Temperature in Machining of Aluminum Alloys

Santos, Mário Coutinho dos; Machado, Álisson Rocha; Barrozo, M. A. S.

doi:10.5772/intechopen.75943

Cited by 15 publications

(11 citation statements)

References 24 publications

(32 reference statements)

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“…The dimensions of the specimens and the rotations were established in such a way that the average cutting speed was parameterized around 40 m/min, for an advance of 0.1 mm/rev and, in this way, the neckings were performed in the following positions: 0-10, 11-20, 21-30, 31-40, 41-60, and 61-80 mm along the casting length. For cutting temperature measurement, a digital infrared thermometer was used, and a measurement technique already established in the literature [31,32] coupled to a computer running data acquisition software was applied. The thermometer was always directed to the cutting area (Figure 3).…”

Section: Methodsmentioning

confidence: 99%

Influence of Solidification Parameters and Solute Content on the Machinability of Two Lead-Free Babbit Metals

Costa Maciel

2023

Current Trends in Eng Sc

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Studies suggest that white metal Sn-Sb alloys are the most commonly type of babbit metal used in industry. However, it is necessary to evaluate manufacturing characteristics and solute contents that leads the best machining conditions. This work presents a correlation between solidification parameters and machinability of Sn-2.0wt%Sb and Sn-5.5wt%Sb alloys, solidified in a horizontal directional device, evaluating the influence of solute content on these results. Cutting temperatures were measured in dry necking processes along the length of the ingot. It was observed that the reverse cellular-dendritic transition influenced the cutting temperature results. The range of cell and dendrite spacings varies approximately from 40 to 330 μm on the Sn-2.0wt%Sb alloy and from 15 to 240 μm on the Sn-5,5wt%Sb alloy. In the cellular region, higher values are found for the Sn-5.5wt%Sb alloy, but in the dendritic region, these values were higher for the Sn-2.0wt%Sb alloy.

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Section: Methodsmentioning

confidence: 99%

Influence of Solidification Parameters and Solute Content on the Machinability of Two Lead-Free Babbit Metals

Costa Maciel

2023

Current Trends in Eng Sc

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“…Machining of Al-Cu and Al-Zn Alloys for Aeronautical Components DOI: http://dx.doi.org /10.5772/intechopen.93719 If the temperature achieved is low the adhesion is not very significant, no matter if the chips are long or short. Otherwise, when a critical temperature is reached, other types of wear mechanisms such as diffusion may appear, increasing the synergy effect previously described [68,69].…”

Section: Cutting-tool Wear In the Machining Of Aluminum Alloysmentioning

confidence: 96%

Machining of Al-Cu and Al-Zn Alloys for Aeronautical Components

Salguero¹,

Sol²,

Gómez-Parra³

et al. 2021

Advanced Aluminium Composites and Alloys

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Machining operations are chosen by aircraft manufacturers worldwide to process light aluminum alloys. This type of materials presents good characteristics in terms of weight and physicochemical properties, which combined with a low cost ratio making them irreplaceable in aircraft elements with a high structural commitment. Conventional machining processes such as drilling, milling and turning are widely used for aeronautical parts manufacturing. High quality requirements are usually demanded for these kinds of components but aluminum alloys may present some machinability issues, basically associated to the heat generated during the process. Among others, surface quality and geometrical deviations are highly influenced by the condition of the cutting-tool, its wear and the cutting parameters. Consequently, the understanding of the relationship among the process parameters, the quality features and the main wear mechanism is a key factor for the improvement in the productivity. In this chapter, the fundamental issues of drilling, milling and turning are addressed, dealing with the relationship between cutting parameters, wear phenomena and micro and macro geometrical deviations.

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“…The equations of the cutting tool and workpiece temperatures in the machining operations of AL alloys based on multiple nonlinear regression analysis are presented by Santos et al [25] as, = 116.503 0.211 0.181 0.0464 0.00391 (12) = 43.319 0.365 0.244 0.0423 0.019 (13) Where θ is temperature (degree Celsius), is cutting speed (m/minutes), is feed rate (mm/z), and are radial feed and axial feed (mm) respectively.…”

Section: Cutting Temperature Modelmentioning

confidence: 99%

Deflection Error Prediction and Minimization in 5-Axis Milling Operations of Thin-Walled Impeller Blades

Soori

Asmael

2020

Preprint

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To enhance accuracy as well as efficiency in process of machining operations, the virtual machining systems are developed. Free from surfaces of sophisticated parts such as turbine blades, airfoils, impellers, and aircraft components are produced by using the 5-axis CNC machine tools which can be analyzed and developed by using virtual machining systems. The machining operations of thin walled structures such as impeller blades are with deflection errors due to cutting forces and cutting temperatures. The flexibility of thin walled impeller blades can cause machining defects such as overcut or undercut. So, the desired accuracy in the machined impeller blades can be achieved by decreasing the deflection error in the machining operations. To minimize the deflection of machined impeller blades, optimized machining parameters can be obtained. An application of virtual machining system in predicting and minimizing the deflection errors of 5-Axis CNC machining operations of impeller blades is presented in the study to increase accuracy and efficiency in process of part production. The finite element analysis is applied to obtain the deflection error in machined impeller blades. In order to minimize the deflection error of impeller blades in the machining operations, the optimization methodology based on the Genetic algorithm is applied. The impeller is machined by using the 5-axis CNC machine tool in order to validate the developed virtual machining system in the study. Then, the machined impeller is measured by using the CMM machines to obtain the deflection error. As a result, the deflection error of in machining operations of impeller by using 5-Axis CNC machine tools can be decreased in order to enhance accuracy and efficiency of part manufacturing.

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Temperature in Machining of Aluminum Alloys

Cited by 15 publications

References 24 publications

Influence of Solidification Parameters and Solute Content on the Machinability of Two Lead-Free Babbit Metals

Influence of Solidification Parameters and Solute Content on the Machinability of Two Lead-Free Babbit Metals

Machining of Al-Cu and Al-Zn Alloys for Aeronautical Components

Deflection Error Prediction and Minimization in 5-Axis Milling Operations of Thin-Walled Impeller Blades

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