{"title":"A new characterization methodology for assessing machinability through cutting energy consumption","authors":"Kai Ma , Zhanqiang Liu , Bing Wang , Delin Liu","doi":"10.1016/j.cirpj.2024.10.008","DOIUrl":null,"url":null,"abstract":"<div><div>Improving machinability has consistently been an essential research topic in the machining community. However, a rapid and effective method to characterize machinability from the fundamental essence of machining is still lacking. This work proposed a new characterization methodology for assessing machinability from the principle of cutting energy consumption. An original Drop Hammer based Orthogonal Cutting (DHOC) test machine driven by gravitational potential energy was developed to conduct the machinability test. Using the Cutting Distance with Equal Energy (CDEE) method, machinability can be assessed by measuring the cutting distance without expensive measuring apparatus. Therefore, the cutting distance indicator can simplify the test procedure. Meanwhile, the CDEE method avoids the necessity for precisely calculating the consumptions of various complex cutting energies. Moreover, in-situ measurements coupled with the Digital Image Correlation (DIC) technique and Electron Back-Scattered Diffraction (EBSD) characterizations were utilized to evaluate the deformation characteristics and surface integrity during the CDEE tests. The proposed CDEE method has been validated from three aspects involving materials, cutting tools, and surface modification technology. Furthermore, a machinability optimization procedure based on the CDEE method has been proposed. The cutting distance indicator was used as an optimization objective for optimizing technology parameters to improve machinability. This CDEE method based on the DHOC test machine proved to have high application potential for the characterization and optimization of machinability.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIRP Journal of Manufacturing Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755581724001627","RegionNum":2,"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: 0
Abstract
Improving machinability has consistently been an essential research topic in the machining community. However, a rapid and effective method to characterize machinability from the fundamental essence of machining is still lacking. This work proposed a new characterization methodology for assessing machinability from the principle of cutting energy consumption. An original Drop Hammer based Orthogonal Cutting (DHOC) test machine driven by gravitational potential energy was developed to conduct the machinability test. Using the Cutting Distance with Equal Energy (CDEE) method, machinability can be assessed by measuring the cutting distance without expensive measuring apparatus. Therefore, the cutting distance indicator can simplify the test procedure. Meanwhile, the CDEE method avoids the necessity for precisely calculating the consumptions of various complex cutting energies. Moreover, in-situ measurements coupled with the Digital Image Correlation (DIC) technique and Electron Back-Scattered Diffraction (EBSD) characterizations were utilized to evaluate the deformation characteristics and surface integrity during the CDEE tests. The proposed CDEE method has been validated from three aspects involving materials, cutting tools, and surface modification technology. Furthermore, a machinability optimization procedure based on the CDEE method has been proposed. The cutting distance indicator was used as an optimization objective for optimizing technology parameters to improve machinability. This CDEE method based on the DHOC test machine proved to have high application potential for the characterization and optimization of machinability.
期刊介绍:
The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.