Medication dosages, IV drip rates, vital monitoring
When you take a hot cup of coffee and set it on a table, it cools down. But it does not cool at a constant rate β it cools faster at first (when the temperature difference from the room is large) and slower later (when it is closer to room temperature). This behavior is captured precisely by Newtonβs Law of Cooling, one of the most elegant applications of exponential functions.
The Model
Newtonβs Law of Cooling states that the temperature of an object changes at a rate proportional to the difference between its temperature and the surrounding (ambient) temperature. The resulting formula is:
T(t)=Tsβ+(T0ββTsβ)eβkt
where:
T(t) = temperature of the object at time t
Tsβ = surrounding (ambient) temperature
T0β = initial temperature of the object (at t=0)
k = cooling constant (k>0)
t = time
Understanding the Formula
At t=0: T(0)=Tsβ+(T0ββTsβ)e0=Tsβ+T0ββTsβ=T0β β the initial temperature.
As tββ: eβktβ0, so TβTsβ β the object approaches room temperature.
The term (T0ββTsβ)eβkt represents the temperature excess (or deficit) above (or below) the ambient temperature, and it decays exponentially.
Cooling: When T0β>Tsβ (object hotter than surroundings), the temperature decreases toward Tsβ.
Warming: When T0β<Tsβ (object cooler than surroundings), the formula still works β the temperature increases toward Tsβ. For example, a cold drink warming up in a hot room.
Finding the Cooling Constant k
The constant k depends on the physical properties of the object and its environment (material, surface area, air circulation). You find k from a data point: if you know the temperature at some specific time, you can solve for k.
Example 1: A cup of coffee is brewed at 200 degrees F and placed in a 72-degree room. After 5 minutes, the coffee is 180 degrees. Find k and the complete model.
Given:T0β=200, Tsβ=72, T(5)=180.
Setup:
180=72+(200β72)eβ5k
180=72+128eβ5k
108=128eβ5k
eβ5k=128108β=0.84375
β5k=ln(0.84375)=β0.16990
k=0.03398
Model:T(t)=72+128eβ0.03398t
Verification:T(5)=72+128eβ0.170=72+128Γ0.8438=72+108=180 degrees F. Confirmed.
Solving for Time
Once you have the model, you can solve for when the object reaches a specific temperature.
Example 2 (Continuing from Example 1): When will the coffee cool to 120 degrees?
120=72+128eβ0.03398t
48=128eβ0.03398t
eβ0.03398t=0.375
β0.03398t=ln(0.375)=β0.9808
t=0.033980.9808β=28.9Β minutes
The coffee reaches 120 degrees after about 29 minutes.
Example 3: When will it be within 1 degree of room temperature (73 degrees)?
73=72+128eβ0.03398t
1=128eβ0.03398t
eβ0.03398t=1281β=0.007813
β0.03398t=ln(0.007813)=β4.852
t=0.033984.852β=142.8Β minutes
It takes nearly 2.5 hours to get within 1 degree of room temperature. The last few degrees take a very long time β the exponential tail.
Application: Forensic Time of Death
Forensic investigators use Newtonβs Law of Cooling to estimate the time of death. Normal body temperature is 98.6 degrees F. After death, the body cools toward the ambient temperature.
Example 4: A body is found at 8:00 PM in a 65-degree room with a temperature of 82 degrees. One hour later, the temperature is 78.5 degrees. Estimate the time of death.
Step 1 β Find k: Let t=0 be 8:00 PM, so T(0)=82 and Tsβ=65.
78.5=65+(82β65)eβk
13.5=17eβk
eβk=1713.5β=0.7941
k=βln(0.7941)=0.2305
Step 2 β Find when the body was 98.6 degrees: Now we work backward from the time the body was found. We need the model starting from death, but since we defined t=0 at 8:00 PM with temperature 82, we need to find when (before 8:00 PM) the temperature was 98.6.
Reset: let T0β=98.6 (at death), Tsβ=65. The model from the time of death is:
T(Ο)=65+33.6eβ0.2305Ο
At 8:00 PM (Ο hours after death), T=82:
82=65+33.6eβ0.2305Ο
17=33.6eβ0.2305Ο
eβ0.2305Ο=0.5060
β0.2305Ο=ln(0.5060)=β0.6812
Ο=2.96Β hours
The person died approximately 3 hours before 8:00 PM β around 5:00 PM.
Application: Cooking (Warming Model)
Newtonβs Law also models warming. When you put a cold item in a hot environment, the temperature rises toward the ambient temperature.
Example 5: A frozen turkey at 25 degrees F is placed in a 325-degree oven. After 1 hour it is 75 degrees. When will it reach 165 degrees (safe internal temperature)?
Given:T0β=25, Tsβ=325, T(1)=75.
Note: T0β<Tsβ, so (T0ββTsβ)=25β325=β300. The model is:
T(t)=325β300eβkt
Find k:
75=325β300eβk
β250=β300eβk
eβk=300250β=0.8333
k=βln(0.8333)=0.1823
Find t for T=165:
165=325β300eβ0.1823t
β160=β300eβ0.1823t
eβ0.1823t=300160β=0.5333
β0.1823t=ln(0.5333)=β0.6286
t=0.18230.6286β=3.45Β hours
The turkey reaches 165 degrees after about 3 hours and 27 minutes.
Note: Real cooking is more complex β ovens have radiation and convection effects that Newtonβs Law simplifies. But the model gives a useful first approximation.
Application: HVAC Engineering
HVAC engineers use Newtonβs Law of Cooling to estimate how quickly a building heats or cools after the thermostat is adjusted.
Example 6: An office building is at 68 degrees F when the heating system fails at midnight. The outside temperature is 20 degrees F. The cooling constant for the building is k=0.04 per hour. When will the interior reach 55 degrees?
T(t)=20+(68β20)eβ0.04t=20+48eβ0.04t
55=20+48eβ0.04t
35=48eβ0.04t
eβ0.04t=0.7292
β0.04t=ln(0.7292)=β0.3158
t=7.9Β hours
The building reaches 55 degrees around 7:54 AM β before workers typically arrive. The HVAC engineer can use this to plan backup heating or insulation improvements.
Nursing Application: IV Fluid Temperature
In nursing, intravenous fluids sometimes need to reach body temperature before administration. If an IV bag is removed from a 40-degree F refrigerator and placed in a 72-degree room, Newtonβs Law models the warming:
T(t)=72+(40β72)eβkt=72β32eβkt
With a typical kβ0.1 per minute for a standard IV bag, the fluid reaches 65 degrees in:
65=72β32eβ0.1tβΉ7=32eβ0.1tβΉt=0.1βln(7/32)β=0.11.520β=15.2Β min
Limitations of the Model
Newtonβs Law of Cooling assumes:
The ambient temperature is constant (if the room heats up from the hot object, the model breaks down)
The object has uniform temperature (no hot spots or cold core)
Heat transfer is primarily by convection (the model is less accurate for radiation-dominated scenarios)
The temperature difference is not extreme (the law is an approximation that works well for moderate temperature ranges)
For precision applications, more sophisticated models (like lumped capacitance or finite element analysis) are used. But for everyday problems β coffee cooling, time of death, building heat loss β Newtonβs Law is remarkably accurate.
Practice Problems
Test your understanding with these problems. Click to reveal each answer.
Problem 1: A pot of soup cools from 212 degrees F to 190 degrees in 10 minutes in a 70-degree kitchen. Find k and determine when the soup reaches 140 degrees.
Answer: Death occurred about 2 hours before 10 AM, around 8:00 AM.
Problem 4: An HVAC system can maintain k=0.02 per hour for a well-insulated building. If the inside is 72 degrees and the outside drops to 10 degrees, how long until the interior reaches 60 degrees (if the heating fails)?
60=10+62eβ0.02t
50=62eβ0.02t
eβ0.02t=0.8065
t=0.02βln(0.8065)β=0.020.2151β=10.75Β hours
Answer: About 10 hours and 45 minutes until the building drops to 60 degrees. The good insulation (small k) buys time.
Problem 5: Two cups of coffee start at 200 degrees F in a 70-degree room. Cup A (ceramic) has k=0.03 and Cup B (insulated mug) has k=0.01. After 30 minutes, what are their temperatures?
Cup A: T(30)=70+130eβ0.03Γ30=70+130eβ0.9=70+130Γ0.4066=70+52.9=122.9 degrees
Cup B: T(30)=70+130eβ0.01Γ30=70+130eβ0.3=70+130Γ0.7408=70+96.3=166.3 degrees
Answer: After 30 minutes, the ceramic cup is about 123 degrees and the insulated mug is about 166 degrees β a 43-degree difference. Insulation matters.
Key Takeaways
Newtonβs Law of Cooling: T(t)=Tsβ+(T0ββTsβ)eβkt β temperature approaches ambient exponentially
The formula works for both cooling (T0β>Tsβ) and warming (T0β<Tsβ)
The constant k is found from a known temperature at a known time β it depends on material properties and environment
A larger k means faster temperature change (poor insulation); smaller k means slower change (good insulation)
Applications include forensics (time of death), cooking, HVAC (building heat loss), and nursing (fluid warming)
The model assumes constant ambient temperature and uniform object temperature