Precision manufacturing of turbine wheel slots by trim-offset approach of WEDM

Sharma, Priyaranjan; Chakradhar, D.; Narendranath, S.

doi:10.1016/j.precisioneng.2021.03.018

Cited by 25 publications

(10 citation statements)

References 23 publications

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“…These are discussed in the present study. After experimenting, Sharma et al (2021b) observed that when flushing was not done properly after discharge pulses of high electrical energy, there was a substantial amount of micro-holes, melted alloy droplets, and a crater on the surfaces that had been cut using WEDM. A most commendable recommendation offered by Farooq et al (2020) was that to reduce geometric deviations from the intended geometry of a machined workpiece, a wire offset could be introduced, along with optimized parameters, within a range of 0.169mm -0.173mm.…”

Section: Problems/issues Unaccounted For and Solutions Proposed To Pr...mentioning

confidence: 99%

“…Chaudhari et al (2021),Sharma et al (2021a), andSharma et al (2021b) minimized Recast Layer Thickness (RLT). Manjaiah et al (2015), Takale & Chougule.…”

mentioning

confidence: 99%

“…Sharma et al (2021), Farooq et al (2020) maximized profile accuracy; Majumder & Maity (2018), Chaudhari et al (2019) and Takale & Chougule (2019) minimized microhardness (MH) in their studies. The least common output parameters observable are machining speed (MS), as maximized byRoy et al (2020); morphology, as maximized bySharma et al (2021); hardness alteration, minimized bySharma et al (2021b), geometric deviation, minimized byFarooq et al (2020); residual stresses and shape recovery ability, minimized and maximized respectively byTakale & Chougule (2019); and tool wear rate (TWR), minimized byKulkarni et al (2020).…”

mentioning

confidence: 99%

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Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review

Adeniran

Oke

2022

IJIEM

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When nitinol is machined, quantitative details regarding the surfaces such as the surface crack density, utmost peak-to-valley heights, recast layer thickness and the mean peak-to-valley height among others offer the most appropriate features to consider in the integrity of the surfaces of machined nitinol. This quantitative information directs the integrity and the projected future performance of the machined nitinol in the components. Consequently, the research question of how to achieve optimal surface integrity of the machined nitinol is important. A literature review is conducted to study the surface integrity analysis of wire electrical discharged machined nitinol. In particular, published papers between 2007 and 2021 have been reviewed. Literature is explored concerning the method of analysis, parameters of research interest and the problems/issues arising from the literature. Diverse methods were employed to evaluate the surface integrity of nitinol after machining. Commonly, both mathematical optimization and microstructural characterizations are used to suggest ideas. Mathematical optimization has been in two broad perspectives, namely, experimental design-based methods such as orthogonal arrays, signal-to-noise ratios, Taguchi's utility and quality loss function, Box-Behnken design and response surface methodology. The non-traditional optimization schemes such as the differential evolution, multi-objective optimization based on ratio analysis and teaching learning-based optimization have been applied. For microstructural characterization, tools to evaluate the surface integrity of nitinol such as field emission scanning electron microscope and energy dispersive X-ray have been deployed. Parameters such as residual stress, geometric deviation, microhardness and profile accuracy are pursued to be optimized. It is known that various literature reviews in previous years have studied the surface integrity problem of nitinol using large-scale approaches. However, in this article, a brief review is prescribed and this work reveals how the surface integrity analysis of nitinol has been tackled in the literature.

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Section: Problems/issues Unaccounted For and Solutions Proposed To Pr...mentioning

confidence: 99%

“…Chaudhari et al (2021),Sharma et al (2021a), andSharma et al (2021b) minimized Recast Layer Thickness (RLT). Manjaiah et al (2015), Takale & Chougule.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review

Adeniran

Oke

2022

IJIEM

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“…Among the treatment conditions of the micro-WEDM process that significantly affect the morphology and roughness of the surface is the number of trim offsets. Sharma et al [ 14 ] and Burek et al [ 15 ] indicated that surface morphology significantly depends on the number of machining passes. The use of additional passes allows a decrease in the parameters of surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods

2022

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Precise machining of micro parts from difficult-to-cut materials requires using advanced technology such as wire electrical discharge machining (WEDM). In order to enhance the productivity of micro WEDM, the key role is understanding the influence of process parameters on the surface topography and the material’s removal rate (MRR). Furthermore, effective models which allow us to predict the influence of the parameters of micro-WEDM on the qualitative effects of the process are required. This paper influences the discharge energy, time interval, and wire speed on the surface topography’s properties, namely Sa, Sk, Spk, Svk, and MRR, after micro-WEDM of Inconel 718 were described. Developed RSM and ANN model of the micro-WEDM process, showing that the discharge energy had the main influence (over 70%) on the surface topography’s parameters. However, for MRR, the time interval was also significant. Furthermore, a reduction in wire speed can lead to a decrease in the cost process and have a positive influence on the environment and sustainability of the process. Evaluation of developed prediction models of micro-WEDM of Inconel 718 indicates that ANN had a lower value for the relative error compared with the RSM models and did not exceed 4%.

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“…The complexity of the physical phenomena occurring in the WEDM process, which are determined both by the parameters and the machining conditions, cause new solutions to be constantly sought. Main attention is focused on providing the appropriate dimensional and geometric accuracy of the cut elements and obtaining the appropriate efficiency of the process [12][13][14][15][16]. Increasing demand for wear-resistant of manufactured microelements causes surface texture properties in many cases to play a key role.…”

Section: Introductionmentioning

confidence: 99%

Analysis of surface topography after micro-wire electrical discharge machining of nickel-based superalloy

Oniszczuk-Świercz

Świercz

REMPALSKA

et al. 2022

METAL 2022 Conference Proeedings

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Micro-mechanisms are one of the main areas of development in manufacturing technology widely used in various production fields. Currently, new microelements are made of superalloys due to the high requirements of corrosion resistance and temperature resistance. Furthermore, effective methods of making micro elements are sought, which on the one hand will ensure the appropriate dimensional and shape accuracy and, on the other hand, the expected surface quality. Conducted research was focused on analyzing the influence of micro wire electrical discharge machining on the parameters of selected surface topography features, which directly impact the tribological properties of the surface of micro parts. The effect of the WEDM parameters on the functional parameters of the surface texture: Sk -the roughness of the core, Spk -the roughness of the peak, Svk -the roughness of the valleys are presented and discussed.

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Precision manufacturing of turbine wheel slots by trim-offset approach of WEDM

Cited by 25 publications

References 23 publications

Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review

Surface Integrity Analysis of Wire Electric Discharge Machining of Nitinol Shape Memory Alloy: A Literature Review

Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods

Analysis of surface topography after micro-wire electrical discharge machining of nickel-based superalloy

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