{"title":"Micro-structure evolution-based force model and surface characteristic studies of Inconel 718 during micro-endmilling","authors":"N. Anand Krishnan, K. Vipindas, J. Mathew","doi":"10.1080/10910344.2020.1855648","DOIUrl":null,"url":null,"abstract":"Abstract An accurate prediction of cutting force is significant, as it plays a critical role on surface quality and tool wear. In micro-endmilling, the machined feature size and feed/tooth are comparable to the material grain size and the edge radius of the endmill. Hence, the effects of scaling issues, material micro-structure and cutting temperature on the machining performance need to be addressed. This article presents a force model for micro-endmilling by incorporating size effect, machining temperature, workpiece spring back effect and micro-structure evolution. The developed force model was validated with experimental results on Inconel 718 and the prediction error was found to be less than 10%. An experimental study to understand the influence of size effect on cutting force, micro-hardness and surface defect during micro-endmilling on Inconel 718 was carried out. Minimum uncut chip thickness was observed adjacent to 0.9 µm. For a feed/tooth less than 0.9 µm, both cutting force and micro-hardness of the endmilled surface shows a nonlinear trend. Higher value of cutting force at feed/tooth less than 0.9 µm was observed due to high strain hardening, and significant plowing effect on the micro-endmilled surfaces.","PeriodicalId":51109,"journal":{"name":"Machining Science and Technology","volume":"25 1","pages":"875 - 898"},"PeriodicalIF":2.7000,"publicationDate":"2021-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10910344.2020.1855648","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machining Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10910344.2020.1855648","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract An accurate prediction of cutting force is significant, as it plays a critical role on surface quality and tool wear. In micro-endmilling, the machined feature size and feed/tooth are comparable to the material grain size and the edge radius of the endmill. Hence, the effects of scaling issues, material micro-structure and cutting temperature on the machining performance need to be addressed. This article presents a force model for micro-endmilling by incorporating size effect, machining temperature, workpiece spring back effect and micro-structure evolution. The developed force model was validated with experimental results on Inconel 718 and the prediction error was found to be less than 10%. An experimental study to understand the influence of size effect on cutting force, micro-hardness and surface defect during micro-endmilling on Inconel 718 was carried out. Minimum uncut chip thickness was observed adjacent to 0.9 µm. For a feed/tooth less than 0.9 µm, both cutting force and micro-hardness of the endmilled surface shows a nonlinear trend. Higher value of cutting force at feed/tooth less than 0.9 µm was observed due to high strain hardening, and significant plowing effect on the micro-endmilled surfaces.
期刊介绍:
Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to traditional and nontraditional machining processes performed on all materials—metals and advanced alloys, polymers, ceramics, composites, and biomaterials.
Topics covered include:
-machining performance of all materials, including lightweight materials-
coated and special cutting tools: design and machining performance evaluation-
predictive models for machining performance and optimization, including machining dynamics-
measurement and analysis of machined surfaces-
sustainable machining: dry, near-dry, or Minimum Quantity Lubrication (MQL) and cryogenic machining processes
precision and micro/nano machining-
design and implementation of in-process sensors for monitoring and control of machining performance-
surface integrity in machining processes, including detection and characterization of machining damage-
new and advanced abrasive machining processes: design and performance analysis-
cutting fluids and special coolants/lubricants-
nontraditional and hybrid machining processes, including EDM, ECM, laser and plasma-assisted machining, waterjet and abrasive waterjet machining