Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

Xu, Chunjing; Xu, Ting; Yi, Xiaosu; Zhang, Jilin; Liu, Wenli; Li, Huaiyuan

doi:10.1177/1687814016673753

Cited by 11 publications

(4 citation statements)

References 5 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tool wear, cutting force and vibration, as important factors affecting machining quality and cutting efficiency of machine tools, have been studied widely. [1][2][3][4][5] In cutting processes, there are many factors, such as the precision of machine tools, tool materials, geometric angles, internal structures of workpieces, cutting parameters and environmental factors, influencing cutting forces and vibration. Of them, machine tools, machining methods and workpiece and tool materials are fixed factors, while cutting parameters and tool wear are variable factors.…”

Section: Introductionmentioning

confidence: 99%

The relationships between cutting parameters, tool wear, cutting force and vibration

Jianming

Chai

et al. 2018

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

To study the influences of processes factors on cutting force and vibration in cutting processes, milling tests were carried out on 022Cr17Ni12Mo2 stainless steel under different process conditions using a coated carbide end mill insert. The cutting force and vibration acceleration signals were recorded, and the wear depth on the flank face of the tool was measured. This study observed tool wear morphology using a scanning electron microscope and investigated distributions of surface elements on the damaged tools by energy spectrum analysis. Based on the revelations of tool wear mechanisms, the influence of milling parameters and tool wear on cutting force and vibration were further investigated. The research shows that oxidation, adhesion and diffusion wear mainly appear on the rake face, along with mechanical and thermal cracking, while adhesive and diffusion wear occur on the flank face. Among process factors, tool wear and milling depth significantly affect cutting force and vibration. Therefore, in actual machining processes, on the premise of meeting the requirements for rigidity and surface roughness of a machine tool, properly increasing the cutting velocity and milling depth can improve productivity and control cutting force and vibration.

show abstract

Section: Introductionmentioning

confidence: 99%

The relationships between cutting parameters, tool wear, cutting force and vibration

Jianming

Chai

et al. 2018

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…e reduction of cutting forces with the increase in cutting speed leads to lowest surface roughness observed by Xu Chuangwen et al [10]. e changes in dual phase stages of annealing heat treatment for various temperatures on steel specimen can be verified by the influencing parameters evaluated based on the increasing volume fraction of martensite in dual phase steel.…”

Section: Introductionmentioning

confidence: 82%

Tribological Behavior and Analysis on Surface Roughness of CNC Milled Dual Heat Treated Al6061 Composites

Bejaxhin

Balamurugan²,

Sivagami³

et al. 2021

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

Dual heat treatment (DHT) effect is analyzed using the machining of Al6061-T6 alloy, a readily available material for quickly finding the machining properties. The heat treatments are conducted twice over the specimen by the furnace heating before processing through CNC machining. The HSS and WC milling cutters are preferred for the diameter of 10 mm for the reviewed rotational speeds of 2000 rpm and 4000 rpm, and the constant depth of cut of 0.5 mm is chosen based on various reviews. Worthy roughness could be provided mostly by the influence of feed rates preferred here as 0.05 mm/rev and 0.1 mm/rev. The influencing factors are identified by the Taguchi, genetic algorithm (GA), and Artificial Neural Network (ANN) techniques and compared within it. The simulation finding also helps to clarify the relationship between influenced machining constraints and roughness outcomes of this project. The average values of heat treated and nonheat treated Al6061-T6 are compared and it is to be evaluated that 41% improvement is obtained with the lower surface roughness of 1.78975 µm and it shows good surface finish with the help of dual heat treatment process.

show abstract

“…48 It is frequently used to address real-world issues involving multi-factor interaction because its response prediction results can also approximate the true response surface and produce the optimum prediction effect. 49 Equation (4) illustrates how the second-order response surface approach expands the Taylor expansion for a single variable to multiple variables 50 :…”

Section: Establishment and Analysis Of Surface Roughness Prediction M...mentioning

confidence: 99%

Multi-axis CNC finishing and surface roughness prediction of TC11 titanium alloy open integral micro impeller

Zhao,

Cao,

Guo

et al. 2024

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The titanium alloy open integral micro impeller has a strong material strength and high removal rate in the field of multi-axis CNC machining. The flow channel is tiny and the blades are thin and highly twisted. It is difficult to control the surface accuracy and prone to overcutting and undercutting. The NX2212 software post-processing module plans two distinct blade finishing process routes and verifies them using virtual machine tool simulation, taking into account the technical challenges of micro impeller machining. Following verification, the tool path machining code is imported into MATLAB for data fitting. The workpiece surface working condition is determined based on the simulation findings, the blade surface roughness value is calculated, and a physical simulation model of blade finishing is created in the finite element analysis software. The outcomes demonstrate how well the “segmented and sub-regional cutting” processing method may raise blade accuracy. The leading and trailing edges of the blade both had surface roughness increases of 4.86% and 4.19%. The surface morphology of the micro impeller is measured using a white light interferometer, and it is CNC machined using two distinct process methods. The findings demonstrate that there is a significant difference between the value calculated by the finite element analysis software and the surface roughness value measured experimentally which together make up less than 5%. An investigation of the impact of cutting parameters on the surface roughness of micro-structure components is carried out using a three factor, three-level BBD experiment that is founded on the second-order response surface method. The findings indicate that the feed per tooth influences surface roughness more significantly than cutting depth and cutting speed for a reasonable range of cutting parameters; Surface roughness will rise with lower or higher cutting speeds; Raising the feed per tooth and the cutting speed simultaneously may reduce surface roughness; Surface roughness can be accurately predicted and controlled using the second-order response surface method.

show abstract

Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

Cited by 11 publications

References 5 publications

The relationships between cutting parameters, tool wear, cutting force and vibration

The relationships between cutting parameters, tool wear, cutting force and vibration

Tribological Behavior and Analysis on Surface Roughness of CNC Milled Dual Heat Treated Al6061 Composites

Multi-axis CNC finishing and surface roughness prediction of TC11 titanium alloy open integral micro impeller

Contact Info

Product

Resources

About