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Effects of cutting parameter on microstructure and corrosion behavior of 304 stainless steel in simulated primary water

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Journal of Materials Science & Technology 2022年第27期122卷 219-230页

作者： Honglin Yan Jianqiu Wang Zhiming Zhang Bright O.Okonkwo Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of Sciences School of Materials Science and Engineering University of Science and Technology of China

The influence of surface conditions on the corrosion behavior of engineering structures has been paid more ***,there is still a lack of systematic research on the effect of cutting parameters on material’s microstructure and performance in *** this paper,the effect of cutting parameters on microstructure and corrosion behaviors of 304 stainless steel in simulated primary water is well *** results show that different cutting parameters can cause the superficial layer a gradient microstructure with nanocrystalized layer on top and deformation band structures *** the similar surface roughness,the deformation microstructure can be very different due to the different cutting *** effect degree on the depth of deformation zone is feed rate>cutting depth>cutting *** larger feed rate,lower cutting depth,lower cutting rate may induce a deeper deformation *** the increasing depth away from the machined surface,the localized corrosion rate is decreased,and at the same depth the localized corrosion rate along the deformation bands is higher than that along the grain boundaries(GBs).The nanocrystalized surface has a smallest general corrosion rate due to the quick formation of Cr rich oxide ***,once the corrosion penetrates through this nanocrystalized layer,subsequent preferential corrosion at deformation bands and GBs will dominate and may lead to the significant increase of corrosion rate of the component in high temperature pressurized water.

关键词： Stainless steel Transmission electron microscopy(TEM) High temperature corrosion cutting parameter

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Energy efficient cutting parameter optimization

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Frontiers of Mechanical Engineering 2021年第2期16卷 221-248页

作者： Xingzheng CHEN Congbo LI Ying TANG Li LI Hongcheng LI College of Engineering and Technology Southwest UniversityChongqing 400715China State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China Department of Electrical and Computer Engineering Rowan UniversityGlassboroNJ 08028USA College of Advanced Manufacturing Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China

Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.

关键词： energy efficiency cutting parameter optimization machining process

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Effects of cutting parameters on Tool Insert Wear in End Milling of Titanium Alloy Ti6A14V

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Chinese Journal of Mechanical Engineering 2017年第1期30卷 53-59页

作者： LUO Ming WANG Jing WU Baohai ZHANG Dinghua Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education Northwestern Polytechnieal UniversityXi'an 710072China

Titanium alloy is a kind of typical hard-to-cut material due to its low thermal conductivity and high strength at elevated temperatures, this contributes to the fast tool wear in the milling of titanium alloys. The influence of cutting conditions on tool wear has been focused on the turning process, and their influence on tool wear in milling process as well as the influence of tool wear on cutting force coefficients has not been investigated comprehensively. To fully understand the tool wear behavior in milling process with inserts, the influence of cutting parameters on tool wear in the milling of titanium alloys Ti6A14V by using indexable cutters is investigated. The tool wear rate and trends under different feed per tooth, cutting speed, axial depth of cut and radial depth of cut are analyzed. The results show that the feed rate per tooth and the radial depth of cut have a large influence on tool wear in milling Ti6A14V with coated insert. To reduce tool wear, cutting parameters for coated inserts under experimental cutting conditions are set as： feed rate per tooth less than 0.07 mm, radial depth of cut less than 1.0 mm, and cutting speed sets between 60 and 150 m/min. Investigation on the relationship between tool wear and cutting force coefficients shows that tangential edge constant increases with tool wear and cutter edge chipping can lead to a great variety of tangential cutting force coefficient. The proposed research provides the basic data for evaluating the machinability of milling Ti6A14V alloy with coated inserts, and the recommend cutting parameters can be immediately applied in practical production.

关键词： tool wear Ti6A14V cutting parameter hard-to-cut material

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Study on cutting Force,cutting Temperature and Machining Residual Stress in Precision Turning of Pure Iron with Different Grain Sizes

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Chinese Journal of Mechanical Engineering 2020年第4期33卷 159-167页

作者： Yinfei Yang Lu Jin Jinpeng Zhu Jinxing Kong Liang Li College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

Pure iron is one of the difficult-to-machine materials due to its large chip deformation,adhesion,work-hardening,and built-up edges formation during *** leads to a large workpiece deformation and challenge to meet the required technical ***,under varying the grain size of pure iron,the influence of cutting speed,feed,and depth of cut on the cutting force,heat generation,and machining residual stresses were explored in the turning process to improve the machinability without compromising the mechanical properties of the *** experimental findings have depicted that the influence of grain size on cutting force in the precision turning process is not ***,the cutting temperature and residual stress of machining fine-grain iron were much smaller than the coarse grain at all levels of cutting parameters.

关键词： Pure iron Grain size cutting parameter cutting force cutting temperature Residual stress

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PREDICTION OF SURFACE ROUGHNESS FOR END MILLING TITANIUM ALLOY USING MODIFIED PARTICLE SWARM OPTIMIZATION LS-SVM

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Transactions of Nanjing University of Aeronautics and Astronautics 2013年第1期30卷 53-61页

作者：刘春景唐敦兵何华陈兴强 College of Mechanical and Electronic Engineering Nanjing University of Aeronautics and Astronautics Department of Mechanical and Electronic Engineering Collegeof Bengbu

It is difficult to construct the prediction model for titanium alloy through analyzing the formation mechanism of surface roughness due to the complicated relation between influential factors and surface roughness.A novel algorithm based on the modified particle swarm optimization ( PSO ) least square support vector machine ( LSSVM ) is proposed to predict the roughness of the end milling titanium *** to Taguchi method and features in milling titanium alloys , the influences of cutting speed , feed rate and axial depth of cut on surface roughness are investigated with the analysis of variance ( ANOVA ) of the experimental *** research results show that the construction speed of the modified PSO LS-SVM model is two orders of magnitude faster than that of back propagation ( BP ) *** , the prediction accuracy is about one order of magnitude higher than that of BP *** modified PSO LS-SVM prediction model can explain the influences of cutting speed , feed rate and axial depth of cut on the surface roughness of titanium *** a higher cutting speed , a lower feed rate or a smaller axial depth of cut can lead to the decrease of surface roughness.

关键词： titanium alloy cutting parameter surface roughness prediction modeling modified PSO LS-SVM

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The formation mechanism and the influence factor of residual stress in machining

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Frontiers of Mechanical Engineering 2014年第3期9卷 265-269页

作者： Zhaoxu QI Bin LI Liangshan XIONG Departmes ntcience & TechnologO y f MechaniCwualhan 43007E 4ngineeringchinHUazhong University of

Residual stresses generated in cutting process have important influences on workpiece performance. The paper presents a method of theoretical analysis in order to explicate the formation mechanism of residual stresses in cutting. An important conclusion is drawn that the accumulated plastic strain is the main factor which determines the nature and the magnitude of surface residual stresses in the workpiece. On the basis of the analytical model for residual stress, a series of simulations for residual stress prediction during cutting AISI 1045 steel are implemented in order to obtain the influences of cutting speed, depth of cut and tool edge radius on surface residual stress in the workpiece. And these influences are explained from the perspective of formation mechanism of residual stress in cutting. The conclusions have good applicability and can be used to guide the parameters selection in actual production.

关键词： residual stress analytical model strain plastic cutting parameter

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VIBRATION IN HIGH-SPEED MILLING OF THIN-WALLED COMPONENTS

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Transactions of Nanjing University of Aeronautics and Astronautics 2007年第2期24卷 112-117页

作者：汪通悦何宁李亮南京航空航天大学机电学院

To investigate the vibration principle in machining thin-walled components, a dynamic model for end milling of flexible structures is built based on considering the variations in the dynamic chip thickness and the differences between up-milling and down-milling. Two milling experiments verify the model. Experimental results show that the model can predict the milling force and displacements simultaneously in the dynamic milling process.

关键词： thin-walled component vibration mechanistic model cutting parameter

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