Fractal approach to EDM surface quality assessment of robot workpieces

Fractal approach to EDM surface quality assessment of robot workpieces | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Fractal approach to EDM surface quality assessment of robot workpieces Sergey Grigoriev, Dmitriy Masterenko, Chen Li, Alexandr Anisimov, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6440542/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Electrical discharge machining (EDM) is intended for machining products from difficult-to-machine materials for robotics, as well as shipbuilding, aviation, where increased requirements are set on materials. The surface texture of products after EDM differs from traditional cutting methods. Therefore, surface quality analysis requires additional evaluation parameters. This paper proposes an assessment with a fractal analysis, which well describes tribological and adhesion properties that are the most important for robot workpieces. Heat-resistant steel specimens were machined using a full factorial experiment of modes. The specimen profiles were measured in the longitudinal and transverse machining directions. Spectral analysis of roughness was carried out using the accumulated spectral power. It was found that the roughness is mainly formed by spatial frequencies within 0.05 µm -1 . It is confirmed that the arithmetic mean height Ra increases with increasing discharge current. The calculation of fractal dimensionality by area-scale method was performed. The fractal-like properties of profiles were found in the scale range of 20–500 µm, and the pulse current affects both Ra and fractal dimension. The pulse duration affects the height roughness parameters, but does not affect the fractal dimension of the surface. The results provide useful information on the improvement of surface quality during EDM. electrical discharge machining roughness fractal dimension power spectral density area-scale method Full Text Supplementary Files Graphicalabstract.png Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6440542","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":450776980,"identity":"65d8ff89-3733-46af-8536-1ce6bb8b1c37","order_by":0,"name":"Sergey Grigoriev","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Sergey","middleName":"","lastName":"Grigoriev","suffix":""},{"id":450776981,"identity":"57690c3d-4e46-4cdf-92b9-43a586f4e214","order_by":1,"name":"Dmitriy 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The surface texture of products after EDM differs from traditional cutting methods. Therefore, surface quality analysis requires additional evaluation parameters. This paper proposes an assessment with a fractal analysis, which well describes tribological and adhesion properties that are the most important for robot workpieces. Heat-resistant steel specimens were machined using a full factorial experiment of modes. The specimen profiles were measured in the longitudinal and transverse machining directions. Spectral analysis of roughness was carried out using the accumulated spectral power. It was found that the roughness is mainly formed by spatial frequencies within 0.05 \u0026micro;m\u003csup\u003e-1\u003c/sup\u003e. It is confirmed that the arithmetic mean height \u003cem\u003eRa\u003c/em\u003e increases with increasing discharge current. The calculation of fractal dimensionality by area-scale method was performed. The fractal-like properties of profiles were found in the scale range of 20\u0026ndash;500 \u0026micro;m, and the pulse current affects both \u003cem\u003eRa\u003c/em\u003e and fractal dimension. The pulse duration affects the height roughness parameters, but does not affect the fractal dimension of the surface. 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