Corrosion
A Lecture
By
Dr. Susan M. Gallardo
Introduction
Metals do not only fail
mechanically but also due to
chemical means
Corrosion
Electrochemical Corrosion
Theory
Corrosion is chemically
induced damage to a
material that results in
deterioration of
LEIBNIZ RULE
INOPER3 Notes
Leibniz Rule
Differentiating under the integral.
named after Gottfried Leibniz.
Will be used to derive equations for
stochastic inventory models.
Let
b( x)
F ( x)
a( x)
f ( x, y )dy
Single Integral
Applying Leibniz Rule
b ( x )
LEIBNIZ RULE
- Differentiating under the integral.
Let F ( x)
b( x)
( x) f ( x, y)dy
a
Applying Leibniz Rule:
b ( x ) f ( x, y )
dF ( x) db( x)
da ( x)
f ( x, b( x)
f ( x, a ( x)
dy
a( x)
dx
dx
dx
x
Find the derivative of the following:
4x 2
1) f ( x)
QUEUEING THEORY
INOPER3
QUEUEING THEORY
I think I shall never
see
a queue as long as
this.
-Any Customer, Anytime,
Anywhere
QUEUEING THEORY
A queue is a waiting line of "customers"
requiring service from one or more servers.
A queue forms whenever existin
OPERES3
Problem Set in MARKOV ANALYSIS
1. Suppose the weekly brand-switching probabilities for two products , A and B, are
given by the transition matrix below:
A
B
A
0.55
0.45
B
0.20
0.80
a. If a consumer is a brand A buyer, what is the probability that
INOPER3
Problems in Queuing Theory
1. A computing system has a single printer attached to print out the output of the users. The
operating system software sends an average of 20 requests per hour to the printer. The printer is
capable of printing out 35 j
INDUSTRIAL ENGINEERING DEPARTMENT
Introduction to Operations Research III
Decision Theory
1. The MBA Movie Studio is trying to decide to distribute its new movie Claws. The movie
has the potential of being a great financial success (a smash), but the exec
Dynamic Programming
INOPER2 Notes
Definition
Dynamic
Programming is a
systematic technique for
breaking problems into smaller
components or parts
(decomposition) and then
recombining previous decisions
to obtain the optimal policy or
solution (composition
OPERES3 Notes
SIMULATION
DEFINITION
Simulation a mathematical
technique for conducting experiments
on a model of real life system over an
extended period of time.
Types of Variables
1) Input variable e.g., demand
2) Decision variable e.g., product
quantit
PROPERTIES OF
MATERIALS
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
INTRODUCTION
Selection of material requires
knowledge of material properties
Material properties determine how it
perform
under given loads
under certai
IRON-CARBON PHASE
DIAGRAM
Dr. Susan M. Gallardo
Chemical Engineering
Department
De la Salle University
INTRODUCTION
The phase diagram
The Use of the
phase diagram
Description of the
phase diagram
Quantitative
analysis using the
phase diagram
Fe-C Phase Di
Physical Metallurgy
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
Why is Physical Metallurgy important?
Physical Metallurgy covers the study of the
fundamental nature of metals and alloys
Necessary to explain the various ph
MECHANICAL PROPERTIES
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
HARDNESS
Resistance to scratch ( Mineralogist )
Mohs Scale of Hardness
1. Talc
2. Gypsum
3. Calcite
4. Fluorite
5. Apatite
6. Feldspar
7. Quartz
8. Topaz
9.
HEAT TREATMENT
Susan M. Gallardo
Dr. Engg.
Chemical Engineering Department
De la Salle University
DO YOU KNOW HEAT
TREATMENT?
Heat Treatment is the
intentional heating and
cooling of metals.
It may also be applied to
other materials like glass.
Purpose
MATERIALS SCIENCE &
ENGINEERING
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
COURSE DESCRIPTION
The course deals with the study of the
science of materials, materials of
engineering, properties, uses and
limitations.
Incl
METALLURGY
Dr.SusanM.Gallardo
ChemicalEngineeringDepartment
DelaSalleUniversity
Introduction
METALLURGY is the science of
separating metals from their ores (the
minerals or rocks in which they are found),
preparing them for use, and improving their
perfor
MATERIAL SELECTION IN
ENGINEERING
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
INTRODUCTION
Number of materials available is large and
increasing
Materials do not have the same properties and
costs
Design must be functio
ALLOYS AND PHASE
DIAGRAM
Dr. Susan M. Gallardo
Chemical Engineering Department
De la Salle University
INTRODUCTION
Alloys
Definition
Reasons
Mechanisms
of Alloying
Mixture
Solution
Compounds
Phase
Diagram
Types
Fe-C
Phase Diagram
ALLOYS
ALLOY
i
ALUMINUM
PRODUCTION
A Review
Dr. Susan M. Gallardo
Occurence
Composition of the earths crust
Oxygen most abundant
Silicon
Aluminum 8%
Fe slightly greater than 5%
Copper,lead, zinc, tin 1%
Occurence
Aluminum is locked up in difficulty soluble
crystalline
INOPER1
study of the effects of the changes in
parameter values on the present basic
optimal solution
Parameters:
A
OFC
Constraint Coefficients
C
RHS
b
Present Basic Optimal Solution
XB
-refers to the basic variables themselves, not
the values of the BVs
Industrial Management Engineering
Introduction to Operations Research II
Problem Set No. 3
Network Model
1. The Midstate Trucking Company has been asked to transport four truckloads of new
furniture from Hillside to Mesa. Upon investigation of the possibl
National Government Debt Falls to P5, 715 Billion as of End-October 2014
2 December 2014, Manila, Philippines: The outstanding debt of the National
Government (NG) fell to P5,713.6 billion for the month of October, P9.4 billion lower
from its level a mont
1.4. a.) What is the objective function for this problem?
- The objective function is the relationship that the production manager is trying to
minimize the cost while achieving the production target. The production manager will choose E
and L to minimize
Addressing High Rice Prices
By Ernesto M. Ordoez, July 1, 2014, Philippine Daily Inquirer
To effectively address high rice prices for the benefit of both farmers and consumers, we
must understand their root causes. We should then implement the legislated
In economics, Okun's Law is an empirically observed relationship between
unemployment and losses in a country's production. The "gap version" states that for
every 1% increase in the unemployment rate, a country's GDP will be roughly an
additional 2% lowe