Sustainability and machinability improvement of Nimonic-90 using indigenously developed green hybrid machining technology

Khanna, Navneet; Agrawal, Chetan; Gupta, Munish Kumar; Song, Qinghua; Singla, Anil Kumar

doi:10.1016/j.jclepro.2020.121402

Cited by 50 publications

(15 citation statements)

References 60 publications

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“…Nimonic 90, one of the nickel-based superalloys, is found to be difficult to machine due to the abovementioned characteristics [2]. Several researches have been carried out to improve the machinability of Nimonic 90 by modifying/assisting the machining techniques such as minimum quantity lubrication (MQL) assisted turning [3,4], nanoparticle-based MQL and cryogenic-assisted machining [5], ultrasonic-assisted turning [6], and cryogenic-ultrasonic-assisted turning [7]. Moreover, to analyze the machinability of Nimonic, different nonconventional processes have also been carried out such as electrodischarge machining [8], wire-electro discharge machining [9], and laser beam machining.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Airao

Khanna

Roy

et al. 2020

Int J Adv Manuf Technol

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Many techniques have been developed to improve the machinability of aeronautical materials titanium and nickel-based alloys such as ultrasonic-assisted turning, laser-assisted turning, and cryogenic-assisted turning. This collaborative scientific investigation presents the steps taken to gain insight into the phenomena of machining Nimonic 90 (a nickel-based alloy) alloy using ultrasonically assisted turning. The cutting speed, feed rate, depth of cut, and frequency are taken as input parameters and average surface roughness (R a ), power consumption (P), and chip formation are considered as output parameters. The experiments are carried out with the full factorial design. The UAT (ultrasonically assisted turning) process gives a significant improvement in average surface roughness and power consumption because of the intermittent cutting action of the cutting tool. UAT process shows a 70-80% reduction in average surface roughness (R a ) and a 6-15% reduction in power consumption as compared with CT (conventional turning) process. Ultrasonically assisted turning also resulted in the thin and smoother chips as compared with CT process which helps to achieve a more superior machining effect. Finite element modeling shows that the quasi-static nature of the stress induced in the UAT process leads to lower force and ultimately lower power generation. Moreover, a sustainability assessment model is implemented to investigate the effect of UAT in terms of machining performance as well as sustainability effectiveness in a single integrated approach. The novelty of this work lies in providing an integrated concept that combines experimental analysis and sustainability assessment when using ultrasonic vibrational energy during turning of Nimonic 90.

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Section: Introductionmentioning

confidence: 99%

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Airao

Khanna

Roy

et al. 2020

Int J Adv Manuf Technol

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“…e chip color depends on the type of machining method adopted, such as dry, wet, or cryogenic, and input parameter variations, and the cutting temperature developed during machining. Furthermore, as per research, increasing the spindle speed, feed rate, and depth of cut could cause tool wear by maintaining the deteriorating value of Ra [7,9]. e feed rate acts as a vital parameter in association with Ra.…”

Section: Resultsmentioning

confidence: 99%

“…Khanna et al [9] examined machinability and supportability of Nimonic 90 crossbreed turning when contrasted with LN 2 turning. ey revealed better execution utilizing CUAT than LN 2, turning as far as surface quality and energy utilization.…”

Section: Introductionmentioning

confidence: 99%

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling

Karthik

Malghan²,

Kara

et al. 2021

Advances in Materials Science and Engineering

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The paper aims to investigate the processing execution of SS316 in manageable machining cooling ways such as dry, wet, and cryogenic (LN2-liquid nitrogen). Furthermore, “one parametric approach” was utilized to study the influence and carry out the comparative analysis of LN2over dry and LN2over wet machining conditions. Response surface methodology (RSM) is incorporated to build a relationship model among the considered independent variables (spindle speed: (S, rpm), feed rate (F, mm/min), and depth of cut (doc) (D, mm)) and the dependent variable (surface roughness (Ra)). Since there is the involvement of more than one independent variable, the generation of regression equation is “multiple linear regression.” Based on the attained coefficient value of the independent variable, the respective impact on surface roughness is identified. The results of comparative analysis of LN2over dry and LN2over wet machining states revealed that LN2 machining yielded better surface finish with up to 64.9%, 54.9% over dry and wet machining, respectively, indicating the benefits of LN2 for achieving better Ra. The benchmark function of the proposed mode hybrid-bias (BNN-SVR) algorithm showcases the propensity to emerge out of the local minimum and coincide with the optimal target value. The performance of the (BNN-SVR) is a prevalent new ability to fetch the partially trained weights from the BNN model into the SVR model, thus leading to the conversion of static learning capability to dynamic capability. The performances of the adopted prediction approaches are compared through a range of attained error deviation, i.e., (RA: 3.95%–8.43%), (BNN: 2.36%–5.88%), (SVR: 1.04%–3.61%), respectively. Hybrid-bias (BNN-SVR) is the best suitable prediction model as it provides significant evidence by attaining less error in predicting Ra. However, SVR surpasses BNN and RSM approaches because of the convergence factor and narrow margin error.

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“…Several studies investigated their proposed SM technologies through application case studies. Automotive [109,138,139], machinery [133,136,140], food [113,127], and medical [114] sectors were noted as the application sectors in the latest SM technology research.…”

Section: Thematic Map Of Sustainable Manufacturing Technology Researchmentioning

confidence: 99%

“…The sustainability indicators studied in the articles were codified and extracted, and key indicators were identified for each TBL sustainability dimension, as presented in Fig- Cutting environment was evidenced as the key theme of the latest sustainable machining body of knowledge (70% of articles categorised under sustainable machining), with SM technology studies studying the elimination of lubrication substances through cryogenic [138,139], dry machining [128,140] and indirect cooling [141], or their reduction/optimisation through minimum quantity lubrication (MQL) techniques [142,143].…”

Section: Sustainability Indicators Studiedmentioning

confidence: 99%

Sustainable Manufacturing Technologies: A Systematic Review of Latest Trends and Themes

Bastas

2021

Sustainability

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Meeting current needs while not sacrificing the future ability to do so as a key sustainability concept is becoming more challenging than ever, with the increasing population rate, energy poverty, global warming, and surging demand for products and services. Manufacturing is in a prime position to address this challenge, with its significant economic contribution to the global GDP and its high influence over the environment and humanity. Sustainable manufacturing technologies research is growing to support our journey towards sustainable development. This article undertook the systematic review of state-of-the-art sustainable manufacturing technologies literature, evidencing the latest themes and trends in this important research avenue. Descriptive and thematic analyses were performed, synthesising the latest advancements in the field. Sustainable manufacturing processes, especially sustainable machining, was established as a key theme, including research endeavours of elimination of lubricants. Various manufacturing systems and process sustainability assessment technologies were noted. Sustainability indicators addressed were critically evaluated. As an outcome, a conceptual framework of sustainable manufacturing technology research was constructed to structure the knowledge acquired and to provoke future thinking. Finally, challenges and future directions were provided for both industrial and academic reader base, stimulating growth in this fruitful research stream.

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Sustainability and machinability improvement of Nimonic-90 using indigenously developed green hybrid machining technology

Cited by 50 publications

References 60 publications

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Influence of Support Vector Regression (SVR) on Cryogenic Face Milling

Sustainable Manufacturing Technologies: A Systematic Review of Latest Trends and Themes

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