6 Things to Know About Sherlock Analysis and How It Improves Reliability

When engineers design circuit boards and electronic systems, they need to know how those products will perform in the real world. Waiting until prototypes are built and tested can be costly and time-consuming. This is where Sherlock analysis comes in.

Sherlock, developed by Ansys, is a predictive reliability tool that uses design data to forecast how products will hold up under thermal, mechanical, and environmental stress. It helps identify weaknesses before manufacturing, reducing risks and saving both time and money.

This article explains what Sherlock analysis is, how it works, and six important things every business should know about using it for reliability predictions.

What is Sherlock Analysis?

Sherlock analysis is a software-based reliability prediction method for printed circuit boards (PCBs) and electronic assemblies. Instead of relying only on physical tests, Sherlock uses design files to run simulations.

It predicts how products will respond to real-world factors like vibration, shock, temperature cycles, and material fatigue. This allows engineers to make improvements early in the design process.

How Sherlock Analysis Works

Sherlock connects directly with common CAD tools to read design files. Once imported, it automatically builds a model of the PCB or assembly. The software then runs simulations to evaluate:

• Thermal cycling: How heating and cooling cycles affect solder joints and materials.

• Vibration fatigue: How constant vibrations impact the life span of connections.

• Mechanical shock: How sudden drops or impacts influence performance.

• Creep and wear-out: How long-term stress affects reliability.

The results highlight potential failure points and give teams the opportunity to make changes before production.

6 Things to Know About Sherlock Analysis

1. It Speeds Up Design Cycles

By predicting issues before physical testing, Sherlock reduces redesigns and shortens time to market.

2. It Cuts Costs

Fewer physical prototypes are needed when issues are identified through simulation, lowering testing and development costs.

3. It Improves Reliability Predictions

Sherlock provides realistic results by factoring in actual usage conditions, not just theoretical models.

4. It Works with Industry Standards

Sherlock supports widely recognized standards like Telcordia SR-332 and IPC, making its results useful for compliance and customer requirements.

5. It Reduces Risk in Demanding Environments

Industries like aerospace, automotive, and defense depend on reliable electronics. Sherlock helps reduce the risk of field failures in harsh conditions.

6. It Complements Physical Testing

While powerful, Sherlock does not replace lab testing. Instead, it works alongside physical tests to give a fuller picture of reliability.

Conclusion

Sherlock analysis is a valuable tool for predicting PCB and electronic assembly reliability before products reach the field. By simulating real-world conditions early in the design stage, it helps teams save time, cut costs, and build stronger, more dependable products.

While it should not replace physical testing, Sherlock works best as part of a combined approach that balances simulation with lab validation. For businesses in industries where reliability is critical, Sherlock analysis offers a clear advantage.