Taguchi optimisation of Turning Inconel 600 under dry and MQL condition using uncoated Tool
نویسندگان
چکیده
منابع مشابه
Parametric Optimization on single objective Dry Turning using Taguchi Method
ABSTRACT The objective of this investigation is to obtain an optimal setting of process parameters in turning for maximizing the material removal rate of the manufactured component. The material removal rate has been investigated in this analysis while machining practically used components. As per Taguchi’s “Design of Experiments”, the number of experiments to be conducted in this analysis is c...
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Tool wear and surface roughness prediction plays a significant role in machining industry for proper planning and control of machining parameters and optimization of cutting conditions. This paper deals with developing an artificial neural network (ANN) model as a function of cutting parameters in turning steel under minimum quantity lubrication (MQL). A feed-forward backpropagation network wit...
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Manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. The material removal rate is a significant indicator of the productivity and cost efficiency of the process. Taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...
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The use of a minimum quantity of lubrication (MQL) with extremely low consumption of lubricant in machining processes has been reported as a technologically and environmentally feasible alternative to conventional flood cooling. In hot machining, the external heat source is applied during machining that will assist to increase machining performance. Many external heating techniques are availabl...
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ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2020
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202018401048