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Modelling of Machining Characteristics During Green Machining of Biomaterials
Titanium and its alloys are gaining much attention in the biomedical field. Their biocompatibility makes them first choice for implants. However, machining of titanium is still a challenge owing to its unique properties. Beside this, industries are also looking for a solution to the economical and ecological machining of titanium and its alloys. Current research discusses a probable solution to it. This paper presents the modelling of machining characteristics during the green machining of titanium alloy. In this work, experimentation is performed with varying cutting speed, feed, and depth of cut following response surface methodology (RSM) approach. After that, the experimental results are analyzed and employed to develop an interactive model using back-propagation neural network (BPNN) technique. It is witnessed that the developed BPNN model is of higher accuracy than RSM model. Cutting inserts are further examined to gain a deeper insight into the process. Confirmation runs are also performed for adequacy check of the developed models.
Modelling of Machining Characteristics During Green Machining of Biomaterials
Titanium and its alloys are gaining much attention in the biomedical field. Their biocompatibility makes them first choice for implants. However, machining of titanium is still a challenge owing to its unique properties. Beside this, industries are also looking for a solution to the economical and ecological machining of titanium and its alloys. Current research discusses a probable solution to it. This paper presents the modelling of machining characteristics during the green machining of titanium alloy. In this work, experimentation is performed with varying cutting speed, feed, and depth of cut following response surface methodology (RSM) approach. After that, the experimental results are analyzed and employed to develop an interactive model using back-propagation neural network (BPNN) technique. It is witnessed that the developed BPNN model is of higher accuracy than RSM model. Cutting inserts are further examined to gain a deeper insight into the process. Confirmation runs are also performed for adequacy check of the developed models.
Modelling of Machining Characteristics During Green Machining of Biomaterials
J. Inst. Eng. India Ser. C
Kumar, Pawan (author) / Misra, Joy Prakash (author)
Journal of The Institution of Engineers (India): Series C ; 101 ; 847-859
2020-10-01
13 pages
Article (Journal)
Electronic Resource
English
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