Graph-Based Analysis of Metal Cutting Parameters

Laakso, Simo; Peltokorpi, Jaakko; Ratava, Juho; Lohtander, Mika; Varis, Juha

doi:10.1007/978-3-319-00557-7_52

Cited by 5 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, an increase in cutting speed leads to an increase in strain rate and temperature, and the cause of the proportional increase in the resultant force in this case cannot be determined unambiguously. This was also implied by a graph analysis of metal cutting parameters in Laakso et al 38 A linear relationship between strain, strain rate or temperature and machining parameters cannot be formed. Therefore, the role of compression experiments or SHPB experiments could be irreplaceable, because in these experiments, one variable can be changed while other variables are controlled.…”

Section: Resultsmentioning

confidence: 94%

Determination of material model parameters from orthogonal cutting experiments

Laakso

Niemi

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Flow stress models in finite element analysis of metal cutting require material parameters that are essential considering the accuracy of the simulations. This article presents a method to acquire material parameters from cutting experiments using the extended Oxley’s shear zone theory. The novelty in this approach is to use measured chip geometry and temperature instead of determining them analytically to calculate strain and strain rate. These values are used to calculate the resultant cutting forces with the extended Oxley’s model and Johnson–Cook flow stress model. Flow stress model parameters are optimized to fit the calculated forces to those measured from cutting experiments. The Johnson–Cook parameters acquired with this method perform better than those found in the literature.

show abstract

Section: Resultsmentioning

confidence: 94%

Determination of material model parameters from orthogonal cutting experiments

Laakso

Niemi

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…Studies show that the cutting speed greatly affects the strength of the cutting force [27]. Therefore, the cutting speed is considered independent variables and the maximum cutting force along the x-directions, y-directions, and z-directions are considered the performance indicators.…”

Section: Verifying the Accuracy Of The Established Modelmentioning

confidence: 99%

Analysis of cutting performance of the tool based on FEM and grey-fuzzy analytic hierarchy process

Yue

Liu

et al. 2021

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In order to study the correlation between parameters and performance indicators in the cutting process, the importance of different parameters in performance indicators should be determined. In the present study, the side milling process of titanium alloy by the end milling cutter is considered the research object, and analytic hierarchy process and grey-fuzzy evaluation method are used to evaluate the importance of tool geometric parameters and operating parameters on tool wear rate and material removal rate obtained by FEM method. It is found that applying the average method to remove the parameter level makes each parameter achieve the same result. Therefore, this method should be combined with other data processing methods to resolve the above problem. Finally, the range analysis method is applied to obtain the optimal parameter level of different parameters for each performance indicator. The obtained results show that the helix angle has the highest overall importance value, followed by feed per tooth. And the optimum combination of parameters for tool wear rate and material removal rate is obtained respectively.

show abstract

“…Cutting speed is one of the important parameters affecting the cutting force [ 38 ]. Therefore, taking the cutting speed as the studied parameter, and taking the cutting forces in three directions as performance indicators, the accuracy of the finite element simulation model was verified by comparing the maximum values of the simulation values and the experimental values.…”

Section: Validation Of the Finite Element Modelmentioning

confidence: 99%

Optimization Method of Tool Parameters and Cutting Parameters Considering Dynamic Change of Performance Indicators

et al. 2021

View full text Add to dashboard Cite

In the process of metal cutting, the cutting performance of cutting tools varies with different parameter combinations, so the results of the performance indicators studied are also different. So in order to achieve the best performance indicator it is necessary to get the best parameter matching combination. In addition, in the process of metal cutting, the value of the performance index is different at each stage of the processing process. In order to consider the cutting process more comprehensively, it is necessary to use a comprehensive evaluation method that can evaluate the dynamic process of performance indicators. This paper uses a dynamic evaluation method that considers the dynamic change of performance indicators in each stage of the cutting process to comprehensively evaluate the tool parameters and cutting parameters at each level. For the purpose of high processing efficiency and long tool life, tool wear rate and material removal rate are used as performance indicators. In the case of specified rake angle, cutting speed and cutting width, titanium alloy is studied by end milling cutter side milling. The tool parameters and cutting parameters in milling process are optimized by using a dynamic comprehensive evaluation method based on gain horizontal excitation. Finally, the parameter matching combination that can make the performance indicator reach the best is obtained. The results show that when the rake angle is 8°, the cutting speed is 37.68 m/min, and the cutting width is 0.2 mm, the tool wear rate and material removal rate are the best when the clearance angle is 9°, the helix angle is 30°, the feed per tooth is 0.15 mm/z, and the cutting depth is 2.5 mm.

show abstract

Graph-Based Analysis of Metal Cutting Parameters

Cited by 5 publications

References 36 publications

Determination of material model parameters from orthogonal cutting experiments

Determination of material model parameters from orthogonal cutting experiments

Analysis of cutting performance of the tool based on FEM and grey-fuzzy analytic hierarchy process

Optimization Method of Tool Parameters and Cutting Parameters Considering Dynamic Change of Performance Indicators

Contact Info

Product

Resources

About