Pulse Discrimination for Electrical Discharge Machining With Rotating Electrode

Tee, Kotler Ter Pey; Hosseinnezhad, Reza; Brandt, Milan; Mo, John P.T.

doi:10.1080/10910344.2013.780559

Cited by 24 publications

(9 citation statements)

References 16 publications

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“…Developing a controlled RC-type PDS is crucial for comprehending diverse discharge pulses and their influence on MRR while enabling real-time tracking and compensation of electrode wear in EDM. Tee et al [ 103 ] studied PD for the EDM process with a turning tool. They depict a high performance of this process by discriminating the standard pulses from harmful pulses such as short circuits and open circuit pulses based on their determination of delay period.…”

Section: Online Tool Wear Compensationmentioning

confidence: 99%

An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining

Nadda,

Nirala,

Singh

et al. 2024

Heliyon

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Section: Online Tool Wear Compensationmentioning

confidence: 99%

An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining

Nadda,

Nirala,

Singh

et al. 2024

Heliyon

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“…A PDS is included in most current PD measuring systems. The PDS, which are focused on removing signals not originating from the examined items, allow for the suppression of disturbance from the environment [82][83][84]. In Figure 5, the important components co-existed to provide a complete PDS for important noise suppression filter operation.…”

Section: Pd Uhf Antenna Design and Related Design Improvementmentioning

confidence: 99%

A Contemporary Review of High Voltage Partial Discharge Detection and Recognition Techniques

Bohari¹,

Isa²,

Bakar³

et al. 2023

ARFMTS

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This review article provides a summary of the most advanced approaches and advancements in the detection and recognition of high voltage partial discharge (PD). It discusses numerous detecting technologies, such as electrical, acoustic, and optical approaches, as well as their merits and disadvantages. It also discusses current developments in signal processing and pattern recognition algorithms used for PD detection and classification. Lastly, the study covers the challenges and limitations in high voltage PD detection and identification studies, as well as potential future solutions.

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“…Some of the models have not used a current probe data which can limit the accuracy of the classification (Janardhan and Samuel, 2010). Also, many of the proposed classification systems are not associated with a failure prediction system which limits the functionality of such models (Ter et al, 2013).…”

Section: Pulse Classification Systemsmentioning

confidence: 99%

Performance monitoring and failure prediction system for wire electric discharge machining process through multiple sensor signals

Abhilash

Chakradhar

2022

Machining Science and Technology

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The study aims to develop a pulse classification algorithm to understand wire electric discharge machining (wire EDM) process stability and performance based on the discharge pulse characteristics. Also, a process data driven failure prediction system is proposed. The wire EDM monitoring system includes high sampling rate differential probes and current probes. The features extracted through pulse train analysis were spark discharge energy, ignition delay time, spark frequency, and proportion of various discharges. A pulse discrimination algorithm was proposed which classifies the discharges into open circuit sparks, arc discharges, short circuit sparks, and normal sparks. It was observed that, higher proportions of short circuit pulses resulted in inferior part quality. The differences in the pulse cycle during stable and unstable machining was studied, based on the extracted features. It was found that the discharge frequency and the proportion of arc and short circuit pulses were extremely high before the wire breakages. An artificial neural network (ANN) model was developed to predict the process responses, like cutting speed and surface roughness, from the process data. Also, an intelligent algorithm was developed based on the extracted in-process data to predict the unstable conditions leading to machining failures.The accuracy of the algorithm was confirmed to be very high by conducting confirmation tests.

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Pulse Discrimination for Electrical Discharge Machining With Rotating Electrode

Cited by 24 publications

References 16 publications

An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining

An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining

A Contemporary Review of High Voltage Partial Discharge Detection and Recognition Techniques

Performance monitoring and failure prediction system for wire electric discharge machining process through multiple sensor signals

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