Thermal Fluid Systems II Lab

Course Description

Thermal Fluid Systems II Lab comprises laboratory experiments related to thermodynamics, fluid mechanics, and heat transfer, covering thermal systems measurement devices, performance characteristics, and design of engineering experiments. An equipment fee is assessed.

Within the SCNS taxonomy, EML is the Mechanical Engineering prefix and the L suffix marks a laboratory-only course. The University of West Florida publishes this at 1 semester hour, prerequisite EML3016, giving approximately 45 contact hours — the value carried by comparable 1-credit science and engineering laboratories in this repository.

The phrase worth noticing is "design of engineering experiments." This is not a course of prescribed procedures with known answers — or it should not be. Deciding what to measure, how precisely, and how to know whether the result means anything is a distinct engineering competency, and it is one that analytical courses never teach.

Learning Outcomes

Required Outcomes

• Apply laboratory safety practice appropriate to pressurized, heated, and rotating equipment.
• Describe the operating principle of common thermal and fluid measurement devices.
• Measure temperature using thermocouples, RTDs, and thermistors and describe their trade-offs.
• Measure pressure using manometers and transducers and distinguish gauge from absolute.
• Measure flow rate using orifice plates, venturis, rotameters, and other devices.
• Measure velocity using pitot-static tubes and hot-wire anemometry.
• Calibrate instrumentation and describe why calibration matters.
• Use data acquisition systems and describe sampling considerations.
• Design an experiment to answer a defined engineering question.
• Select measurement ranges and instruments appropriate to the required precision.
• Quantify measurement uncertainty and propagate it through calculated results.
• Distinguish accuracy, precision, resolution, and repeatability.
• Determine head loss experimentally and compare it to Moody chart predictions.
• Determine pump or fan performance characteristics and construct a performance curve.
• Determine heat exchanger performance and compare it to LMTD or effectiveness-NTU analysis.
• Determine convection coefficients experimentally.
• Verify thermodynamic relationships experimentally.
• Analyze and present data graphically with correct axes, units, and uncertainty.
• Compare experimental results to analytical predictions and account for discrepancies.
• Identify sources of systematic and random error in a measurement.
• Maintain a laboratory notebook to professional standard.
• Write formal engineering laboratory reports.
• Work effectively in a laboratory team.

Optional Outcomes

• Use flow visualization techniques.
• Use infrared thermography.
• Apply design of experiments methods and factorial designs.
• Compare experimental results to computational predictions.
• Describe standards governing thermal and fluid testing.
• Present results orally to a technical audience.

Major Topics

Required Topics

• Laboratory safety for thermal and fluid equipment
• Measurement device principles
• Temperature measurement
• Pressure measurement
• Flow measurement
• Velocity measurement
• Calibration
• Data acquisition and sampling
• Experiment design
• Instrument and range selection
• Uncertainty quantification and propagation
• Accuracy, precision, resolution, repeatability
• Head loss experiments
• Pump and fan performance curves
• Heat exchanger performance
• Convection coefficient determination
• Thermodynamic verification experiments
• Data presentation and graphing
• Experiment versus analysis
• Error sources
• Laboratory notebooks
• Formal report writing
• Teamwork

Optional Topics

• Flow visualization
• Infrared thermography
• Design of experiments
• Experimental versus computational comparison
• Testing standards
• Oral presentation

Resources & Tools

• Theory and Design for Mechanical Measurements (Figliola & Beasley) — the reference for this course; excellent on uncertainty analysis specifically.
• Experimental Methods for Engineers (Holman) — the other standard.
• Fundamentals of Heat and Mass Transfer (Incropera) and Fluid Mechanics (White or Çengel) — carried forward for the analysis the experiments verify.
• NIST/SEMATECH e-Handbook of Statistical Methods — free and authoritative on measurement statistics and uncertainty.
• NIST guidance on measurement uncertainty — free; the formal framework the field uses.
• LabVIEW, MATLAB, or Python — for data acquisition and analysis; Python with NumPy, SciPy, and Matplotlib is free and entirely adequate.
• CoolProp — free property library for reducing thermal data.
• Manufacturer datasheets for the laboratory's instruments — free, and the operative source for accuracy specifications you must cite in a report.
• A bound laboratory notebook — kept in ink, dated, with mistakes struck through rather than erased. It is a professional habit and in industry it is sometimes a legal record.
• Your institution's report template and rubric — read them before writing, not after.

Career Pathways

• Test engineer — the role this course prepares for most directly; aerospace, automotive, HVAC, and energy all employ them.
• Thermal engineer — SOC 17-2141.
• HVAC engineer and commissioning agent — commissioning is measurement, and it is a substantial Florida sector.
• Energy auditor and efficiency engineer — measuring real performance against design.
• Instrumentation and controls engineer.
• Quality and metrology engineer — uncertainty is the core competency.
• Power plant performance engineer — heat rate testing is exactly this work.
• R&D engineer — research is largely measurement, and this course is unusually good preparation for graduate study.
• Applications engineer for pump, fan, and heat exchanger manufacturers.
• Graduate study in thermal sciences or experimental mechanics.

Special Information

⚠⚠ Uncertainty is part of the result, not an admission of failure

• A measurement without an uncertainty is not a measurement. This is the central idea of the course and it changes how you read every number afterwards.
• Systematic and random error need different treatments. Repetition reduces random error and does nothing at all for systematic error — averaging a biased reading a thousand times gives a very precise wrong answer.
• Propagate uncertainty through the calculation. The propagation formula tells you which measurement to improve, and usually only one dominates — that is the practically useful output.
• Instrument accuracy comes from the datasheet, not from the number of digits displayed. A four-digit readout on an instrument accurate to ±2% is displaying noise.
• Report significant figures honestly. A calculator producing eight digits from a measurement good to three is not producing information.
• Calibrate and record it. An uncalibrated instrument produces confident numbers with unknown bias.
• "Human error" is not an error source. Name the actual mechanism — parallax, heat loss to ambient, a leaking fitting, insufficient settling time, an unaccounted-for elevation change — and quantify it if you can.
• Data that matches theory perfectly is usually data that was not taken honestly. Discrepancies are the interesting part, and explaining them is what the report is graded on.

⚠ Thermal and fluid laboratories have real hazards

• Pressurized systems store energy, and a failed fitting or hose releases it violently. Never exceed rated pressures, inspect connections, and stand clear during pressurization.
• Steam and hot surfaces cause severe burns, and steam burns worse than boiling water. Assume every surface near a heater or a boiler is hot.
• Rotating machinery — pumps, fans, and turbines — will catch loose clothing, hair, and jewellery. Guards stay on.
• Compressed gas cylinders must be secured, capped when moved, and kept from heat.
• Electrical hazards near water are the recurring risk in fluid laboratories; keep equipment dry and know where the disconnect is.
• Know where the emergency stop, the eyewash, and the extinguisher are before you need them.
• Do not run equipment you have not been checked out on, and never leave a running rig unattended.
• Report damage and near misses. A laboratory where problems are concealed is a laboratory where someone eventually gets hurt.

⚠ The report is the deliverable — write it as an engineer, not as a student

• Structure it as an argument: what question, what method, what result, what it means, and what the limitations are.
• Graph properly. Labelled axes with units, sensible scales, uncertainty bars where meaningful, and no truncation that exaggerates a trend.
• Compare quantitatively to theory — a percentage difference with a stated uncertainty, not "the results were close to expected."
• Explain the discrepancy specifically. Generic error lists earn nothing; identifying that the measured head loss exceeded prediction because the pipe roughness was assumed rather than measured is engineering.
• Include the raw data and the reduction. A reader should be able to follow from reading to result.
• Write for someone who was not there. That is the professional test, and it is what a report is for.
• Keep it tight. Engineering reports are read by busy people; the conclusion belongs near the front.
• These reports are portfolio material for a test-engineering interview, which is a good reason to do them properly.

⚠ Institutional context — and check the number against the description

• This guide is written primarily from the University of West Florida catalog, which publishes a complete and unusually explicit set of EML entries. Other Florida institutions teaching this subject may number it differently.
• The EML prefix is not consistent across Florida. This repository has documented a genuine subject collision in the thermal-fluids sequence: EML3015 and EML3016 denote different subjects at UWF and at the FAMU-FSU College of Engineering — see the EML3015C and EML3016 guides.
• Much of the mechanical engineering core is also taught under the general engineering prefix EGN, and under SCNS those are different courses. Equivalency does not cross prefixes or a C or L suffix automatically.
• Identify a course by its catalog description, never by its number or its title.
• Give a receiving department the description rather than the course number when seeking a transfer determination, and get the answer in writing.

How Florida course levels affect transfer

The first digit of an SCNS number denotes the year of offering, not transferability. Courses at the 1000 and 2000 levels transfer transparently between Florida public institutions, and 3000 to 4000 is unproblematic since both are upper division. The boundary that actually matters is 2000 to 3000, where lower-division credit generally cannot satisfy an upper-division requirement.

EML3016L is 1 semester hour and approximately 45 contact hours — a high ratio, and correct for a laboratory meeting roughly three hours weekly — with an equipment fee assessed. Assessment is by formal laboratory reports, and the reports are where the marks are.

Under SCNS the L suffix is part of the course number, so EML3016 and EML3016L are distinct courses and a transfer bringing one does not satisfy the other.