Active Damping of Milling Vibration Using Operational Amplifier Circuit

Muhammad, Bashir Bala; Wan, Min; Yang, Liu; Yuan, Heng

doi:10.1186/s10033-018-0291-9

Cited by 13 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, an increase of the part vibration can be detected through the cutting forces or the acoustic emission frequency analysis will lead to a decrease of the surface quality, if it is detected on time and there is a model governing the case, the correct parameters can be changed so the situation is inverted [46].…”

Section: Advanced Milling Techniquesmentioning

confidence: 99%

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

Salguero¹,

Sol²,

Gómez-Parra³

et al. 2021

Advanced Aluminium Composites and Alloys

View full text Add to dashboard Cite

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.

show abstract

Section: Advanced Milling Techniquesmentioning

confidence: 99%

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

Salguero¹,

Sol²,

Gómez-Parra³

et al. 2021

Advanced Aluminium Composites and Alloys

View full text Add to dashboard Cite

show abstract

“…The method was used for flank and mirror milling and quantified the level of chatter based on the force signal. Muhammad et al [110] designed an active control system based on operational amplifier circuits where they can control the instant vibration, recording the acoustic signal with a microphone. Based on a dynamic model, the damping system changed the applied force so the chatter was reduced.…”

Section: Industrial Approachmentioning

confidence: 99%

Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches

et al. 2019

View full text Add to dashboard Cite

Thin-wall parts are common in the aeronautical sector. However, their machining presents serious challenges such as vibrations and part deflections. To deal with these challenges, different approaches have been followed in recent years. This work presents the state of the art of thin-wall light-alloy machining, analyzing the problems related to each type of thin-wall parts, exposing the causes of both instability and deformation through analytical models, summarizing the computational techniques used, and presenting the solutions proposed by different authors from an industrial point of view. Finally, some further research lines are proposed.

show abstract

“…Despite all advantages that turn-milling offers, turnmilling process monitoring is essential for preventing from development self-excited vibration known as chatter vibration, which can arise during machining at any time [3,4]. The chatter becomes a common limitation to productivity and part quality, accelerates tool wear, and damages the machine-tools shaft [5,6].…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis for Turn-Milling Process Monitoring using Empirical Mode Decomposition and Short-Time Fourier Transform

Agus

Azka

Arrosida

et al. 2023

Preprint

View full text Add to dashboard Cite

Turn-milling is a kind of machining process which widely applied in industries with large-sized workpieces. It is because turn-milling provides advantages for machining large-diameter mechanical parts with high speed, reducing cutting temperature due to the chips being broken, which in turn decreases tool wear. However, it needs to monitor the turn-milling process for preventing the onset of chatter during operation. It is due to the chatter becoming a limitation to productivity, part quality, accelerates tool wear, and machine-tool damage. One of the ways for turn-milling process monitoring is by vibration analysis. Acquired vibrations in the machining process are generally backgrounded by noises and the conventional filtered tools may have defiance for reducing them. It is significant to find signal processing tools for denoising noisy signals before further analysis. This paper presents the utilization of the empirical mode decomposition (EMD) method as an efficient and adaptive noise filter. The Short-Time Fourier Transform (STFT) improvement using EMD is then used for monitoring turn-milling process conditions in the energytime-frequency domain. The results showed that the reconstructed signal was quite impressive compared to the raw signal and the oscillation of the filtered signal was clearer than the raw signal. The improvement of the filtered signals was proved by the kurtosis index and spectral kurtosis. The kurtosis index had been improved 10 – 27 times more than raw signals. The improved STFT using EMD showed a significant spectrum with high resolution compared to conventional STFT. The energy density could be observed clearly in the machining characteristic frequencies with an improvement of about 10-100 times larger. The proposed method is therefore effectively applied to monitor the turn-milling condition.

show abstract

Active Damping of Milling Vibration Using Operational Amplifier Circuit

Cited by 13 publications

References 36 publications

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

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

Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches

Vibration Analysis for Turn-Milling Process Monitoring using Empirical Mode Decomposition and Short-Time Fourier Transform

Contact Info

Product

Resources

About