Free Ebook cover Thermodynamics for Makers: Heat, Work, and Efficiency in Real Machines

Thermodynamics for Makers: Heat, Work, and Efficiency in Real Machines

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Zeroth Law and Practical Temperature Measurement

Capítulo 2

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Why the Zeroth Law Matters in the Workshop

When you build or modify machines—3D printers, espresso machines, kilns, engine test stands, battery packs, fermentation chambers—you constantly make decisions based on temperature readings. You might tune a PID controller, choose insulation thickness, set a reflow profile, or decide whether a bearing is overheating. The Zeroth Law is the quiet rule that makes those readings meaningful and transferable between tools. It is the reason you can trust that a thermocouple, an IR thermometer, and a reference probe can be compared and calibrated in a consistent way.

In maker terms: the Zeroth Law is what allows “temperature” to behave like a property you can measure, compare, and standardize. Without it, you could still feel “hotter” and “colder,” but you could not build a reliable thermometer, you could not calibrate sensors against each other, and you could not maintain repeatable processes across different machines.

The Zeroth Law: The Core Idea

The Zeroth Law of Thermodynamics can be stated as: if system A is in thermal equilibrium with system C, and system B is in thermal equilibrium with system C, then system A is in thermal equilibrium with system B.

Thermal equilibrium here means that when two systems are placed in thermal contact (able to exchange heat) and isolated from other influences, there is no net heat flow between them once equilibrium is reached. Practically, you observe this as “their temperatures become equal,” but the Zeroth Law is deeper: it guarantees that “being in thermal equilibrium” is an equivalence relation. That lets us assign a single number (temperature) to each equilibrium state so that equality of that number corresponds to equilibrium.

Why this enables thermometers

A thermometer is simply a system C with a measurable property that changes in a repeatable way when it comes to equilibrium with another system. The Zeroth Law ensures that if your thermometer reads the same value when touching object A and object B (after reaching equilibrium), then A and B are in equilibrium with each other. This is what makes temperature measurement transferable: you can carry the thermometer from one object to another and compare them through the thermometer without directly contacting the objects together.

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What the Zeroth Law does not say

  • It does not tell you how fast equilibrium is reached. Time constants and thermal resistances determine that.
  • It does not guarantee your measurement is accurate; it only guarantees that a consistent temperature scale can exist if your thermometer is well-behaved.
  • It does not remove measurement errors due to gradients, contact resistance, radiation, airflow, or sensor self-heating.

Thermal Equilibrium in Real Builds: Local vs Global

In real devices, “the temperature” is often not uniform. A heater block can have a gradient from cartridge to nozzle tip; a motor winding can be much hotter than the case; a battery cell core can be hotter than its surface. The Zeroth Law still applies, but you must be careful about what system you are bringing into equilibrium with what.

Local equilibrium and what your sensor actually measures

Most sensors measure their own temperature after they have exchanged heat with their surroundings. If the surroundings have gradients, the sensor reaches an equilibrium that depends on where it is, how it is mounted, and what heat paths dominate (conduction through mounting, convection to air, radiation to nearby surfaces). In practice, you are measuring a local temperature influenced by the sensor installation.

For makers, the key habit is to define the measurement point: “nozzle temperature at the thermistor pocket,” “heatsink base temperature under fan airflow,” “fermentation air temperature at mid-height,” “bearing outer race temperature.” Then make your process repeatable by keeping sensor placement and mounting consistent.

Practical Temperature Measurement: A Maker’s Sensor Toolkit

Contact sensors (in contact with the object)

  • Thermistors (NTC/PTC): Common in 3D printers and appliances. High sensitivity over a limited range, nonlinear, needs calibration or a good curve. Small and cheap, but mounting matters a lot.

  • RTDs (e.g., Pt100/Pt1000): More linear and stable, good for precision. Requires careful wiring and measurement (often 3-wire or 4-wire) to reduce lead resistance errors.

  • Thermocouples (K, J, etc.): Wide range, robust, fast. Needs cold-junction compensation and decent instrumentation. Susceptible to noise and grounding issues.

Non-contact sensors (measure radiation)

  • IR thermometers / thermal cameras: Great for scanning surfaces and finding hot spots. Accuracy depends heavily on emissivity, reflections, and the field of view. They measure surface radiance, not internal temperature.

Step-by-Step: Using the Zeroth Law to Calibrate and Compare Sensors

Calibration is the practical expression of the Zeroth Law: you bring your sensor and a reference into equilibrium with the same environment, then adjust your interpretation so equal equilibrium states give equal readings.

Step-by-step: Two-point check with accessible fixed points

This procedure is useful for thermistors, RTDs, and thermocouples (with the right meter). It is not a full metrology calibration, but it dramatically improves trustworthiness for maker projects.

  • 1) Gather equipment: your sensor + readout (controller, meter, ADC), a reference thermometer you trust more (even a decent kitchen probe can help), crushed ice, clean water, a pot, a way to stir, and insulation (foam cup or small cooler). If you can, use distilled water and a deep container.

  • 2) Prepare an ice-water bath (near 0 °C): Fill a container with crushed ice, add just enough water to fill gaps, and stir. The goal is a slushy mixture with excess ice present. Excess ice helps clamp the temperature near the melting point. Let it sit a minute and stir again.

  • 3) Insert sensors correctly: Place both the device sensor and the reference probe into the slush. Keep them away from container walls and bottom. Ensure the sensing tips are submerged and close to each other without touching. Stir gently to reduce gradients.

  • 4) Wait for equilibrium: Watch readings until they stabilize. This is where the Zeroth Law is being used: both sensors are in equilibrium with the same bath, so they should agree if both are accurate.

  • 5) Record the offset: Note the readings. If your system supports it, store an offset (or adjust the calibration curve). If it does not, write down the correction you must apply.

  • 6) Prepare a boiling-water point (near 100 °C): Bring water to a rolling boil. The boiling point depends on atmospheric pressure and altitude, so do not assume exactly 100 °C unless you correct for it. Keep the sensor tips in the boiling water, not touching the pot, and avoid steam-only exposure (steam can be cooler if it mixes with air).

  • 7) Stabilize and record: Stir carefully (avoid splashing). Wait for stable readings and record again.

  • 8) Apply a two-point correction: If your sensor system allows slope and offset adjustment, use both points. If only an offset is possible, choose the point closest to your operating range. For example, for a 3D printer hotend at 240 °C, a boiling-water point is closer than an ice bath, but still far; you may need a higher-temperature reference method.

For thermistors, a two-point check can reveal whether the installed thermistor curve (Beta value or Steinhart–Hart coefficients) matches your actual part. For thermocouples, it can reveal cold-junction compensation errors or wiring issues.

Altitude correction for boiling point (practical approximation)

If you want better than “ballpark,” correct the boiling point. A simple approximation is that boiling point drops about 1 °C for every 285 m of elevation gain (about 1 °F per 500 ft). This is not perfect, but it is often good enough to reduce systematic error in maker calibration.

Approx boiling point (°C) ≈ 100 - (elevation_m / 285)

Step-by-Step: Getting Reliable Contact Measurements (Mounting and Technique)

Most temperature measurement problems in builds are not sensor physics—they are installation and heat-path problems. The sensor reaches equilibrium with a combination of the target and everything else thermally connected to it.

Step-by-step: Measuring a metal surface with a probe

  • 1) Clean the spot: Oil, dust, and oxide layers change contact and can insulate the probe tip.

  • 2) Improve thermal contact: Use a thin smear of thermal paste (if appropriate) or a small piece of thin aluminum tape over the probe tip to press it flat. For temporary measurements, high-temperature Kapton tape can work on hot surfaces.

  • 3) Reduce heat loss from the probe: If the probe is exposed to airflow, it can read low because it is cooled by convection. Shield it with a small piece of insulation over the back side of the probe (not between probe and surface).

  • 4) Wait for stabilization: The probe has a time constant. Watch the reading approach a steady value. If you need faster response, use a smaller sensor or thinner probe tip.

  • 5) Validate with a second method: If possible, compare to an IR reading (with emissivity handled) or another contact sensor. Agreement increases confidence; disagreement tells you to investigate mounting or emissivity.

Common contact measurement pitfalls

  • Measuring “air temperature” with a sensor attached to a wall: The sensor reads a mix of air temperature and wall temperature due to conduction through the mount.

  • Thermocouple junction not where you think: Some probes have the junction recessed; response and reading can differ from expectations.

  • Lead-wire heat sinking: Thin sensors attached to thick wires can have their temperature pulled toward the wire temperature, especially in gradients.

Step-by-Step: Using IR Thermometers and Thermal Cameras Correctly

IR tools are powerful for makers because they reveal patterns: hot MOSFETs, uneven bed heating, poor insulation, thermal bridges, and airflow issues. But the Zeroth Law does not directly rescue you here, because IR devices do not come into thermal equilibrium with the object; they infer temperature from radiation.

Key concept: emissivity and reflected temperature

IR devices assume an emissivity value (how effectively a surface emits thermal radiation). Matte black surfaces have high emissivity; shiny metals are low and reflective. A shiny aluminum block can reflect the temperature of surrounding objects (including you), causing large errors.

Step-by-step: Making an IR measurement on shiny metal

  • 1) Create a high-emissivity patch: Put a small piece of matte black electrical tape or a dab of matte black high-temp paint on the spot. Let it reach the same temperature as the metal (wait a bit).

  • 2) Set emissivity: If your IR tool allows it, set emissivity to match the tape/paint (often around 0.95 for good tape). If it does not, the patch still helps because the device’s default is usually tuned for high-emissivity surfaces.

  • 3) Fill the field of view: Ensure the patch is larger than the measurement spot size at your distance. If the spot includes background, your reading becomes an average.

  • 4) Avoid reflections: Change angle slightly and watch if the reading changes. Big changes indicate reflection contamination.

  • 5) Cross-check with contact: For critical work, verify with a contact probe on the same patch. This ties the IR reading back to equilibrium-based measurement.

Thermal Time Constants: Knowing When a Reading Is “Done”

The Zeroth Law tells you what happens at equilibrium; your build tells you how long it takes to get there. Every sensor installation has a thermal time constant influenced by sensor mass, contact quality, and heat transfer coefficients. If you read too early, you measure a transient, not the target’s steady condition.

Practical method: estimate response time in place

  • 1) Apply a step change: Move the sensor from room air to a stable bath (ice water) or from ambient to a warm surface with stable temperature.

  • 2) Record the time to reach ~63%: For a first-order response, the time to reach 63% of the final change is one time constant. Many practical setups behave roughly like this.

  • 3) Use 3–5 time constants: Waiting 3 time constants gets you close; 5 gets you very close. This prevents “chasing noise” with control tuning based on premature readings.

Comparing Sensors in a Real Device: A Repeatable Workflow

Makers often have multiple sensors: a controller thermistor, a safety cutoff thermostat, a handheld probe, and maybe an IR camera. You want them to agree enough that decisions are consistent.

Step-by-step: Sensor agreement check on a heated block

  • 1) Choose a stable operating point: For example, set a heater block to a steady setpoint and wait for it to settle.

  • 2) Define the measurement location: Mark a spot on the block. If using IR, add a tape patch there.

  • 3) Place the contact reference: Attach a probe firmly to the marked spot with tape and insulation over the probe.

  • 4) Record all readings simultaneously: Controller reading, reference probe, IR patch reading. Note airflow conditions (fan on/off) because it changes surface temperature and gradients.

  • 5) Interpret differences: If the controller sensor is embedded while the reference is on the surface, expect a difference due to gradients. The goal is not perfect equality; it is understanding the mapping between “controller temperature” and “surface temperature” for your process.

Common Maker Scenarios Where the Zeroth Law Guides Good Practice

3D printer hotend and heated bed

The controller’s thermistor is often embedded in a hole with set screw or cement. The nozzle tip can be cooler than the block due to heat loss to filament and air. Use the Zeroth Law mindset: you are measuring the thermistor’s equilibrium with its pocket, not the nozzle tip. If you change the thermistor mounting (paste vs dry, screw tightness, cartridge position), you changed the equilibrium conditions and therefore the mapping from reading to actual nozzle temperature.

Electronics: MOSFETs, regulators, and motor drivers

Case temperature is not junction temperature. A sensor on the heatsink reaches equilibrium with the heatsink, which is connected to the device through thermal resistance. You can still use equilibrium comparisons to detect changes: if the same load now produces a higher heatsink temperature, something changed (fan, paste, mounting pressure, ambient conditions).

Food and fermentation builds

Air temperature sensors can be biased by radiant heating from walls or by being too close to a heater. A sensor in a well-mixed location (with gentle airflow) better represents the bulk air. If you tape a sensor to a jar, you are measuring jar surface temperature, which may lag the liquid inside.

Practical Checklist: Making Temperature Measurements You Can Trust

  • Define the measurand: What exactly are you trying to know—surface, internal, air, coolant, case?

  • Ensure a controlled heat path: Good contact to the target, minimized unwanted conduction to mounts, reduced airflow artifacts.

  • Wait for equilibrium (or model the transient): Know your sensor time constant in the installed configuration.

  • Use a reference and compare: Bring both into equilibrium with the same environment when possible (ice bath, stirred water bath, stable block).

  • Document placement and method: Photos, notes, tape type, paste type, torque, airflow state. Repeatability is often more valuable than absolute accuracy.

  • Be cautious with IR on shiny surfaces: Use emissivity patches and cross-check with contact measurements.

Now answer the exercise about the content:

When comparing two temperature sensors using the same stirred ice-water bath, what is the main reason this comparison is meaningful?

You are right! Congratulations, now go to the next page

You missed! Try again.

Thermal equilibrium with the same environment means both sensors should settle to the same temperature state, so their readings can be compared or used to compute an offset. The method does not guarantee perfect accuracy or instant stabilization.

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Heat and Work as Energy Transfer: Sign Conventions and Boundaries

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