Effect of longitudinal−torsional vibration in ultrasonic-assisted drilling

Amini, Saeid; Soleimani, Meysam; Paktinat, Hossein; Lotfi, Mohammad

doi:10.1080/10426914.2016.1198027

Cited by 74 publications

(20 citation statements)

References 27 publications

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“…In general, the value of the rake angle is different from its calculated value during drilling. In addition to the rotary motion of the drill bit, the feed motion makes every point on the length of the drilling edge pass through a spiral path, and the pitch of the spiral track is equal to the feed value [ 30 ]. Therefore, the rake angle (

) in the drilling process is obtained from Equation (8):

where f and D are the feed rate and the drilling diameter, respectively, and

is the rake angle in the drilling process.…”

Section: Resultsmentioning

confidence: 99%

Numerical Simulation and Experimental Study on the Drilling Process of 7075-t6 Aerospace Aluminum Alloy

Luo

Tang

et al. 2021

Materials

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A finite element model for setting drilling conditions is established. The effect of feed speed and spindle speed on the drilling process was studied. In the test phase, drilling tests were conducted using three different feed speeds (60, 100, and 140 mm/min) and three different spindle speeds (800, 1000, and 1200 rpm). The correctness of the finite element model was verified by comparing the experimental and numerical simulation data. The results show that the axial force and torque increase significantly with the increase of feed speed, while the axial force and torque increase less as the spindle speed increases. The numerical simulation results show that the temperature of the cutting edge increases as the feed speed increases. Increasing the rotating speed increases the formation of chip curl. When the working conditions are high rotating speed and low feed, the tool wear is reduced, and the machining quality is better. The numerical simulation results obtained for the chip forming effect are similar to the experimental data. In addition, the simulation results show the generation of burrs. A comparison of the finite element simulation and experimental data leads to an in-depth understanding of the drilling process and ability to optimize subsequent drilling parameters, which provide reliable process parameters and technical guarantees for the successful implementation of drilling technology for space suspended ball structures.

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) in the drilling process is obtained from Equation (8):

where f and D are the feed rate and the drilling diameter, respectively, and

is the rake angle in the drilling process.…”

Section: Resultsmentioning

confidence: 99%

Numerical Simulation and Experimental Study on the Drilling Process of 7075-t6 Aerospace Aluminum Alloy

Luo

Tang

et al. 2021

Materials

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“…On the other hand, because of intermittent separation of workpiece and tool, the temperature in the cutting zone in VAM is lower than that in conventional process, which tends to increase tool life. Another reason for reduced temperature in VAM can be attributed to the change in friction coefficient from semi-static to dynamic [25,92], which results in reduced friction coefficient in the VAM process and changes the chip formation mechanism. As cutting speed increases, there is an increase in the degree of toolworkpiece engagement per tool revolution.…”

Section: Tool Life Extensionmentioning

confidence: 99%

“…VAM has been applied to several machining processes, including turning, milling, drilling, and grinding, for the processing of hard materials. Reported benefits include the following: reduction in machining forces [24][25][26][27]; improved surface finish and form accuracy [25,[28][29][30]; suppression of burr formation [23,28]; reduction of tool wear and extension of tool life [30][31][32]. In the turning process, vibration assistance is relatively easy to implement on the cutting tool as it is stationary.…”

Section: Introductionmentioning

confidence: 99%

State-of-the-art review on vibration-assisted milling: principle, system design, and application

Chen

Huo

Shi

et al. 2018

Int J Adv Manuf Technol

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Vibration-assisted machining (VAM) is an external energy assisted machining method to improve the material removal process by superimposing high frequency and small amplitude vibration onto tool or workpiece motion. VAM has been applied to several machining processes, including turning, drilling, grinding, and more recently milling, for the processing of hard-to-machine materials. This paper gives a critical review of vibration-assisted milling (VAMilling) research. The basic kinematic equations of 1D and 2D VAMilling are formulated and three typical tool-workpiece separation types are proposed. State-of-the-art on the principle and structural design of VAM systems are reviewed. The benefits and applications of VAMilling are discussed with emphasis on machining of hard-to-machine materials. Finally, the paper concludes with future possibilities for VAMilling.

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“…In dry drilling, frictional forces are greater during chips' shearing which effect the chip thickness, size, and morphology. Built-up edge (BUE) and discontinuous chips formation stick and adhere with tool edges and effect hole surface [32,33]. Chips with built-up edges form during dry drilling which increase the required drilling forces for making holes [34].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-Based Prediction of Drilling-Induced Temperatures at Varying Cutting Conditions along with Analysis of Chips Morphology and Burrs Formation

Riaz

Muhammad

Ullah

et al. 2021

Metals

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Friction and plastic deformation at the tool–chips interaction during a dry drilling process results in temperature rise and promotes tool wear and surface roughness. In most of the components produced in industries, a drilling process is used to make a hole for final assembly. Therefore, knowledge of temperatures produced during drilling operation at various machining input parameters is required for the best quality product. A fuzzy logic-based algorithm is developed to predict the temperature generated in the drilling process of AISI 1018 mild steel. The algorithm used speed and feed rate of the drill bit as input parameters to the fuzzy domain. A set of rules was used in the fuzzy domain to predict maximum temperature produced in the drilling process. The developed algorithm is simulated for various input speed and feed rate parameters and was verified through the maximum temperature measured during drilling of the studied material at selected speed–feed combinations. Experiments were conducted to validate the results of developed fuzzy logic-based algorithm by using non-contact infrared pyrometer for drilling of AISI 1018 steel. A good agreement between the predicted and experimentally measured maximum temperature was observed with an error less than 6%. It is found that temperature increases with increase in cutting speed and feed rate. Size of roll back burr formation at the hole perimeter significantly increases with increase in drill speed and feed rate. Segmental continuity in spiral or helix chips morphology is more at low feed and high cutting speed. Chip radius increases with increase in feed rate and results in damaging of the machined surface and causes burr formation while the radius decreases with cutting speed along with improved hole surface finish.

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Effect of longitudinal−torsional vibration in ultrasonic-assisted drilling

Cited by 74 publications

References 27 publications

Numerical Simulation and Experimental Study on the Drilling Process of 7075-t6 Aerospace Aluminum Alloy

Numerical Simulation and Experimental Study on the Drilling Process of 7075-t6 Aerospace Aluminum Alloy

State-of-the-art review on vibration-assisted milling: principle, system design, and application

Fuzzy Logic-Based Prediction of Drilling-Induced Temperatures at Varying Cutting Conditions along with Analysis of Chips Morphology and Burrs Formation

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