Kinematics and improved surface roughness model in milling

Liu, Dewei; Li, Changhe; Dong, Lan; Qin, Ai-guo; Zhang, Yanbin; Yang, Min; Gao, Teng; Wang, Xiaoming; Liu, Mingzheng; Cui, Xin; Ali, Hafız Muhammad; Sharma, Shubham

doi:10.1007/s00170-022-10729-8

Cited by 28 publications

(7 citation statements)

References 73 publications

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“…However, in sticking zone the lubrication effect is not much superior due to permanent contact of tool-chip for small interval of time and thus increases the wear rate on the rake face of tool [ 104 , 105 ]. On the other hand, the impingement of GnP-nano MQL in TDZ produces the handsome cooling and lubrication action and hence lower flank wear as compared to rake face [ 106 , 107 ]. The same effect has also been observed in SEM image shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

A novel study on the influence of graphene-based nanofluid concentrations on the response characteristics and surface-integrity of Hastelloy C-276 during minimum quantity lubrication

Singh,

Sharma,

Seikh

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

A novel study on the influence of graphene-based nanofluid concentrations on the response characteristics and surface-integrity of Hastelloy C-276 during minimum quantity lubrication

Singh,

Sharma,

Seikh

et al. 2023

Heliyon

Self Cite

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“…To overcome this challenge, we employed the WOA, LSA, GAMNU, WHHO, and CNGPS algorithms in this study. These algorithms have demonstrated high accuracy and good performance in previous studies, making them suitable for designing the MPPT circuit in our research [74][75][76][77][78]. The optimum parameters of the PV cell are accumulated in Table 6.…”

Section: Regardless Of the Effect Of Uncertainty Andmentioning

confidence: 92%

An Innovative MPPT Method Based on the Estimated Model of the Photovoltaic Cell considering the Environmental Conditions

Karizaki,

Ahmadi Kamarposhti,

Sedighi

2023

International Journal of Energy Research

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In this paper, a novel adaptive photovoltaic maximum power point tracking (MPPT) circuit is proposed, called AT2MPPT. The AT2MPPT circuit is based on a type two fuzzy logic set and utilizes a detailed two-diode model of a solar cell, as well as an innovative hybrid algorithm for designing the MPPT circuit. The effects of environmental conditions such as azimuth, wind speed, wind direction, and irradiation, as well as the uncertainty of radiation intensity, are taken into account in the solar cell model. It is demonstrated that changes in environmental conditions can cause up to a 20% change in the PV parameters. To optimize the AT2MPPT parameters and fuzzy membership functions (MFs), a hybrid lightning search algorithm and whale optimization algorithm (hLSA-WOA) are proposed. The accuracy of the hLSA-WOA is evaluated by comparing its results with those of other optimization algorithms on 10 standard benchmarks. The simulation results indicate that the hLSA-WOA has high accuracy and is nontrapping in local optima. Finally, the proposed AT2MPPT circuit is used to track the MPPT of a PV array in partial shade, and its performance is compared with that of P&O and fuzzy MPPT circuits. The results confirm the superior performance of the AT2MPPT circuit, which produces 1.1% more power than the other two circuits. Additionally, the AT2MPPT circuit has lower power ripple and tracking time compared to perturb, observation, and fuzzy MPPT circuits.

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“…Figure 2 is constructed to present the main components of a cyber-physical system for machining processes. Virtual models for machining states such as cutting force [44] and surface roughness [45,46] have been widely investigated. The main approach for estimating cutting forces is to use cutting coefficients extracted from orthogonal cutting tests for a specific set of tool-workpiece materials.…”

Section: Framework Of Cyber-physical Systems For Machining Processesmentioning

confidence: 99%

Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review

Gohari,

Hassan,

Shi

et al. 2024

Sensors

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The fifth Industrial revolution (I5.0) prioritizes resilience and sustainability, integrating cognitive cyber-physical systems and advanced technologies to enhance machining processes. Numerous research studies have been conducted to optimize machining operations by identifying and reducing sources of uncertainty and estimating the optimal cutting parameters. Virtual modeling and Tool Condition Monitoring (TCM) methodologies have been developed to assess the cutting states during machining processes. With a precise estimation of cutting states, the safety margin necessary to deal with uncertainties can be reduced, resulting in improved process productivity. This paper reviews the recent advances in high-performance machining systems, with a focus on cyber-physical models developed for the cutting operation of difficult-to-cut materials using cemented carbide tools. An overview of the literature and background on the advances in offline and online process optimization approaches are presented. Process optimization objectives such as tool life utilization, dynamic stability, enhanced productivity, improved machined part quality, reduced energy consumption, and carbon emissions are independently investigated for these offline and online optimization methods. Addressing the critical objectives and constraints prevalent in industrial applications, this paper explores the challenges and opportunities inherent to developing a robust cyber–physical optimization system.

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Kinematics and improved surface roughness model in milling

Cited by 28 publications

References 73 publications

A novel study on the influence of graphene-based nanofluid concentrations on the response characteristics and surface-integrity of Hastelloy C-276 during minimum quantity lubrication

A novel study on the influence of graphene-based nanofluid concentrations on the response characteristics and surface-integrity of Hastelloy C-276 during minimum quantity lubrication

An Innovative MPPT Method Based on the Estimated Model of the Photovoltaic Cell considering the Environmental Conditions

Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review

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