{"id":7888,"date":"2026-03-12T10:48:05","date_gmt":"2026-03-12T14:48:05","guid":{"rendered":"https:\/\/spraysensors.tecnar.com\/unsupervised-process-window-identification-in-thermal-spray-operations-with-the-accurasprayhub\/"},"modified":"2026-03-12T10:48:05","modified_gmt":"2026-03-12T14:48:05","slug":"unsupervised-process-window-identification-in-thermal-spray-operations-with-the-accurasprayhub","status":"publish","type":"post","link":"https:\/\/spraysensors.tecnar.com\/fr\/unsupervised-process-window-identification-in-thermal-spray-operations-with-the-accurasprayhub\/","title":{"rendered":"Unsupervised Process Window Identification in Thermal Spray Operations with the AccurasprayHUB"},"content":{"rendered":"<p>Thermal spray practitioners have long struggled to define robust plume characteristics process windows\u2014combinations of particle temperature, velocity, and plume geometry that reliably yield acceptable coatings\u2014especially as powder characteristics, equipment wear, and ambient conditions evolve. The AccurasprayHUB addresses this challenge by unifying data capture, structuring, and analysis within a single platform. During an initial lab deployment, the Hub continuously collects summary statistics (mean temperature, velocity, and geometry) for each spray run and automatically enriches them with detailed metadata\u2014stand-off distance, gas and powder flow rates, powder batch IDs, gun maintenance records, and laboratory data when available. These per-run feature vectors are then subjected to density-based clustering to identify the natural \u201cnormal\u201d operating regimes without requiring explicit \u201cbad coating\u201d examples. From the resulting high-confidence clusters, the Hub derives multidimensional min\u2013max envelopes that define process windows tailored to specific powders and gun health states. By delivering reproducible data pipelines, transparent feature engineering, and modular analytics, the AccurasprayHUB not only accelerates the discovery of stable operating conditions\u2014but also bridges the longstanding divide between thermal spray experts and the machine learning community, paving the way for scalable, data-driven process control.<\/p>\n<p><a class=\"btn-tec black\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s11666-026-02188-4\" target=\"_blank\" rel=\"noopener\">Link to publication<\/a><\/p>\n<p>Key words:\u00a0data-driven control, DBSCAN clustering, HVOF thermal spray, process monitoring, process<br \/>\nwindow<\/p>\n<p><em><small>Originally published at\u00a0Journal of Thermal Spray Technology\u00a0(11 March 2026)<br \/>\nBy T. Garcin, A. Sabsabi, D. Georgaris, J. F. Henri, D. Lessard, W. Jibran, J. N. Robert, and A. Nadeau <\/small><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Thermal spray practitioners have long struggled to define robust plume characteristics process windows\u2014combinations of particle temperature, velocity, and plume geometry [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/spraysensors.tecnar.com\/fr\/unsupervised-process-window-identification-in-thermal-spray-operations-with-the-accurasprayhub\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":22,"featured_media":7894,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[66],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Unsupervised Process Window Identification in Thermal Spray Operations with the AccurasprayHUB - Tecnar Thermal Spray<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/spraysensors.tecnar.com\/fr\/unsupervised-process-window-identification-in-thermal-spray-operations-with-the-accurasprayhub\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Unsupervised Process Window Identification in Thermal Spray Operations with the AccurasprayHUB - 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