On estimation of energy quantity spent on wear under cutting conditions

The study presented involves the identification of surface roughness in Aluminum work pieces in an end milling process using fuzzy clustering of vibration signals. Vibration signals are experimentally acquired using an accelerometer for varying cutting conditions such as spindle speed, feed rate and depth of cut. Features are then extracted by processing the acquired signals in both the time and frequency domain. Techniques based on statistical parameters, Fast Fourier Transforms (FFT) and the Continuous Wavelet Transforms (CWT) are utilized for feature extraction. The surface roughness of the machined surface is also measured. In this study, fuzzy clustering is used to partition the feature sets, followed by a correlation with the experimentally obtained surface roughness measurements. The fuzzifier and the number of clusters are varied and it is found that the partitions produced by fuzzy clustering in the vibration signal feature space are related to the partitions based on cutting conditions with surface roughness as the output parameter. The results based on limited simulations are encouraging and work is underway to develop a larger framework for online cutting condition monitoring system for end milling.

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Optimization of Cutting Conditions in Multi-Pass Milling

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.823.525 ◽

2016 ◽

Vol 823 ◽

pp. 525-530

Author(s):

Abderrahim Belloufi ◽

Mekki Assas ◽

Mabrouk Hecini ◽

Imane Rezgui

Keyword(s):

Hybrid Genetic Algorithm ◽

Cutting Parameters ◽

Cutting Conditions ◽

Optimum Number ◽

Optimization Strategy ◽

Milling Operations ◽

Optimal Values ◽

Number Of Passes ◽

Fine Tune

In this paper, a new, optimization strategy is used for the determination of the optimum cutting parameters for multipass milling operations. This strategy is based on the “minimum production time” criterion. The optimum number of passes is determined via dynamic programming, and the optimal values of the cutting conditions are found based on the objective function developed for the typified criterion by using a hybrid genetic algorithm with SQP. GA is the main optimizer of this algorithm, whereas SQP is used to fine-tune the results obtained from the GA. Furthermore, the convergence characteristics and robustness of the proposed method have been explored through comparisons with results reported in literature. The obtained results indicate that the proposed strategy is effective compared to other techniques carried out by different researchers.

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Analysis of Cutting Forces and Machining Error in Ball End Milling of Cylindrical Surfaces

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.328-330.560 ◽

2011 ◽

Vol 328-330 ◽

pp. 560-564

Author(s):

Ba Sheng Ouyang ◽

Guo Xiang Lin ◽

Yong Hui Tang

Keyword(s):

Cutting Forces ◽

End Milling ◽

Cutting Conditions ◽

Machining Error ◽

Machined Surface ◽

Convex Surfaces ◽

Machining Errors ◽

End Mills ◽

Tool Deflections ◽

Cutting Modes

Cutting forces and machining error in contouring of concave and convex surfaces using helical ball end mills are theoretically investigated. The cutting forces are evaluated based on the theory of oblique cutting. The machining errors resulting from the tool deflections due to these forces are evaluated at various points of the machined surface. The influence of various cutting conditions and cutting modes on machining error is investigated and discussed.

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An investigation of optimum cutting conditions in turning nodular cast iron using carbide inserts with different nose radius

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/0954405416662085 ◽

2016 ◽

Vol 230 (9) ◽

pp. 1584-1591 ◽

Cited By ~ 5

Author(s):

Essam Ali Al Bahkali ◽

Adham Ezzat Ragab ◽

Ehab Adel El Danaf ◽

Adel Taha Abbas

Keyword(s):

Cast Iron ◽

Nodular Cast Iron ◽

Cutting Conditions ◽

Nose Radius ◽

Optimum Cutting ◽

Carbide Inserts

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Study on the Cutting Temperature and Chips Formation during the Milling of Pure Titanium

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.880.315 ◽

2018 ◽

Vol 880 ◽

pp. 315-320

Author(s):

Emil Nicusor Patru ◽

Dumitru Panduru ◽

Nicolae Craciunoiu ◽

Marin Bica

Keyword(s):

Pure Titanium ◽

Cutting Temperature ◽

Milling Process ◽

Cutting Conditions ◽

Cutting Process ◽

Screen Capture

In this paper some experimental determinations on the temperature during the milling process of pure titanium is conducted, using different cutting conditions. The results are presented as graphical dependencies and also as a screen capture of the values obtained using an adequate technique for temperature of the cutting process. Some pictures of the chips shape captured during milling process of the pure titanium bare are presented.

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