4
BAB II
TINJAUAN PUSATAKA
2.1 Proses-Proses Produksi
Banyak proses dapat dipergunakan untuk menghasilkan sebuah produk yang
memiliki bentuk, ukuran dan kualitas permukaan tertentu. Menurut Agssutanto,
proses manufaktur (atau dalam buku ini disebut juga p
Solved Examples on Statistics
References:
SPIEGEL, M. R., and Stephens, L.J. (2008). Schaum's Outline of Theory and Problems of
Statistics. McGraw Hill, Fourth Edition.
The Range
The range of the set 2, 3, 3, 5, 5, 5, 8, 10, 12 is 12 -2 = 10. Sometimes th
METU
Circuit Analysis
Circuit Analysis
by
Prof. Dr. Osman SEVAOLU
Electrical and Electronics Engineering Department
EE 209 Fundamentals of Electrical and Electronics Engineering, Prof. Dr. O. SEVAOLU, Page 1
Circuit Analysis
METU
What is an Electrical Cir
Post-Graduate Courses
An Approach to the Estimation of Measurement
Uncertainty
2
1 Introduction
1.1 Purpose of the Measurement Process
Measurement is the process of experimentally obtaining one or more quantity values that can
reasonably be attributed to
1.5
Uncertainty Calculations
R. H. DIECK
(2003)
The purpose of this section is to outline the fundamental methods of measurement uncertainty analysis for use as an objective
estimator of data quality. These methods apply to all test, evaluation, and proce
Numerical Methods in Energy Science
MEP 602
Lecture 1
Elliptic Partial Differential Equations
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor
Office hours: Tuesday: 10:15-12:15
Most of the materials presented here a
Numerical Methods in Energy Science
MEP 602
Lecture 7
Parabolic Partial Differential Equations
(Cont.)
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor, Room 303
Office hours: Monday: 13:00-14:00
Most of the material
Measurement Uncertainty Examples
1 Simple Example for Calculation of Measurement
Uncertainty
Example (Ref. [1])
Calculating the uncertainty in the length of a piece of string using a tape
measure, Figure 1.
Figure 1. Measurement of string length using a t
MEP 514 Measurements and Control
Dynamic Behavior of a Measurement System
1 Introduction
Measurement systems are often subject to inputs that vary with
time. The purpose of this module is to introduce the student to the
behavior of measuring systems when
Numerical Methods in Energy Science
MEP 602
Lecture 4
Elliptic Partial Differential Equations
(Cont.)
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor, Room 303
Office hours: Monday: 13:00-14:00
Most of the materials
FM
FORCE and PRESSURE MEASUREMENT
UNITS OF FORCE
Pound Force
- lbf
Newton
-N
Kilogram Force
- kgf
1 lbf = 0.454 kgf = 4.45 N
TYPES OF FORCE MEASURING DEVICES
Mechanical Balance
a
b
W2
c
W1
W3
From simple statics,
=
W3
=
or
1
FM
2
Proving Ring
b
F
F
r
t
Di
Chapter 2
Numerical Methods for Parabolic PDE
2.1
Introduction
Parabolic PDE arising in scientific and engineering problems are often of
the form
u t = L (u )
(1)
nd
where L (u ) is a 2 order PD operator (linear or non-linear).
Physical examples are: d
Dynamic Behavior of Measuring System
1
Introduction
The material given in this module is taken from B. Wayne Bequette (2003).Process Control: Modeling,
Design, and Simulation.Prentice Hall
Free vibration (no external force) of a single degree-of-freedom s
Numerical Methods in Energy Science
MEP 602
Lecture 6
Parabolic Partial Differential Equations
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor, Room 303
Office hours: Monday: 13:00-14:00
Most of the materials presen
Chapter 1
FUNDAMENTALS
1.1
Classification of physical problems
The majority of the problems of physics and engineering fall naturally
into one of the following three physical categories:
Equilibrium
Problems
Eigenvalue
Problems
Propagation
Problems
Equi
Numerical Methods in Energy Science
MEP 602
Lecture 5
Elliptic Partial Differential Equations
(Cont.)
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor, Room 303
Office hours: Monday: 13:00-14:00
Most of the materials
Example of Temperature Measurement Uncertainty
Source:
Gupta, S.V. (2012). Measurement Uncertainties - Physical Parameters and Calibration
of Instruments. Springer-Verlag Berlin Heidelberg.
270
11 Uncertainty in Calibration of Some More Physical Instrumen
Numerical Methods in Energy Science
MEP 602
Lecture 3
Elliptic Partial Differential Equations
(Cont.)
Dr. Hesham Othman
Mechanical Power Dept.
Cairo University, Egypt
Building 17, 3rd floor, Room 303
Office hours: Monday: 13:00-14:00
Most of the materials
Formula sheet
=
Elliptic Partial Differential Equations
1. Taylor formulas:
2. The 2nd order centered space approximation of Laplace equation
3. The 2nd order centered space approximation of Poisson equation
Where
4. The Gauss-Seidel Method
5. The Success
The circuit in Fig. 4.64 represents an unbalanced bridge. If the galvano-
meter has a resistance of 40 52, nd the current through the galvanometer.
220 V
Figure 4.64 Unbalanced bridge of Example 4.13.
Solution:
We rst need to replace the circuit
Thevenin and Norton Circuits
Thevenin
Norton
A Thevenin circuit has a voltage source in series with a resistance, while a
Norton circuit has a current source in parallel with a resistance. The key point is
that both circuits will deliver the same voltage
Week 5 Temperature Measurement
After time, temperature is the second most measured physical
unit.
Temperature Sensing Techniques (see Table 16.1)
Changes in Physical Dimensions
Bimetallic Thermometers
Filled-Bulb and Glass-Stem Thermometers
Changes in
OPERATIONAL AMPLIFIERS
An amplifier is a signal conditioning device
which alters an analog signal in a particular
manner which can be described by the
relationship:
E out (t ) = h[ E in(t )] (6.43)
where Eo is the output voltage, Ei is the input
voltage,
School of Computer Science and Electrical Engineering
28/05/01
Operational Amplifiers
Before digital computers became so universal,
analog computers were popular for solving problems
such as differential equations.
The basic building block of the analog
1
MEP 601
Signal Conditioning Fundamentals
WS 2013-2014
1 Contents
Introduction to signal conditioning
Bridge circuits
Amplifiers
Filters
2 Introduction
The output signal from the sensor of a measurement system has generally to be processed to
make it sui
111Equation Chapter 1 Section 1Derivation of the
Wheatstone Bridge Equation
A basic Wheatstone bridge circuit contains four resistances, a constant voltage input, and
a voltage gage, as illustrated below.
For a given voltage input Vin, the currents flowin
Understanding Operational
Amplifier Specifications
WHITE PAPER: SLOA011
Author: Jim Karki
Mixed Signal and Analog Operational Amplifiers
Digital Signal Processing Solutions
April 1998
IMPORTANT NOTICE
Texas Instruments (TI) reserves the right to make chan