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ME
373
Mechanical** **Engineering Fundamentals Laboratory
Training on the use of computer in preparation of reports and graphs. Theory and Practice of Measurement and Experimental Data Collection. Laboratory Evaluation and Demonstration of Components of the Generalized Measurement Systems and their Effects on the Final Results. Applications of Basic Methods of Data Analysis as well as Basic Instrumentation for Sensing, Conditioning and Displaying Experimental Measurements. Basic Measurements of Physical and Mechanical Properties and Basic Experiments on Motion and on Material Testing.
Prerequisites:
0600204,0600304,9988221
0630373
(0-3-1)

Text Book:

Elkholy, Ahmed H. and Majeed, Majed A., "Mechanical Engineering Fundamentals Lab", 2017.

Reference:

  • Experimental Methods for Engineers, J.P. Holman, 8th Edition, McGraw-Hill, New York, 2011.

Coordinator:

Solid Mechanics and Design (SMD) TAG

Prerequisites by Topics:

  1. Statistical Methods for Engineers.
  2. Elementary knowledge of a computer for data processing and problem solving.
  3. Knowledge of the energy, momentum, and continuity equations.

Course Learning Objectives[^1]:

  1. To learn the logical steps in experimentation: conceptualization, execution, data acquisition, analysis, interpretation, conclusion, and reporting; and the ability to work in teams (3,5,6).
  2. To be able to use accuracy, sensitivity, error and uncertainty in experimental measurements (1,6).
  3. To apply/compare concepts of science and engineering to experimental measurements of different physical phenomena in Applied Mechanics (1,6).

Topics:

  1. Uncertainty analysis and report writing
  2. Use of computers in preparation of reports, plots and graphs.
  3. Harmonic and Reciprocating motion.
  4. Viscosity, Thin cylinder, Spring-Mass System, Simple Beam.
  5. Bifilar and Trifilar Suspensions (moment of inertia).
  6. Friction Coefficient measurements
  7. Pressure and viscosity measurements.

Suggested Evaluation Methods:

  1. Quizzes
  2. Lab reports (Formal and Informal)
  3. Laboratory participation.
  4. Peer evaluation
  5. Term Exam.

Course Learning Outcomes

Upon completion of this course:

Objective 1

  1. Students will demonstrate proficiency in performing experiments, and in data acquisition by working in teams
  2. Students will be able to communicate their findings through laboratory reports using a standard format, and computer software.

Objective 2

  1. Students will demonstrate an awareness of accuracy, sensitivity, error, and uncertainty in data measurements.
  2. Students will apply propagation of error and uncertainty in their calculations and data analysis.

Objective 3

  1. Students will be able to recall basic concepts of science and engineering as needed in the various experiments
  2. Students will be able to compare their experimental findings to known theoretical values and trends.

Course Classification

Student Outcomes Level Relevant Activities
1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. H Theoretical background calculations, linear regression and uncertainty analysis to test/validate experimental results.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
3. An ability to communicate effectively with a range of audiences. H Laboratory reports with graph and word processing software.
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. L Conduct experiments as a team.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. H Use laboratory equipment to collect experimental data, compare results with theory, and draw conclusions about physical phenomena.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.