id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_fmu36dlyd5h77k73ph7i57ew4a	Luis Rubio	Model-based expert system to automatically adapt milling forces in Pareto optimal multi-objective working points	2013	33	.pdf	application/pdf	9742	969	61	Model-based Expert System to Automatically Adapt Milling Forces in order to automatically select cutting parameters in milling operations. optimal front solutions can be obtained modulating the weighting factors of the cost function. Furthermore, a database which relates weighting factors, cutting conditions and cost function variables is As a result, the expert rule-based system selects Pareto optimal cutting conditions for a broad range of adaptive control of milling forces; the third covers constraints of the spindle and feed drives The admissible input parameter-space subject to cutting force control and spindle motor power Rule 10: Pareto optimal cutting parameter selection In order to achieve certain process or machine tool requirements in the cost function variables, cutting parameters are those which lead to a Pareto optimal value of the cost function depending Table 4: Weighting factors and their associated cutting parameters and cost function values. of an expert rule based system for cutting parameter selection in the milling processes.	./cache/work_fmu36dlyd5h77k73ph7i57ew4a.pdf	./txt/work_fmu36dlyd5h77k73ph7i57ew4a.txt