Title: CHAPTERS 3
1 CHAPTERS 3 4
- Freshman Clinic 1
- 27 NOVEMBER 2006 Lecture Week 11
- ROWAN UNIVERSITY
- College of Engineering
- Dr Peter Mark Jansson, PP PE
- Associate Professor
- DEPARTMENT OF ELECTRICAL COMPUTER ENGINEERING
- Autumn Semester 2006
2Admin
- Will Grade Mid-Term as a Class
- HW 7 due next week at 9.50 AM
3Freshman Clinic I
- Todays Learning Objectives
- Engineering Problem analysis
- Engineering Method
- Problem Presentation
- Documentation
- Representing Technical Information
4Chapter 3 Engineering Solutions
- The Art Science of Engineering Solutions
- Engineering Science
- Mathematics, chemistry, physics, mechanics, other
technical subjects - Engineering Art
- Judgment, experience, common sense, know-how in
real life, knowing when science can and may not
be applicable
5What is the Engineering Method?
- 1. Recognizing and defining the right problem
- 2. Accumulate data and verify accuracy
- 3. Select appropriate theory or principle
- 4. Make necessary assumptions
- 5. Solve the problem
- 6. Verify and check your results
6What are the key steps in problem presentation?
- 1. Problem statement
- 2. Diagram or sketch of problem
- 3. Theory or principle that is applicable
- 4. List necessary assumptions
- 5. Solution steps
- 6. Identify results Verify/Check them
7Learning to Present Effectively
- Nine helpful guidelines
- Using ruled (engineering) paper
- Complete headings (name, course, p , problem
set) - Work in pencil (HB, F or H)
- Good, legible lettering style
- Correct spelling
- Set up work as easy to follow
- Separate problems clearly
- Clear and understandable sketches/diagrams
- Properly use symbols and notation
8Chapter 4 - Graphical Representation of Technical
Data
9Graphing Data
- A graph of data usually gives more information
than tables of numbers - Graphs for oral presentation will usually look
different that those for written reports - There are several methods for generating graphs
from data. - Spreadsheet (e.g., Excel)
- Computational software (e.g., Matlab,
Mathematica, MathCAD) - By hand (not suitable for presentation!)
10Graphing Data
- Types of graphs.
- Professional looking graphs.
- Axes
- Smooth curves.
11Types of Graphs
12Types of Graphs
- XY (scatter) is widely used in Engineering.
- Bar, Column, Pie are more often used in Business,
but some Engineering data is best presented using
these types, e.g., Gantt chart. - Presenting complex data is challenging and may
require you to be creative in graphing it.
13Professional Looking GraphsWhats wrong with
this graph?
14Professional Looking Graphs
- Lettering sizes are inconsistent.
- Ordinate label is better written as
- electron temperature (keV)
- Abscissa should be fully indentified.
- 10-2 cm or 16 x 10-2.
- Data symbols are too small and there is a
duplication. Should be as large as superscripts. - Ordinate axis is too long.
- Graph should be fully enclosed with tick marks.
15Professional Looking Graphs
When the previous graph is reduced in size to fit
into a paper, it is difficult to read.
16Professional Looking Graphs
17Professional Looking Graphs
18Axes
- The choice of axes can affect how the data is
perceived. - Proper selection of axes can assist in
determining an appropriate analytical solution
for the data. - Proper selection of axes can also assist in
creating smooth curves. - Log axes allow large ranges to be covered.
19Axeslinear-linear
20Axeslinear-linear
For the graph on the previous slide, we have
21Axessemilog log y, linear x
22Where does the log axis come from?
102 100 101.9 79.4 101.8 63.1 101.7
50.1 101.6 39.8 101.5 31.6 101.4 25.1 101.3
20.0 101.2 15.8 101.1 12.6 101 10
2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1.0
23Why use a log axis?
24Axessemilog
25Axessemilog
4 3 2 1 0
log (sample Y data)
26Axessemilog
Find a and c for the semilog graph shown.
27Axessemilog
The semilog plot works with any base logarithm,
not only base 10. In particular, it works with
the natural logarithm. This is because of the
following property of logarithms
28Axeslog-log log x, log y
29Axeslog-log
A straight line on a log-log plot can be
represented as follows
A straight line on a log-log plot is represented
by a power equation. Note, this also applies to a
ln-ln plot.
30Axeslog-log
31Axeslog-log
Find the equation of the line for the log-log
plot shown below.
32Smooth Curves
- Experimental data rarely follows theory exactly
because of a variety of measurement errors. - It is often desirable to fit the experimental
data to a smooth curve. - Several methods of curve fitting
- method of selected points
- method of averages
- method of least squares.
- Method of Least Squares is the most accurate and
was covered when we did statistics.
33Smooth Curves
- Method of Selected Points Assuming the data set
is linear, a straight line is drawn that appears
to fit the data the best, going through as many
observed data points as possible and
approximately the same number of data points on
each side of the line. Two points exactly on the
line are used to determine the equation of the
line. - Method of Averages A line is drawn to make the
algebraic sum of the difference between observed
data points and calculated points on the ordinate
equal zero.
34HW Assignment 7
- Due Monday, 4 December, 9.25 AM at Lecture
- Intro. To Engineering Design and Problem
Solving, pp. 139-141 - 3.9, 3.12, 3.19
- Intro. To Engineering Design and Problem
Solving, pp. 175-122 - 4.4, 4.11 (in Excel or on graph paper)