{"title":"为预测能源消耗建立车削工艺模型","authors":"Ilgar Abbasov, M. Suleymanov, Arastun Mammadov","doi":"10.4028/p-xb2rae","DOIUrl":null,"url":null,"abstract":"In this article, technological parameters such as cutting speed, feed rate and depth of cut and their relationships with average power are investigated and modelled using statistical design of experiments. This allows a quantitative and qualitative description of the relationship between average power and process parameters. The analytical knowledge gained from the tests provides the conditions for optimising the energy consumption of the turning process.","PeriodicalId":17714,"journal":{"name":"Key Engineering Materials","volume":"72 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling of Turning Process for Prediction of Energy Consumption\",\"authors\":\"Ilgar Abbasov, M. Suleymanov, Arastun Mammadov\",\"doi\":\"10.4028/p-xb2rae\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, technological parameters such as cutting speed, feed rate and depth of cut and their relationships with average power are investigated and modelled using statistical design of experiments. This allows a quantitative and qualitative description of the relationship between average power and process parameters. The analytical knowledge gained from the tests provides the conditions for optimising the energy consumption of the turning process.\",\"PeriodicalId\":17714,\"journal\":{\"name\":\"Key Engineering Materials\",\"volume\":\"72 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Key Engineering Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4028/p-xb2rae\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Key Engineering Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/p-xb2rae","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling of Turning Process for Prediction of Energy Consumption
In this article, technological parameters such as cutting speed, feed rate and depth of cut and their relationships with average power are investigated and modelled using statistical design of experiments. This allows a quantitative and qualitative description of the relationship between average power and process parameters. The analytical knowledge gained from the tests provides the conditions for optimising the energy consumption of the turning process.
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