{"id":67927,"date":"2025-08-14T07:51:27","date_gmt":"2025-08-14T11:51:27","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=67927"},"modified":"2026-03-26T06:47:57","modified_gmt":"2026-03-26T10:47:57","slug":"simcenter-3d-acoustics-2506-discover-whats-new","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/simcenter-3d-acoustics-2506-discover-whats-new\/","title":{"rendered":"Simcenter 3D Acoustics 2506: Discover what’s new"},"content":{"rendered":"\n

Simcenter 3D Acoustics 2506<\/h2>\n\n\n\n

We are thrilled to announce the latest release of Simcenter 3D Acoustics<\/a> 2506, packed with innovative features designed to enhance your acoustic simulations and streamline your workflows. Whether you’re working on e-drive NVH, panel transmission loss, or fan source simulations, this release has something for you. <\/p>\n\n\n\n

Extending NVH Prediction Capabilities<\/strong> <\/h2>\n\n\n\n

One of the standout features in this release is the extended NVH prediction capabilities for common traction e-motor topologies. The enhancement for 2506 is about being able to capture the effect of acoustic encapsulations for e-drives in the typical Acoustic Transfer Vector (ATV) Reduced Order Model (ROM) used for multi-rpm analysis. This allows for accurate and fast multi-rpm or multi-order simulations, including these additional acoustic damping effects, helping you to predict and mitigate noise, vibration, and harshness (NVH) issues more effectively.\u00a0<\/p>\n\n\n\n

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\"Acoustics\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button>
Model layout and size<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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The bar chart shows the improvements made on ATV computations and the reason why the ATV approach is superior to a direct non-ATV approach for multi-order problems.<\/p>\n\n\n\n

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For the ATV computation itself, when having no acoustic encapsulation, we do not include Porous Elastic Material\u00a0 (PEM) or vibro-acoustics, and we only have air around the e-drive, improvements on the ATV ROM computation deliver ATV results 3x faster. See 2 middle bars in the bar chart.<\/p>\n\n\n\n

Now, the ATV can also incorporate the vibro-acoustic damping effect of the encapsulation (which includes a PEM layer and a plastic hard cover in this case). However, such coupled vibro-acoustic ATV computations (more physics means longer compute times) take about five times longer than their pure air-based versions. The results of which we can see by comparing the last two bars in the bar chart.<\/p>\n\n\n\n

There are different approaches available for modeling foam that is resolved vibro-acoustically when taking into account a Biot model for the PEM. The number of DOF we use for representing the PEM depends on a pre-analysis done automatically in the solver, which only takes a selection of wave types into account.  If only the slow compressional waves are taken into account in this pre-analysis, we can capture a sufficient number of DOF and still accurately predict the vibro-acoustic behavior afterwards, which means the ATV computation itself is still only 5x slower.<\/p>\n\n\n\n

\"\"\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button>
Campbell plot (acoustic power output plotting on X=freq and Y = RPM, plotted on the order lines) . Left = no acoustic encapsulation , middle is with acoustic encapsulation and right: red (before) and blue (after acoustic encapsulation) for one of the dominant orders in the response<\/figcaption><\/figure>\n\n\n\n

All this being said, the benefit of using ATV is still clear, even if it takes a bit longer to compute when incorporating the encapsulation: looking at the top and bottom bars in the bar chart, these compare the runtime for a full process: Forced response without ATV on the top, and ATV computation + ATV-based response at the bottom, showing a 5x speed up.<\/p>\n\n\n\n

For multi-rpm or multi-order analysis, the ATV-based methods significantly reduce computation time and memory usage while maintaining accuracy. For example, the Modal ATV or MATV response model completes in just 2.5 minutes with 5 GB of memory, compared to over 24 hours for a direct model. These improvements make it feasible to evaluate multiple encapsulation configurations quickly, supporting agile development cycles.<\/p>\n\n\n\n

Faster Panel Transmission Loss Predictions<\/strong> <\/h2>\n\n\n\n

Simcenter 3D Acoustics 2506 introduces significant improvements in panel transmission loss predictions. With a 40% increase in prediction speed, you can now explore more design alternatives in less time. This is particularly useful for optimizing panel designs to block airborne noise from entering the cabin. <\/p>\n\n\n\n

Panel transmission loss is critical for blocking airborne noise, especially in firewall and trim panel designs. The increased speed is achieved through better use of SparseSol MUMPS, a new acoustic incident field formulation, and improved exploitation of the coupling matrix. These enhancements allow engineers to evaluate more design variants in less time\u2014up to 5 for every 3 previously.<\/p>\n\n\n\n

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Enhanced Fan Source Simulation<\/strong> <\/h2>\n\n\n\n

For those working with large models and high frequencies, the new release offers much faster fan source creation. Thanks to further code optimization, the fan source computation process is now up to a few hundred times faster, enabling you to explore more design variants efficiently. <\/p>\n\n\n\n

\"\"\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n\n\n\n
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Faster Iterative BEM Solver<\/strong> <\/h2>\n\n\n\n

The iterative BEM solver has also been enhanced to provide faster and more efficient solutions for very large models. With smarter loading and swapping of out-of-core and in-core data, and faster computation of preconditioner and regularization terms, you can now compute very large BEM models up to 30% faster. <\/p>\n\n\n\n

Optimized Acoustic Meshing<\/strong> <\/h2>\n\n\n\n

The release also includes improvements in acoustic meshing, allowing for faster mesh creation for optimal FEMAO\/BEMAO speed. This ensures that your simulations are not only accurate but also efficient, helping you to meet shorter design cycles. <\/p>\n<\/div>\n<\/div>\n\n\n\n

Streamlined Pass-By Noise Setup<\/strong> <\/h2>\n\n\n\n

Setting up pass-by noise simulations has never been easier. The new guided workflow for pass-by noise predictions is template-based, making it quick and safe to set up and process sources. Especially the preprocessing and handling of sources coming from different files and origin, has been made more easy. This is particularly beneficial given the ever more stringent legislation on pass-by noise. <\/p>\n\n\n\n

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Conclusion<\/strong> <\/h2>\n\n\n\n

Simcenter 3D Acoustics 2506 is a game-changer for simulation engineers focusing on acoustics. With its enhanced capabilities and faster simulation times, you can now tackle more complex acoustic problems in shorter times. We invite you to explore these new features and see how they can transform your acoustic simulations. <\/p>\n\n\n\n

Stay ahead of the curve and make the most of the new Simcenter 3D Acoustics 2506! <\/h2>\n\n\n\n

Simcenter 3D Acoustics is just one part of the Simcenter 3D 2506 release<\/a> which inturn is a single product that is part of the larger release of the Simcenter Mechanical products.<\/a> Furthermore, if you would like to keep up to date with all things Simcenter 3D then we recommend you follow our monthly blog – Simcenter 3D: The latest <\/a><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Simcenter 3D Acoustics 2506 is a game-changer for simulation engineers focusing on acoustics. With its enhanced capabilities and faster simulation times, you can now tackle more complex acoustic problems in shorter times. We invite you to explore these new features and see how they can transform your acoustic simulations.\u00a0<\/p>\n","protected":false},"author":36179,"featured_media":67930,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[179,1],"tags":[63630,5,243,627,18629,86],"industry":[125,126,89,132,133],"product":[577,34323],"coauthors":[1010,18475],"class_list":["post-67927","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-updates","category-news","tag-acoustics","tag-cae-simulation","tag-computer-aided-engineering-cae","tag-simcenter-engineering","tag-simcenter-mechanical","tag-simulation","industry-aerospace-defense","industry-aircraft-engines","industry-automotive-transportation","industry-automotive-oems","industry-automotive-suppliers","product-simcenter-3d","product-simcenter-3d-solutions"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/08\/pass-by-noise.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/67927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/36179"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=67927"}],"version-history":[{"count":4,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/67927\/revisions"}],"predecessor-version":[{"id":68076,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/67927\/revisions\/68076"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/67930"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=67927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=67927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=67927"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=67927"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=67927"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=67927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}