly, by coupling and solving at run-time the RANS (Reynolds Averaged Navier-Stokes) equation set in the fluid domain and Fourier’s equation for the heat-transfer in the solid domain. The challenging timeline associated to a new engine development program induced the authors to carefully review and adapt, on a case-by-case basis, general CFD best-practice guidelines for near-wall turbulence modeling, well-established in the CFD community. This mitigation was driven by the high complexity of a typical water-jacket geometry and by a number of uncertainties in the real-world application, related to manufacturing tolerances, material properties and operating conditions, which should be considered in order to find the optimal trade-off between absolute accuracy and computational costs. Verification and validation CHT test-cases were carried out in order to support this approach. In particular, a comparison between the predicted CHT temperature solution and thermocouple measurements, performed on a GE Jenbacher engine, is described, in order to check the effectiveness of the proposed methodology and identifying opportunities for future developments.


2014 ◽  
Vol 25 (04) ◽  
pp. 1450003 ◽  
Author(s):  
Seyed Mahmood Mousavi ◽  
Ehsan Roohi

This paper discusses the suitability of the Large Eddy Simulation (LES) turbulence modeling for the accurate simulation of the shock train phenomena in a convergent-divergent nozzle. To this aim, we selected an experimentally tested geometry and performed LES simulation for the same geometry. The structure and pressure recovery inside the shock train in the nozzle captured by LES model are compared with the experimental data, analytical expressions and numerical solutions obtained using various alternative turbulence models, including k–ε RNG, k–ω SST, and Reynolds stress model (RSM). Comparing with the experimental data, we observed that the LES solution not only predicts the "locations of the first shock" precisely, but also its results are quite accurate before and after the shock train. After validating the LES solution, we investigate the effects of the inlet total pressure on the shock train starting point and length. The effects of changes in the back pressure, nozzle inlet angle (NIA) and wall temperature on the behavior of the shock train are investigated by details.


2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711581
Author(s):  
Charlotte Greene ◽  
Alice Pearson

BackgroundOpioids are effective analgesics for acute and palliative pain, but there is no evidence base for long-term pain relief. They also carry considerable risks such as overdose and dependence. Despite this, they are increasingly prescribed for chronic pain. In the UK, opioid prescribing more than doubled between 1998 and 2018.AimAn audit at Bangholm GP Practice to understand the scale of high-strength opioid prescribing. The aim of the audit was to find out if indications, length of prescription, discussion, and documentation at initial consultation and review process were consistent with best-practice guidelines.MethodA search on Scottish Therapeutics Utility for patients prescribed an average daily dose of opioid equivalent ≥50 mg morphine between 1 July 2019 and 1 October 2019, excluding methadone, cancer pain, or palliative prescriptions. The Faculty of Pain Medicine’s best-practice guidelines were used.ResultsDemographics: 60 patients (37 females), average age 62, 28% registered with repeat opioid prescription, 38% comorbid depression. Length of prescription: average 6 years, 57% >5 years, 22% >10 years. Opioid: 52% tramadol, 23% on two opioids. Indications: back pain (42%), osteoarthritis (12%), fibromyalgia (10%). Initial consultation: 7% agreed outcomes, 35% follow-up documented. Review: 56% 4-week, 70% past year.ConclusionOpioid prescribing guidelines are not followed. The significant issues are: long-term prescriptions for chronic pain, especially back pain; new patients registering with repeat prescriptions; and no outcomes of treatment agreed, a crucial message is the goal is pain management rather than relief. Changes have been introduced at the practice: a patient information sheet, compulsory 1-month review for new patients on opioids, and in-surgery pain referrals.


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