## < ⎙ 4 Other formulas that you can solve using the same Inputs

Young's Modulus of composite in transverse direction
Young's modulus of composite in transverse direction=(Young's modulus of matrix in composite*Young's modulus of fiber in composite)/(Volume fraction of fiber*Young's modulus of matrix in composite+(1-Volume fraction of fiber)*Young's modulus of fiber in composite) GO
Longitudinal strength of discontinuous fiber-reinforced composite
Longitudinal strength of composite(discontinous fiber)=Tensile strength of fiber*Volume fraction of fiber*(1-(Critical fiber length/(2*Fiber length)))+Stress in matrix*(1-Volume fraction of fiber) GO
Longitudinal strength of discontinuous fiber-reinforced composite ( less than critical length)
Longitudinal strength of composite(discontinous fiber less than lc)=(Volume fraction of fiber*Fiber length*Critical shear stress/Fiber diameter)+Stress in matrix*(1-Volume fraction of fiber) GO
Young's Modulus of composite in longitudinal direction
Young's modulus of composite in longitudinal direction=Young's modulus of matrix in composite*(1-Volume fraction of fiber)+Young's modulus of fiber in composite*Volume fraction of fiber GO

### Longitudinal strength of composite Formula

Longitudinal strength of composite=Stress in matrix*(1-Volume fraction of fiber)+Tensile strength of fiber*Volume fraction of fiber
More formulas
Young's Modulus from shear modulus GO
Critical fiber length GO
Percent ionic character GO
Schottky Defect Concentration GO
Young's Modulus of porous material GO
Young's Modulus of composite in longitudinal direction GO
Young's Modulus of composite in transverse direction GO
Longitudinal strength of discontinuous fiber-reinforced composite GO
Longitudinal strength of discontinuous fiber-reinforced composite ( less than critical length) GO

## Assumptions used

If it is assumed that strain on fiber is more than strain on matrix, then fibers will fail before the matrix. Once the fibers have fractured, the majority of the load that was borne by the fibers is now transferred to the matrix.

## How to Calculate Longitudinal strength of composite?

Longitudinal strength of composite calculator uses Longitudinal strength of composite=Stress in matrix*(1-Volume fraction of fiber)+Tensile strength of fiber*Volume fraction of fiber to calculate the Longitudinal strength of composite, Longitudinal strength of composite, that is aligned and continuous fiber reinforced composite. Longitudinal strength of composite and is denoted by σcl symbol.

How to calculate Longitudinal strength of composite using this online calculator? To use this online calculator for Longitudinal strength of composite, enter Volume fraction of fiber (Vf), Tensile strength of fiber f) and Stress in matrix m) and hit the calculate button. Here is how the Longitudinal strength of composite calculation can be explained with given input values -> 120 = 70000000*(1-0.5)+170000000*0.5.

### FAQ

What is Longitudinal strength of composite?
Longitudinal strength of composite, that is aligned and continuous fiber reinforced composite and is represented as σclm*(1-Vf)+σf*Vf or Longitudinal strength of composite=Stress in matrix*(1-Volume fraction of fiber)+Tensile strength of fiber*Volume fraction of fiber. Volume fraction of fiber in fiber reinforced composite, Tensile strength of fiber in the fiber-reinforced composite and Stress in matrix is the stress at the failure of composite.
How to calculate Longitudinal strength of composite?
Longitudinal strength of composite, that is aligned and continuous fiber reinforced composite is calculated using Longitudinal strength of composite=Stress in matrix*(1-Volume fraction of fiber)+Tensile strength of fiber*Volume fraction of fiber. To calculate Longitudinal strength of composite, you need Volume fraction of fiber (Vf), Tensile strength of fiber f) and Stress in matrix m). With our tool, you need to enter the respective value for Volume fraction of fiber, Tensile strength of fiber and Stress in matrix and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well. Let Others Know