{"id":8320,"date":"2026-06-15T16:08:26","date_gmt":"2026-06-15T20:08:26","guid":{"rendered":"https:\/\/spraysensors.tecnar.com\/development-and-validation-of-velocity-intensity-correlation-for-shot-peening-media-using-shotmeter-g3\/"},"modified":"2026-06-15T16:08:26","modified_gmt":"2026-06-15T20:08:26","slug":"development-and-validation-of-velocity-intensity-correlation-for-shot-peening-media-using-shotmeter-g3","status":"publish","type":"post","link":"https:\/\/spraysensors.tecnar.com\/fr\/development-and-validation-of-velocity-intensity-correlation-for-shot-peening-media-using-shotmeter-g3\/","title":{"rendered":"Development and Validation of Velocity-Intensity Correlation for Shot Peening Media Using Shotmeter G3"},"content":{"rendered":"

Repeatable and accurate shot peening results rely on closed-loop monitoring and control of critical process parameters. Fundamentally, the transfer of energy during shot peening can be summarized into a simple equation relating mass of the peening media and velocity of impact (1\/2 x mass x velocity2). Assuming that constant mass of peening media particles is maintained using a vibratory classifier and regular inspections, velocity becomes a key factor that will influence the intensity. Therefore, it becomes imperative that we understand the relationship better and possibly arrive at a desired level of predictability. Our research project identified three media sizes\/types, S-550, 1\/8\u201d steel balls and CCW-28 to study the relationship. This data-driven approach to corelate shot velocity with peening intensity was carried out using a robotic shot peening cell equipped with a Tecnar Shotmeter G3 and Photron FastCam. We derived polynomial and linear regression models to predict intensity from velocity measurements through a custom-developed application. Traditionally, intensity is calculated through a saturation curve that is generated by a minimum of four data points and then verified periodically, pre-process using Almen strips. This introduces delays and increases the possibility of variability. Our project addresses the need for real-time intensity estimation by leveraging velocity measurements from different types of sensors and correlating them to Almen intensity values.<\/p>\n

Link to publication<\/a><\/p>\n

Originally published at\u00a0The Shot Peener\u00a0(May 8, 2026)
\nBy Gioacchino Salvagio, Khaled Tlili, and Christopher Bousquet-Jett\u00e9<\/small><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Repeatable and accurate shot peening results rely on closed-loop monitoring and control of critical process parameters. Fundamentally, the transfer of […]<\/p>\n

Read More…<\/a><\/p>\n","protected":false},"author":22,"featured_media":8318,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[60],"tags":[],"class_list":["post-8320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-shotmeter-fr"],"acf":[],"yoast_head":"\nDevelopment and Validation of Velocity-Intensity Correlation for Shot Peening Media Using Shotmeter G3 - 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\/development-and-validation-of-velocity-intensity-correlation-for-shot-peening-media-using-shotmeter-g3\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Development and Validation of Velocity-Intensity Correlation for Shot Peening Media Using Shotmeter G3 - Tecnar Thermal Spray\" \/>\n<meta property=\"og:description\" content=\"Repeatable and accurate shot peening results rely on closed-loop monitoring and control of critical process parameters. 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