International study recognizes Sherlock as leading PCB simulation tool
Determines material properties for any PCB
DfR Solutions, leader in quality, reliability, and durability (QRD) solutions for the electronics industry, is proud to announce that the Institute of Research and Development India (IRD India) has validated the Sherlock Automated Design Analysis™ Software as the industry standard for accurate mechanical modeling and simulation of electronics.
In an independent study published in the International Journal on Mechanical Engineering and Robotics (IJMER), Sherlock was used by the authors to perform PCB simulation for various load conditions to determine the failure of components on PCBs. IJMER is a peer reviewed journal published by IRD India. In this paper, Determination of Mechanical Properties of PCB, the importance of material properties in PCB analysis was discussed and the effect of material property variation on PCB response was studied. The authors identified Sherlock’s unique capability to accurately predict the composite PCB properties through its internal laminate library and use of validated composite models. The researchers concluded that Sherlock was as or more accurate than equivalent simulation through Ansys.
“This research demonstrates that Sherlock is considered worldwide as the gold standard for mechanical and thermal-mechanical simulation of electronics,” stated DfR Solutions CEO Craig Hillman. “Sherlock Automated Design Analysis™ Software is being used by academia and by industry as the default method by which companies communicate reliability across their organizations and throughout the supply chain,” said Hillman.
About Sherlock Automated Design Analysis™ Software
Sherlock is the first-of-its-kind Automated Design Analysis software for analyzing, grading, and certifying the expected reliability of products at the circuit card assembly level. It is used by the electronics industry across all markets. Sherlock continues to evolve, incorporating new innovations and enhancements allowing users to manage increasingly complex analyses faster and more efficiently than ever before.