This is an example of a formal lab report on Interference and Diffraction done for my Physics class. This document demonstrates my ability to technically report findings from experiments.
Solutions manual for fundamentals of fluid mechanics 7th edition by munsonjoyy12
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Solutions manual for fundamentals of fluid mechanics 7th edition by munsonjoyy12
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download: https://goo.gl/mxExK8
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Theory and Design for Mechanical Measurements solutions manual Figliola 4th edDiego Fung
Figliola and Beasley’s 6th edition of Theory and Design for Mechanical Measurements provides a time-tested and respected approach to the theory of engineering measurements. An emphasis on the role of statistics and uncertainty analysis in the measuring process makes this text unique. While the measurements discipline is very broad, careful selection of topical coverage, establishes the physical principles and practical techniques for quantifying many engineering variables that have multiple engineering applications.
In the sixth edition, Theory and Design for Mechanical Measurements continues to emphasize the conceptual design framework for selecting and specifying equipment, test procedures and interpreting test results. Coverage of topics, applications and devices has been updated—including information on data acquisition hardware and communication protocols, infrared imaging, and microphones. New examples that illustrate either case studies or interesting vignettes related to the application of measurements in current practice are introduced.
The results of the experiments confirm that the CFD represent valid method to predict power losses. The error in the predictions for the analyzed cases is always lower than 8 % in particular the tip diameter has been changed from 96.5 to 102.5 mm while the tooth width has been changed from 20 to 40 mm.
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Theory and Design for Mechanical Measurements solutions manual Figliola 4th edDiego Fung
Figliola and Beasley’s 6th edition of Theory and Design for Mechanical Measurements provides a time-tested and respected approach to the theory of engineering measurements. An emphasis on the role of statistics and uncertainty analysis in the measuring process makes this text unique. While the measurements discipline is very broad, careful selection of topical coverage, establishes the physical principles and practical techniques for quantifying many engineering variables that have multiple engineering applications.
In the sixth edition, Theory and Design for Mechanical Measurements continues to emphasize the conceptual design framework for selecting and specifying equipment, test procedures and interpreting test results. Coverage of topics, applications and devices has been updated—including information on data acquisition hardware and communication protocols, infrared imaging, and microphones. New examples that illustrate either case studies or interesting vignettes related to the application of measurements in current practice are introduced.
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BASIC CONCEPT OF RADIATION SHIELDING AND ITS CALCULATION TECHNIQUES mahbubul hassan
Training Course on Radiation Protection for Radiation Workers
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24 - 28 October 2021
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We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
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2. Data:
Table 1: The table below shows the measured lengths of the central maximum created by single
slits of various lengths. Here, x is the measured distance between minima.
Data number width of slit (a)
(mm)
x1 (mm) x2 (mm) average x (mm)
1 0.02 62.0 .05± 0 59.9 0.05± 60.95 0.7±
2 0.04 34.0 0.03± 29.8 0.03± 31.9 1.0±
3 0.08 15.3 0.01± 15.1 0.01± 15.2 0.07±
4 0.16 7.9 0.01± 8.3 0.01± 8.1 0.1±
*Uncertainty for a is assumed to be zero because the value was provided on the slits.
*Uncertainties for x1 and x2 for Tables 1 and 2 were estimated based on the error from
measuring the distance between the minima.
Table 2: The table below shows the distances measured between the first four minima sets, x
and the average of the two recordings.
Data number x1 0.01(mm)± x2 0.01 (mm)± x average (mm)
1 2.3 2.6 2.45 0.1±
2 7.9 7.8 7.85 0.04±
3 12.2 12.6 12.4 0.1±
4 16.8 16.9 16.85 0.04±
Sample Calculation for average distance between minima, x (used for tables 1 and 2)
xave=(x1+x2)/2
8. Discussion:
Results
actual 70 0 nmλ = 6 ± 1
exp 1 00 0 nmλ = 6 ± 1
% error = 10.4 %
range = 590 610 mn mn
exp 2 20 0 nmλ = 6 ± 2
% error = 7.46 %
range= 600 640 mn mn
Conclusion:
For experiment 1, using linear regression, the experimental value of wavelength for the
laser was found to be under the actual, not even falling in the range. Most of the error occurred
while measuring the x distance between minima. Between reading mm on a ruler and measuring
the distance of light propagated most of the error. The smaller slit distance, a, was harder to
measure creating a larger estimated error.
For experiment 2, the wavelength was found using averages, but again the experimental
wavelength range was under the actual wavelength of the laser. For similar reasons as
experiment 1, the distance of x was difficult to measure leading to human error.
10. ƛ= 650 nm, a=0.04 mm, d= 0.25 mm
Solution:
sinθ mλ d =
First, solve for theta.
rcsin(λm/d)θ = a
rcsin((650 0 m)/(.25 0 ))θ = a × 1 −9
× 1 −3
Now plug the above expression into the equation.β
d sinθ/λ β = π
(.25 0 )(650 0 )((m 650 0 ))/(.25 0 ))β = π × 1 −3
× 1 −9
× ( × 1 −9
× 1 −3
The .25*103
and 650*109
terms cancel which leaves
mβ = π
Now solve for alpha using the known numbers given in the problem in the following equation.
a sinθ /λ α = π
(.04 0 )(650 0 )m/(.25 0 )(650 0 )α = π × 1 −3
× 1 −9
× 1 −3
× 1 −9
(.04 0 )m/(.25 0 ) 16πmα = π × 1 −3
× 1 −3
= .
Finally, plug the derived expressions for alpha and beta into the intensity equation.
m(cosβ) (sinα/α)I = I 2 2
m(cos (πm))(sin(.16πm)/.16πm)I = I 2 2
The cos2
( ) term goes to 1 for all values of m, which leaves.mπ
m(sin(.16πm)/(.16πm))I = I 2