The tool wear versus its tool material and workpiece material

1996 ◽  
Vol 54 (2) ◽  
pp. 105-107
Author(s):  
A. Očkajová
Keyword(s):  
Tool Wear ◽  
Tool Material ◽  
Workpiece Material

Simulation of Machining of AISI1045 Based on Thermodynamical Constitutive Equation

2013 ◽  
Vol 333-335 ◽  
pp. 1988-1992
Author(s):  
Fang Shao ◽  
Xue Yan ◽  
Yu Ting Wang ◽  
Li Jing Zou
Keyword(s):  
Constitutive Equation ◽  
Tool Wear ◽  
Cutting Temperature ◽  
Tool Material ◽  
Good Prediction ◽  
Wear Depth ◽  
Workpiece Material ◽  
Element Analysis ◽  
Good Prediction Accuracy ◽  
Experimental Cutting

In this paper a finite element analysis (FEA) of machining for AISI1045 is presented. In particular, the thermodynamical constitutive equation (T-C-E) in FEA is applied for both workpiece material and tool material. Cutting temperature and tool wear depth are predicted. The comparison between the predicted and experimental cutting temperature and tool wear depth are presented and discussed. The results indicated that a good prediction accuracy of both principal cutting temperature and tool wear depth can be achieved by the method of FEA with thermodynamical constitutive equation.

Simulation of Machining of AISI1045 Based on Thermodynamics

2015 ◽  
Vol 751 ◽  
pp. 273-277
Author(s):  
Fang Shao ◽  
Li Hua Xiao ◽  
Yu Ting Wang
Keyword(s):  
Constitutive Equation ◽  
Tool Wear ◽  
Cutting Temperature ◽  
Tool Material ◽  
Good Prediction ◽  
Wear Depth ◽  
Workpiece Material ◽  
Element Analysis ◽  
Good Prediction Accuracy ◽  
Experimental Cutting

In this paper a finite element analysis (FEA) of machining for AISI1045 is presented. In particular, the thermodynamical constitutive equation (T-C-E) in FEA is applied for both workpiece material and tool material. Cutting temperature and tool wear depth are predicted. The comparison between the predicted and experimental cutting temperature and tool wear depth are presented and discussed. The results indicated that a good prediction accuracy of both principal cutting temperature and tool wear depth can be achieved by the method of FEA with thermodynamical constitutive equation.

Peculiarities of tool material wear at polymeric composite blank cutting

2018 ◽  
Vol 2018 (7) ◽  
pp. 27-31
Author(s):  
Юрий Зубарев ◽  
Yuriy Zubarev ◽  
Александр Приемышев ◽  
Alexsandr Priyomyshev
Keyword(s):  
Tool Wear ◽  
Tool Material ◽  
Polymeric Composite ◽  
Physical Models ◽  
Technological Parameters ◽  
Tool Materials ◽  
Materials Used ◽  
The Impact ◽  
Material Wear

Tool materials used for polymeric composite blank machining, kinds of tool material wear arising at machining these blanks, and also the impact of technological parameters upon tool wear are considered. The obtained results allow estimating the potentialities of physical models at polymeric composite blanks cutting.

Simulation of Machining of Incoloy 907 Based on Thermodynamical Constitutive Equation

2013 ◽  
Vol 631-632 ◽  
pp. 681-685
Author(s):  
Fang Shao ◽  
Fa Qing Li ◽  
Hai Ying Zhang ◽  
Xuan Gao
Keyword(s):  
Cutting Force ◽  
Cutting Temperature ◽  
Tool Material ◽  
High Reactivity ◽  
Good Prediction ◽  
Workpiece Material ◽  
Element Analysis ◽  
Good Prediction Accuracy ◽  
Experimental Cutting ◽  
Cutting Tool Materials

Aero-engine alloys (also as known as superalloys)are known as difficult-to-machine materials, especially at higher cutting speeds, due to their several inherent properties such as low thermal conductivity and their high reactivity with cutting tool materials. In this paper a finite element analysis (FEA) of machining for Incoloy907 is presented. In particular, the thermodynamical constitutitve equation(T-C-E) in FEA is applied for both workpiece material and tool material. Cutting temperature and cutting force are predicted. The comparison between the predicted and experimental cutting temperature and cutting force are presented and discussed. The results indicated that a good prediction accuracy of both principal cutting temperature and cutting force can be achieved by the method of FEA with thermodynamical constitutitve equation.

scholarly journals Influence of Workpiece Material on Tool Wear Performance and Tribofilm Formation in Machining Hardened Steel

Lubricants ◽  
2016 ◽  
Vol 4 (2) ◽  
pp. 10 ◽  
Author(s):  
Junfeng Yuan ◽  
Jeremy Boyd ◽  
Danielle Covelli ◽  
Taib Arif ◽  
German Fox-Rabinovich ◽  
...  
Keyword(s):  
Tool Wear ◽  
Hardened Steel ◽  
Workpiece Material ◽  
Wear Performance

Audio-Based Condition Monitoring in Milling of the Workpiece Material With the Hardness Variation Using Support Vector Machines and Convolutional Neural Networks

2018 ◽  
Author(s):  
Achyuth Kothuru ◽  
Sai Prasad Nooka ◽  
Rui Liu
Keyword(s):  
Neural Networks ◽  
Support Vector Machines ◽  
Tool Wear ◽  
Support Vector ◽  
Workpiece Material ◽  
Artificial Intelligent ◽  
Tool Condition ◽  
Hardness Variation ◽  
Vector Machines ◽  
Audible Sound

Machining industry has been evolving towards implementation of automation into the process for higher productivity and efficiency. Although many studies have been conducted in the past to develop intelligent monitoring systems in various application scenarios of machining processes, most of them just focused on cutting tools without considering the influence due to the non-uniform hardness of workpiece material. This study develops a compact, reliable, and cost-effective intelligent Tool Condition Monitoring (TCM) model to detect the cutting tool wear in machining of the workpiece material with hardness variation. The generated audible sound signals during the machining process will be analyzed by state of the art artificial intelligent techniques, Support Vector Machines (SVMs) and Convolutional Neural Networks (CNNs), to predict the tool condition and the hardness variation of the workpiece. A four-level classification model is developed for the system to detect the tool wear condition based on the width of the flank wear land and hardness variation of the workpiece. The study also involves comparative analysis between two employed artificial intelligent techniques to evaluate the performance of models in predicting the tool wear level condition and workpiece hardness variation. The proposed intelligent models have shown a significant prediction accuracy in detecting the tool wear and from the audible sound into the proposed multi-classification wear class in the end-milling process of non-uniform hardened workpiece.

Effect of minimum quantity lubrication and vortex tube cooling on laser-assisted micromilling of a difficult-to-cut steel

2020 ◽  
Vol 234 (11) ◽  
pp. 1422-1432 ◽  
Author(s):  
Pushparghya Deb Kuila ◽  
Shreyes Melkote
Keyword(s):  
Tool Wear ◽  
Cutting Forces ◽  
Vortex Tube ◽  
Minimum Quantity Lubrication ◽  
Dimensional Accuracy ◽  
Burr Formation ◽  
Workpiece Material ◽  
Minimum Quantity ◽  
Tool Condition ◽  
Cooling Methods

Laser-assisted micromilling is a promising micromachining process for difficult-to-cut materials. Laser-assisted micromilling uses a laser to thermally soften the workpiece in front of the cutting tool, thereby lowering the cutting forces, improving the dimensional accuracy, and reducing the tool wear. Thermal softening, however, causes the workpiece material to adhere to the tool and form a built-up edge. To mitigate this problem and to enhance micromachinability of the workpiece in laser-assisted micromilling, this article investigates the following lubrication and cooling methods: (1) minimum quantity lubrication and (2) vortex tube cooling. Experiments utilizing the two methods are carried out on a difficult-to-cut stainless steel (A286), and the surface morphology, tool condition, burr formation, groove dimensional accuracy, surface finish, and cutting forces are analyzed. Results show that the combination of laser-assisted micromilling and minimum quantity lubrication yields the least amount of tool wear, lower resultant force, better groove dimensional accuracy, and no built-up edge. While vortex tube cooling with laser-assisted micromilling produces smaller burrs compared to minimum quantity lubrication, it yields larger changes in groove dimensions and is characterized by built-up edge formation. Possible physical explanations for the experimental observations are given.

Evaluation of Thermal Effects in Turning Processes: Numerical and Experimental Approach

2019 ◽  
Author(s):  
Aruna Prabha Kolluri ◽  
Srinivasa Prasad Balla ◽  
Satya Prasad Paruchuru
Keyword(s):  
Finite Element ◽  
Temperature Distribution ◽  
Tool Wear ◽  
Wear Mechanism ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Tool Material ◽  
Maximum Error ◽  
Tool Wear Mechanism ◽  
Coated Carbide

Abstract The 3D Finite element method (FEM) is an efficient tool to predict the variables in the cutting process, which is otherwise challenging to obtain with the experimental methods alone. The present study combines both experimental findings and finite element simulation outcomes to investigate the effect of tool material on output process variables, such as vibrations, cutting temperature distribution and tool wear mechanism. Machining of popular aerospace materials like Ti-6Al-4V and Al7075 turned with coated and uncoated tools are part of the investigation. The authors choose the orthogonal test, measured vibrations and cutting temperatures and used FE simulations to carry out the subsequent validations. This study includes the influence of the predicted heat flux and temperature distribution on the tool wear mechanism. The main aim of this study is to investigate the performance quality of uncoated and coated carbide tools along with its thermal aspects. Comparison of experiment and simulation outcomes shows good agreement with a maximum error of 9.02%. It has been noted that the increase of cutting temperature is proportional to its cutting speed. As the cutting speed increases, it is observed that vibration parameter and flank wear value also increases. Overall, coated carbide turning insert tool is the best method for metal turning with higher rotational speeds of the spindle.

scholarly journals Effect of Si in Workpiece Material on Tool Wear in Hard Turning

2018 ◽  
Vol 104 (4) ◽  
pp. 208-217
Author(s):  
Tatsuya Iwasaki ◽  
Toshiharu Aiso ◽  
Koji Watari
Keyword(s):  
Tool Wear ◽  
Hard Turning ◽  
Workpiece Material

Simulation of Machining of Incoloy 907 with Thermodynamical Constitutive Equation

2013 ◽  
Vol 634-638 ◽  
pp. 1790-1793
Author(s):  
Fang Shao ◽  
Hai Ying Zhang ◽  
Zhi Jun Fan
Keyword(s):  
Cutting Force ◽  
Cutting Temperature ◽  
Tool Material ◽  
High Reactivity ◽  
Good Prediction ◽  
Workpiece Material ◽  
Element Analysis ◽  
Good Prediction Accuracy ◽  
Experimental Cutting ◽  
Cutting Tool Materials

Aero-engine alloys (also as known as superalloys)are known as difficult-to-machine materials, especially at higher cutting speeds, due to their several inherent properties such as low thermal conductivity and their high reactivity with cutting tool materials. In this paper a finite element analysis (FEA) of machining for Incoloy907 is presented. In particular, the thermodynamical constitutitve equation(T-C-E) in FEA is applied for both workpiece material and tool material. Cutting temperature and cutting force are predicted. The comparison between the predicted and experimental cutting temperature and cutting force are presented and discussed. The results indicated that a good prediction accuracy of both principal cutting temperature and cutting force can be achieved by the method of FEA with thermodynamical constitutitve equation.

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