{"id":73243,"date":"2024-11-17T06:00:00","date_gmt":"2024-11-17T14:00:00","guid":{"rendered":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/?p=73243"},"modified":"2024-11-18T08:30:01","modified_gmt":"2024-11-18T16:30:01","slug":"process-monitoring-the-missing-link-in-industrial-additive-manufacturing","status":"publish","type":"post","link":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/process-monitoring-the-missing-link-in-industrial-additive-manufacturing\/","title":{"rendered":"Process Monitoring Data: The Missing Link in Industrial Additive Manufacturing"},"content":{"rendered":"\n<p><em>Integrating process monitoring data into the design workflow, as demonstrated by AI startup Euler on the Autodesk Fusion platform, enhances additive manufacturing with real-time defect detection, failure prediction, and actionable insights, bridging the gap between design and manufacturing for practical, manufacturable designs.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"2160\" style=\"aspect-ratio: 3456 \/ 2160;\" width=\"3456\" controls src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/eulerVideo.mp4\"><\/video><\/figure>\n\n\n\n<p><a href=\"http:\/\/www.euler3d.com\/\">Euler<\/a>, an Iceland-based AI startup, specializes in computer vision and anomaly detection for sensor data in additive manufacturing. Founded by leading scientists in optical device calibration and industrial process monitoring, Euler is revolutionizing quality and reliability in additive manufacturing by integrating sensor data directly into the CAD system.<\/p>\n\n\n\n<p>The Euler Cloud platform, a SaaS tool, seamlessly gathers camera data from a variety of laser powder bed fusion (LPBF) and <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/what-is-selective-laser-sintering-sls\/\">selective laser sintering (SLS)<\/a> machines. Thus offering real-time analysis with minimal onboarding requirements. Key features include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Detection of common process defects<\/strong>: Identifies spatter, recoater issues, burn marks, streaking, smoke, warpage, and inadequate powder distribution.<br><\/li>\n\n\n\n<li><strong>Real-time failure prediction<\/strong>: Anticipates potential process failures, triggering in-process mitigation actions as needed.<br><\/li>\n\n\n\n<li><strong>Data filtering for actionable insights<\/strong>: Convert massive amounts of data and noisy signals into reportable process boundaries, enabling supervision without the need for specialized expertise.<br><\/li>\n\n\n\n<li><strong>Scalability across multiple systems<\/strong>: System-to-System comparisons offer an analytical approach to industrial-scale additive manufacturing for the first time ever.<\/li>\n<\/ul>\n\n\n\n<p>Euler\u2019s approach is unique. Instead of adding expensive, specialized monitoring equipment, it leverages existing optical systems and AI algorithms to analyze underutilized data from standard processes.<\/p>\n\n\n\n<?php\nfunction autodesk_fusion_all_access_cta_horizontal_alt() {\n    ob_start();\n    ?>\n    <style>\n        .cta-section-horizontal-alt {\n            background: linear-gradient(135deg, #f5f5f5, #e0e0e0); \/* Soft gradient for subtle depth *\/\n            padding: 25px; \/* Increased padding for more emphasis *\/\n            border-radius: 8px; \/* Rounded corners for a modern look *\/\n            box-shadow: 0 6px 12px rgba(0, 0, 0, 0.1); \/* Slightly bolder shadow *\/\n            display: flex;\n            align-items: center;\n            justify-content: space-between;\n            max-width: 700px;\n            margin: 30px auto;\n            flex-wrap: nowrap;\n            gap: 10px;\n        }\n\n        .cta-text-alt {\n            flex: 1;\n            margin-right: 20px;\n            font-size: 16px;\n            color: #333333;\n        }\n\n        .cta-title-alt {\n            font-size: 20px; \/* Slightly larger title font *\/\n            font-weight: bold;\n            color: #000000; \/* Black for strong contrast *\/\n            margin-bottom: 8px; \/* Space between title and text *\/\n        }\n\n        .cta-buttons {\n            display: flex;\n            gap: 10px;\n        }\n\n        .cta-button-alt {\n            padding: 12px 24px; \/* Larger button for emphasis *\/\n            font-size: 14px;\n            font-weight: bold;\n            text-transform: uppercase;\n            border-radius: 6px; \/* Slightly rounded button *\/\n            border: none;\n            cursor: pointer;\n            transition: all 0.3s ease;\n            background-color: #ff4d4d; \/* Bold red for visibility *\/\n            color: #ffffff;\n            text-decoration: none !important;\n            white-space: nowrap;\n            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); \/* Shadow for button depth *\/\n        }\n\n        .cta-button-alt:hover {\n            background-color: #ffffff; \/* White background on hover *\/\n            color: #ff4d4d; \/* Red text on hover *\/\n            border: 2px solid #ff4d4d; \/* Red border on hover *\/\n        }\n\n        .cta-button-grey {\n            background-color: #a0a0a0; \/* Lighter grey button *\/\n            color: #ffffff;\n            padding: 12px 24px;\n            font-size: 14px;\n            font-weight: bold;\n            text-transform: uppercase;\n            border-radius: 6px;\n            border: none;\n            cursor: pointer;\n            transition: all 0.3s ease;\n            text-decoration: none !important;\n            white-space: nowrap;\n            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);\n        }\n\n        .cta-button-grey:hover {\n            background-color: #ffffff;\n            color: #a0a0a0;\n            border: 2px solid #a0a0a0;\n        }\n    <\/style>\n\n    <div class=\"cta-section-horizontal-alt\">\n        <div class=\"cta-text-alt\">\n            <div class=\"cta-title-alt\">Full-access Fusion Trial<\/div>\n            Unlock all of Fusion&#8217;s advanced features and functionality &#8211; free for 30 days.\n        <\/div>\n        <div class=\"cta-buttons\">\n            <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/trial-intake-flow\" class=\"cta-button-alt\">Start Free Trial<\/a>\n            <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/extensions\" class=\"cta-button-grey\">Plans and Pricing<\/a>\n        <\/div>\n    <\/div>\n\n    <?php\n    return ob_get_clean();\n}\nadd_shortcode('autodesk_fusion_all_access_cta_horizontal_alt', 'autodesk_fusion_all_access_cta_horizontal_alt');\n?>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"real-world-experience-in-the-autodesk-technology-center-boston\">Real world experience in the Autodesk Technology Center Boston<\/h3>\n\n<?xml encoding=\"utf-8\" ?><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=\"Autodesk Technology Center implements metal 3D printing to improve customer workflow\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/W4AkyWH9IJY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen style=\"aspect-ratio:500 \/ 281;width:100%;height:auto;\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Autodesk has been an early beta tester of Euler over the last months on our own <a href=\"https:\/\/www.renishaw.com\/en\/renam-500q--48429\">Renishaw RenAM500Q<\/a> system in the <a href=\"https:\/\/www.autodesk.com\/technology-centers\">Boston Technology Center<\/a>. The direct onboarding process is easy and seamlessly connected the machine to the Euler Cloud platform.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"2104\" style=\"aspect-ratio: 3346 \/ 2104;\" width=\"3346\" controls src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/euler-spatter.mp4\"><\/video><figcaption class=\"wp-element-caption\">Periodic defects in a print job analyzed by Euler.<\/figcaption><\/figure>\n\n\n\n<p>Even in the short testing period, our machine operators found incredible value in the AI insights that Euler autonomously provides for all print jobs. A specific example to highlight is a periodic fluctuation of spatters that directly revealed a machine hardware defect. And might have been undetected for some time, leading to insufficient part quality. <\/p>\n\n\n\n<p>Manually inspecting several thousand camera images per job is a very difficult and tiring task, and even very experienced engineers will struggle to come up with reliable and repeatable results. Euler and AI Automation will transform how standardized Quality Control is applied in Additive Manufacturing.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"process-monitoring-data-integration-in-the-autodesk-fusion-app-ecosystem\">Process monitoring data integration in the Autodesk Fusion App ecosystem<\/h3>\n\n\n<p>Now available as a native Autodesk Fusion App, Euler has developed an incredible solution that seamlessly incorporates optical data into the upstream design process, complete with automated analytics and failure visualization.<\/p>\n\n\n\n<p>As a cloud-native <a href=\"https:\/\/www.bing.com\/rebates\/welcome?url=https%3a%2f%2fwww.autodesk.com%2fsolutions%2fcad-cam&amp;murl=https%3a%2f%2fwww.jdoqocy.com%2fclick-100357191-10282382%3furl%3dhttps%253a%252f%252fwww.autodesk.com%252fsolutions%252fcad-cam%26afsrc%3d1%26SID%3d&amp;id=autodesk&amp;name=autodesk&amp;ra=7%&amp;hash=8cfde7eb2cb19453d057726c10d879bfcc0067620d16efc4b6587c893ff78a53&amp;network=CJ\">CAD\/CAM<\/a> environment with top-tier additive manufacturing capabilities, <a href=\"https:\/\/www.autodesk.com\/solutions\/cad-cam\">Autodesk Fusion<\/a> enables the Euler app to merge Fusion\u2019s versioned, granular data management with real-time sensor data recorded on the printing device. The result is a direct data feed back into the 3D canvas within the CAD environment. This creates a fully integrated process chain from CAD design through preparation and post-processing. This closed-loop setup supports rapid iteration in industrial part production.<\/p>\n\n\n\n<p>With Autodesk Fusion\u2019s affordability and user-friendly design, it\u2019s an ideal platform for scaling additive manufacturing expertise across an organization.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/EulerVideoFinal.mp4\"><\/video><\/figure>\n\n\n\n<p>Integrating process monitoring data bridges the communication gap between design and manufacturing teams. By fostering a shared understanding of process capabilities and limitations, it ensures that designs are both practical and manufacturable. Ultimately this reduces the risk of misalignment between departments.<\/p>\n\n\n\n<p>Leveraging accessible sensor data with AI is a transformative trend across industries. Autodesk is proud to be the first CAD\/CAM platform to harness this technology for a mass-market audience.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"formnext-2024\">FormNext 2024<\/h4>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"641\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-1024x641.jpg\" alt=\"\" class=\"wp-image-73363\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-1024x641.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-300x188.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-768x481.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-1536x962.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1-1092x684.jpg 1092w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/11\/F-1.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>If you\u2019re attending <a href=\"https:\/\/formnext.mesago.com\/frankfurt\/en\/expo-convention\/visitor-information.html\">FormNext 2024<\/a> in Frankfurt, Germany, visit us for the world premiere of this integration at either the<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Autodesk Booth, Hall 11.0 B51<\/li>\n\n\n\n<li>Euler Booth, Hall 11.0 F29<\/li>\n<\/ul>\n\n\n\n<p>Or learn more on <a href=\"https:\/\/www.euler3d.com\">https:\/\/www.euler3d.com<\/a>.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Integrating process monitoring data into the design workflow, as demonstrated by AI startup Euler on the Autodesk Fusion platform, enhances additive manufacturing with real-time defect detection, failure prediction, and actionable insights, bridging the gap between design and manufacturing for practical, manufacturable designs. Euler, an Iceland-based AI startup, specializes in computer vision and anomaly detection for [&hellip;]<\/p>\n","protected":false},"author":5309,"featured_media":73619,"menu_order":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[480],"tags":[73,254,474,566,567,143,565,569,570],"coauthors":[],"class_list":["post-73243","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-manufacturing","tag-3d-printing","tag-additive-manufacturing","tag-ai","tag-computer-vision","tag-machine-learning","tag-manufacturing","tag-process-monitoring","tag-quality","tag-quality-assurance","dhig-theme--light"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Process Monitoring Data: The Missing Link in Industrial Additive Manufacturing - 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