The influence of single-channel liquid CO2 and MQL delivery on surface integrity in machining of Inconel 718

Sterle, Luka; Mallipeddi, Dinesh; Krajnik, Peter; Pušavec, Franci

doi:10.1016/j.procir.2020.02.032

Cited by 21 publications

(7 citation statements)

References 27 publications

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“…It was investigated that an effective relation of LCO 2 flow rate is because of material hardening. [9] MQL, LCO According to the research of the literature, there aren't many studies that have been done on drilling duplex stainless steel 2205 using the MQL + LCO 2 machining technique and also parametric modeling through RSM, ANN, fuzzy under hybrid cooling process not done in past. Figure 3 shows the basic process of drilling [15].…”

Section: Ti6al4vmentioning

confidence: 99%

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Sharma

Jha

Pahuja

2023

J. Phys.: Conf. Ser.

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Duplex stainless steel (DSS) 2205 is considered difficult to cut machine materials. Therefore, an advanced cooling technique, such as a hybrid Liquid carbon dioxide (LCO2)-Minimum quantity of lubrication (MQL) approach, is proposed for drilling duplex stainless steel 2205. In this research study, parametric optimization was performed by using the Response surface method (RSM) with the box-Behnken design of the matrix. For parametric optimization, select three input parameters: drill diameter, spindle speed, and feed rate, while hole deviation and cylindricity error are output responses. The Analysis of variances (ANOVA) test showed that spindle speed is the major factor that influences both responses, e.g., hole deviation and cylindricity error, with contributions of 38.90% and 59.42%, respectively. The modeling and predictive abilities of developed Fuzzy logic system (FLS) and Artificial neural network (ANN) to the comparison of experimental results. It was also found that the predicted values from regression analysis, artificial neural networks, fuzzy logic interfaces, and the proposed method were in good agreement with actual experiment results. Also, the Artificial neural network model provides a minimum % of error of 1.36% and 2.44 %, respectively responses compared to other models.

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Section: Ti6al4vmentioning

confidence: 99%

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Sharma

Jha

Pahuja

2023

J. Phys.: Conf. Ser.

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“…Pušavec et al [200] studied the influence of LCO 2 (internal), LCO 2 + MQL, and LCO 2 + NMQL on the surface quality of 42CrMo4 workpiece in end-milling under different cutting parameters. Figure 49 shows a negative correlation between the friction coefficient of the workpiece surface and milling speed in different processing environments.…”

Section: Surface Qualitymentioning

confidence: 99%

Cryogenic minimum quantity lubrication machining: from mechanism to application

et al. 2021

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Cutting fluid plays a cooling-lubrication role in the cutting of metal materials. However, the substantial usage of cutting fluid in traditional flood machining seriously pollutes the environment and threatens the health of workers. Environmental machining technologies, such as dry cutting, minimum quantity lubrication (MQL), and cryogenic cooling technology, have been used as substitute for flood machining. However, the insufficient cooling capacity of MQL with normal-temperature compressed gas and the lack of lubricating performance of cryogenic cooling technology limit their industrial application. The technical bottleneck of mechanical—thermal damage of difficult-to-cut materials in aerospace and other fields can be solved by combining cryogenic medium and MQL. The latest progress of cryogenic minimum quantity lubrication (CMQL) technology is reviewed in this paper, and the key scientific issues in the research achievements of CMQL are clarified. First, the application forms and process characteristics of CMQL devices in turning, milling, and grinding are systematically summarized from traditional settings to innovative design. Second, the cooling-lubrication mechanism of CMQL and its influence mechanism on material hardness, cutting force, tool wear, and workpiece surface quality in cutting are extensively revealed. The effects of CMQL are systematically analyzed based on its mechanism and application form. Results show that the application effect of CMQL is better than that of cryogenic technology or MQL alone. Finally, the prospect, which provides basis and support for engineering application and development of CMQL technology, is introduced considering the limitations of CMQL.

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“…In the same way, Panda et al 19 concluded that the MQL technique can give better performance on productivity, surface finish, and reduce tool wear compared to dry machining. Sterle et al 20 studied five different cooling and lubrification strategies in finishing machining. They concluded that flood lubrification obtained better results for surface roughness, but the MQL technique had a further positive impact on surface integrity.…”

Section: Introductionmentioning

confidence: 99%

Optimization of machining parameters applied in hard turning of large components for cooling lubrication methods

Delijaicov

Alves

Bordinassi

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The increasing demands concerning renewable energy have required ever-bigger projects, as seen with wind turbine cases; in these large projects, the surface contact presents high load and wear resistance requirements. The cooling and lubrication methods in machining are highlighted due to the reduction of costs and environmental impacts. In functional hardened surfaces, it is critical to understand the integrity aspects once they significantly affect the durability of the component. This work clarifies, how the machining parameters of feed, depth of cut, velocity of cut, minimum quantity of lubrication, and abundant cooling affected the machined surface in a large component, with a discussion about microstructural altered layer, residual stresses, and Sa, Sq, and Sz statistical parameters. The results indicated that the minimum quantity lubrication and abundant cooling produced highly compressive circumferential residual stresses. Both methods produced surfaces free of significant microstructure altered layers. The altered surface layer was very thin when detected, with a thickness of up to 2.35 µm. On optimal conditions, the minimum quantity lubrication, in relation to abundant cooling, presented residual stresses 37% higher, a thickness of altered layer 74% lower, and Sa and Sz roughness, respectively, 47% and 11% lower and Sz 12% higher.

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The influence of single-channel liquid CO2 and MQL delivery on surface integrity in machining of Inconel 718

Cited by 21 publications

References 27 publications

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process

Cryogenic minimum quantity lubrication machining: from mechanism to application

Optimization of machining parameters applied in hard turning of large components for cooling lubrication methods

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