Tero Kaarlela , Tero Niemi , Tomi Pitkäaho , Jari Harjula
{"title":"改造可实现可持续性、工业 4.0 连接性和更高的可用性","authors":"Tero Kaarlela , Tero Niemi , Tomi Pitkäaho , Jari Harjula","doi":"10.1016/j.aime.2024.100146","DOIUrl":null,"url":null,"abstract":"<div><p>Retrofitting is a sustainable approach to improving the capabilities and extending the life of aging machine tools. Reusing the mechanical construction and replacing only the control electronics and software is a viable option to upgrade an aging machine tool to a cutting-edge level. During the last decades, the evolution of machine tools has focused on developing computer numerical control (CNC) rather than on mechanical construction. Retrofitting the CNC enables Industry 4.0 connectivity and improved usability sustainably, preserving finite raw material resources and reducing carbon emissions created during the casting process of heavy blank parts for physically large machine tools.</p><p>This publication presents methods to retrofit machine tools using open-source CNC software and a feasibility study after seven years of operation. Our study highlights retrofitting as more profitable than repairing an aging CNC and compares the sustainability of retrofitting or replacing the aging machine tool with a new unit. In conclusion, retrofitting enables sustainability, connectivity, and accuracy comparable to modern machine tools. Retrofitting also paves the way for using artificial intelligence to monitor and adapt to tool wear, chatter, and surface roughness.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912924000114/pdfft?md5=19e6b3c67119ec1343a8efb47ff495cb&pid=1-s2.0-S2666912924000114-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Retrofitting enables sustainability, Industry 4.0 connectivity, and improved usability\",\"authors\":\"Tero Kaarlela , Tero Niemi , Tomi Pitkäaho , Jari Harjula\",\"doi\":\"10.1016/j.aime.2024.100146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Retrofitting is a sustainable approach to improving the capabilities and extending the life of aging machine tools. Reusing the mechanical construction and replacing only the control electronics and software is a viable option to upgrade an aging machine tool to a cutting-edge level. During the last decades, the evolution of machine tools has focused on developing computer numerical control (CNC) rather than on mechanical construction. Retrofitting the CNC enables Industry 4.0 connectivity and improved usability sustainably, preserving finite raw material resources and reducing carbon emissions created during the casting process of heavy blank parts for physically large machine tools.</p><p>This publication presents methods to retrofit machine tools using open-source CNC software and a feasibility study after seven years of operation. Our study highlights retrofitting as more profitable than repairing an aging CNC and compares the sustainability of retrofitting or replacing the aging machine tool with a new unit. In conclusion, retrofitting enables sustainability, connectivity, and accuracy comparable to modern machine tools. Retrofitting also paves the way for using artificial intelligence to monitor and adapt to tool wear, chatter, and surface roughness.</p></div>\",\"PeriodicalId\":34573,\"journal\":{\"name\":\"Advances in Industrial and Manufacturing Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666912924000114/pdfft?md5=19e6b3c67119ec1343a8efb47ff495cb&pid=1-s2.0-S2666912924000114-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Industrial and Manufacturing Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666912924000114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Industrial and Manufacturing Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666912924000114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Retrofitting enables sustainability, Industry 4.0 connectivity, and improved usability
Retrofitting is a sustainable approach to improving the capabilities and extending the life of aging machine tools. Reusing the mechanical construction and replacing only the control electronics and software is a viable option to upgrade an aging machine tool to a cutting-edge level. During the last decades, the evolution of machine tools has focused on developing computer numerical control (CNC) rather than on mechanical construction. Retrofitting the CNC enables Industry 4.0 connectivity and improved usability sustainably, preserving finite raw material resources and reducing carbon emissions created during the casting process of heavy blank parts for physically large machine tools.
This publication presents methods to retrofit machine tools using open-source CNC software and a feasibility study after seven years of operation. Our study highlights retrofitting as more profitable than repairing an aging CNC and compares the sustainability of retrofitting or replacing the aging machine tool with a new unit. In conclusion, retrofitting enables sustainability, connectivity, and accuracy comparable to modern machine tools. Retrofitting also paves the way for using artificial intelligence to monitor and adapt to tool wear, chatter, and surface roughness.