@article{(Open Science Index):https://publications.waset.org/pdf/10007017,
	  title     = {An Alternative Approach for Assessing the Impact of Cutting Conditions on Surface Roughness Using Single Decision Tree},
	  author    = {S. Ghorbani and  N. I. Polushin},
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, an approach to identify factors affecting on surface roughness in a machining process is presented. This study is based on 81 data about surface roughness over a wide range of cutting tools (conventional, cutting tool with holes, cutting tool with composite material), workpiece materials (AISI 1045 Steel, AA2024 aluminum alloy, A48-class30 gray cast iron), spindle speed (630-1000 rpm), feed rate (0.05-0.075 mm/rev), depth of cut (0.05-0.15 mm) and tool overhang (41-65 mm). A single decision tree (SDT) analysis was done to identify factors for predicting a model of surface roughness, and the CART algorithm was employed for building and evaluating regression tree. Results show that a single decision tree is better than traditional regression models with higher rate and forecast accuracy and strong value.
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {11},
	  number    = {4},
	  year      = {2017},
	  pages     = {825 - 830},
	  ee        = {https://publications.waset.org/pdf/10007017},
	  url   	= {https://publications.waset.org/vol/124},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 124, 2017},
	}