دورية أكاديمية

Computer Aided Engineering Performance Analysis of Lathe Machine Spindle using Field Generated Data.

التفاصيل البيبلوغرافية
العنوان: Computer Aided Engineering Performance Analysis of Lathe Machine Spindle using Field Generated Data.
المؤلفون: F. I., OGIDIAGBA, C. O., IZELU, U. P., ANAIDHUNO
المصدر: FUPRE Journal of Scientific & Industrial Research; 2024, Vol. 8 Issue 3, p263-280, 18p
مصطلحات موضوعية: LATHES, COMPUTER-aided design, SURFACE roughness, CUTTING force, MACHINING, FINITE element method
مستخلص: This research investigated the computer aided engineering performance analysis of a lathe machine spindle using field generated data. The Excel 360x1000 lathe in the FUPRE workshop has been used for numerous students training and project experiments using non-optimal settings, without evaluation of the spindle performance, productivity, and product surface finishing. This study analyzed the interaction between input [spindle speed, depth of cut and feed] and response [material removal rate and surface roughness of machined part] parameters, as well as evaluates the integrity of the lathe spindle during turning of AISI 1085 work-piece using carbide inserts. RSM was used for the design of the experiment and optimization of the process to obtain maximum material removal rate and minimal surface roughness. The turning process was also to modeled, utilizing maximum generated cutting forces acting on the spindle during machining to ascertain its resilience. Optimization of the dependent and independent variables proffered the best solution based on set constraints with a desirability of 0.788. The conducted Finite element analysis [static, dynamic, and fatigue] yielded spindle maximum deflection of 0.01432mm, maximum von mises stress of 18840000N/m^2, least natural frequency of 898.64Hz, and spindle remaining fatigue life of 100 million cycles. These findings infer that the lathe spindle is robust and optimal responses were achieved at a specific input configuration. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index