A force-measuring-based approach for feed rate optimization considering the stochasticity of machining allowance

2018 ◽  
Vol 97 (5-8) ◽  
pp. 2545-2556 ◽  
Author(s):  
Zhongxi Zhang ◽  
Ming Luo ◽  
Dinghua Zhang ◽  
Baohai Wu
Keyword(s):  
Feed Rate ◽  
Machining Allowance ◽  
Rate Optimization ◽  
Feed Rate Optimization

Multi-objective feed rate optimization of three-axis rough milling based on artificial neural network

2021 ◽  
Vol 114 (5-6) ◽  
pp. 1323-1339
Author(s):  
Jiejun Xie ◽  
Pengyu Zhao ◽  
Pengcheng Hu ◽  
Yang Yin ◽  
Huicheng Zhou ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Feed Rate ◽  
Multi Objective ◽  
Rough Milling ◽  
Artificial Neural ◽  
Rate Optimization ◽  
Feed Rate Optimization

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.

Feed-Rate Optimization of Ball End Milling Considering Local Shape Features

CIRP Annals ◽  
1997 ◽  
Vol 46 (1) ◽  
pp. 433-436 ◽  
Author(s):  
C.N. Chu ◽  
S.Y. Kim ◽  
J.M. Lee ◽  
B.H. Kim
Keyword(s):  
Feed Rate ◽  
End Milling ◽  
Shape Features ◽  
Local Shape ◽  
Ball End Milling ◽  
Rate Optimization ◽  
Feed Rate Optimization

Simulation Study on Feed Rate Optimization Technique Based on Generalized Predictive Control

2013 ◽  
Vol 572 ◽  
pp. 555-558
Author(s):  
Xia Li ◽  
Hong Bin Liang ◽  
Shu Zhi Zhang
Keyword(s):  
Predictive Control ◽  
Feed Rate ◽  
Optimization Technique ◽  
Adaptive Controller ◽  
Open Architecture ◽  
Generalized Predictive Control ◽  
Software Modules ◽  
Rate Optimization ◽  
Cnc Controller ◽  
Feed Rate Optimization

Optimization is an important way to improve the machining quality, efficiency, security and safety. In traditional way, feed rate is specified off-line in CAM system by process planner, which leads to the low machining efficiency. In the paper feed rate optimization technique based on generalized predictive control is researched. The open architecture is adopted to develop an adaptive controller, where the feed rate can be real-time adjusted in CNC system according to the measured cutting force. An open CNC controller with the function of feed rate optimization is implemented, which consists of a series of software modules. Simulation experiment has been finished to prove the proposed method.

Statistical Modeling Approach for Optimization of a Stationary Hook Hopper

2011 ◽  
Vol 110-116 ◽  
pp. 2821-2828
Author(s):  
Astha Kukreja ◽  
Pankaj Chopra ◽  
Akshay Aggarwal ◽  
Pradeep Khanna
Keyword(s):  
Experimental Design ◽  
Statistical Model ◽  
Process Parameters ◽  
Feed Rate ◽  
Process Model ◽  
Basic Principles ◽  
Factors Influencing ◽  
Series Of Experiments ◽  
Rate Optimization ◽  
Feed Rate Optimization

The work aims at the optimization of the output feed rate of a Stationary Hook Hopper Feeder so that the best possible set of parameters affecting it can be selected to get the desired output. For this purpose the effect of various parameters on the feeder output is studied. To facilitate the study and detailed analysis, a statistical model is constructed which is used to predict and optimize the performance of the system. Efficient feed rate optimization determines the input variable settings to adjust the feed rate of the feeder according to the consumption of the parts in the next phase of production. The Stationary Hook Hopper Feeder, whose performance is to be studied, consists of a rotating circular plate and a guiding hook fixed at the centre and running up to the periphery of the plate. As the plate rotates, the parts follow the trajectory of the hook, orient themselves and then eventually are delivered through the delivery chute, tangentially to the plate. The factors influencing the feeder’s performance include the speed of rotation of the disc, the population of the parts in the hopper and the size of parts to be fed. A series of experiments is performed on the three process parameters to investigate their effect on the feed rate. To study the interaction among the factors a full 23 factorial experiment approach has been adopted using the two basic principles of experimental design-replication and randomization. The process model was formulated based on Analysis of variance (ANOVA) using Minitab® statistical package. The outcome is represented graphically and in the form of empirical model which defines the performance characteristics of the Stationary Hook Hopper Feeder.

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