{"title":"Machinability study on dry machining of white cast iron by polycrystalline cubic boron nitride inserts","authors":"Xin Guo, Ling Chen, Wu Zhao, Hao Wan, Huiting Wen, Jinming Zhou","doi":"10.1080/10910344.2022.2044851","DOIUrl":null,"url":null,"abstract":"Abstract The polycrystalline cubic boron nitride (PCBN) insert has been widely used in machining high chromium white cast iron (HCCI), which has the high hardness and abrasiveness. The aim of this article is to reveal that micro-mechanical properties play an essential role in assessing the machinability of high chromium cast iron. Grid nanoindentation is applied to measure the micro-hardness distribution. Based on grid nanoindentation results, the micro-hardness distribution is proposed to study the machinability. After the machining test of HCCI by the PCBN insert, the cutting force, tool wear, surface roughness, and chip formation showed that the micro-hardness distribution of materials has the better results than macro-hardness in machinability evaluation, and abrasive wear occurred on the rake and flank face of the cutting tool. The abrasiveness index that is related with the micro-hardness distribution and the abrasive wear effect in machining, for the most of high abrasion materials, has the possible to evaluate the dynamic cutting process and tool life in dry machining by using the PCBN insert. The micro-hardness distribution imported into the machinability model may propose a new way to improve the data exchange capability in the modern manufacturing process.","PeriodicalId":51109,"journal":{"name":"Machining Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machining Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10910344.2022.2044851","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 The polycrystalline cubic boron nitride (PCBN) insert has been widely used in machining high chromium white cast iron (HCCI), which has the high hardness and abrasiveness. The aim of this article is to reveal that micro-mechanical properties play an essential role in assessing the machinability of high chromium cast iron. Grid nanoindentation is applied to measure the micro-hardness distribution. Based on grid nanoindentation results, the micro-hardness distribution is proposed to study the machinability. After the machining test of HCCI by the PCBN insert, the cutting force, tool wear, surface roughness, and chip formation showed that the micro-hardness distribution of materials has the better results than macro-hardness in machinability evaluation, and abrasive wear occurred on the rake and flank face of the cutting tool. The abrasiveness index that is related with the micro-hardness distribution and the abrasive wear effect in machining, for the most of high abrasion materials, has the possible to evaluate the dynamic cutting process and tool life in dry machining by using the PCBN insert. The micro-hardness distribution imported into the machinability model may propose a new way to improve the data exchange capability in the modern manufacturing process.
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