{"id":26643,"date":"2021-05-21T05:39:07","date_gmt":"2021-05-21T09:39:07","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=26643"},"modified":"2026-03-26T06:19:38","modified_gmt":"2026-03-26T10:19:38","slug":"intelligent-design-exploration-and-cfd-engineering-better-than-nature","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/intelligent-design-exploration-and-cfd-engineering-better-than-nature\/","title":{"rendered":"Intelligent Design Exploration and CFD- engineering better than nature"},"content":{"rendered":"\n<p>This year we have all become much more aware of the role of evolution in nature. In fact,&nbsp;we are locked in&nbsp;race against&nbsp;a virus which appears to be evolving&nbsp;rapidly&nbsp;before our eyes. The headlines are filled with&nbsp;daily&nbsp;warnings of new variants of the Coronavirus. And meanwhile the world battles&nbsp;to keep infections under control.&nbsp;<\/p>\n\n\n\n<p>But if you take a closer look, in fact, the mechanism by which nature produces variants of the virus is rather simple.&nbsp;The virus sets each cell which becomes&nbsp;host to work making copies of the proteins required to create new viral particles.&nbsp;The virus enters the cell with a single copy of its&nbsp;genome.&nbsp;Within a few days,&nbsp;the cell&nbsp;will be&nbsp;full with&nbsp;several hundred to a thousand new&nbsp;copies of the virus.&nbsp;<\/p>\n\n\n\n<p>But due to errors in the RNA\/DNA replication,&nbsp;few to none of these new viruses are likely to contain an exact copy of the viral genome.&nbsp;On&nbsp;average there is an an error in every 10,000 \u2013 100,000 bases. The entire&nbsp;Coronavirus genome is&nbsp;~30,000 bases&nbsp;long.&nbsp;Given&nbsp;the number of infections recorded, nature must have&nbsp;already introduced to upwards of 100 million billion different versions of the&nbsp;virus to the world&nbsp;(give or take a few million billion).&nbsp;This is maybe not the smartest way &#8211; it&#8217;s even based on random errors &#8211; but it is design exploration on a huge scale!&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/support\/videos\/5400\/8cf69115-2601-4a6c-87a3-eb1dc5f151ad-en-US-video.mp4\"><\/video><figcaption>Nature comes up with 100 million billion different versions of a virus through errors in the genome copying process. Maybe not the smartest strategy &#8211; but design exploration at scale<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Can we copy nature?&nbsp;Shall we copy nature?<\/h2>\n\n\n\n<p>So,&nbsp;nature&nbsp;is developing new prototypes and testing them out. Much as we do&nbsp;on a smaller scale with our own engineering projects.&nbsp;Back in the&nbsp;1960s,&nbsp;researchers&nbsp;were hopeful&nbsp;that&nbsp;mimicking&nbsp;this&nbsp;natural selection&nbsp;could be the key to automating&nbsp;industrial&nbsp;design processes.&nbsp;With a&nbsp;typical engineering problem having far fewer&nbsp;free parameters than a viral genome, it&nbsp;seemed plausible.&nbsp;<\/p>\n\n\n\n<p>But there is a&nbsp;problem. Inherent to the biological process of evolution is a reliance on being able to generate a&nbsp;vast&nbsp;number of genetically diverse offspring from which the most fit will pass on their genes.&nbsp;But&nbsp;human engineers don\u2019t have the time or&nbsp;resources&nbsp;to investigate anywhere near the number of designs&nbsp;that nature is testing!&nbsp;That&#8217;s why design exploration is not enough. <em>Intelligent <\/em>design exploration is what we need. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Enter: Intelligent Design Exploration&nbsp;<\/h2>\n\n\n\n<p>Thankfully,&nbsp;research into optimization and search algorithms has continued undeterred&nbsp;over the past 70-odd years.&nbsp;Technology available today goes far beyond what is possible using genetic theory.&nbsp;With a plethora of&nbsp;highly sophisticated optimization approaches&nbsp;in use&nbsp;engineers have a powerful set of tools in their hand\u2013 yet each with their own strengths and weaknesses.&nbsp;&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/from-design-exploration-to-design-thinking-in-100s-of-simulations\/\" target=\"_blank\" rel=\"noreferrer noopener\">Intelligent Design Exploration\u00a0in\u00a0Simcenter\u00a0STAR-CCM+<\/a>\u00a0makes\u00a0optimization a\u00a0realistic\u00a0technology\u00a0for engineers\u00a0by\u00a0simultaneously\u00a0employing\u00a0multiple search strategies (including genetic algorithms)\u00a0while exploring\u00a0designs.\u00a0It intelligently blends between the different strategies. By this means it ensures that it tackles each design space using the most efficient method\u00a0available.\u00a0Simcenter STAR-CCM+ does all of this behind the scenes, leaving the\u00a0engineer free for, well, more engineering.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Design Exploration | Snippet Simcenter STAR-CCM+ #SimcenterCFD #HowToSimcenterSTARCCM\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/eGBPmQzxCgQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>It is now&nbsp;routine&nbsp;to&nbsp;solve complex design problems in weeks and even days that were completely infeasible before.&nbsp;&nbsp;I\u2019d like to share with you a couple of recent examples&nbsp;which demonstrate how far this technology has&nbsp;evolved.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The importance of keeping&nbsp;your car clean&nbsp;<\/h2>\n\n\n\n<p>Over the last decade we have seen an explosion in the number and type of sensors in our cars.&nbsp;Ensuring correct and continuous function of these sensors in all weather&nbsp;conditions&nbsp;and driving environments is&nbsp;critically important. Especially with the emergence of autonomous vehicles.&nbsp;<\/p>\n\n\n\n<p>Volvo Cars and Siemens recently undertook a study to see how Intelligent Design Exploration could help to&nbsp;mitigate soiling of a camera lens mounted beneath a car sideview mirror.&nbsp;The engineers simulated water&nbsp;accumulation and motion on the side view mirror using a fluid film model in conjunction with steady state aerodynamics&nbsp;CFD. They defined 11 different design parameters controlling different parts of the&nbsp;car\u2019s bodywork.&nbsp;Based on that they explored the design space with the objective of reducing the average fluid film thickness accumulated on the camera lens.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/1c3cb279-890d-43e5-8bc1-b61224b92b5b-en-US-video.mp4\"><\/video><figcaption>This is fascinating example of how Intelligent Design Exploration&nbsp;can accelerate innovation. Rather than a human engineer&nbsp;waiting for each simulation to run,&nbsp;analyzing&nbsp;results and making&nbsp;a&nbsp;(difficult)&nbsp;decision about how to improve the design, the automated process&nbsp;explored 180 designs over a period of just 3 days&nbsp;using 320 cores on an HPC cluster.&nbsp;<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/7e2db30f-3138-4da0-a8fd-5e9c47dc6456-en-US-video.mp4\"><\/video><figcaption>Even more impressive are the results:&nbsp;Intelligent design exploration resulted in a 26% reduction in fluid film thickness compared to the initial design&nbsp;as well as finding&nbsp;15 designs that&nbsp;showed at least a&nbsp;20% reduction.&nbsp;<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Reducing aircraft fuel consumption&nbsp;<\/h2>\n\n\n\n<p>We all know that&nbsp;an aircraft must have guaranteed performance over the full envelope of flight conditions. The most beautifully optimized design at one angle of attack might perform terribly at another. This means&nbsp;that&nbsp;designers must look at performance across many different operating conditions for each design candidate.&nbsp;<\/p>\n\n\n\n<p>My second example&nbsp;shows how aerospace&nbsp;engineers used Intelligent Design Exploration. Here they use the technology to refine the design of an engine nacelle on the Eclipse business jet.&nbsp;<a href=\"https:\/\/www.plm.automation.siemens.com\/global\/en\/webinar\/aerodynamics-performance\/88519\" target=\"_blank\" rel=\"noreferrer noopener\">See this webinar for more information<\/a>.&nbsp;In&nbsp;this&nbsp;case the aircraft had over 20 operating conditions for which performance had to be guaranteed. A detailed analysis&nbsp;of these&nbsp;allowed us&nbsp;to reduce the list&nbsp;down to 5&nbsp;cases representing&nbsp;the most extreme&nbsp;conditions.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/05\/image.png\" src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/7fe3189a-065a-44fb-ba1a-f0e275c60075-en-US-video.mp4\"><\/video><\/figure>\n\n\n\n<p>Eight&nbsp;different design parameters control the nacelle surface, orientation and mounting on the fuselage. The engineers analyzed each nacelle design&nbsp;at 5 operating conditions. The objectives were&nbsp;to&nbsp;minimize&nbsp;drag and maximize&nbsp;engine inlet pressure recovery for all operating conditions. At the same time meeting performance requirements for&nbsp;the&nbsp;inlet flow uniformity.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>The results of this study were stunning. After&nbsp;fewer&nbsp;than 60 design iterations, we were able to improve all 15 objectives with an&nbsp;improvement of 14% reduction in drag at cruise, the most critical objective in the problem.&nbsp;&nbsp;This was achieved&nbsp;while satisfying the flow uniformity requirements for all 5 operating conditions.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The future is bright &#8211; bright as Intelligent Design exploration<\/h2>\n\n\n\n<p>Over the past few years, Intelligent Design Exploration&nbsp;has&nbsp;become more and more mainstream. Today, it is no longer the reserve of the \u2018special projects team\u2019 or the&nbsp;\u2018algorithm guy\u2019. The two examples we have explored in this blog show two things. Firstly, that&nbsp;a combination of&nbsp;simulation and&nbsp;Intelligent Design&nbsp;Exploration can&nbsp;have a huge impact on product&nbsp;performance. Secondly, it&nbsp;can&nbsp;massively&nbsp;accelerate the development process,&nbsp;ultimately giving&nbsp;design teams the opportunity to develop&nbsp;more innovative products.&nbsp;<\/p>\n\n\n\n<p>I\u2019m reassured by this evidence that&nbsp;science,&nbsp;technology&nbsp;and intelligence&nbsp;can find solutions more quickly than nature&nbsp;will. And I hope you are too. By making decisions based on&nbsp;measured&nbsp;data, testing&nbsp;those decisions and refining based on real-world performance,&nbsp;we stand an excellent chance in the face of the very real challenges that humanity will continue to encounter!&nbsp;<\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-background has-medium-font-size\" style=\"background-color:#009999\"><a href=\"https:\/\/www.plm.automation.siemens.com\/global\/en\/webinar\/multiphysics-cfd-analysis\/71782\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>For more information watch our Webinar &#8220;Make good designs great: How simulating hundreds of designs with CFD helps innovation&#8221;<\/strong><\/a><\/p>\n\n\n\n<p class=\"has-white-color has-text-color has-background has-medium-font-size\" style=\"background-color:#009999\"><a href=\"https:\/\/siemens.highspot.com\/items\/5ebf059ca2e3a93616330ad8?lfrm=ssrp.7\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>For the DX capabilities at a glance download our factsheet on Design Exploration in Simcenter STAR-CCM+<\/strong><\/a><\/p>\n\n\n\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intelligent Design Exploration is a key technology to unlock the full power of computer aided engineering. And even CFD is no longer an exception to this.<\/p>\n","protected":false},"author":16662,"featured_media":26872,"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":[123,184],"tags":[242],"industry":[],"product":[513],"coauthors":[4280],"class_list":["post-26643","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-spotlight-on","category-webinar","tag-computational-fluid-dynamics-cfd","product-simcenter-star-ccm"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/05\/Intelligent-Design-Exploration-CFD-Teaser.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/26643","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\/16662"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=26643"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/26643\/revisions"}],"predecessor-version":[{"id":31284,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/26643\/revisions\/31284"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/26872"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=26643"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=26643"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=26643"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=26643"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=26643"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=26643"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}