Adhesives, Sealants & Industrial Bonding worked example
Lap Shear Strength Estimate at 99% surface-prep effectiveness: a worked example
This scenario runs the lap shear strength estimate calculation on the strong side: 99% surface-prep effectiveness, with every other input held at its documented default. a product designer needs an early estimate of lap shear capacity for a bonded joint
The inputs for this scenario
- Lap overlap area: 2.5 in² or mm² (unchanged)
- Adhesive shear strength: 2,800 psi or MPa (unchanged)
- Surface-prep effectiveness: 99 % (raised for this scenario; the documented default is 88)
- Cure/process yield: 92 % (unchanged)
Working through the calculation
- Applying the documented formula (Theoretical lap shear capacity = lap overlap area × adhesive shear strength) to the inputs above produces each figure below.
- At this operating point the engine returns 6,376 lbf or N for effective lap shear capacity, the number this scenario is built around.
- At this operating point the engine returns 7,000 lbf or N for theoretical lap shear capacity.
- At this operating point the engine returns 70 lbf or N for surface-prep loss.
- At this operating point the engine returns 554 lbf or N for cure/process loss.
How this compares with the baseline
- Against the tool's baseline example, where surface-prep effectiveness sits at 88% and the headline result is 5,667 lbf or N, this scenario comes in 12.5% above the baseline at 6,376 lbf or N.
- Use it for early joint sizing, adhesive candidate screening, or setting a realistic proof-load target before physical pull testing. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Effective lap shear capacity: 6,376 lbf or N (headline result)
- Theoretical lap shear capacity: 7,000 lbf or N
- Surface-prep loss: 70 lbf or N
- Cure/process loss: 554 lbf or N
Run it with your numbers
- Every input above is editable in the live Lap Shear Strength Estimate calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.