ANALYSIS ON POWER CONSUMPTION FOR LIFE CYCLE SUSTAINABILITY ASSESSMENT IN HARD TURNING OF AISI 4140 STEEL USING SPPP-AlTiSiN-COATED CARBIDE TOOL UNDER VARIOUS CUTTING ENVIRONMENTS

被引:1
|
作者
Roy, Soumikh [1 ]
Pradhan, Arupam [1 ]
Padhan, Smita [1 ]
Das, Anshuman [2 ]
Das, Sudhansu Ranjan [1 ]
Dhupal, Debabrata [1 ]
机构
[1] Veer Surendra Sai Univ Technol, Dept Prod Engn, Burla 768018, Odisha, India
[2] DIT Univ, Dept Mech Engn, Dehra Dun 248001, Uttaranchal, India
关键词
Hard turning; HSLA steel; coated tool; machining cost; sustainability; LCA; COOLING TECHNIQUES; PERFORMANCE; NANOFLUIDS; DRY; MACHINABILITY; FLUIDS; PVD; MQL; CVD;
D O I
10.1142/S0218625X24500434
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
High strength low alloy (HSLA) AISI grade 4140 is grabbing the eyes of automobile industries for its superior properties. However, the production of finished components of HSLA steel by machining under dry environment is challenging owing to high cutting temperature and friction. The usage of low-cost coated carbide tools and environment-friendly cooling-lubrication approach are thereof being given importance for the past few decades for economic and sustainable machining. In this study, the power consumption (Pc) during the hard turning process of AISI 4140 steel was analyzed using an AlTiSiN-coated carbide tool under various cutting environment conditions, including dry cutting, flooded cutting, and nanofluid-MQL cutting. For this study, the nanofluid was prepared by blending MWCNT nanoparticles with an environmentally friendly automotive radiator coolant, which served as the base fluid. Briefly, the cooling-lubrication performance is investigated by comparing the machining responses like machined surface morphology, tool wear, cutting force, and temperature. The variance analysis was adopted to determine the significance level of experimental parameters (speed, feed, nose radius, depth of cut, cutting environments) affecting the Pc. To predict and optimize Pc during hard turning with machining variables, the response surface method (RSM) was proposed. Following the predictive modeling and optimization, the results were applied for economic assessment and for energy saving carbon footprint evaluation. This innovative research also addresses comparative sustainability evaluation in hard turning under different C/L environments using life cycle assessment (LCA) towards cleaner and safer production. Results indicate that cutting speed was the most influential item on Pc enhancement. Furthermore, as compared to dry and flooded turning, lower cutting force, reduced cutting temperature, shorter width of flank wear, and better surface morphology are obtained under nanofluid-MQL machining. It is experienced that nanofluid-MQL machining outperformed towards sustainability improvement concerning techno-economically viable societal acceptable and environment friendliness.
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页数:26
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