“…The characterization of machinability and environmental impact of cryogenic turning of titanium alloy conducted by Damir et al [ 61 ] found that cryogenic coolant performed better than flooded coolant by decreasing 15% cutting forces, and better surface finish and tool life were also obtained. In recent study, Danish et al [ 62 ] investigated the effect of cryogenic and dry machining on the surface integrity of AZ31C magnesium alloy. The authors concluded that cryogenic-assisted machining was able to produce improved surface finish in comparison to dry machining by margin close to 50% as shown in Fig.…”
Section: Types Of Coolant Deliverymentioning
confidence: 99%
“… Fig. 19 Cryogenic cooling performance on surface roughness [ 62 ] Fig. 20 a , b Effect of cryogenic and dry machining on microhardness improvement of magnesium alloy [ 62 ] …”
This paper reviews recent progress and applications of usage of cutting fluids in conventional machining processes. In addition to reviewing the various conventional and advanced cooling techniques during machining, the paper also discusses the use of minimum quantity lubrication (MQL) in several types on metals such as steel, aluminum, alloy, and titanium alloys. Due to the toxicity of conventional cutting fluid resulting in ecological problems, the demand for environmentally friendly cutting fluid is rising. Therefore, natural vegetable oil is chosen as potential replacement as an environmentally friendly cutting fluid which fulfills the important aspects of biodegradability and sustainability. Application of vegetable oil-based cutting fluids under MQL techniques are also discussed. Moreover, the potential of palm oil as biodegradable and environmentally friendly natural vegetable oil-based metal-working fluids in MQL are reviewed.
“…The characterization of machinability and environmental impact of cryogenic turning of titanium alloy conducted by Damir et al [ 61 ] found that cryogenic coolant performed better than flooded coolant by decreasing 15% cutting forces, and better surface finish and tool life were also obtained. In recent study, Danish et al [ 62 ] investigated the effect of cryogenic and dry machining on the surface integrity of AZ31C magnesium alloy. The authors concluded that cryogenic-assisted machining was able to produce improved surface finish in comparison to dry machining by margin close to 50% as shown in Fig.…”
Section: Types Of Coolant Deliverymentioning
confidence: 99%
“… Fig. 19 Cryogenic cooling performance on surface roughness [ 62 ] Fig. 20 a , b Effect of cryogenic and dry machining on microhardness improvement of magnesium alloy [ 62 ] …”
This paper reviews recent progress and applications of usage of cutting fluids in conventional machining processes. In addition to reviewing the various conventional and advanced cooling techniques during machining, the paper also discusses the use of minimum quantity lubrication (MQL) in several types on metals such as steel, aluminum, alloy, and titanium alloys. Due to the toxicity of conventional cutting fluid resulting in ecological problems, the demand for environmentally friendly cutting fluid is rising. Therefore, natural vegetable oil is chosen as potential replacement as an environmentally friendly cutting fluid which fulfills the important aspects of biodegradability and sustainability. Application of vegetable oil-based cutting fluids under MQL techniques are also discussed. Moreover, the potential of palm oil as biodegradable and environmentally friendly natural vegetable oil-based metal-working fluids in MQL are reviewed.
“…A huge enhancement towards surface quality was found in the cryogenic turned examples. With cryogenic machining, greater microhardness was achieved, i.e., 98.6 HV from 53.7 HV [8].…”
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.
“…Based on the study the most significant parameter on the multiple performances is found to be the depth of cut. Danish et al (2019) investigated the influence of cryogenic machining of AZ31C magnesium alloy on surface integrity parameters. The cryogenic machining has improved the surface integrity, quality, corrosion resistance and reduces ignition risk.…”
Magnesium alloys is a lightweight material establishing scope in various fields such as aerospace and automobile. Moreover, magnesium alloys are also considered as a hydrogen storage materials. In order to understand the machining behaviour of magnesium alloy a detail research is planned. In this research the turning experiments are conducted on AZ91 magnesium alloy using the L9 orthogonal array (OA) experimental design. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) coupled with Taguchi and Analysis of Variance (ANOVA) methods are used to analysis the experiments. The influence of cryogenic soaking duration, feed, speed and depth of cut on cutting temperature, surface roughness and cutting force were studied. Based on the TOPSIS analysis the optimal combination for the better response is cryogenic soaking time of 30 min, speed of 500 rpm, feed of 40 mm/min and depth of cut of 0.3mm. As per F value the depth of cut shows the 0.4822 and next best factors are cutting speed and feed rate. The chip analysis reveals that the cryogenic soaking duration level of 60 min is found to reduce the self-ignited chips.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
