Exploiting the Capabilities of Experiment and Numerical Methods

2006 ◽  
Author(s):  
Steven J. Herring
Keyword(s):  
Numerical Methods ◽  
Continuous Improvement ◽  
Physical Models ◽  
Test Cycle ◽  
Complex Flows ◽  
Time To Market ◽  
Computing Power ◽  
Commercial Drivers ◽  
User Friendly ◽  
Accuracy And Repeatability

The last 20 years has seen the development of reliable, user-friendly, RANS CFD codes which can model the steady state features of complex flows. This coupled with the diminishing cost of computing power has made the solution of large problems economical. As result of this there has been a significant reduction in the amount of testing activity undertaken. Nevertheless, high quality experiments remain essential, and the real need is to effectively exploit the strengths of the two approaches. Whilst improvements in theoretical aerodynamic methods may be leading to a decline in test activity as a whole, paradoxically, it also means that when tests are carried out there is a need for the data to be of an ever increasing quality and quantity. There are two key commercial drivers acting on test activities which are: to achieve reductions in overall test costs and to reduce the test cycle time as a part of the broader goal of reducing time to market. The paper discusses the strengths and weaknesses of experimental and numerical methods, with reference to the limitations on resolution and intrusive effect of instrumentation, and the limitations of the physical models within numerical methods. From this conclusions are drawn regarding how the two approaches complement each other. The levels of accuracy and repeatability now required in turbomachinery testing are discussed with reference to work carried out at Cranfield University. The need for a continuous improvement in both capabilities and cost effectiveness of test facilities is identified.

scholarly journals Ramp-up Process Improvement Practices for Time-to-Market Reduction

2018 ◽  
Vol 26 (1) ◽  
pp. 19
Author(s):  
Krisztián Szabó
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Continuous Improvement ◽  
Process Improvement ◽  
New Products ◽  
Core Competency ◽  
Time To Market ◽  
Serial Production ◽  
Automotive Supplier ◽  
Significant Percentage

The importance of the “Ramp-up bridge” covering the gap between product development and serial production, as well as the speed at which this bridge can be crossed, has increased, providing companies with a significant competitive advantage.However, a significant percentage of project aiming to introduce new products do not achieve their goals. [(60 percent of the automotive supplier ramp-up projects fail on either the technical, or the economic side (Bischoff, 2007)].The author explores the possible reasons, then makes suggestions regarding the support of successful ramp-up projects, through practical examples taken from the industry. Through the continuous improvement of ramp-ups, a new core competency can be achieved, with a decrease in time-to-market. This core competency is difficult to duplicate, and can provide an additional competitive advantage for companies manufacturing products with high technical complexity.

scholarly journals BUDGET UAV SYSTEMS FOR THE PROSPECTION OF SMALL- AND MEDIUM-SCALE ARCHAEOLOGICAL SITES

2016 ◽  
Vol XLI-B1 ◽  
pp. 971-977 ◽  
Author(s):  
W. Ostrowski ◽  
K. Hanus
Keyword(s):  
Low Cost ◽  
Planning System ◽  
Archaeological Sites ◽  
Quality Of Data ◽  
Computing Power ◽  
Medium Scale ◽  
The Cost ◽  
User Friendly ◽  
Operational Range

One of the popular uses of UAVs in photogrammetry is providing an archaeological documentation. A wide offer of low-cost (consumer) grade UAVs, as well as the popularity of user-friendly photogrammetric software allowing obtaining satisfying results, contribute to facilitating the process of preparing documentation for small archaeological sites. However, using solutions of this kind is much more problematic for larger areas. The limited possibilities of autonomous flight makes it significantly harder to obtain data for areas too large to be covered during a single mission. Moreover, sometimes the platforms used are not equipped with telemetry systems, which makes navigating and guaranteeing a similar quality of data during separate flights difficult. The simplest solution is using a better UAV, however the cost of devices of such type often exceeds the financial capabilities of archaeological expeditions. <br><br> The aim of this article is to present methodology allowing obtaining data for medium scale areas using only a basic UAV. The proposed methodology assumes using a simple multirotor, not equipped with any flight planning system or telemetry. Navigating of the platform is based solely on live-view images sent from the camera attached to the UAV. The presented survey was carried out using a simple GoPro camera which, from the perspective of photogrammetric use, was not the optimal configuration due to the fish eye geometry of the camera. Another limitation is the actual operational range of UAVs which in the case of cheaper systems, rarely exceeds 1 kilometre and is in fact often much smaller. Therefore the surveyed area must be divided into sub-blocks which correspond to the range of the drone. It is inconvenient since the blocks must overlap, so that they will later be merged during their processing. This increases the length of required flights as well as the computing power necessary to process a greater number of images. <br><br> These issues make prospection highly inconvenient, but not impossible. Our paper presents our experiences through two case studies: surveys conducted in Nepal under the aegis of UNESCO, and works carried out as a part of a Polish archaeological expedition in Cyprus, which both prove that the proposed methodology allows obtaining satisfying results. The article is an important voice in the ongoing debate between commercial and academic archaeologists who discuss the balance between the required standards of conducting archaeological works and economic capabilities of archaeological missions.

The Use of Augmented Reality in Geomatics

2017 ◽  
Author(s):  
Michał Bednarczyk
Keyword(s):  
User Interface ◽  
Augmented Reality ◽  
User Interfaces ◽  
Software Integration ◽  
Computing Power ◽  
Daily Work ◽  
The Core ◽  
All Solutions ◽  
Continuous Progress ◽  
User Friendly

User interfaces are in continuous progress. As the computing power of modern machines grows, they become more user-friendly and intuitive. Not all solutions are widely accepted, sometimes they become only a “curiosity”, while another ones achieve success. Lately, some user interface designers strive for such solutions, in which the user will have the impression of “staying” or “permeation” of the system with reality and therefore some kind of software integration with the environment. This is achieved by various methods utilizing interfaces controlled by voice or touch. Quite spectacular and very interesting are solutions that integrate image generated by a computer with a real view. This technology is called AR – Augmented Reality, and is the core of the author’s considerations about its application in contemporary surveying and GIS practice. In this article, are presented issues related to the possibilities that lie in the use of this technology in the daily work of geo-engineer.

Comparative Evaluation of Combustion Codes for Low-Btu Gas Applications

1991 ◽  
Author(s):  
Tah-Teh Yang ◽  
Ajay K. Agrawal
Keyword(s):  
Structural Integrity ◽  
Combustion Process ◽  
Computer Code ◽  
Physical Models ◽  
Gas Combustion ◽  
Combustion Modeling ◽  
Coal Gas ◽  
Combustion Models ◽  
Efficient Combustion ◽  
User Friendly

Four computer codes (PHOENICS, PCGC, FLUENT and INTERN) representing a spectrum of existing combustion modeling capabilities were evaluated for low-Btu gas applications. In particular, the objective was to identify computer code(s) that can be used effectively for predictions of (a) the flow field to yield efficient combustion, (b) the temperature field to ensure structural integrity and (c) species concentrations to meet environmental emission standards in a gas turbine combustor operating on low-Btu coal gas. Detailed information on physical models, assumptions, limitations and operational features of various codes was obtained through a series of computational runs of increasing complexity and grouped as (a) experimental validation, (b) code comparison and (c) application to coal gas combustion. INTERN is not suitable for the present application since it has been tailored to model combustion process of premixed hydrocarbon fuels. FLUENT is easy to use and has detailed combustion models (in Version 3), however, it is not favored here because the user is unable to alter, modify or change the existing model(s). While PCGC-2 has the most comprehensive models for combustion, it is not user friendly and is inherently limited to axisymmetric geometry. PCGC-3 is expected to overcome these drawbacks. Built in combustion models in PHOENICS are similar to those in FLUENT. However, the user can implement advanced models on PHOENICS leading to a flexible and powerful combustion code.

scholarly journals A review on variable-order fractional differential equations: mathematical foundations, physical models, numerical methods and applications

2019 ◽  
Vol 22 (1) ◽  
pp. 27-59 ◽  
Author(s):  
HongGuang Sun ◽  
Ailian Chang ◽  
Yong Zhang ◽  
Wen Chen
Keyword(s):  
Numerical Methods ◽  
Differential Equations ◽  
Fractional Differential Equations ◽  
Relevant Literature ◽  
Physical Models ◽  
Variable Order ◽  
Mathematical Tool ◽  
Fractional Differential ◽  
Mathematical Foundations ◽  
Selection Of

Abstract Variable-order (VO) fractional differential equations (FDEs) with a time (t), space (x) or other variables dependent order have been successfully applied to investigate time and/or space dependent dynamics. This study aims to provide a survey of the recent relevant literature and findings in primary definitions, models, numerical methods and their applications. This review first offers an overview over the existing definitions proposed from different physical and application backgrounds, and then reviews several widely used numerical schemes in simulation. Moreover, as a powerful mathematical tool, the VO-FDE models have been remarkably acknowledged as an alternative and precise approach in effectively describing real-world phenomena. Hereby, we also make a brief summary on different physical models and typical applications. This review is expected to help the readers for the selection of appropriate definition, model and numerical method to solve specific physical and engineering problems.

scholarly journals Approximation to Hadamard Derivative via the Finite Part Integral

Entropy ◽  
2018 ◽  
Vol 20 (12) ◽  
pp. 983 ◽  
Author(s):  
Chuntao Yin ◽  
Changpin Li ◽  
Qinsheng Bi
Keyword(s):  
Differential Equation ◽  
Wave Equation ◽  
Numerical Methods ◽  
Three Dimensional ◽  
Cylindrical Wave ◽  
Physical Models ◽  
Finite Part ◽  
Numerical Examples ◽  
Crack Problems ◽  
Hadamard Derivative

In 1923, Hadamard encountered a class of integrals with strong singularities when using a particular Green’s function to solve the cylindrical wave equation. He ignored the infinite parts of such integrals after integrating by parts. Such an idea is very practical and useful in many physical models, e.g., the crack problems of both planar and three-dimensional elasticities. In this paper, we present the rectangular and trapezoidal formulas to approximate the Hadamard derivative by the idea of the finite part integral. Then, we apply the proposed numerical methods to the differential equation with the Hadamard derivative. Finally, several numerical examples are displayed to show the effectiveness of the basic idea and technique.

scholarly journals FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF THE DYNAMIC TIME WARPING ALGORITHM FOR SPEECH RECOGNITION

2017 ◽  
Vol 10 (13) ◽  
pp. 248
Author(s):  
John Sahaya Rani Alex ◽  
Mitali Bhojwani
Keyword(s):  
Speech Recognition ◽  
Field Programmable Gate Array ◽  
Dynamic Time Warping ◽  
Recognition Algorithm ◽  
Consumer Electronics ◽  
Time Warping ◽  
Time To Market ◽  
Computing Power ◽  
Field Programmable ◽  
Dynamic Time

Objective of this research is to implement a speech recognition algorithm in smaller form factor device. Speech recognition is an extensively used inmobile and in numerous consumer electronics devices. Dynamic time warping (DTW) method which is based on dynamic programming is chosen tobe implemented for speech recognition because of the latest trend in evolving computing power. Implementation of DTW in field-programmable gatearray is chosen for its featured flexibility, parallelization and shorter time to market. The above algorithm is implemented using Verilog on Xilinx ISE.The warping cost is less if the similarity is found and is more for dissimilar sequences which is verified in the simulation output. The results indicatethat real time implementation of DTW based speech recognition could be done in future.

scholarly journals Learning Business Process Simulation Via Experiential Learning

2011 ◽  
Vol 4 (8) ◽  
pp. 19
Author(s):  
Paul F. Schikora ◽  
Brian D. Neureuther
Keyword(s):  
Discrete Event Simulation ◽  
Process Analysis ◽  
Discrete Event ◽  
Simulation Models ◽  
Simulation Software ◽  
Computing Power ◽  
Event Simulation ◽  
Software Packages ◽  
Basic Concepts ◽  
User Friendly

The use of discrete event simulation as a process analysis and improvement tool is no longer limited to industrial engineering curricula. With advancements in desktop computing power, we have seen user-friendly simulation software packages become available (e.g. ProModel, Arena, ProcessModel). However, we have found it desirable that students still learn the very basic concepts behind these simulation models in order to better understand their development and use. We present a simple classroom game that teaches students the basic discrete-event simulation concepts and processes without requiring them to learn all the underlying mathematics and scientific theory.

Toward a Multi-Objective, Multi-Level Optimization Based Engineering Decision Tool

2012 ◽  
Author(s):  
Adam J. Shuttleworth ◽  
Atul Kelkar
Keyword(s):  
Product Development ◽  
Product Design ◽  
Development Process ◽  
Computer Aided Engineering ◽  
Product Development Process ◽  
Decision Tool ◽  
Test Cycle ◽  
Time To Market ◽  
Computer Aided ◽  
Multi Level

Prior to the acceptance of computer aided engineering (CAE) software in the product development process (PDP), product development was characterized by a design-test-redesign-test cycle. This activity was time consuming and resource intensive. As CAE software tools have been integrated into the PDP, the PDP has been characterized by a design-simulate-redesign-test cycle. The addition of CAE tools to the PDP has reduced the time to market and resource consumption. Although the benefits of the integration of CAE software in the PDP process have been realized, there still exists an arbitrary relationship between the results from the CAE tools to engineering decisions regarding product design.

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