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Solid Length Of Spring Calculator

Formula Used:

\[ L = N_t \times d \]

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m

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1. What is Solid Length of Spring?

Solid Length of Spring is defined as the axial length of the spring which is so compressed that the adjacent coils touch each other. It represents the minimum possible length of the spring when fully compressed.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ L = N_t \times d \]

Where:

Explanation: The solid length is calculated by multiplying the total number of coils by the diameter of the spring wire, as each coil contributes one wire diameter to the overall solid length.

3. Importance of Solid Length Calculation

Details: Calculating the solid length is crucial for spring design as it determines the minimum space required for the spring installation and ensures proper functioning without bottoming out during compression.

4. Using the Calculator

Tips: Enter the total number of coils and the diameter of the spring wire. All values must be positive numbers. The result will be in meters.

5. Frequently Asked Questions (FAQ)

Q1: What factors affect the solid length of a spring?
A: The solid length is primarily determined by the total number of coils and the wire diameter. End conditions and coil spacing do not affect the solid length calculation.

Q2: How does solid length differ from free length?
A: Free length is the length of the spring when unloaded, while solid length is the length when fully compressed with all coils touching.

Q3: Why is solid length important in spring design?
A: Solid length determines the minimum installation space required and helps prevent over-compression that could damage the spring.

Q4: Can this formula be used for all types of springs?
A: This formula applies specifically to helical compression springs where coils touch when fully compressed.

Q5: How do end conditions affect the solid length?
A: Different end conditions (plain, plain ground, squared, squared ground) may slightly affect the actual solid length, but the basic formula \( L = N_t \times d \) provides a good approximation.

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