Compare Ansys Sherlock vs. Energy2D

Ansys Sherlock stands out as the sole reliability physics-based tool for electronics design that delivers quick and precise life expectancy assessments for electronic components, boards, and systems during the initial design phases. By automating the design analysis process, Ansys Sherlock enables the rapid generation of life predictions, thus eliminating the "test-fail-fix-repeat" cycle that often hampers development. Designers can effectively model the interactions between silicon–metal layers, semiconductor packaging, printed circuit boards (PCBs), and assemblies, allowing for accurate predictions of potential failure risks stemming from thermal, mechanical, and manufacturing stresses, all prior to creating prototypes. Additionally, Sherlock's extensive libraries, which house over 500,000 components, facilitate the seamless transformation of electronic computer-aided design (ECAD) files into computational fluid dynamics (CFD) and finite element analysis (FEA) models. Each of these models is equipped with precise geometries and material properties, ensuring that stress information is accurately conveyed for reliable predictions. This capability not only enhances design efficiency but also significantly reduces the risk of costly errors in the later stages of product development.

Energy2D is an interactive multiphysics simulation program grounded in computational physics, designed to model the three primary modes of heat transfer: conduction, convection, and radiation, while also integrating particle dynamics. This software operates efficiently on a wide range of computers, simplifying the process by removing the need for switches between preprocessors, solvers, and postprocessors that are usually necessary for computational fluid dynamics simulations. Users can create "computational experiments" to explore scientific hypotheses or address engineering challenges without the need for intricate mathematical formulations. Additionally, development is ongoing to introduce various energy transformation types and to enhance support for different fluid types. While Energy2D excels in accurately modeling conduction, its representations of convection and radiation are not entirely precise, which means results involving these elements should be regarded as qualitative. Over 40 scientific papers have utilized Energy2D as a valuable research instrument, showcasing its adoption in the academic community. As the program evolves, its capabilities are expected to expand further, potentially offering more comprehensive insights into complex physical interactions.