Autor: |
Cherafa, Hamza, Yallese, Mohamed Athmane, Boucherit, Septi |
Předmět: |
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Zdroj: |
Journal of Manufacturing Technology Research; 2021, Vol. 13 Issue 3/4, p119-143, 25p |
Abstrakt: |
The 'PA66-GF30' fulfils a crucial role amid the mechanical industry, particularly within the mechanical manufacturing on grounds of its high performances like the rigidity/weight ratio and high resistance. It is nowadays wont to be employed instead common metallic materials in assorted industrial fields. However, it's machining presents enormous difficulties pertained to the wear of the cutting tools and thus the damage entailed to the machined sub-surface. It's within this circumstance that the contemporary survey has been elaborated. It reports the outgrowths of an experimental survey concerning the modelling and optimization of cutting variables throughout the dry turning of glass fibre reinforced polyamide 'PA66-GF30' using coated carbide tools. Surface roughness (Ra), tangential force (Fz), cutting power (P) and material removal rate (MRR) are formulated in terms of cutting speed (Vc), feed rate (f), depth of cut (ap) and tool nose radius (r). The experiments were fulfilled consistent with the orthogonal table L18. The Response Surface Methodology (RSM) based quadratic models are wont to predict the response factors before machining, and then the ANOVA is further applied to ascertain and rate the cutting criteria. The ANOVA result reveals that the factors affecting Ra are f and thus r, whereas those influencing Fz are f and then ap. It had been establish that the MRR and P are together influenced by ap and Vc respectively. Desirability Function multi-objective optimization was further applied to seek out the most favourable regime that minimizes (Ra, Fz, P) and maximizes (MRR). [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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