Method for Feed-Rate Optimization Based on S Curve Acceleration and Deceleration Control of Piecewise Tool Path

2012 ◽  
Vol 542-543 ◽  
pp. 551-554
Author(s):  
Xiao Bing Chen ◽  
Wen He Liao
Keyword(s):  
Feed Rate ◽  
Tool Path ◽  
Complex Surface ◽  
Experimental Result ◽  
Threshold Method ◽  
Lower Efficiency ◽  
Acceleration And Deceleration ◽  
S Curve ◽  
Rate Optimization ◽  
Feed Rate Optimization

Aiming at the problem of lower efficiency of complex surface machining with constant feed-rate, a method for feed-rate optimization based on S curve acceleration and deceleration control of piecewise tool path is researched. With constraints of kinematic characters of machine tool and geometric characters of tool path, tool path segments are obtained by curvature threshold method, and feed-rates are planned in these segments, then feed-rate transition of adjacent segments is processed by the method of S curve acceleration and deceleration control. Experimental result indicates that the proposed method is feasible and effective.

Cross-directional feed rate optimization using tool-path surface

2020 ◽  
Vol 108 (7-8) ◽  
pp. 2645-2660
Author(s):  
Chen-Han Lee ◽  
Fangzhao Yang ◽  
Huicheng Zhou ◽  
Pengcheng Hu ◽  
Kang Min
Keyword(s):  
Feed Rate ◽  
Tool Path ◽  
Rate Optimization ◽  
Feed Rate Optimization

scholarly journals Experimental Study of Tool Path Strategies for Three and Five axes Milling along with Feed Rate Optimization

2016 ◽  
Vol 9 (43) ◽  
Author(s):  
Hamid Ramazani Sales ◽  
Hossein Amirabadi ◽  
Hossein Nouri Hosseinabadi ◽  
Mohammad Reza Bagheri
Keyword(s):  
Experimental Study ◽  
Feed Rate ◽  
Tool Path ◽  
Rate Optimization ◽  
Five Axes ◽  
Feed Rate Optimization

Small Line Segment Interpolation Algorithm for Smoothing Machining

2013 ◽  
Vol 842 ◽  
pp. 420-426
Author(s):  
Xiao Fei Bu ◽  
Hu Lin ◽  
Liao Mo Zheng ◽  
Han Zhang
Keyword(s):  
Feed Rate ◽  
Tool Path ◽  
Linear Acceleration ◽  
Machining Efficiency ◽  
Interpolation Algorithm ◽  
Machining Precision ◽  
Tool Paths ◽  
Rate Acceleration ◽  
Acceleration And Deceleration ◽  
S Curve

To make machining surface smoothing, a smoothing interpolation algorithm based on small line segments is proposed to meet the special requirements of smoothing machining. The algorithm takes the approach of s-curve acceleration and deceleration control for single tool path, yet between adjacent parallel trajectory adopts linear acceleration and deceleration control. This method enables feed rate between adjacent tool paths to transit continuously and meets the requirement of flexible and smooth machining. The article constructs a mathematical model of relationship among machining precision, maximum feed rate, acceleration, jerk and maximum allowable instantaneous feed rate to assure machining precision and machining efficiency. The model ensures that acceleration of single tool path and feed rate between parallel tool paths is continuous and simultaneously tries its best to enhance machining efficiency. In the end, the experiment result shows that the algorithm can meet the requirement of smoothing machining with an assurance of machining precision.

Virtual Five-Axis Flank Milling of Jet Engine Impellers—Part II: Feed Rate Optimization of Five-Axis Flank Milling

2008 ◽  
Vol 130 (1) ◽  
Author(s):  
W. B. Ferry ◽  
Y. Altintas
Keyword(s):  
Feed Rate ◽  
Tool Path ◽  
Fixed Time ◽  
Flank Milling ◽  
Tool Deflection ◽  
Jet Engine ◽  
Root Finding ◽  
Five Axis ◽  
Feed Rate Optimization ◽  
Chip Load

This paper presents process optimization for the five-axis flank milling of jet engine impellers based on the mechanics model explained in Part I. The process is optimized by varying the feed automatically as the tool-workpiece engagements, i.e., the process, vary along the tool path. The feed is adjusted by limiting feed-dependent peak outputs to a set of user-defined constraints. The constraints are the tool shank bending stress, tool deflection, maximum chip load (to avoid edge chipping), and the torque limit of the machine. The linear and angular feeds of the tool are optimized by two different methods—a multiconstraint based virtual adaptive control of the process and a nonlinear root-finding algorithm. The five-axis milling process is simulated in a virtual environment, and the resulting process outputs are stored at each position along the tool path. The process is recursively fitted to a first-order process with a time-varying gain and a fixed time constant, and a simple proportional-integral controller is adaptively tuned to operate the machine at threshold levels by manipulating the feed rate. As an alternative to the virtual adaptive process control, the feed rate is optimized by a nonlinear root-finding algorithm. The virtual cutting process is modeled as a black box function of feed and the optimum feed is solved for iteratively, respecting tool stress, tool deflection, torque, and chip load constraints. Both methods are shown to produce almost identical optimized feed rate profiles for the roughing tool path discussed in Paper I. The new feed rate profiles are shown to considerably reduce the cycle time of the impeller while avoiding process faults that may damage the part or the machine.

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