It is the hottest week of Jestha, and your school’s sports day runs from 8 in the morning until 6 in the evening, out on the ground in the sun. Someone brings a big bag of ice for the drinks. By noon it is a bag of warm water. Could you have saved it? Not with a fridge: there is no electricity on the ground. With a box, then. But which box, made of what, how thick, and how would you know it will work before the day comes?
This is an engineering question. A scientist asks how the world works; an engineer uses what scientists have found to make something that does a job, and proves that it does. In this topic you will design an ice box the way engineers design everything from vaccine carriers to bridges: say exactly what it must do, use the science of heat to come up with ideas, try them in a model, build and test them, compare them fairly, and combine the best of each into something better.
Science asks, engineering makes
You have already done research like a scientist in Grade 8: a question, a hypothesis, a method, data and a conclusion Grade 8: Research work. Engineering uses the same care with measurements, but it starts somewhere else. It starts with a problem: something people need that doesn’t exist yet, or doesn’t work well enough.
| Science | Engineering | |
|---|---|---|
| starts with | a question about the world | a problem people have |
| example | Does a black box get hotter in the sun than a white one? | Make a box that keeps ice from melting until 6 pm. |
| ends with | an answer, an explanation | a thing that works, and the tests that show it |
| how many right answers? | one (the way the world really is) | many: several designs may work, each with its own strengths |
If you have read Can You Make a Hand Warmer?, you have been round the engineers’ loop once: set the goal, build, test, improve. Here you will go round it more carefully, with each step done the way professionals do it.
Which of these is an engineering problem rather than a science question?
Pick an answer to see why.
Step 1: Say exactly what success means
“A box that keeps ice cold” sounds clear, but it isn’t. How much ice? For how long? How cold is the day? Can it be as big as a cupboard? Can it cost Rs 5,000? Two teams given that sentence would build completely different boxes and both claim they had succeeded. So engineers start by writing the problem down precisely.
The things a design must do, to count as a success, are its criteria. The limits it must be made within (money, size, weight, materials, time, safety) are its constraints. Both must be things you can check: with a scale, a clock, a ruler, a price list. “Keeps ice well” can’t be checked. “At least 250 g of a 1,000 g block left at 6 pm” can.
Here is our problem, written the way an engineer would write it.
The problem. On a hot, sunny day (about 32 °C in the shade), keep ice for drinks from 8 am until 6 pm, outdoors, with no electricity.
Criteria
- a.It holds 1,000 g of ice, put in at 8 am.
- b.At 6 pm, at least 250 g of ice is left (a quarter), out in the sun all day.
- c.It can be opened to take ice out, and closed again.
Constraints
- a.It costs no more than Rs 300 to make.
- b.It is no bigger than 25 cm along any side, and someone can carry it with one hand.
- c.It is made from materials a student can get; nothing that is dangerous to handle.
- d.Its materials do as little harm as possible to people and the environment when it is thrown away.
Some of these are musts: a design that fails one is out, however good it is otherwise (criterion b, and every constraint). Others are wants: of two designs that both pass, the one that is cheaper, lighter or kinder to the environment is better. Sorting “must” from “want” before you start saves many arguments later.
Thinking about people and the planet
Notice the last constraint. A good engineer asks not only “does it work?” but “who does it affect, and how?” Thermocol, the white foam of packing boxes, is one of the best insulators you can buy. It is also a plastic that never rots: thrown away, it breaks into little beads that blow into rivers and fields and stay there, and when it is burned with rubbish it gives off harmful smoke. Rice husk, a waste from every rice mill in the Terai, insulates not far behind it, costs almost nothing, and can go back onto a field afterwards. Thinking about this at the start, while the problem is being written, can change which designs are even allowed.
A team writes as their criterion: “The box should keep the ice nice and cold for a long time.” What is wrong with it?
Pick an answer to see why.
Which of these is a constraint rather than a criterion?
Pick an answer to see why.
The science you will design with
Ice in a box melts because heat gets in. The ice and the box’s inside stay at 0 °C while there is any ice left: every joule that leaks in goes into melting, 334 J for each gram (you can see why in Where Does the Heat Go When Ice Melts?). So the slower heat gets in, the longer the ice lasts. A good ice box is a heat-stopping box, and you know the three ways heat travels from Grade 8.
- Conduction, through the walls, lid and floor Grade 8: Conduction. Stop it with a thick layer of a material with a low thermal conductivity. The best are mostly trapped, still air: thermocol, crumpled newspaper, rice husk, sawdust, wool.
- Radiation, from the sun Grade 8: Which box gets hottest?. A dark box absorbs most of the sunlight that falls on it and warms up; a white or shiny one reflects most of it. Shiny foil on the outside, or simply keeping the box in the shade, cuts this.
- Convection, through gaps. Air inside the box is cooled by the ice and sinks; if there is a gap low down, it pours out, and warm air is pulled in through any gap at the top. A lid that fits tightly, with no cracks, stops it.
A thermos flask stops all three as well as anything can, with a vacuum and silvered walls Grade 8: Thermos flask. But a vacuum box big enough for a kilogram of ice costs far more than Rs 300. Our box must do the same job with ordinary materials: that is what the constraints are for.
Thickness ÷ conductivity: the R-value
How well a layer stops heat depends on two things: what it is made of, and how thick it is. Twice as thick lets heat through half as fast; a material that conducts twice as well lets it through twice as fast. Builders put both into one number, the layer’s R-value (R for resistance):
The bigger the R-value, the better the layer insulates. In many countries, insulation for houses is sold by its R-value, so that a buyer can compare a thin, expensive sheet with a thick, cheap one.
| Filling | Thermal conductivity, roughly (W per m per °C) |
|---|---|
| thermocol (expanded polystyrene) | 0.035 |
| crumpled newspaper | 0.05 |
| rice husk, loose | 0.05 |
| sawdust | 0.07 |
| still air | 0.025 |
(These are typical values; a real sample depends on how tightly it is packed and how dry it is. Damp rice husk or sawdust insulates much worse.)
You double the thickness of the thermocol in your box’s walls, from 2 cm to 4 cm. Why does the heat leaking in not quite halve?
Pick an answer to see why.
Step 2: Ideas, then a model
With the problem written and the science in hand, a team first comes up with many ideas, without judging them yet: a thermocol box from a shop; a carton inside a bigger carton, with rice husk between; ice wrapped in old sweaters; a steel tiffin in a towel; a box covered in foil; ice buried in sawdust, the way ice was kept a hundred years ago. Then they choose the most promising few to try.
But building and testing each idea takes a whole day of sun. Engineers save time with a model: a simpler version of the design that can be tested quickly and cheaply, to find out which ideas are worth building. A model can be a small copy, a drawing, or, as here, a set of rules worked out on a computer from the science. The model below uses the R-value idea to work out how fast heat leaks into a box, and so how fast the ice melts.
A model is only as good as the science in it, and every model leaves things out. This one assumes the lid fits perfectly (no air gets in), the ice starts at exactly 0 °C, and the filling is dry and evenly packed. A real box will do a little worse than the model says. That is why a model guides testing but never replaces it: the model tells you which designs to build, and the real test tells you whether the model was right.
Better and better: optimizing
Play with the model, and you will notice something. Going from 0 to 2 cm of thermocol makes a huge difference: the heat leaking in drops from about 16 W to 6 W. Going from 2 to 4 cm helps much less: 6 W to 4.5 W. And every extra centimeter makes the box bigger and heavier. Somewhere there is a best thickness: thick enough to pass with some ice to spare, no thicker than it needs to be. Finding it, by testing a design, changing it a little and testing again, is called optimizing, and it is how almost every product you own was finished.
In the model, with brown cardboard outside, 5 cm of sawdust leaves only about 210 g of ice at 6 pm, while just 3 cm of newspaper leaves about 300 g. What is the best explanation?
Pick an answer to see why.
Step 3: Build and test fairly
Now build the best few designs, and test them all at the same time, in the same place, in the same way, so that the only difference between them is the design. That is a fair test, the same rule you used in science: change one thing, keep everything else the same.
Here are the results of one class’s test of four designs. (Made up for this book, but typical of what you would get.) Each box had 1,000 g of ice at 8 am, and stood in the sun; the ice was weighed every two hours.
| Design | What it was | Ice left at 6 pm | Cost | Weight (empty) |
|---|---|---|---|---|
| A | a thermocol box from a shop, 2 cm walls | 395 g | Rs 250 | 0.3 kg |
| B | a carton inside a bigger carton, 4 cm of rice husk between | 335 g | Rs 40 | 1.2 kg |
| C | a carton lined with 3 cm of crumpled newspaper, covered in foil, a folded-flap lid | 310 g | Rs 60 | 0.6 kg |
| D | a steel tiffin wrapped in a thick towel | 100 g | Rs 0 | 0.9 kg |
Step 4: Compare the designs fairly
Design D fails a must, so it is out, whatever else is good about it (it cost nothing). A, B and C all pass. Which is best?
It depends on what matters most, and different people would answer differently. Engineers make the choice fair and open with a decision matrix. Each design is given a score for each “want”, from 1 (poor) to 5 (excellent), using rules fixed in advance. Each want is given a weight: how much it matters, agreed by the team before the results are in, so that nobody can pick weights to make their favorite design win. A design’s total is each score times its weight, added up.
| Want | How it is scored | A | B | C |
|---|---|---|---|---|
| keeps the most ice | 380 g or more 5; 350–379 g 4; 320–349 g 3; 290–319 g 2; 250–289 g 1 | 5 | 3 | 2 |
| cheap | up to Rs 50 5; Rs 51–100 4; Rs 101–150 3; Rs 151–200 2; more 1 | 1 | 5 | 4 |
| light to carry | 0.5 kg or less 5; up to 0.8 kg 4; up to 1.1 kg 3; up to 1.4 kg 2; more 1 | 5 | 2 | 4 |
| kind to the environment | what happens to it afterwards (see below) | 1 | 5 | 3 |
For the environment: A is thermocol, used a few times and then thrown away, where it never rots (1). B’s rice husk goes back onto a field and its cartons can be recycled (5). C’s newspaper can be recycled, but crumpled, used foil usually can’t (3).
The matrix doesn’t decide for you: people still choose the weights. What it does is make the choice visible. Anyone can see why B won, and if a shopkeeper who carries the box all day says “weight matters more than you thought”, everyone can see exactly how the answer changes.
Why should a team agree the weights before they see the test results?
Pick an answer to see why.
Step 5: Combine the best, and test again
Choosing a winner is not the end. Look at the data again, and ask what each design did well, and why. Often the best design is none of them, but a new one that takes the best feature of each.
| Design | Did well | Why (the science) | Did badly |
|---|---|---|---|
| A | kept the most ice; light | thermocol has the lowest conductivity; its molded lid fits tightly, so no air gets in | costly; bad for the environment |
| B | cheap; kind to the environment | rice husk insulates nearly as well as thermocol | heavy; brown outside absorbed sunlight |
| C | cheap; light | newspaper is light; the foil reflected sunlight | its folded-flap lid let air in, so it did worse than its walls should have |
Look closely at C. Its walls had about the same R-value as A’s (0.60 against 0.57), and the foil should have helped it more. So why did it keep less ice? The model said a box like C should keep about 400 g; the test gave 310 g. The difference points at the one thing the model left out: air through the gaps in its folded-flap lid. That is how a test teaches you something a model can’t.
So the class combined the best features into design E: 4 cm of crumpled newspaper (light, cheap and recyclable, like C), foil outside (C’s idea, to reflect the sun), and a lid that fits tightly with an overlapping rim, sealed with a strip of cloth (A’s best feature, made from cardboard). Then they tested it, the same way, on another sunny day.
E keeps more ice than A, costs less than a third as much, and can go into the recycling. It is heavier than A (0.7 kg against 0.3 kg): no design is best at everything, and an engineer always gives up a little of one thing for more of another. This is called a trade-off.
And the loop goes on. Could a thinner layer of newspaper still pass, and make the box lighter? Would rice husk instead of newspaper work as well if the box stays in one place, so its weight doesn’t matter? Each question is another trip round the loop: model, build, test, compare, combine. Engineers call this iterating, and it stops only when the design is good enough for its users, or the time or money runs out.
Questions
A box keeps 1,000 g of ice until 6 pm with 260 g left in the shade, but only 90 g left in the sun. The criterion says “at least 250 g left at 6 pm, in the sun”. What should the team do?
Pick an answer to see why.
Design X keeps 450 g of ice and costs Rs 400. Design Y keeps 300 g and costs Rs 80. The constraint is Rs 300 at most. Which is the better design for this problem?
Pick an answer to see why.
Explain the difference between a criterion and a constraint, with one example of each for a solar cooker that is meant to cook rice for a family of four.
Answer
A criterion is something the design must do to be a success; a constraint is a limit you must work within while making it. Criteria for the solar cooker: it cooks 500 g of rice (enough for four) until soft in less than 2 hours on a sunny day; it reaches at least 100 °C inside. Constraints: it costs less than Rs 2,000; it uses no fuel or electricity; it folds small enough to store; it is safe to touch on the outside. (Any precise, checkable examples are right.)
Ice in a box melts at a steady rate as long as some ice is left. Why? Use the word latent heat.
Answer
While there is ice in the box, the inside stays at 0 °C: the heat that leaks in doesn’t warm anything, it goes into melting ice, as latent heat (334 J for every gram). So the temperature difference between the outside and the inside, and with it the rate at which heat leaks in, stays the same all the time; and the ice melts at the same rate, grams per hour, until it has all gone. (If the outside gets hotter at midday, the rate rises a little then.)
In a test, a box’s ice went from 800 g at 9 am to 520 g at 1 pm. a. Find the melting rate in grams per hour. b. Will there be at least 200 g left at 5 pm? c. Roughly how much heat, in watts, is getting in?
Answer
- a.800 − 520 = 280 g in 4 hours: 280 ÷ 4 = 70 g per hour.
- b.From 1 pm to 5 pm is 4 hours: 4 × 70 = 280 g more. Left at 5 pm = 520 − 280 = 240 g: yes, more than 200 g.
- c.Heat each hour = 70 × 334 = 23,380 J; ÷ 3,600 s = about 6.5 W.
Asha’s box is a carton with 3 cm of sawdust in the walls. Bikash’s is a carton with 2 cm of thermocol. Their boxes are the same size inside. a. Work out the R-value of each wall (sawdust 0.07, thermocol 0.035 W per m per °C). b. Which box should keep its ice longer, if nothing else is different? c. Give one reason Asha’s box might still be the better choice, and one reason it might be worse than your answer to b. suggests.
Answer
- a.Sawdust: 0.03 ÷ 0.07 = 0.43. Thermocol: 0.02 ÷ 0.035 = 0.57.
- b.Bikash’s: its wall has the bigger R-value, so heat leaks in more slowly (and its box is smaller outside, with less surface).
- c.Better: sawdust is cheap or free, comes from a waste, and doesn’t harm the environment when it is thrown away. Worse: sawdust is much heavier, so the box is harder to carry; and if it gets damp, from the meltwater or the rain, it insulates much worse.
The model in this topic said design C should keep about 400 g of ice, but in the real test it kept 310 g. a. Give two possible reasons why. b. What should the class do next?
Answer
- a.Any two: the model assumes no air gets in, but C’s folded-flap lid had gaps, so cold air spilled out and warm air came in (convection); the crumpled newspaper may have been packed unevenly, with thin places; the ice may have started colder or warmer, or the boxes opened more often than the model assumes; the paper may have got damp from meltwater; the day may have been hotter or sunnier than the model’s.
- b.Find out which reason is true, by testing: for example, build C again with a tightly fitting lid, keep everything else the same, and see whether it comes close to the model’s 400 g. Then improve the design (a better lid), or improve the model (add air leaks) so that its next predictions are closer to the truth.
A team’s decision matrix uses the weights “keeps ice 1, cheap 1, light 3, environment 1”. Using the scores in this topic’s table, which of A, B and C wins? Who might choose weights like these?
Answer
A: 5 × 1 + 1 × 1 + 5 × 3 + 1 × 1 = 5 + 1 + 15 + 1 = 22.
B: 3 × 1 + 5 × 1 + 2 × 3 + 5 × 1 = 3 + 5 + 6 + 5 = 19.
C: 2 × 1 + 4 × 1 + 4 × 3 + 3 × 1 = 2 + 4 + 12 + 3 = 21.
A wins, just ahead of C. Someone who has to carry the box a long way, a vendor walking through a market all day, or a health worker climbing to a hill village, would care most about weight.
Two designs passed all the musts. Design P keeps the most ice but costs the most. Design Q is cheap and light but keeps the least ice. Describe how you would use the test results to make a new design that is better than both, and how you would know that it is.
Answer
- Look at the test data for each design and ask what it did well, and why: which part of P makes it keep ice (its filling? its lid? its color?), and which part of Q makes it cheap and light.
- Design a new box that takes P’s ice-keeping feature and Q’s cheap, light materials, if they can go together (for example, P’s tight lid made in Q’s materials).
- Try it in the model first, to check it should pass the criteria.
- Build it and test it in the same way as P and Q (same ice, same time, same place), so the results can be compared fairly.
- Score it in the same decision matrix with the same weights. If it passes every must and scores higher than both, it is better; if not, find out why and go round the loop again.
Where to go next
- Where does the heat go when ice melts? Why the ice in your box stays at 0 °C until it has all melted, and why melting it takes so much heat.
- Can you make a hand warmer? The opposite problem: a pack that makes heat, and keeps it, designed round the same loop.
- Why can you hear through a wall but not see through it? Why foil reflects sunlight and a black box soaks it up: what waves do when they reach a surface.
