The manipulation of engineering design calculations by a calculation processing system: II—Implementation

1996 ◽  
Vol 59 (1) ◽  
pp. 191-193
Author(s):  
M.N.S. Hadi ◽  
A.S. Watson
Keyword(s):  
Engineering Design ◽  
Processing System ◽  
Design Calculations ◽  
Calculation Processing

Introduction

2018 ◽  
Author(s):  
Marcel Escudier
Keyword(s):  
Fluid Flow ◽  
Engineering Design ◽  
Ocean Waves ◽  
Basic Design ◽  
Natural Phenomena ◽  
Turbofan Engine ◽  
Expansion Waves ◽  
Supersonic Aircraft ◽  
Bodily Fluids ◽  
Design Calculations

In this chapter the wide array of engineering devices, from the kitchen tap (a valve) to supersonic aircraft, the basic design of which depends upon considerations of the flow of gases and liquids, is shown. Much the same is true of most natural phenomena from the atmosphere and our weather to ocean waves, and the movement of sperm and other bodily fluids. In this textbook a number of the concepts, principles, and procedures which underlie the analysis of any problem involving fluid flow or a fluid at rest are introduced. In this Introduction, examples have been selected for which, by the end of the book, the student should be in a position to make practically useful engineering-design calculations. These include a dam, a rocket motor, a supersonic aerofoil with shock and expansion waves, a turbojet engine, a turbofan engine, and the blading of a gas turbine.

Engineering design calculations with fuzzy parameters

1992 ◽  
Vol 52 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Kristin L. Wood ◽  
Kevin N. Otto ◽  
Erik K. Antonsson
Keyword(s):  
Engineering Design ◽  
Design Calculations ◽  
Fuzzy Parameters

Comparing Fuzzy and Probability Calculus for Representing Imprecision in Preliminary Engineering Design

1989 ◽  
Author(s):  
K. L. Wood ◽  
E. K. Antonsson ◽  
J. L. Beck
Keyword(s):  
Fuzzy Sets ◽  
Engineering Design ◽  
Stochastic Uncertainty ◽  
Probability Calculus ◽  
Fuzzy Calculus ◽  
Design Calculations

Abstract A technique to perform design calculations on imprecise representations of parameters using the calculus of fuzzy sets has been previously developed [17]. An analogous approach to representing and manipulating uncertainty in choosing among alternatives (imprecision) using probability calculus is presented and compared with the fuzzy calculus technique. We find that the fuzzy calculus is well suited to representing and manipulating the imprecision aspect of uncertainty, and probability is best used to represent stochastic uncertainty.

A First Class of Computational Tools for Preliminary Engineering Design

1988 ◽  
Author(s):  
K. L. Wood ◽  
E. K. Antonsson
Keyword(s):  
Fuzzy Sets ◽  
Engineering Design ◽  
Preliminary Design ◽  
Functional Requirement ◽  
Computational Tool ◽  
Computational Tools ◽  
Input Parameters ◽  
Implementation Scheme ◽  
Design Calculations ◽  
Fuzzy Parameters

Abstract Preliminary engineering design intrinsically consists of imprecise descriptions of the input parameters. We present new conceptual and algorithmic procedures for dealing with such imprecise descriptions. Specifically, a two-part method is outlined for performing design calculations on these “fuzzy” parameters, as well as determining a measure for the parameters’ coupling. By interpreting the input set of variables for preliminary design in terms of fuzzy sets, we demonstrate how the engineer may associate his subjective meaning with the input parameters and the output functional requirement, leading to the foundation of our approach. An example of the method highlights the primary issues and the implementation scheme as a computational tool.

Including Imprecision in Engineering Design Calculations

1994 ◽  
Author(s):  
William S. Law ◽  
Erik K. Antonsson
Keyword(s):  
Engineering Design ◽  
Formal Theory ◽  
Aircraft Engine ◽  
Design Tool ◽  
Design Decisions ◽  
Design Alternatives ◽  
Engine Design ◽  
Electric Aircraft ◽  
Design Calculations ◽  
Support Engineering

Abstract The Imprecise Design Tool (IDT) presented in this paper is a working computer implementation of the method of imprecision, a formal theory that represents preferences among design alternatives. An aircraft engine design example indicates how the IDT may be applied to support engineering design decisions, using the Engine Development Cost Estimator provided by General Electric Aircraft Engines, Cincinnati, Ohio.

Computations with Imprecise Parameters in Engineering Design: Background and Theory

1989 ◽  
Vol 111 (4) ◽  
pp. 616-625 ◽  
Author(s):  
K. L. Wood ◽  
E. K. Antonsson
Keyword(s):  
Engineering Design ◽  
Weighted Average ◽  
Design Parameters ◽  
Average Technique ◽  
Design Elements ◽  
Input Design ◽  
Fuzzy Calculus ◽  
Design Calculations ◽  
Imprecise Parameters ◽  
Preliminary Phase

A technique to perform design calculations on imprecise representations of parameters has been developed and is presented. The level of imprecision in the description of design elements is typically high in the preliminary phase of engineering design. This imprecision is represented using the fuzzy calculus. Calculations can be performed using this method, to produce (imprecise) performance parameters from imprecise (input) design parameters. The Fuzzy Weighted Average technique is used to perform these calculations. A new metric, called the γ-level measure, is introduced to determine the relative coupling between imprecise inputs and outputs. The background and theory supporting this approach are presented, along with one example.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

Digital Processing of STEM Images

1981 ◽  
Vol 39 ◽  
pp. 236-237
Author(s):  
A. V. Crewe ◽  
M. Ohtsuki
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Assembly Language ◽  
Processing System ◽  
Principal Component ◽  
Digital Processing ◽  
Image Analysis System ◽  
Black And White ◽  
Analysis System ◽  
Dose Imaging

We have assembled an image processing system for use with our high resolution STEM for the particular purpose of working with low dose images of biological specimens. The system is quite flexible, however, and can be used for a wide variety of images.The original images are stored on magnetic tape at the microscope using the digitized signals from the detectors. For low dose imaging, these are “first scan” exposures using an automatic montage system. One Nova minicomputer and one tape drive are dedicated to this task.The principal component of the image analysis system is a Lexidata 3400 frame store memory. This memory is arranged in a 640 x 512 x 16 bit configuration. Images are displayed simultaneously on two high resolution monitors, one color and one black and white. Interaction with the memory is obtained using a Nova 4 (32K) computer and a trackball and switch unit provided by Lexidata.The language used is BASIC and uses a variety of assembly language Calls, some provided by Lexidata, but the majority written by students (D. Kopf and N. Townes).

Sign in / Sign up

Export Citation Format

Share Document