Modelling tool path in wire electric discharge machining using Denavit–Hartenberg notation

This article focuses on comparing the performance of brass wire and zinc-coated brass wire that are widely used as the wire electrode in wire electrical discharge machining. To this end, an evolutionary computation method is presented based on non-dominated sorting genetic algorithm in order to find an optimization of rough cutting of the Ti-6Al-4V titanium alloy with the aid of response surface methodology modeling. This research examines the effects of three process parameters, namely, pulse on-time, pulse off-time, and peak current on the process outputs, that is, material removal rate, sparking gap, and white layer thickness. The obtained results indicated that zinc-coated wire was more predictable and it showed more reliable response in the experimental and modeling results. Additionally, the optimization results for both wires demonstrated the high performance of non-dominated sorting genetic algorithm approach to obtain the Pareto optimal set of solutions.

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“…That can make WEDM one of the best choices for precision machining as well as for machining supper hard materials and complex shapes. 3…”

Section: Introductionmentioning

confidence: 99%

“…That can make WEDM one of the best choices for precision machining as well as for machining supper hard materials and complex shapes. 3 Since the early 1970s, brass has become the most commonly used electrode material for WEDM. It was due to two properties: good dimensional accuracy and high electrical conductivity.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation

Golshan

Ghodsiyeh

Izman

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Wire movement is numerically controlled to achieve desired three-dimensional shape and high accuracy of the workpiece. This makes WEDM one of the best choices for precision machining, particularly for ''superhard'' materials and complex shapes [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of surface integrity after wire electro-discharge machining of Ti–6Al–4V

et al. 2019

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This article presents the relationship of machining parameters containing pulse-on time (T on), pulseoff time (T off), peak current (IP) and servo voltage (SV) on surface integrity characteristics, including white layer thickness (WLT), heat-affected zone (HAZ) and surface crack density (SCD) and also on material removal rate (MRR), after wire electric discharge machining of Ti-6Al-4V. Taguchi's method was utilized to design the experiments, and response surface methodology (RSM) was employed for developing the empirical models. Results indicated that T on and IP played a significant role on surface integrity characteristics. In addition, the microstructure of selected machined samples was analysed using a field emission scanning electron microscope (FESEM) and energy-dispersive X-ray (EDX) analysis. Accuracy of models was examined using residual analysis and confirmation runs. Finally, multi-response optimization of process parameters was obtained using desirability approach. Results can be used to improve the quality of the machined workpiece significantly to fulfil the requirements of the various industries. The novelty of this research is mainly investigation and multi-response optimization of all the surface integrity characteristics at the same time.

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Reverse Engineering Algorithm for Cutting of Ruled Geometries by Wire

Beaucamp¹,

Takeuchi²

2022

IJAT

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Abrasive wire cutting (AWC) and wire electric discharge machining (WEDM) are efficient and economical processes for the fabrication of precision parts from bulk material. Operating costs and manufacturing lead times are low compared to more general methods such as 5-axis CNC milling, turning, or electro-discharge machining. In this paper, an algorithm based on differential geometry in Euclidean space is proposed for reverse engineering of ruled geometries. The algorithm can determine whether a given geometry is producible by wire cutting, and can also derive the associated wire trajectories. Implementation is demonstrated by producing complex turbine blade geometries on 4-axis wire cutting machines with an overall shape accuracy of 20–40 μm peak-to-valley.

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Modelling tool path in wire electric discharge machining using Denavit–Hartenberg notation

Cited by 4 publications

References 8 publications

Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation

Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation

Experimental investigation of surface integrity after wire electro-discharge machining of Ti–6Al–4V

Reverse Engineering Algorithm for Cutting of Ruled Geometries by Wire

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