mglauser@syr.edu

MAE 315

Additional Information

Lab 1

Solid Mechanics

Lab 2

Digital Signal Processing

Lab 3

Vibrations

Lab 4

Fluid Dynamics

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Additional Information


Instructional Notes

The information provided in this section is based on class notes compiled over the last several years. Certain items are covered by these notes in reasonable detail, however other topic are merely introduced. With this in mind, we strongly urge the students reading this document to consult the listed References before protesting the contents of this site too loudly.

  • Definitions of some of the terms that will be used throughout lecture. These are terms you will be expected to be familiar with.
  • Probability and Statistics review: Throughout the semester you will be required to assess the uncertainty in your data. To do this you will need probability and statistics.
  • Uncertainty Analysis notes: The information on this page should be supplemented with readings from an experimental methods book (See Theory and Design of Experiments by Figliola and Beasley on reserve in the Carnegie library).
  • Data Acquisition: This section covers some of the data acquisition (DAQ) issues that must be confronted when instrumenting an experiment.
  • Fourier analysis of dynamic signals: This section reviews some of the terms and basic concepts of fourier analysis that will be used in the vibrations, DSP, and turbulent flows Labs.

    References

  • Theory and Design for Mechanical Measurments, Figlioli and Beasley, Third Edition, John Wiley & Sons (any edition) (Recommended Text)
  • Mechanical Measurements, Beckwith, Marangoni, and Lienhard, Addison-Wesley, any edition
  • Experimental Methods for Engineers, J.P.Holman, McGraw-Hill, any edition
  • ASTM Metric Practice Guide
  • Mark's Standard Handbook for Mechanical Engineers, McGraw-Hill
  • Roget's Thesaurus of Words and Phrases, Grosset and Dunlap


    Course Outcomes

    ABET Student Outcomes and Associated Performance Indicators for the MAE program
  • Outcome 1: An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
    1.A Identify and select appropriate engineering principles and concepts applicable to a given situation.
    1.B Extract Pertinent information from appropriate references
    1.C Solve the problem by correctly using methods (math operations, techniques, and fundamental laws)
  • Outcome 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.
    2.A Translate design requirements into technical criteria, considering factors such as customer needs and multidisciplinary relationships.
    2.B Compare alternative design options considering factors such as performance economics, manufacturability, and safety.
  • Outcome 3: An ability to communicate effectively with a range of audiences.
    3.A Be able to present technical content accurately.
    3.B Ensure that written content is clear and concise, with appropriate style and format suitable for intended readers.
    3.C Be able to present their work orally and professionally, using diverse approaches.
  • Outcome 4: An ability to recognize the ethical and professional responsibilities in engineering situations and make informed judgements, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
    4.A Demonstrate an awareness of ethical issues arising in work places and demonstrate readiness to address them using appropriate resources.
    4.B Recognize the significance and consequences of past and present engineering solutions in global, economic, environmental, societal and historical perspectives.
  • Outcome 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.
    5.A Share responsibilities in a team’s decision making process.
    5.B Be able to adjust to different roles when working in teams (leader, writer, etc.), and learn different points of view when working in teams.
  • Outcome 6: An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgement to draw conclusions.
    6.A Demonstrate an understanding of various measurement techniques.
    6.B Ensure that a test procedure corresponds to appropriate analytical needs.
    6.C Demonstrate an ability to accurately process, interpret and statistically analyze data cognizant of assumptions and uncertainties.
  • Outcome 7: An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
    7.A Re-learn previously covered materials as necessary.
    7.B Learn new materials independently as needed.
    7.C Demonstrate an awareness of resources available for continuous learning, such as professional societies, short courses, online learning resources, and advanced degrees.

    MAE 315 Covers ABET Outcomes 1, 3, 5, 6, and 7, with measurements coming from 1 MATLAB introduction project, 4 written laboratory reports, 4 sets of calculations and 4 lab logs. The course is formatted with five laboratory experiments intended to familiarize the student with use of basic measurement devices, as well as weekly lectures will be given on experimental methods, data analysis and engineering communications.
  • Outcome 1: The student demonstrates the ability to apply the material learned in strength of materials, dynamics and Fluid Dynamics / Aerodynamics, Digital Signal Processing and Fourier Analyses as well as Vibrations in the context of the Laboratory.
  • Outcome 3: The student demonstrates an ability to communicate effectively by writing engineering lab reports that present, summarize, analyze and interpret findings in a manner consistent with engineering practice, including serious uncertainty analysis.
  • Outcome 5: The student demonstrates an ability to function on multi-disciplinary lab teams.
  • Outcome 6: The student demonstrates the ability to conduct experiments using mechatronics concepts of computer based data acquisition and digital time series analysis as well as analyze and interpret data.
  • Outcome 7: The student demonstrates an ability to review materials and learn new material as needed which may include learning to use modern tools to aid in performing experiments and analyzing and presenting such results.

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