White Paper: The Finite Element Analysis Methodology for Printed Circuit Board Assembly

White Paper: The Finite Element Analysis Methodology for Printed Circuit Board Assembly
White Paper: The Finite Element Analysis Methodology for Printed Circuit Board Assembly
0:46

Traditional approaches, such as Trace Mapping FEA, often encounter significant challenges due to uncertainties in material properties and high computational costs. This whitepaper introduces Wiwynn's innovative Hybrid FEA method, which integrates experimental data from three-point bending tests with numerical simulations to more accurately and efficiently determine material properties.

The Hybrid FEA method has proven effective in evaluating risks such as DIMM insertion stress, solder ball cracking, and power pin mounting deformation. Case studies demonstrate that the Hybrid FEA method delivers results comparable to traditional methods while significantly reducing computational demands.

Register to Download the whitepaper!

 

White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

1 min read

White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.

Read More
Autonomous AI Agent for End-to-End Component Data Extraction

1 min read

Autonomous AI Agent for End-to-End Component Data Extraction

This paper explores an advanced framework designed to automate the extraction of important attributes from unstructured part datasheets. By...

Read More
White Paper: From Design to Live Operation: Wiwynn’s L12 AI Cluster Deployment with MLPerf Validation

1 min read

White Paper: From Design to Live Operation: Wiwynn’s L12 AI Cluster Deployment with MLPerf Validation

Deploying large-scale AI clusters introduces engineering challenges that extend well beyond the individual server rack. From liquid cooling...

Read More