Development and validation of an improved end-to-end CFD analysis and design tool for aircraft engine nacelles.

2022 ◽  
Author(s):  
David M. Pons ◽  
Carlo Arguinzoni ◽  
Adam Norman ◽  
Valerio Viti
2010 ◽  
Vol 45 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Ramesh P. Rudra ◽  
Bahram Gharabaghi ◽  
Saleh Sebti ◽  
Neelam Gupta ◽  
Ashwini Moharir

Abstract The Guelph design tool for vegetative filter strips, GDVFS, is a toolkit for the analysis and design of vegetative filter strips (VFSs). The upland hydrology model UH and the vegetative filter strip model VFSMOD (the two main components of GDVFS) were adopted from an existing interface (VFSMOD-W), and new nutrient and bacteria transport add-ons for UH and VFSMOD were incorporated into GDVFS. Other utilities and tools were also included in GDVFS to provide a capable toolkit for the analysis and design of VFSs. The published evaluation of computational procedures used in GDVFS indicates that these procedures perform very well in the estimation of VFS sediment and phosphorus removal efficiencies. According to these results, comparison of the predicted and observed values for sediment and phosphorus removal efficiencies indicates 10 and 20% error, respectively. This paper provides descriptions on the capabilities and methodology followed in the GDVFS toolkit.


Author(s):  
Geneviève Rodrigue ◽  
Chris K. Mechefske

Experimental and computational modal analysis has been completed as part of a larger project with the ultimate goal of understanding MRI vibration and implementing passive vibration isolation in the MRI machine support structure. The specific purpose of the modal analysis is to extract natural frequencies (eigenvalues) and mode shapes (eigenvectors) of the MRI support structure in order to validate the computational model of the base against the experimental results so that the former may be used as an analysis and design tool. From the model, the resonance points of the MRI support structure are determined within the expected frequency ranges of excitation.


Author(s):  
Timothy F. Miller

An unfortunate aspect of engineering education in general, and turbomachinery education in specific, has been the difficulty of incorporating the design aspect of instruction with the time-consuming components that make up theoretical instruction. The primary reason for this difficulty is the extremely limited time (typically three months) allocated to teach turbomachinery as a senior-level quarter or semester technical elective. It is desirable to develop an educational design tool that can be simultaneously exercised by a student to perform various design tasks and function as a means of theoretical instruction. Such a tool can permit the students both greater depth and breadth of exposure and may be subsequently used by the students in their future capacity as professional engineers. In this paper, this tool is illustrated by several applications of a commercial “graphical spreadsheet” software package (MathCAD, though others such as Mathmatica and Macsyma are appropriate as well). Some graphical spreadsheet design tools are presented, and these tools are applied to the analysis and design of a radial pump, centrifugal compressor, and radial-inflow turbine.


Author(s):  
Dinghao Pan ◽  
Andrea Vacca

Abstract Lumped parameter approaches for the description of the flow displaced by hydrostatic pumps and motors have proven to be very effective for both analysis and design purposes. However, while these methods are relatively easy to implement for most of the existing design architectures for positive displacement machines, the case of a crescent-type internal gear machine (CIGM) presents clear challenges as it pertains to the definition of lumped control volumes within the machine. This paper proposes an original scheme for defining lumped control volumes within a CIGM with involute teeth profiles, which is suitable for developing fluid dynamic simulation models for CIGMs. The proposed method strictly obeys fundamental rules on continuous volumes required by lumped parameters models. This is achieved by defining not only multiple control volumes for each displacement chamber but also two variable porting volumes to respect the volume conservation. To prove the validity of the proposed numerical method, the paper provides comparisons between the displaced volume found by the proposed lumped parameter approach and the theoretical kinematic flow ripple provided by an analytical formula available from literature. The results show how the method can be used as a design tool for CIGMs, and particularly to further develop lumped parameter simulation models for detailed fluid dynamic analysis of CIGMs.


2018 ◽  
Vol 97 (2) ◽  
pp. 49-59
Author(s):  
M. Panelli ◽  
A. Smoraldi ◽  
V. De Simone ◽  
F. Battista

Robotica ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 245-253 ◽  
Author(s):  
Jingzhou (James) Yang ◽  
Tim Marler ◽  
Salam Rahmatalla

SUMMARYPosture prediction plays an important role in product design and manufacturing. There is a need to develop a more efficient method for predicting realistic human posture. This paper presents a method based on multi-objective optimization (MOO) for kinematic posture prediction and experimental validation. The predicted posture is formulated as a multi-objective optimization problem. The hypothesis is that human performance measures (cost functions) govern how humans move. Twelve subjects, divided into four groups according to different percentiles, participated in the experiment. Four realistic in-vehicle tasks requiring both simple and complex functionality of the human simulations were chosen. The subjects were asked to reach the four target points, and the joint centers for the wrist, elbow, and shoulder and the joint angle of the elbow were recorded using a motion capture system. We used these data to validate our model. The validation criteria comprise R-square and confidence intervals. Various physics factors were included in human performance measures. The weighted sum of different human performance measures was used as the objective function for posture prediction. A two-domain approach was also investigated to validate the simulated postures. The coefficients of determinant for both within-percentiles and cross-percentiles are larger than 0.70. The MOO-based approach can predict realistic upper body postures in real time and can easily incorporate different scenarios in the formulation. This validated method can be deployed in the digital human package as a design tool.


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