{"id":15368,"date":"2020-06-05T11:16:59","date_gmt":"2020-06-05T15:16:59","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=15368"},"modified":"2026-03-26T06:20:07","modified_gmt":"2026-03-26T10:20:07","slug":"combustion-simulation-a-cyclists-guide-to-clean-air-with-simcenter-star-ccm-reacting-flow-adaptive-mesh-refinement-amr","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/combustion-simulation-a-cyclists-guide-to-clean-air-with-simcenter-star-ccm-reacting-flow-adaptive-mesh-refinement-amr\/","title":{"rendered":"Combustion simulation &#8211; A cyclist&#8217;s guide to clean air with adaptive mesh refinement"},"content":{"rendered":"\n<p>While combustion simulation is my profession, cycling is my passion. Taking my daily exercise cycling through London, last week, the eery quiet contrasts massively with what I am used to. Take a look at the lock-down difference between Oxford Circus, the famous London shopping mecca:<\/p>\n\n\n\n<figure class=\"wp-block-gallery columns-2 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-1024x683.jpg\" alt=\"\" data-id=\"15513\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=15513\" class=\"wp-image-15513\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-1024x683.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-600x400.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-768x512.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-1536x1024.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-2048x1365.jpg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/GettyImages-609700638-1110x740.jpg 1110w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"426\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-600x426.jpg\" alt=\"\" data-id=\"15561\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-scaled.jpg\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=15561\" class=\"wp-image-15561\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-600x426.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-1024x728.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-768x546.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-1536x1091.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-2048x1455.jpg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/OxfordStreetEmpty-1110x789.jpg 1110w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure><\/li><\/ul><figcaption>Comparing oxford street before the lockdown on the left to after on the right.<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>Cycling has become a great way to take exercise during these difficult times! Beautiful sights, no traffic and clean air! These last two are direct consequences of the lock-down we are currently undergoing in London.<\/p>\n\n\n\n<p>Thinking about \u2018clean air\u2019 one of the emissions that is important to me as a cyclist is Nitrogen Dioxide and Nitrogen oxides (NOx). NOx has been shown to cause respiratory issues and, suffering from severe asthma, a drop in NOx means a faster and easier cycle!<\/p>\n\n\n\n<figure class=\"wp-block-gallery aligncenter columns-1 wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"359\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1-1024x359.png\" alt=\"\" data-id=\"15373\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1.png\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=15373\" class=\"wp-image-15373\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1-1024x359.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1-600x210.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1-768x269.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1-1110x389.png 1110w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/press_conference_TFL_Data-1.png 1182w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"650\" height=\"372\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/Fig5.png\" alt=\"\" data-id=\"15379\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/Fig5.png\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=15379\" class=\"wp-image-15379\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/Fig5.png 650w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/Fig5-600x343.png 600w\" sizes=\"auto, (max-width: 650px) 100vw, 650px\" \/><\/figure><\/li><\/ul><figcaption>Transport use change (Great Britain): The top graph shows the change in transport and the bottom shows measured and estimated business as usual NOx concentrations by site in London. The numbers show the percentage change in concentration relative to business as usual. [1] [2]<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>I looked at \u2018lock-down\u2019 stats for the UK and motor vehicle use in the UK has dropped 40%. This  is leading to almost a 40% reduction in the value of NOx concentrations in London. No wonder I am beating my best cycling time on Strava!<\/p>\n\n\n\n<p>Keeping up these  dramatic environmental improvements when the restrictions are removed is tricky! To decide where we can reduce NOx, I wanted to look at where it is produced in the UK.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sources of NOx in the UK<\/h2>\n\n\n\n<p>In the UK one of our major sources of emissions is from power generation, where our UK power strategy is generally to use natural gas as a reliable source of energy bridging the gap before renewable can occur.It is roughly the same as that of road-transport at the moment.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/noxEmissionsUK.png\" alt=\"NOx emissions in kilotonnes.\" class=\"wp-image-15384\" width=\"577\" height=\"314\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/noxEmissionsUK.png 769w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/noxEmissionsUK-600x326.png 600w\" sizes=\"auto, (max-width: 577px) 100vw, 577px\" \/><figcaption>NOx emissions in kilotonnes in the UK by source from 1970 to 2020. [3]<\/figcaption><\/figure><\/div>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>I often cycle through the gorgeous Lee Valley Park which is next to the Enfield Power Station which uses a combined gas cycle turbine.  I started thinking to myself (or hoping to myself) that maybe my poor cycling times on Strava aren&#8217;t related to my fitness but are actually due to the NOx emissions! <\/p>\n\n\n\n<p>In search of the best time I thought I could help by using Simcenter STAR-CCM+ to carry out some combustion simulation and look at how we can reduce the NOx coming from this gas turbine!  <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Clean air with Gas Turbine combustion simulation: what\u2019s so tricky about it?<\/h2>\n\n\n\n<p>I started my investigation by wanting to understand why it is so tricky to get our Gas Turbine NOx values lower. So I used combustion simulation to investigate.  Power generation from natural gas in the combustion chamber looks like this:<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/d6d7b714-5fc2-47ac-8a45-9d6a7c2f6586-en-US-video.mp4\"><\/video><figcaption>Visualization of the flame front in an industrial gas turbine. <\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>This is the definition of chaos for me! The flame constantly moving backwards and forwards with pockets detaching on and off. It&#8217;s clear why it\u2019s so tricky! I wanted to investigate how this chaotic behavior influenced our NOx predictions.<\/p>\n\n\n\n<p>My chemistry studies from University a long time ago tell me that thermal NOx is exponentially dependent on temperature. I knew this from the Arrhenius equations. So, I started by looking at the temperature field of this gas turbine:<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/55a40d6a-7639-431e-98af-7c77d0f6ee20-en-US-video.mp4\"><\/video><figcaption>Temperature in an industrial gas turbine<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>Immediately I noticed hot pockets of temperature detaching from the flame. These hot pockets of gas are where the NOx is produced in great amounts since the temperature is too high. To truly make improvements to my gas turbine and understand how to get clean air I needed a solution to get this kind of detailed resolution of these hot pockets without my colleagues complaining about my cluster usage!<\/p>\n\n\n\n<p>I also needed this detailed resolution because we measure NOx in parts per million (ppm)! Amazingly, a gas turbine can be as low as 10 ppm for NOx. To put this in context, tracking one part per million is equivalent to finding one specific granule of sugar among 273 sugar cubes.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Combustion simulation adapting for clean air in Gas Turbines \u2013 Reacting Flow model specific AMR<\/h2>\n\n\n\n<p>Early this year my colleague <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/whistle-while-you-mesh-simcenter-star-ccm-model-driven-adaptive-mesh-refinement-amr\/\">Ritu wrote<\/a> about the \u2018grand challenge problems\u2019. She was talking about the computational hurdles she found when taking on these. I was most interested in this hurdle:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Capturing the relevant flow features of varying length scales requires refinement zones that quickly escalate the cell count.<\/p><\/blockquote>\n\n\n\n<p>So, when I naively started out trying to capture NOx that\u2019s exactly the problem I encountered. The cell count was \u2018escalating\u2019 quickly whenever I tried to capture these hot pockets and resolve these low values! I tried to use volume refinement shapes but this manually intensive process quickly became frustrating since the flame was so chaotic.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"640\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements-1024x640.png\" alt=\"Volume Refinement Zones for a combustion simulation. of a furnace.\" class=\"wp-image-15410\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements-1024x640.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements-600x375.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements-768x480.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements-1110x694.png 1110w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/burner_refinements.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Typical volume refinement boxes shown in dark blue, light blue, green and red required for a relatively simple burner.<\/figcaption><\/figure><\/div>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>In the 2020.2 release of Simcenter STAR-CCM+ we are building on the 2020.1 capabilities of Adaptive Mesh Refinement (AMR) and including a Reacting Flow mesh adaption model. We designed this to hurdle over these computational issues for our combustion simulations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Starting small<\/h2>\n\n\n\n<p>I first tried this out on a furnace and a simple model combustor before I moved onto my \u2018grand challenge\u2019 problem. I started out with these two smaller problems because I knew in the past that I had to run these cases with an excessive amount of mesh.<\/p>\n\n\n\n<p>Firing up Simcenter STAR-CCM+ 2020.2 on my workstation (remotely), I loaded in my old sim files. First, I cleared the mesh refinements I had made to attempt to capture the flame shape previously. In <strong>just 5 clicks<\/strong> I had the new AMR model enabled and then just one click more to press the run button. The results speak for themselves:<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/ac0706aa-db79-4ec8-ae6a-3a89af3fba36-en-US-video.mp4\"><\/video><figcaption>A bluff body combustor demonstrating the new Reacting Flow model specific AMR feature.<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/ae13ae93-bba0-431c-b903-9a1ca3fa303d-en-US-video.mp4\"><\/video><figcaption>A furnace demonstrating the new Reacting Flow model specific AMR feature.<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>The adaption captures the flame perfectly and it is immediately apparent the reduction in mesh and run-time. Looking at the mesh count reduction we see:<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td class=\"has-text-align-center\" data-align=\"center\"><p><strong>Mesh Count Reduction<\/strong><\/p><\/td><\/tr><tr><td><p><strong>Furnace<\/strong><\/p><\/td><td class=\"has-text-align-center\" data-align=\"center\"><p>5x<\/p><\/td><\/tr><tr><td><p><strong>Combustor<\/strong><\/p><\/td><td class=\"has-text-align-center\" data-align=\"center\"><p>4x<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>AMR driven by the Reacting Flow model allowed me to start with a coarse mesh and then automatically and intelligently refine the cells in the region of the reacting flame front. The result is a sharp resolution of the flame front with far fewer cells, while at the same time delivering a significant speed-up.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>With the 2020.2 release of Simcenter STAR-CCM+, I put my flame front refinement worries behind me and sat back to watch the adaption getting my clean air!<\/p><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">Clean Air, Clean Turbine!<\/h2>\n\n\n\n<p>Having tried this out on these simple test cases I wanted to try this out on my gas turbine. Comparing my fine mesh on the right-hand side with the adapted mesh, the difference in cell count is obvious! This was a big time saving for me! I then immediately went on a new cycle ride in the Lee Valley!<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/c169f9d4-59dc-470f-9b81-74f97ae1f29e-en-US-video.mp4\"><\/video><figcaption>Adaptive mesh approach to capturing the flame front for our gas turbine.<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"375\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal-600x375.png\" alt=\"A standard detailed mesh used for industrial gas turbine combustion simulation.\" class=\"wp-image-15388\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal-600x375.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal-1024x640.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal-768x480.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal-1110x694.png 1110w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/mesh_normal.png 1280w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><figcaption>Static mesh originally used in previous versions of Simcenter STAR-CCM+. <\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p>The adaptive mesh captures  hot pockets of temperatures perfectly. My NOx emission results with AMR compared very favorably with experimental results.<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td><p><strong>Experiment<\/strong><\/p><\/td><td><p><strong>CFD<\/strong><\/p><\/td><\/tr><tr><td><p><strong>NOx (ppmv)<\/strong><\/p><\/td><td><p>5<\/p><\/td><td><p>13<\/p><\/td><\/tr><\/tbody><\/table><figcaption>Comparision of NOx for the gas turbine discussed in this blog. <\/figcaption><\/figure>\n\n\n\n<p>I can now help to minimise NOx production in gas turbines. This will improve this &#8216;bridging technique&#8217; before we move entirely to renewable energy in the UK. Using Simcenter STAR-CCM+ capabilities for <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/from-design-exploration-to-design-thinking-in-100s-of-simulations\/\">design exploration<\/a> we can drive this value even further down without worrying about meshing!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">References:<\/h2>\n\n\n\n<p>[1] Slides, datasets and transcripts to accompany coronavirus press conferences, Prime Minister&#8217;s Office, 10 Downing Street, <a href=\"https:\/\/www.gov.uk\/government\/collections\/slides-and-datasets-to-accompany-coronavirus-press-conferences\" target=\"_blank\" rel=\"noopener\">https:\/\/www.gov.uk\/government\/collections\/slides-and-datasets-to-accompany-coronavirus-press-conferences<\/a><\/p>\n\n\n\n<p>[2] Ricardo: an analysis of Covid-19 lockdown on UK local air pollution, David Carslaw <a href=\"https:\/\/airqualitynews.com\/2020\/03\/31\/ricardo-an-analysis-of-covid-19-lockdown-on-uk-local-air-pollution\/\" target=\"_blank\" rel=\"noopener\">https:\/\/airqualitynews.com\/2020\/03\/31\/ricardo-an-analysis-of-covid-19-lockdown-on-uk-local-air-pollution\/<\/a><\/p>\n\n\n\n<p>[3] Nitrogen Dioxide in the United Kingdom, Air Quality Expert Group, <a href=\"https:\/\/uk-air.defra.gov.uk\/assets\/documents\/reports\/aqeg\/nd-summary.pdf\" target=\"_blank\" rel=\"noopener\">https:\/\/uk-air.defra.gov.uk\/assets\/documents\/reports\/aqeg\/nd-summary.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>While combustion simulation is my profession, cycling is my passion. Taking my daily exercise cycling through London, last week, the&#8230;<\/p>\n","protected":false},"author":9255,"featured_media":16001,"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":[1,179],"tags":[242],"industry":[150,155],"product":[513],"coauthors":[17592],"class_list":["post-15368","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-product-updates","tag-computational-fluid-dynamics-cfd","industry-energy-utilities","industry-industrial-machinery-heavy-equipment","product-simcenter-star-ccm"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/06\/AMR.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/15368","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\/9255"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=15368"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/15368\/revisions"}],"predecessor-version":[{"id":19828,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/15368\/revisions\/19828"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/16001"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=15368"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=15368"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=15368"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=15368"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=15368"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=15368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}