{"id":589,"date":"2024-11-08T14:19:28","date_gmt":"2024-11-08T19:19:28","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/?p=589"},"modified":"2026-03-26T14:55:15","modified_gmt":"2026-03-26T18:55:15","slug":"improve-durability-with-fatigue-simulation-analysis","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/2024\/11\/08\/improve-durability-with-fatigue-simulation-analysis\/","title":{"rendered":"Improve machine and component durability with strength and fatigue simulation analysis"},"content":{"rendered":"\n<p>Machine builders, OEMs and component manufacturers want to prevent fatigue failure, or at least guarantee a certain lifetime for their products.<\/p>\n\n\n\n<p>Fatigue assessments aim to inform engineers of the durability and strength of their products.<\/p>\n\n\n\n<p>A recent <a href=\"https:\/\/webinars.sw.siemens.com\/en-US\/strength-durability-simulation-analysis-industrial-machinery\" target=\"_blank\" rel=\"noreferrer noopener\">webinar presentation<\/a> from <a href=\"https:\/\/www.asml.com\/en\" target=\"_blank\" rel=\"noreferrer noopener\">ASML<\/a> and <a href=\"https:\/\/www.sw.siemens.com\/en-US\/\" target=\"_blank\" rel=\"noreferrer noopener\">Siemens Digital Industries Software<\/a> took a closer look at the importance of these tests and examined how engineers can integrate fatigue assessment directly into their design process.<\/p>\n\n\n\n<p><strong>Watch the webinar trailer:<\/strong><\/p>\n\n\n\n<!-- START: Parmonic embed-code for video -->\n<div data-v-id=\"trailer\/210939dd4c0c4ce2\" class=\"parmonic-widget\" data-layout=\"single\"><\/div>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-single.js\"><\/script>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-init.js\"><\/script>\n<!-- END: Parmonic embed-code for video -->\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\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\/strength-durability-simulation-analysis-industrial-machinery\" target=\"_blank\" rel=\"noreferrer noopener\">Watch the full webinar<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The value of fatigue simulation analysis for industrial machines<\/h2>\n\n\n\n<p>Industrial machines and their components must withstand high accelerations over numerous cycles. This causes a natural wear and tear on valuable manufacturing equipment.<\/p>\n\n\n\n<p>Fatigue assessments during the design process lead to more durable machines and components, and they can provide valuable insight for preventative maintenance during the product lifecycle.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/evaeggels\/\" target=\"_blank\" rel=\"noreferrer noopener\">Eva Eggels<\/a> of ASML opened up this webinar with an example of a lithography machine, an essential component in computer chip manufacturing.<\/p>\n\n\n\n<!-- START: Parmonic embed-code for video -->\n<div data-v-id=\"moment\/190210\" class=\"parmonic-widget\" data-layout=\"single\"><\/div>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-single.js\"><\/script>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-init.js\"><\/script>\n<!-- END: Parmonic embed-code for video -->\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Fatigue assessments traditionally involved complex processes with significant manual intervention, leading to inefficiencies and a high possibility for errors.<\/p>\n\n\n\n<p>Simulation software like <a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/simulation-test\/durability-simulation\/\" target=\"_blank\" rel=\"noopener\">Simcenter 3D Durability<\/a> offers a more streamlined solution by integrating fatigue assessment into the design process.<\/p>\n\n\n\n<p>This reduces the risk for errors and improves workflow efficiency by providing engineers with real-time insights into structural stresses.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Streamline fatigue simulation analysis with comprehensive workflows<\/h2>\n\n\n\n<p><a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/\" target=\"_blank\" rel=\"noopener\">Simcenter 3D<\/a> provides a comprehensive workflow that integrates finite element analysis with durability assessments, eliminating the need for manual data transfer between separate tools.<\/p>\n\n\n\n<p>This integration supports a more seamless analysis process where fatigue assessments are performed directly on stress data derived from FEM models.<\/p>\n\n\n\n<p>Engineers can visualize regions where stress loads are highest through intuitive color-coded outputs, making it easier to understand the stress impacts on designs.<\/p>\n\n\n\n<p>In this webinar clip, Eva Eggels compares the fatigue simulation analysis with and without Simcenter 3D.<\/p>\n\n\n\n<!-- START: Parmonic embed-code for video -->\n<div data-v-id=\"moment\/190219\" class=\"parmonic-widget\" data-layout=\"single\"><\/div>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-single.js\"><\/script>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-init.js\"><\/script>\n<!-- END: Parmonic embed-code for video -->\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The video above highlights the real-world benefits of integrating advanced simulation technologies into fatigue assessment.<\/p>\n\n\n\n<p>With a single tool, Simcenter 3D Durability, users can streamline processes and reduce the risk of errors.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Improve designs of you machines and components with fatigue simulation analysis<\/h2>\n\n\n\n<p>The ability to perform direct fatigue assessments with the digital twin allows for a more streamlined process where critical regions can be easily identified and analyzed.<\/p>\n\n\n\n<p>This provides valuable insights into potential design improvements, ultimately contributing to more reliable and robust machines and components.<\/p>\n\n\n\n<p>In the next webinar clip, <a href=\"https:\/\/www.linkedin.com\/in\/michael-hack-2078b854\/\" target=\"_blank\" rel=\"noopener\">Dr. Michael Hack<\/a> of Siemens Digital Industries Software shows users how to simulate and analyze multiple different scenarios.<\/p>\n\n\n\n<!-- START: Parmonic embed-code for video -->\n<div data-v-id=\"moment\/190222\" class=\"parmonic-widget\" data-layout=\"single\"><\/div>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-single.js\"><\/script>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-init.js\"><\/script>\n<!-- END: Parmonic embed-code for video -->\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Additionally, template-based solver intelligence within Simcenter 3D further enhances this process by allowing expert-defined templates that ensure robustness and repeatability in analyses across different projects.<\/p>\n\n\n\n<p>This capability not only improves the quality of fatigue assessments but also empowers engineers to make informed design adjustments early in the process.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The role of virtual sensors and their placement in fatigue simulation analysis<\/h2>\n\n\n\n<p>An integral part of enhancing fatigue analysis is the use of smart virtual sensors.<\/p>\n\n\n\n<p>This approach allows engineers to predict and analyze operational loads more accurately by strategically placing virtual sensors.<\/p>\n\n\n\n<p>These sensors simulate real-world conditions and provide critical data that informs the fatigue assessment process.<\/p>\n\n\n\n<p>In this webinar clip, Dr. Michael Hack shows users how Simcenter 3D strategically places these sensors.<\/p>\n\n\n\n<!-- START: Parmonic embed-code for video -->\n<div data-v-id=\"moment\/190234\" class=\"parmonic-widget\" data-layout=\"single\"><\/div>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-single.js\"><\/script>\n<script defer src=\"https:\/\/js.static.parmonic.ai\/v5\/aw-init.js\"><\/script>\n<!-- END: Parmonic embed-code for video -->\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Optimal sensor placement ensures data collection is both efficient and comprehensive, covering all potential stress points in a design.<\/p>\n\n\n\n<p>This methodology not only improves the accuracy of fatigue predictions but also supports predictive maintenance strategies by providing insights into when and where potential failures might occur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion: More durable machines and components with fatigue simulation analysis<\/h2>\n\n\n\n<p>Integrating fatigue assessment into the design workflow represents a significant advancement in machine and component engineering.<\/p>\n\n\n\n<p>By providing a comprehensive and streamlined approach to fatigue simulation analysis, this tool empowers engineers to make informed decisions that enhance the safety and reliability of their designs.<\/p>\n\n\n\n<p>As machine engineering continues to evolve, embracing these technologies will be crucial for maintaining competitive advantages and ensuring the longevity of products.<\/p>\n\n\n\n<p>Watch the full webinar and go in-depth with into how these tools can transform your engineering processes.<\/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\/strength-durability-simulation-analysis-industrial-machinery\" target=\"_blank\" rel=\"noreferrer noopener\">Watch the full webinar now<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Machine builders, OEMs and component manufacturers want to prevent fatigue failure, or at least guarantee a certain lifetime for their&#8230;<\/p>\n","protected":false},"author":79498,"featured_media":594,"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":[12,1],"tags":[491,313,505,473],"industry":[14,13],"product":[255],"coauthors":[311],"class_list":["post-589","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-webinar","category-news","tag-advanced-machine-engineering","tag-industrial-machinery","tag-simulation","tag-webinar","industry-industrial-machinery","industry-industrial-machinery-heavy-equipment","product-simcenter-3d"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/28\/2024\/11\/900.001_Image_WBNR_DurabilityandPredictiveMaintenance_1920x1080.jpg","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/posts\/589","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/users\/79498"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/comments?post=589"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/posts\/589\/revisions"}],"predecessor-version":[{"id":595,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/posts\/589\/revisions\/595"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/media\/594"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/media?parent=589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/categories?post=589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/tags?post=589"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/industry?post=589"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/product?post=589"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/wp-json\/wp\/v2\/coauthors?post=589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}