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Full-Text Articles in Engineering Education
Evaluation And Modeling Of The Effect Of Tool Edge Radius On Machined Surface Roughness In Turning Uns A92024-T351 Aluminum Alloy, Ning Fang, P. Srinivasa Pai
Evaluation And Modeling Of The Effect Of Tool Edge Radius On Machined Surface Roughness In Turning Uns A92024-T351 Aluminum Alloy, Ning Fang, P. Srinivasa Pai
Engineering Education Faculty Publications
Tool edge radius plays a significant role in affecting the surface integrity of machined products. The vast majority of existing research, however, takes no account of the effect of tool edge radius in the evaluation and modeling of machined surface roughness, an essential indicator of surface integrity. The present study fills this important research gap and has performed a total of 45 turning experiments on Unified Numbering System (UNS) A92024-T351 aluminum alloy with carefully selected cutting tools with three levels of tool edge radii. This article describes the experimental setup and measurements of tool edge radius and machined surface roughness. …
A New Computational Intelligence Approach To Predicting The Machined Surface Roughness In Metal Machining, Ning Fang, P. Srinivasa Pai
A New Computational Intelligence Approach To Predicting The Machined Surface Roughness In Metal Machining, Ning Fang, P. Srinivasa Pai
Engineering Education Faculty Publications
Machined surface roughness is an important parameter used in the evaluation of the surface integrity of machined parts and components. This paper proposes a new computational intelligence approach to predicting the machined surface roughness in metal machining. In this approach, wavelet packet transform (WPT) is incorporated into artificial neural networks (ANN) to develop two ANN models for predicting average roughness Ra and root-mean-square roughness Rq, respectively. Each model has eight inputs, including the cutting speed, the feed rate, energy of wavelet packets for three cutting force components, and energy of wavelet packets for three cutting vibration components. Forty-five machining experiments …