{"title":"使用可扩展脉冲功率等离子体 TiSiN 和 AlTiN 涂层刀具对超级双相不锈钢(AISI 2507)进行钻孔性能分析,并通过田口-模糊法优化加工参数","authors":"Prajwal Agrawal, Shivam Kenche, T Sampath Kumar","doi":"10.1177/09544089241270849","DOIUrl":null,"url":null,"abstract":"In recent years, super duplex stainless steel (SDSS) has gained a lot of importance due to its strength and excellent resistance to corrosion cracking for applications in marine and chemical processing industries, etc. In spite of various progress in the field, the drilling of SDSS leads to the formation of chips that are very strong and abrasive, which makes it challenging to have proper drilling. To overcome this issue by utilizing suitable parameters such as drill bit coating, environmental conditions and parameters for drilling. The SDSS machining output results were compared for both dry and minimum quantity lubrication (MQL) conditions using coated and uncoated drill bits. A scalable pulse power plasma (S3P) technique was utilized to deposit the titanium silicon nitride (TiSiN) and aluminum titanium nitride (AlTiN) coatings on solid carbide drill bits. In the experiments, three levels of drilling parameters have been chosen, including spindle speed (550, 700, 850 rpm), feed rate (0.035, 0.045, 0.060 m/min), and drill bit types. The experiment was designed using Taguchi's orthogonal L9 array. The influence of machining parameters such as cutting force, surface roughness, and circularity error were examined using variance analysis (ANOVA) and signal-to-noise (S/N) ratios. To enhance the drilling process parameters through a single comprehensive output measure, the obtained results were taken as an input to the fuzzy logic networks using multi-factor analysis. At the L7 trial, the least cutting force was observed at 525.7 N for dry conditions and 227.6 N for MQL conditions and gave cone-spiral and continuous chips. In order to analyze the signal-to-noise ratio effectively, high value correspond to better-quality characteristics. In accordance with ANOVA results pertaining to cutting force, a percentage contribution variance of 48.92% was obtained for the feed rate, which contributed to cutting force to a greater extent, followed by 36.82% for spindle speed and 14.19% for the type of drill bit.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Drilling performance analysis on super duplex stainless steel (AISI 2507) using scalable pulse power plasma TiSiN- and AlTiN-coated tools and optimizing machining parameters through Taguchi–Fuzzy approach\",\"authors\":\"Prajwal Agrawal, Shivam Kenche, T Sampath Kumar\",\"doi\":\"10.1177/09544089241270849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, super duplex stainless steel (SDSS) has gained a lot of importance due to its strength and excellent resistance to corrosion cracking for applications in marine and chemical processing industries, etc. In spite of various progress in the field, the drilling of SDSS leads to the formation of chips that are very strong and abrasive, which makes it challenging to have proper drilling. To overcome this issue by utilizing suitable parameters such as drill bit coating, environmental conditions and parameters for drilling. The SDSS machining output results were compared for both dry and minimum quantity lubrication (MQL) conditions using coated and uncoated drill bits. A scalable pulse power plasma (S3P) technique was utilized to deposit the titanium silicon nitride (TiSiN) and aluminum titanium nitride (AlTiN) coatings on solid carbide drill bits. In the experiments, three levels of drilling parameters have been chosen, including spindle speed (550, 700, 850 rpm), feed rate (0.035, 0.045, 0.060 m/min), and drill bit types. The experiment was designed using Taguchi's orthogonal L9 array. The influence of machining parameters such as cutting force, surface roughness, and circularity error were examined using variance analysis (ANOVA) and signal-to-noise (S/N) ratios. To enhance the drilling process parameters through a single comprehensive output measure, the obtained results were taken as an input to the fuzzy logic networks using multi-factor analysis. At the L7 trial, the least cutting force was observed at 525.7 N for dry conditions and 227.6 N for MQL conditions and gave cone-spiral and continuous chips. In order to analyze the signal-to-noise ratio effectively, high value correspond to better-quality characteristics. In accordance with ANOVA results pertaining to cutting force, a percentage contribution variance of 48.92% was obtained for the feed rate, which contributed to cutting force to a greater extent, followed by 36.82% for spindle speed and 14.19% for the type of drill bit.\",\"PeriodicalId\":20552,\"journal\":{\"name\":\"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/09544089241270849\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09544089241270849","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Drilling performance analysis on super duplex stainless steel (AISI 2507) using scalable pulse power plasma TiSiN- and AlTiN-coated tools and optimizing machining parameters through Taguchi–Fuzzy approach
In recent years, super duplex stainless steel (SDSS) has gained a lot of importance due to its strength and excellent resistance to corrosion cracking for applications in marine and chemical processing industries, etc. In spite of various progress in the field, the drilling of SDSS leads to the formation of chips that are very strong and abrasive, which makes it challenging to have proper drilling. To overcome this issue by utilizing suitable parameters such as drill bit coating, environmental conditions and parameters for drilling. The SDSS machining output results were compared for both dry and minimum quantity lubrication (MQL) conditions using coated and uncoated drill bits. A scalable pulse power plasma (S3P) technique was utilized to deposit the titanium silicon nitride (TiSiN) and aluminum titanium nitride (AlTiN) coatings on solid carbide drill bits. In the experiments, three levels of drilling parameters have been chosen, including spindle speed (550, 700, 850 rpm), feed rate (0.035, 0.045, 0.060 m/min), and drill bit types. The experiment was designed using Taguchi's orthogonal L9 array. The influence of machining parameters such as cutting force, surface roughness, and circularity error were examined using variance analysis (ANOVA) and signal-to-noise (S/N) ratios. To enhance the drilling process parameters through a single comprehensive output measure, the obtained results were taken as an input to the fuzzy logic networks using multi-factor analysis. At the L7 trial, the least cutting force was observed at 525.7 N for dry conditions and 227.6 N for MQL conditions and gave cone-spiral and continuous chips. In order to analyze the signal-to-noise ratio effectively, high value correspond to better-quality characteristics. In accordance with ANOVA results pertaining to cutting force, a percentage contribution variance of 48.92% was obtained for the feed rate, which contributed to cutting force to a greater extent, followed by 36.82% for spindle speed and 14.19% for the type of drill bit.
期刊介绍:
The Journal of Process Mechanical Engineering publishes high-quality, peer-reviewed papers covering a broad area of mechanical engineering activities associated with the design and operation of process equipment.