{"id":13724,"date":"2026-05-18T06:46:47","date_gmt":"2026-05-17T22:46:47","guid":{"rendered":"https:\/\/www.style3d.com\/blog\/?p=13724"},"modified":"2026-05-18T06:46:48","modified_gmt":"2026-05-17T22:46:48","slug":"how-can-scientific-fabric-simulation-revolutionize-global-fashion","status":"publish","type":"post","link":"https:\/\/www.style3d.com\/blog\/how-can-scientific-fabric-simulation-revolutionize-global-fashion\/","title":{"rendered":"How Can Scientific Fabric Simulation Revolutionize Global Fashion?"},"content":{"rendered":"<div id=\"model-response-message-contentr_d27cd440a3952912\" class=\"markdown markdown-main-panel stronger enable-updated-hr-color\" dir=\"ltr\" aria-live=\"polite\" aria-busy=\"false\">\n<p data-path-to-node=\"2\">Scientific fabric simulation revolutionizes fashion by replacing physical prototyping with hyper-realistic digital models that accurately predict fabric drape, stretch, weight, and deformation. Utilizing advanced AI and physics-based rendering, apparel brands completely skip multiple rounds of physical sampling. This dramatic reduction in material waste and development timelines cuts overhead costs while directly driving global apparel sustainability.<\/p>\n<h2 data-path-to-node=\"3\">What Is Scientific Fabric Simulation in Modern Fashion Tech?<\/h2>\n<p data-path-to-node=\"4\">Scientific fabric simulation is the process of using advanced algorithms and physics-based data to replicate the exact real-world behavior of textiles in a virtual environment. Unlike traditional 3D graphics that focus purely on visual aesthetics, scientific simulation models the structural mechanics of a textile at a microscopic or thread level. This includes mathematically calculating how a material reacts to gravity, friction, tension, and body movement.<\/p>\n<p data-path-to-node=\"5\">In early 2026, the fashion tech landscape shifted from general AI experimentation to the adoption of highly specialized tools that solve concrete physical sampling problems. Modern engines leverage vast material libraries to ensure that digital prototypes behave identically to their future physical counterparts. This technological evolution allows design teams to evaluate the fit, silhouette, and movement of complex garments virtually before cutting an inch of material.<\/p>\n<p data-path-to-node=\"6\">The core parameters tracked during this scientific modeling process include:<\/p>\n<ul data-path-to-node=\"7\">\n<li>\n<p data-path-to-node=\"7,0,0\"><b data-path-to-node=\"7,0,0\" data-index-in-node=\"0\">Drape and Shear:<\/b> How the fabric folds, clusters, and falls over a 3D avatar.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,1,0\"><b data-path-to-node=\"7,1,0\" data-index-in-node=\"0\">Stretch and Elasticity:<\/b> The material\u2019s resistance to elongation and its recovery rate.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,2,0\"><b data-path-to-node=\"7,2,0\" data-index-in-node=\"0\">Weight and Thickness:<\/b> The physical density of the textile, which influences kinetic momentum during movement.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,3,0\"><b data-path-to-node=\"7,3,0\" data-index-in-node=\"0\">Deformation and Stress:<\/b> Visual maps indicating where a garment is too tight, loose, or strained.<\/p>\n<\/li>\n<\/ul>\n<h2 data-path-to-node=\"8\">How Does Style3D Fabric Predict Textile Behavior Accurately?<\/h2>\n<p data-path-to-node=\"9\">Style3D Fabric achieves its industry-leading accuracy by combining data-driven AI algorithms with physical textile testing measurements. The platform utilizes a specialized testing kit to capture the precise mechanical properties of a physical fabric sample. This data is then processed by a proprietary graphics engine to construct an authentic digital twin capable of rendering real-time, multi-layer simulations.<\/p>\n<p data-path-to-node=\"10\">The software addresses complex physical properties that standard CAD systems historically failed to capture. By utilizing GPU-accelerated computing, the platform provides instantaneous visual and mechanical feedback as patterns are modified. This approach enables the software to accurately simulate multi-layered garments, complex stitching lines, and detailed structural elements like pleats, gathers, or heavy insulation.<\/p>\n<h3 data-path-to-node=\"11\">The Material Calibration Process<\/h3>\n<p data-path-to-node=\"12\">To transform raw textiles into production-ready digital assets, the platform evaluates materials across specific operational phases:<\/p>\n<table data-path-to-node=\"13\">\n<thead>\n<tr>\n<td><strong>Calibration Phase<\/strong><\/td>\n<td><strong>Measured Textile Metric<\/strong><\/td>\n<td><strong>Operational Result in Software<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"13,1,0,0\"><b data-path-to-node=\"13,1,0,0\" data-index-in-node=\"0\">Mechanical Extraction<\/b><\/span><\/td>\n<td><span data-path-to-node=\"13,1,1,0\">Tensile strain, bending stiffness, weight, and surface friction<\/span><\/td>\n<td><span data-path-to-node=\"13,1,2,0\">Establishes the core physical properties of the material<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"13,2,0,0\"><b data-path-to-node=\"13,2,0,0\" data-index-in-node=\"0\">AI Data Synthesis<\/b><\/span><\/td>\n<td><span data-path-to-node=\"13,2,1,0\">Neural network mapping against millions of existing fabric scans<\/span><\/td>\n<td><span data-path-to-node=\"13,2,2,0\">Predicts micro-movements and multi-layer fabric friction<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"13,3,0,0\"><b data-path-to-node=\"13,3,0,0\" data-index-in-node=\"0\">Real-Time Rendering<\/b><\/span><\/td>\n<td><span data-path-to-node=\"13,3,1,0\">GPU-accelerated physics calculations at 60 frames per second<\/span><\/td>\n<td><span data-path-to-node=\"13,3,2,0\">Delivers dynamic drape views during avatar movement<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-path-to-node=\"14\">Why Is Physical Prototype Reduction Crucial for Apparel Sustainability?<\/h2>\n<p data-path-to-node=\"15\">Physical prototype reduction is critical because the traditional design phase is historically one of the most wasteful steps in the fashion supply chain. Standard garment development typically demands multiple rounds of physical samples shipped across global offices for fit adjustments. This iterative sampling cycle generates substantial textile waste, consumes excessive energy, and produces greenhouse gas emissions during international transit.<\/p>\n<p data-path-to-node=\"16\">By transitioning to high-fidelity digital models, apparel brands can reduce their physical sample requirements by up to 90%. This direct elimination of prototype production keeps surplus materials out of landfills and minimizes the water and chemical consumption associated with dye testing. Furthermore, digital iteration prevents the over-ordering of raw materials, aligning product development directly with circular economy principles.<\/p>\n<p data-path-to-node=\"17\">In addition to resource conservation, digital prototyping introduces structural efficiencies into corporate sustainability audits. Virtual material libraries allow design teams to run lifecycle assessments (LCA) early in the ideation phase. Brands can test how a recycled polyester or a bio-based elastane will drape and stretch across different garment sizes, ensuring that sustainable alternatives meet rigorous performance standards prior to manufacturing.<\/p>\n<h2 data-path-to-node=\"18\">Which Eco-Friendly Textiles Benefit Most from Digital Modeling?<\/h2>\n<p data-path-to-node=\"19\">Eco-friendly textiles benefit immensely from digital modeling due to their unique, often unpredictable mechanical properties. Recycled fibers, organic cotton blends, and novel bio-based synthetics frequently possess different tensile strengths and drape profiles compared to traditional virgin materials. Digital platforms allow engineers to isolate and analyze these structural variations without wasting expensive physical components.<\/p>\n<p data-path-to-node=\"20\">The following eco-friendly textile categories receive the highest optimization from advanced physics engines:<\/p>\n<ul data-path-to-node=\"21\">\n<li>\n<p data-path-to-node=\"21,0,0\"><b data-path-to-node=\"21,0,0\" data-index-in-node=\"0\">Recycled Polyester (rPET):<\/b> Simulations evaluate the moisture-wicking capabilities and structural durability of recycled yarns under tension.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"21,1,0\"><b data-path-to-node=\"21,1,0\" data-index-in-node=\"0\">Bio-Based Elastanes:<\/b> Algorithmic testing analyzes elasticity and stress recovery to prevent premature sagging in high-performance activewear.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"21,2,0\"><b data-path-to-node=\"21,2,0\" data-index-in-node=\"0\">Tencel and Lyocell Blends:<\/b> Digital tools precisely capture the fluid, ultra-soft drape profiles of these cellulosic fibers, preventing pattern distortion.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"21,3,0\"><b data-path-to-node=\"21,3,0\" data-index-in-node=\"0\">Organic Cotton and Hemp:<\/b> Engines track how natural irregularities in organic yarns impact the overall weight and structural deformation of a garment.<\/p>\n<\/li>\n<\/ul>\n<h2 data-path-to-node=\"22\">How Do High-Fidelity Digital Models Impact Corporate Cost Savings?<\/h2>\n<p data-path-to-node=\"23\">High-fidelity digital models generate massive corporate cost savings by condensing product development timelines and slashing physical production costs. Traditionally, a single physical sample can cost a brand hundreds of dollars when accounting for specialized pattern making, material shipping, and manual labor. When a design requires four or five revisions, the development costs for an individual style multiply rapidly.<\/p>\n<p data-path-to-node=\"24\">By adopting end-to-end digital workflows, enterprises can compress design-to-production timelines from several weeks down to a matter of days. This agility dramatically decreases time-to-market, enabling brands to react quickly to shifting consumer demands without maintaining bloated inventory volumes.<\/p>\n<div class=\"code-block ng-tns-c2714810560-27 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\" data-hveid=\"0\" data-ved=\"0CAAQhtANahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQlQE\">\n<div class=\"formatted-code-block-internal-container ng-tns-c2714810560-27\">\n<div class=\"animated-opacity ng-tns-c2714810560-27\">\n<pre class=\"ng-tns-c2714810560-27\"><code class=\"code-container formatted ng-tns-c2714810560-27 no-decoration-radius\" role=\"text\" data-test-id=\"code-content\">Traditional Workflow:\r\n[Design Sketch] -&gt; [Physical Pattern] -&gt; [Cut &amp; Sew Sample 1] -&gt; [Global Shipping] -&gt; [Fit Approval\/Rejection] -&gt; [Repeat 3-5x] \r\nTime: 4\u20136 Weeks | Cost: High Material Waste\r\n\r\nDigital Workflow:\r\n[Design Sketch] -&gt; [Digital Pattern] -&gt; [Scientific Fabric Simulation] -&gt; [Virtual Fit Approval] -&gt; [Production Twin]\r\nTime: 24\u201348 Hours | Cost: 90% Less Waste\r\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p data-path-to-node=\"26\">The financial return on investment manifests clearly across several core operational sectors:<\/p>\n<ul data-path-to-node=\"27\">\n<li>\n<p data-path-to-node=\"27,0,0\"><b data-path-to-node=\"27,0,0\" data-index-in-node=\"0\">Logistics Expenses:<\/b> Eliminates the international courier fees required to transport physical fit samples between manufacturing hubs and design studios.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"27,1,0\"><b data-path-to-node=\"27,1,0\" data-index-in-node=\"0\">Material Overhead:<\/b> Reduces fabric consumption during the sampling stage, resulting in significant savings on premium or sustainable textiles.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"27,2,0\"><b data-path-to-node=\"27,2,0\" data-index-in-node=\"0\">Markdowns and Deadstock:<\/b> Virtual fit optimization ensures accurate production grading across all size variations, lowering post-purchase retail return rates.<\/p>\n<\/li>\n<\/ul>\n<h2 data-path-to-node=\"28\">Style3D Expert Views<\/h2>\n<blockquote data-path-to-node=\"29\">\n<p data-path-to-node=\"29,0\">&#8220;The true integration of AI and physics-based graphics engines shifts technology from a conceptual design tool into a precise framework for the global supply chain. By accurately digitizing the physical behavior of eco-friendly textiles, fashion brands can confidently execute key merchandising decisions in a completely virtual environment. This approach removes the reliance on multiple physical prototypes, dramatically lowering product development costs while establishing an efficient, waste-free pathway from initial product ideation straight to the factory floor.&#8221;<\/p>\n<\/blockquote>\n<h2 data-path-to-node=\"30\">Why Do Companies Pay a 30% Premium for Digital Design Specialists?<\/h2>\n<p data-path-to-node=\"31\">Companies pay up to a 30% salary premium for digital design specialists because these professionals possess the technical expertise required to unlock massive corporate cost savings. A designer who is highly proficient in specialized simulation software can bypass several rounds of physical sampling. This capability translates directly into lower material overhead, reduced transport costs, and compressed production calendars.<\/p>\n<p data-path-to-node=\"32\">%-functional capability optimizes factory execution, minimizes manufacturing errors, and makes these specialists indispensable assets to modern apparel enterprises.<\/p>\n<h2 data-path-to-node=\"33\">How Does Advanced AI Upgrade Traditional Pattern Grading Workflows?<\/h2>\n<p data-path-to-node=\"34\">Advanced AI upgrades traditional pattern grading workflows by automating the scaling of garments across diverse body shapes while maintaining the design&#8217;s original intent. Historically, pattern grading was a manual, rule-based process that often failed to account for how fabric physics alter as a garment expands or shrinks. AI systems dynamically recalculate how tension, stretch, and weight distribute across various sizing profiles.<\/p>\n<p data-path-to-node=\"35\">When combined with an adaptive avatar system, the AI can simulate real-time stress and deformation maps across an entire size run simultaneously. If a specific eco-friendly textile stretches excessively at the chest on a size XL but binds at the shoulders on a size Small, the software flags these fit anomalies instantly. Designers can correct pattern lines inside the application, ensuring fit consistency across all sizes without generating single-sample prototypes.<\/p>\n<h2 data-path-to-node=\"36\">When Will Scientific Fabric Simulation Completely Replace Physical Sampling?<\/h2>\n<p data-path-to-node=\"37\">Scientific fabric simulation is on track to replace the vast majority of physical sampling by the end of the decade, with leading digital-first brands already achieving a 90% reduction in prototype creation. Complete replacement relies on the continuous integration of AI-driven material libraries and the widespread adoption of unified digital workflows across global factories. As supplier networks become fully optimized for digital patterns, the requirement for physical look-and-feel samples will disappear.<\/p>\n<p data-path-to-node=\"38\">The industry is currently in an implementation phase where physical samples are reserved exclusively for final quality assurance audits before manufacturing begins. However, as physics engines achieve a near 99% accuracy match with real-world fabrics, even final production sign-offs are transitioning to digital twins. This shift is accelerated by shifting consumer preferences and international environmental regulations that reward companies with low-waste, digital-first supply chains.<\/p>\n<h2 data-path-to-node=\"39\">Conclusion<\/h2>\n<p data-path-to-node=\"40\">The era of scientific fabric simulation marks a definitive shift from visual experimentation to physical validation within the fashion tech landscape. By deploying platforms like Style3D Fabric, apparel brands can precisely model the drape, stretch, and deformation of sustainable textiles, eliminating multiple rounds of wasteful physical prototyping. This digital transformation compresses development timelines, minimizes material waste, and directly enhances corporate profitability.<\/p>\n<p data-path-to-node=\"41\">For fashion enterprises looking to remain competitive, the directive is clear: invest in advanced material digitization tools, establish comprehensive virtual material libraries, and upskill design teams. Cultivating these digital competencies allows brands to achieve meaningful sustainability goals while realizing substantial development cost savings.<\/p>\n<h2 data-path-to-node=\"42\">FAQs<\/h2>\n<p data-path-to-node=\"43\">What is the primary difference between standard 3D rendering and scientific fabric simulation?<\/p>\n<p data-path-to-node=\"44\">Standard 3D rendering focuses primarily on the surface aesthetics and visual appearance of a garment for marketing or design presentation. Scientific fabric simulation incorporates real-world mechanical data\u2014such as shear, tensile strength, weight, and bending stiffness\u2014to accurately predict how a textile moves, stretches, and deforms in response to real-world physics.<\/p>\n<p data-path-to-node=\"45\">Can scientific fabric simulation tools accurately predict the behavior of stiff or highly structured materials?<\/p>\n<p data-path-to-node=\"46\">Yes. Advanced physics engines utilize detailed mechanical measurements to simulate a wide spectrum of material types, ranging from fluid silks to highly structured wools, heavy denim, and complex multi-layered activewear composites.<\/p>\n<p data-path-to-node=\"47\">How does virtual prototyping help apparel brands comply with international sustainability regulations?<\/p>\n<p data-path-to-node=\"48\">Virtual prototyping supports regulatory compliance by significantly reducing textile waste, eliminating unnecessary transport emissions, and providing clear digital twins that track fabric specifications early in the development lifecycle.<\/p>\n<p data-path-to-node=\"49\">Do digital fashion design tools require specialized hardware to run simulations?<\/p>\n<p data-path-to-node=\"50\">Modern scientific simulation platforms rely on GPU-accelerated computing to execute real-time physics calculations. While cloud-based rendering solutions are available, design teams typically utilize workstations equipped with dedicated graphics cards to ensure fluid, high-fidelity interactive workflows.<\/p>\n<h2 data-path-to-node=\"51\">Sources<\/h2>\n<ol start=\"1\" data-path-to-node=\"52\">\n<li>\n<p data-path-to-node=\"52,0,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/what-are-the-latest-innovations-in-garment-rendering-technology-for-2026\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQlgE\">Style3D Blog \u2013 What Are the Latest Innovations in Garment Rendering Technology for 2026?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,1,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.google.com\/search?q=https:\/\/www.style3d.ai\/blog\/2026-fashion-tech-trends-why-digital-material-libraries-are-now-mandatory\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQlwE\">Style3D AI \u2013 2026 Fashion Tech Trends: Why Digital Material Libraries Are Now Mandatory<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,2,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/what-are-3d-designs-and-how-are-they-transforming-fashion-in-2025\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQmAE\">Style3D Blog \u2013 3D Designs Transforming Fashion in 2026: Ultimate Guide<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,3,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/the-2026-fashion-tech-roadmap-implementing-digital-sampling-in-your-brand\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQmQE\">Style3D \u2013 The 2026 Fashion Tech Roadmap: Implementing Digital Sampling in Your Brand<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,4,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/what-is-3d-moda-and-how-does-it-transform-fashion-design-with-style3d\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQmgE\">Style3D Blog \u2013 What Is 3D Moda and How Does It Transform Fashion Design with Style3D?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,5,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/how-can-digital-fashion-solutions-transform-home-textile-design\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQmwE\">Style3D Blog \u2013 How Can Digital Fashion Solutions Transform Home Textile Design?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,6,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/is-eco-friendly-pattern-testing-changing-sportswear-production\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQnAE\">Style3D Blog \u2013 Is Eco-Friendly Pattern Testing Changing Sportswear Production?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,7,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/what-are-3d-designer-jobs-and-how-do-they-impact-fashion-careers\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQnQE\">Style3D Blog \u2013 What Are 3D Designer Jobs and How Do They Impact Fashion Careers?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,8,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.style3d.com\/blog\/is-an-online-dress-designing-course-the-key-to-your-3d-career\/\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQngE\">Style3D Blog \u2013 Is An Online Dress Designing Course the Key to Your 3D Career?<\/a><\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"52,9,0\"><a class=\"ng-star-inserted\" href=\"https:\/\/www.ziprecruiter.com\/Salaries\/3D-Fashion-Designer-Salary\" target=\"_blank\" rel=\"noopener\" data-hveid=\"0\" data-ved=\"0CAAQ_4QMahgKEwjPubTOw8CUAxUAAAAAHQAAAAAQnwE\">ZipRecruiter \u2013 3D Fashion Designer Salary Comparison by Location<\/a><\/p>\n<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Scientific fabric simulation revolutionizes fashion by  &#8230; <a title=\"How Can Scientific Fabric Simulation Revolutionize Global Fashion?\" class=\"read-more\" href=\"https:\/\/www.style3d.com\/blog\/how-can-scientific-fabric-simulation-revolutionize-global-fashion\/\" aria-label=\"Read more about How Can Scientific Fabric Simulation Revolutionize Global Fashion?\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[3],"tags":[],"ppma_author":[12],"class_list":["post-13724","post","type-post","status-publish","format-standard","hentry","category-knowledge"],"acf":[],"aioseo_notices":[],"jetpack_featured_media_url":"","uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Admin","author_link":"https:\/\/www.style3d.com\/blog\/author\/chenyanru\/"},"uagb_comment_info":0,"uagb_excerpt":"Scientific fabric simulation revolutionizes fashion by &hellip;","authors":[{"term_id":12,"user_id":2,"is_guest":0,"slug":"chenyanru","display_name":"Admin","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/4b77b73fca62a068aafee094c255d1c18e0a3ff2691834fc899ee68d06aadbb4?s=96&d=mm&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/13724","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/comments?post=13724"}],"version-history":[{"count":1,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/13724\/revisions"}],"predecessor-version":[{"id":13727,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/posts\/13724\/revisions\/13727"}],"wp:attachment":[{"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/media?parent=13724"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/categories?post=13724"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/tags?post=13724"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.style3d.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=13724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}