Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment

Jamil, Muhammad; Zhao, Wei; He, Ning; Gupta, Munish Kumar; Sarıkaya, Murat; Khan, Aqib Mashood; R, Sanjay M.; Siengchin, Suchart; Pimenov, Danil Yurievich

doi:10.1016/j.jclepro.2020.125374

Cited by 113 publications

(29 citation statements)

References 26 publications

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“…According to the thermophysical properties at elevated temperatures, titanium alloy Ti-6Al-4V is considered as the best material to manufacture parts in medical or euro space industry [1,2]. However, machining Ti-6Al-4V is complicated because the temperature is usually very high in the contact area between the workpiece and the cutting tool [3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Nguyen

Dung

2021

Eng. Technol. Appl. Sci. Res.

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Titanium and its alloys give immense specific strength, imparting properties such as corrosion and fracture resistance, making them the right candidate for medical and aerospace applications. There is a wide range of engineering applications that use titanium alloys in a variety of forms. The cost of these alloys is slightly higher in comparison to other variants due to the problematic extraction of the molten process. To reduce costs, titanium alloy products could be made by casting, isothermal forging, radial swaging, or powder metallurgy, although these techniques require some kind of finishing machining process. Titanium and its alloys are difficult to machine due to skinny chips leading to a small cutting tool-workpiece contact area. The thermal conductivity of titanium alloys is too low and the stress produced is too large due to the small contact area, which results in very high cutting temperatures. This paper deals with the experimental study of the influence of the Minimum Quantity Lubricant (MQL) environment in the milling of Ti-6Al-4V alloy considering the optimization of surface roughness and production rate. Taguchi-based TOPSIS and ANOVA were used to analyze the results. The experimental results show that MQL with vegetable oil is successfully applied in the milling of Ti-6Al-4V. The research confirms the suitability of TOPSIS in solving the Multiple Criteria Decision Making (MCDM) issue, by choosing the best alternative at Vc=120m/min, fz=0.065mm/tooth, and ap=0.2mm, where the surface roughness and material removal rate are 0.41µm and 44.1492cm3/min respectively. Besides, ANOVA can be used to predict the best parameters set in the milling process based on the regression model. The parameters predicted by ANOVA analysis do not coincide with any implemented parameters

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Section: Introductionmentioning

confidence: 99%

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Nguyen

Dung

2021

Eng. Technol. Appl. Sci. Res.

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“…In some cases, the concept of the three dimensions can be expanded with additional categories and their respective indicators. For example, Jamil et al [38], in an assessment of the sustainability of welding processes, included the final properties of the weld as an additional category, termed physical performance, and Bork et al [39] related the economic pillar to a technological one in a unified "economic-technological" pillar.…”

Section: Sustainability Assessment In Manufacturingmentioning

confidence: 99%

Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles

et al. 2021

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Abrasive Waterjet Machining (AWJM) is considered a viable alternative to conventional machining processes, due to its capability of rendering even complex features on parts with high productivity. However, it is currently also important for manufacturing processes to comply with the various aspects of sustainability, by putting emphasis on the environmental dimension apart from the economic. Although AWJM generally is considered an inherently environmentally friendly process, it is required that thorough experimental studies be carried out to evaluate the sustainability of AWJM under various conditions. In the present work, AWJM experiments under various conditions were conducted on a Ti-6Al-4V workpiece in order to determine the optimal conditions leading to a high degree of sustainability in this process based on several indicators. The experiments were carried out using glass beads, which act as an eco-friendly abrasive. After the basic outcome of the experiment was analyzed to determine the correlations between process parameters and depth of penetration, kerf width, and kerf taper angle, sustainability analysis with the aid of Grey Relational Analysis (GRA) was conducted. The optimum solution provided a sufficiently high score regarding both the economic and environmental dimensions of sustainability.

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“…On another work, Mihn et al (Minh, The, & Bao, 2017) measured the performance of nanofluid addition on surface roughness during hard milling of 60Si2Mn steel. According to the researchers (Jamil et al, 2021), MQL conditions produced better surface roughness compared to dry milling. In milling of AISI O2 using MQL system, borax and boric acid additives were used in order to improve machinability.…”

Section: Introductionmentioning

confidence: 99%

Surface Roughness Evaluation in Milling of Strenx 1100 Steel under MQL Conditions

Kuntoğlu¹

2021

European Journal of Science and Technology

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Strenx 1100 is one of the most important structural steel characterized by upmost mechanical properties, generally preferred for loadbearing applications at many engineering fields such as marine and crane. Minimum quantity lubrication (MQL) is a method that presents sustainable machining with applying pulverized oil into the cutting zone, proved it by obtaining better machinability characteristics compared to conventional approaches. Surface roughness is a response parameter reflects the quality of a machined part in a certain degree which should be produced as per the industrial requirements. This paper focuses on the surface roughness (Ra) evaluation of Strenx 1100 steel during milling under MQL conditions. Taguchi design of experiments were utilized with combining three levels of cutting speed (vC), feed rate (f) and depth of cut (aP) in order to create L9 orthogonal array. The findings are discussed using analysis of variance (ANOVA), signal-to-noise ratio (S/N) based optimization and 3d surface plots. According to the results, it is observed that the first level of cutting parameters namely vC=75 m/min, f=0.075 mm/rev and aP=0.25 mm need to be selected for optimization of response parameter while feed rate has more influence (66.9%) than depth of cut (22.5%) and cutting speed (0.4%) on surface roughness. Graphical representations exhibit the general trend of surface roughness which provides chance to selection of accurate cutting conditions for required response value.

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Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment

Cited by 113 publications

References 26 publications

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles

Surface Roughness Evaluation in Milling of Strenx 1100 Steel under MQL Conditions

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