{"id":74821,"date":"2026-05-27T12:54:44","date_gmt":"2026-05-27T16:54:44","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=74821"},"modified":"2026-06-01T08:40:40","modified_gmt":"2026-06-01T12:40:40","slug":"how-simcenter-is-accelerating-innovation-across-industries","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/how-simcenter-is-accelerating-innovation-across-industries\/","title":{"rendered":"How Simcenter is accelerating innovation across industries"},"content":{"rendered":"\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>In this webinar, Siemens product and sales experts\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/peterdeclerck\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Peter De Clerck<\/strong><\/a>\u00a0and\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/jonahn\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Jonah Normand<\/strong><\/a>\u00a0are joined by\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/monicaschnitger\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Monica Schnitger<\/strong><\/a>, President and Principal Analyst of Schnitger Corporation. Together, they discuss why simulation can no longer be just a specialized activity. Watch the recording to learn why simulation must develop into a shared, strategic capability to fasten and improve decision-making throughout the organization.<\/p>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:37% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"702\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1024x702.png\" alt=\"\" class=\"wp-image-74019 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1024x702.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-600x411.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-768x526.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1536x1053.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-2048x1404.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-900x617.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-medium-font-size\"><strong>Why engineering transformation is key to faster decisions across the organization<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/webinars.sw.siemens.com\/en-US\/why-engineering-transformation-is-key-to-faster-decisions\/\" target=\"_blank\" rel=\"noreferrer noopener\">Watch here<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>This&nbsp;article examines how manufacturers across aerospace, automotive, pharmaceuticals, consumer goods and other industries&nbsp;are&nbsp;leveraging&nbsp;the power of simulation and AI to&nbsp;transform&nbsp;product development.&nbsp;<\/p>\n\n\n\n<p>In today&#8217;s fast-paced world, innovation is key to staying ahead.&nbsp;From&nbsp;compressing development cycles&nbsp;to improving product quality, these case studies&nbsp;demonstrate&nbsp;how&nbsp;Simcenter, combined with AI, enables faster, more efficient and more accurate design procesess.<\/p>\n\n\n\n<p>Discover how these&nbsp;cutting-edge&nbsp;approaches are transforming industries and driving the future of engineering.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Foresee Power: achieving 95% accuracy without physical testing<\/h2>\n\n\n\n<p>Forsee Power\u2019s goal is simple: democratize electrification of mobility applications by providing comprehensive,&nbsp;modular&nbsp;and intelligent battery systems. To accomplish this, Foresee Power accelerated their design processe by implementing Simcenter STAR-CCM+ for battery and thermal design. Simulating battery pack heating conditions&nbsp;virtually has&nbsp;helped them significantly reduce experimental and time costs with simulations providing a margin of error of just five percent when compared&nbsp;to real-world data.<\/p>\n\n\n\n<p><strong>Results achieved:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduced&nbsp;battery thermal&nbsp;design&nbsp;and experimental&nbsp;time and costs for air-cooled battery systems using simulation<\/li>\n\n\n\n<li>Improved simulation accuracy&nbsp;and&nbsp;efficiency and product development fidelity levels<\/li>\n\n\n\n<li>Enhanced understanding of the battery pack\u2019s temperature distribution under various operating conditions<\/li>\n\n\n\n<li>Optimized heat dissipation efficiency using&nbsp;Simcenter&nbsp;STAR-CCM+ simulation and verification&nbsp;<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>Using&nbsp;Simcenter&nbsp;STAR-CCM+, we could accurately obtain thermal design performance early in the design stage.<\/em>&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p><em>Kinny Ruan, Mechanical Engineer, Forsee Power<\/em>&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-forsee-power\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the&nbsp;full Foresee Power case study.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Cummins: reducing engine prototypes by 50% using system-level&nbsp;simulation<\/h2>\n\n\n\n<p>Cummins,&nbsp;a global manufacturer of diesel and alternative fuel engines,&nbsp;was&nbsp;challenged with reducing&nbsp;the length and cost of development cycles, as well&nbsp;as&nbsp;demonstrating&nbsp;capabilities of products before building physical prototypes.<\/p>\n\n\n\n<p><strong>The realized&nbsp;benefits of&nbsp;Simcenter Amesim&nbsp;to Cummins:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Won&nbsp;new&nbsp;business by creating integrated and scalable mechatronic system simulations<\/li>\n\n\n\n<li>Reduced number of prototypes by 50%<\/li>\n\n\n\n<li>Shortened test result lead time by 1 month<\/li>\n<\/ul>\n\n\n\n<p>What this means:&nbsp;By&nbsp;integrating&nbsp;Simcenter Amesim&nbsp;into their&nbsp;design&nbsp;process, Cummins could&nbsp;optimize&nbsp;engine&nbsp;designs early on and benchmark products against alternatives, significantly reducing the need for physical prototypes, saving&nbsp;both time and cost.<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-cummins-simcenter\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the&nbsp;full Cummins&nbsp;case study.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Briggs &amp; Stratton:&nbsp;achieving&nbsp;best-in-class NVH&nbsp;performance<\/h2>\n\n\n\n<p>Briggs &amp; Stratton is the manufacturer of small internal combustion engines sold in over 100 countries.&nbsp;Briggs &amp; Stratton stays competitive by continuously developing their engine models and new engine families.<\/p>\n\n\n\n<p>Most&nbsp;importantly is&nbsp;ensuring sound and vibration are best-in-class. To achieve the right noise, vibration and harshness (NVH) balance, their engineers use flexible and intuitive&nbsp;Simcenter&nbsp;software and hardware throughout the entire testing process.<\/p>\n\n\n\n<p><strong>Key improvements:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduced&nbsp;testing and postprocessing time during analysis<\/li>\n\n\n\n<li>Correlated sound and vibration to analyze&nbsp;data&nbsp;and correct&nbsp;issues<\/li>\n\n\n\n<li>Used tokens to test innovations and discover new techniques<\/li>\n<\/ul>\n\n\n\n<p>What this means: Briggs &amp; Stratton achieved product goals early in the development cycle by implementing Simcenter Testlab to monitor live data and processes during the recording and Simcenter SCADAS to calculate engine sound pressure and the sound power and quality.<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-briggs-stratton\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the&nbsp;full Briggs &amp; Stratton&nbsp;story<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI-powered simulation transforms pharmaceutical manufacturing<\/h2>\n\n\n\n<p>Tablet coating is a critical process in&nbsp;pharmaceutical manufacturing, directly&nbsp;impacting&nbsp;product quality and efficacy.<\/p>\n\n\n\n<p>Achieving&nbsp;uniform coating presents significant challenges, often leading to costly batch rejections and production inefficiencies. Non-uniform coating can result in visual defects or compromised performance, while excessive compressive forces during the process can damage tablets. Furthermore, suboptimal spray settings contribute to material waste and reduced production efficiency.<\/p>\n\n\n\n<p>To address these challenges, life sciences manufacturers are taking an innovative approach combining Discrete Element Method (DEM) simulation, Reduced Order Modeling (ROM)&nbsp;and AI-powered optimization.<\/p>\n\n\n\n<p>DEM allows for detailed analysis of particle movement,&nbsp;interactions&nbsp;and potential stress points within the coater. ROM enables significantly faster iterations and analysis without sacrificing accuracy.<\/p>\n\n\n\n<p>Finally, AI-powered optimization&nbsp;leverages&nbsp;the ROM to rapidly explore a vast&nbsp;parameter&nbsp;space for spray settings, improving coating uniformity and minimizing waste as well as preventing breakage and cosmetic damage.<\/p>\n\n\n\n<p><strong>Demonstrated benefits:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hundreds of virtual simulations&nbsp;completed&nbsp;in minutes&nbsp;instead of weeks<\/li>\n\n\n\n<li>Reduced&nbsp;waste<\/li>\n\n\n\n<li>Improved&nbsp;yield by minimizing broken tablets and ensuring consistent coating across batches<\/li>\n<\/ul>\n\n\n\n<p>What this means: This integrated solution offers a robust framework for achieving unparalleled precision and efficiency in tablet coating, so manufacturers can ensure superior product quality, reduce waste and optimize production processes.<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/e-book-ai-powered-engineering-use-cases\/\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about AI-powered engineering<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How AI is helping fan acoustic optimization and reducing design iterations by 90%<\/h2>\n\n\n\n<p>Optimizing&nbsp;fan acoustics involves predicting how a fan will sound before&nbsp;it&#8217;s&nbsp;built. By using geometric deep learning models and training them on vast amounts of computational fluid dynamics (CFD) simulations and real-world test data, engineers can rapidly forecast the acoustic behavior of different fan designs.<\/p>\n\n\n\n<p>This approach helps&nbsp;identify&nbsp;potential noise issues early in the development cycle, enabling design modifications&nbsp;for&nbsp;quieter, more efficient fans. Simulation technology moves beyond traditional trial-and-error methods and&nbsp;greatly reduces&nbsp;the high compute&nbsp;costs&nbsp;which can limit the number of design iterations that can be practically evaluated.<\/p>\n\n\n\n<p><strong>Making CFD simulation and AI become part of the fan design development process<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Trained model of acoustic performance using pre-existing CFD simulations and test data<\/li>\n\n\n\n<li>Generated a&nbsp;Simcenter&nbsp;PhysicsAI&nbsp;software model in minutes using prepared dataset<\/li>\n\n\n\n<li>Used trained models to estimate sound pressure level (SPL) and evaluate multiple fan designs in seconds<\/li>\n<\/ul>\n\n\n\n<p>This&nbsp;methodology&nbsp;moves beyond traditional trial-and-error while dramatically reducing computational costs, enabling engineers to explore larger design spaces and achieve superior acoustic performance.<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/e-book-ai-powered-engineering-use-cases\/\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about AI-powered engineering<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Same Deutz-Fahr: compressing agricultural equipment development time by 30% using model-based systems engineering<\/h2>\n\n\n\n<p>The agricultural industry is&nbsp;cyclical and&nbsp;dependent on changing environmental factors&nbsp;as well as&nbsp;farm income, changing interest&nbsp;rates&nbsp;and overall farm profitability.<\/p>\n\n\n\n<p>As a&nbsp;leading manufacturer of tractors,&nbsp;harvesters&nbsp;and diesel engines,&nbsp;Same Deutz-Fahr (SDF)&nbsp;understands that uncertainty in climate and harvest periods&nbsp;leads to&nbsp;customers\u2019&nbsp;hesitation in agricultural machinery investments.&nbsp;Their challenge was to drastically cut time-to-market, improve product price and performance and enhance lubrication system efficiency&nbsp;for tractors that must&nbsp;operate&nbsp;on 45\u00b0 inclines and in extreme dust.<\/p>\n\n\n\n<p><strong>With Simcenter Amesim, SDF&nbsp;is&nbsp;taking a&nbsp;model-based systems engineering and a front-load approach to compete in an ever-changing environment<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>30% compression&nbsp;of development cycle time<\/li>\n\n\n\n<li>Shifted testing approach&nbsp;from trial-and-error&nbsp;to validation only<\/li>\n\n\n\n<li>Improved system performance&nbsp;through&nbsp;optimizing parts definition<\/li>\n<\/ul>\n\n\n\n<p>By simulating worst-case field conditions, such as a 120\u00b0C oil temperature and clogged filters, engineers could optimize engine designs before physical testing, generating quality data and multi-criteria analysis quickly.<\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-sdf\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the&nbsp;full SDF case study.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Northrop Grumman: managing spacecraft development complexity through digital threads<\/h2>\n\n\n\n<p>Northrop Grumman&nbsp;develops&nbsp;spacecraft for&nbsp;missions ranging from low-earth orbit satellites to deep-space exploration. Dr. Tom Stoumbos, simulation and test leader&nbsp;at Northrop Grumman, leads a team of over 100 experts working on long-term projects requiring unprecedented levels of complexity management, data sharing among partners and performance validation.<\/p>\n\n\n\n<p><strong>Simcenter&nbsp;helps&nbsp;Northrop&nbsp;Grumman&nbsp;explore the digital realm&nbsp;and manage design constraints<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automated&nbsp;design space exploration process&nbsp;resulted&nbsp;in a&nbsp;30-50%&nbsp;reduction in analysis time<\/li>\n\n\n\n<li>Efficient parallel work and&nbsp;reusable&nbsp;space&nbsp;vehicle system models<\/li>\n\n\n\n<li>Excellent simulation accuracy&nbsp;using&nbsp;closed&nbsp;loop between analytical models and physical tests to achieve<\/li>\n<\/ul>\n\n\n\n<p>Part of the Siemens Xcelerator portfolio, Northrop Grumman also uses\u202fTeamcenter\u00ae Simulation software, to keep the digital thread running accurately throughout complex processes.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>Siemens has the vision and the suite of tools that allow us to move quickly into digitalization and advanced engineering simulation. We hope to continue to grow along with Siemens as&nbsp;a partner.<\/em><\/p>\n<\/blockquote>\n\n\n\n<p><em>Dr. Tom Stoumbos, Simulation &amp; Test leader, Northrop Grumman<\/em><\/p>\n\n\n\n<p><a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-northrop-grumman\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the&nbsp;full Northrop Grumman&nbsp;story.<\/a><\/p>\n\n\n\n<p>Across aerospace, automotive, pharmaceuticals and other industries, manufacturers using&nbsp;Simcenter&nbsp;are achieving 30-50% faster development, 50% fewer prototypes and 95%+ design accuracy. This proves that simulation-driven design is no longer optional but essential for competitive advantage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs about how Simcenter and engineering transformation can benefit companies<\/h2>\n\n\n\n<p><strong>1.&nbsp;What is a&nbsp;Digital&nbsp;Twin and how does it reduce physical prototyping?<\/strong><\/p>\n\n\n\n<p>A&nbsp;Digital&nbsp;Twin is a virtual replica of a physical product or system. Simcenter uses the&nbsp;Digital Twin&nbsp;to simulate real-world performance, allowing engineers to test and refine designs virtually. This significantly reduces the need for physical prototypes, saving time and resources by&nbsp;identifying&nbsp;and correcting issues in the digital&nbsp;world&nbsp;before any physical manufacturing begins.<\/p>\n\n\n\n<p><strong>2. <strong>How does AI-powered simulation differ from traditional CFD analysis?<\/strong><\/strong><\/p>\n\n\n\n<p>AI-powered simulation in Simcenter leverages machine learning to accelerate and optimize traditional CFD. Unlike conventional CFD, which relies on explicit numerical models, AI models can learn complex fluid behaviors from data, enabling faster predictions and exploring a wider design space. This reduces computational time and resources, making simulations more efficient and accessible for design optimization.<\/p>\n\n\n\n<p><strong>3. What ROI can manufacturers expect from simulation-driven design?<\/strong>&nbsp;<\/p>\n\n\n\n<p>ROI from simulation-driven design includes significant cost savings by reducing physical prototypes and rework. Faster time-to-market is achieved through accelerated design cycles and early issue detection. Improved product quality and performance lead to increased customer satisfaction and competitive advantage. Enhanced innovation is fostered by the ability to explore more design variations virtually, ultimately boosting&nbsp;profitability and market share.&nbsp;<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>In this webinar, Siemens product and sales experts\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/peterdeclerck\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Peter De Clerck<\/strong><\/a>\u00a0and\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/jonahn\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Jonah Normand<\/strong><\/a>\u00a0are joined by\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/monicaschnitger\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Monica Schnitger<\/strong><\/a>, President and Principal Analyst of Schnitger Corporation. Together, they discuss why simulation can no longer be just a specialized activity. Watch the recording to learn why simulation must develop into a shared, strategic capability to fasten and improve decision-making throughout the organization.<\/p>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:37% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"702\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1024x702.png\" alt=\"\" class=\"wp-image-74019 size-full\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1024x702.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-600x411.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-768x526.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-1536x1053.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-2048x1404.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/03\/Visual-landing-page_Webinar-900x617.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-medium-font-size\"><strong>Why engineering transformation is key to faster decisions across the organization<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/webinars.sw.siemens.com\/en-US\/why-engineering-transformation-is-key-to-faster-decisions\/\" target=\"_blank\" rel=\"noreferrer noopener\">Watch here<\/a><\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this webinar, Siemens product and sales experts\u00a0Peter De Clerck\u00a0and\u00a0Jonah Normand\u00a0are joined by\u00a0Monica Schnitger, President and Principal Analyst of Schnitger&#8230;<\/p>\n","protected":false},"author":12351,"featured_media":74830,"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":[1],"tags":[17720,64134,1823],"industry":[],"product":[],"coauthors":[17051],"class_list":["post-74821","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-sd25","tag-simcenter"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/05\/TAC_GBL_PRO_SD25_PREF_Blog.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/74821","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\/12351"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=74821"}],"version-history":[{"count":4,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/74821\/revisions"}],"predecessor-version":[{"id":74907,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/74821\/revisions\/74907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/74830"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=74821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=74821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=74821"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=74821"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=74821"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=74821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}