Question
A spring with spring constant N/m is compressed by m. A block of mass kg is placed against it and released. Find the speed of the block when it leaves the spring on a frictionless surface. Also, if two such springs are connected in series, what is the effective spring constant?
(JEE Main & NEET standard problem)
Solution — Step by Step
By Hooke’s law, the force in a spring is , and the potential energy stored when compressed or stretched by is:
On a frictionless surface, all spring PE converts to KE when the block leaves the spring (at natural length):
For springs in series, the weaker combination rule applies:
Series springs are softer — the effective is smaller than either individual spring.
Why This Works
A spring stores energy through deformation. When you compress it by , you do work against the restoring force. This work gets stored as elastic PE. Upon release, this PE converts back to KE — the spring pushes the block.
The energy stored is (not ) because the force increases linearly from to during compression — so the average force is .
graph TD
A["Spring Problem"] --> B{"What's asked?"}
B -->|"Speed/velocity"| C["Energy Conservation<br/>½kx² = ½mv²"]
B -->|"Effective k"| D{"Combination type?"}
D -->|"Series"| E["1/k_eff = 1/k₁ + 1/k₂<br/>Result: softer"]
D -->|"Parallel"| F["k_eff = k₁ + k₂<br/>Result: stiffer"]
B -->|"Force at extension x"| G["F = kx<br/>Hooke's Law"]
B -->|"Time period of SHM"| H["T = 2π√(m/k)"]
Alternative Method — Using Work Done by Spring Force
Instead of energy conservation, calculate work done by the spring directly:
By work-energy theorem: , so . Same result.
Remember the analogy: springs in series combine like resistors in parallel (reciprocal addition), and springs in parallel combine like resistors in series (direct addition). This is the opposite of resistors — don’t mix them up!
Common Mistake
Students often write PE instead of , forgetting the factor of . This gives a speed that’s times too large. The factor comes from integration: . If your answer seems unexpectedly large, check whether you missed this factor.