Comparative investigation and optimization of turning process parameters using Taguchi technique in turning of Inconel 718

Bohidar, Shailendra Kumar; Gupta, Vikram Kumar; Surakasi, Raviteja; Gift, M. D. Mohan; Madhavarao, S.; Janardhana, Kedri

doi:10.1016/j.matpr.2022.02.397

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…12 Various DL-based techniques are devised in Dörner et al 13 and O'Shea et al 14 for managing interference in signals. These techniques 15,16 have imperative impacts on the enhancement of performance, and it utilized DL-based AE, which is a most emerging technique for interference-free channels. Many techniques are devised that offered a brief outline of physical layer DL and previous models based on 5G systems.…”

Section: Introductionmentioning

confidence: 99%

Hybrid optimization‐based deep neuro‐fuzzy network for designing m‐user multiple‐input multiple‐output interference channel

Reddy,

Ravi Kumar

2023

Int J Communication

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SummaryMultiple‐input multiple‐outputs (MIMOs) have eminent quality in maximizing the throughput of wireless communication models. In MIMO, the antenna arrays can be utilized for fulfilling the needs of 5G by utilizing various spatial signatures of users. Even though 5G communication is imminent, there exist issues, like network interference that arise due to reused frequency spectrum resources. This delving presents an optimized deep model for suppressing interference occurring in the Rayleigh channel in the multiple‐user MIMO (MU‐MIMO) model. Here, an MU‐MIMO model is employed with correlated interference wherein there exist various users around the base station (BS) with several antennas at the transmitter and receiver. Here, a deep neuro‐fuzzy network (DNFN) is used to upgrade the performance of detectors underneath correlated interference. Here, the model comprises zero forcing‐maximum likelihood detection (ZF‐MLD) that assists to generate an initial estimate of broadcasted signals in a particular time slot. The DNFN is used to capture latent correlation among several symbols. Here, the DNFN training is performed using developed autoregressive Henry gas spider monkey optimization (RHGSMO), which is the combination of conditional autoregressive value at risk (CAViaR), Henry gas solubility optimization (HGSO), and spider monkey optimization (SMO). With the lowest symbol error rate (SER), bit error rate (BER), and signal to interference and noise ratio (SINR), the suggested RHGSMO‐based DNFN performed better than existing approaches.

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Section: Introductionmentioning

confidence: 99%

Hybrid optimization‐based deep neuro‐fuzzy network for designing m‐user multiple‐input multiple‐output interference channel

Reddy,

Ravi Kumar

2023

Int J Communication

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“…This may require a bi-disciplinary mathematical method of the turning operation in the context of relating the parameters and outcomes of the turning operation to economic parameters (Tebaldo et al, 2017;Kim et al, 2021;Cesén et al, 2022;Bohidar et al, 2022). This linkage guarantees a balanced assessment of the health of the turning operation since the information used on the operations floor also reflects the sustainability of the plant regarding the machining economics of the process (Tebaldo et al, 2017;Fernandes et al, 2020;Şirin et al, 2021;Cesén M., et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Application of Integrated Taguchi Method and Present-Worth Method to Optimize the Turning Parameters of Inconel X750 Alloy With Al2o3 Nanofluid in Coconut Oil

et al. 2023

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A previous study has shown the successful application of the Taguchi method in both the direct and indirect perspectives to compute the optimal parameters during the turning of Inconel x-750 alloy. The study deployed signal-to-noise ratios to minimize the output of surface roughness, tool wear and cutting force but the machining economic parameters were not mentioned. Yet, the techno-economic dimension of machining aids profitable adjustments of the turning operations. To correct this deficiency, the present article introduces a techno-economic dimension to the turning process using literature data. This paper is about combining three variants of the Taguchi methods in five distinct formulations. The Taguchi, Taguchi-Pareto and Taguchi-ABC methods are combined with the present worth method by introducing the interest rate and inflationary rate at different points in the S/N ratio (SNR) calculations. Aspect ratios and direct parameter combinations replace the traditional direct parameter analysis in the factor-level framework. The present worth, optimal parametric setting and performance flow analysis are needed for all five formulations to ascertain the direction of performance analysis for the turning process. Concerning the direct and aspect ratios, the cutting velocity (PWV, 949.1444) and the feed rate-cutting velocity ratio (PWF/V, 0.026) are the first and last positions, respectively. Regarding the Taguchi experimental run, the present worth of the feed rate-cutting velocity ratio (PWF/V, -155.403) was the first position while the present worth of the cutting velocity (PWV, -185.009) is the last position. Results for other formulations show promising attributes for the methods. The work could be useful for planning purposes in turning operations.

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A secure and efficient authentication and multimedia data sharing approach in IoT-healthcare

Yempally

Singh

Velliangiri

2023

The Imaging Science Journal

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Comparative investigation and optimization of turning process parameters using Taguchi technique in turning of Inconel 718

Cited by 4 publications

References 12 publications

Hybrid optimization‐based deep neuro‐fuzzy network for designing m‐user multiple‐input multiple‐output interference channel

Hybrid optimization‐based deep neuro‐fuzzy network for designing m‐user multiple‐input multiple‐output interference channel

Application of Integrated Taguchi Method and Present-Worth Method to Optimize the Turning Parameters of Inconel X750 Alloy With Al2o3 Nanofluid in Coconut Oil

A secure and efficient authentication and multimedia data sharing approach in IoT-healthcare

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