Study on the Method for the Optimization of Cutting Parameters

2006 ◽  
Vol 532-533 ◽  
pp. 325-328
Author(s):  
Jing Ying Zhang ◽  
Si Qin Pang ◽  
Qi Xun Yu
Keyword(s):  
Production Rate ◽  
Production Cost ◽  
Cutting Parameters ◽  
Computational Method ◽  
Profit Rate ◽  
Maximum Profit ◽  
Rate Minimum ◽  
Maximum Production Rate ◽  
Optimization Of Cutting Parameters ◽  
Very High

This article discusses the problem about the method for the optimization of cutting parameters. A newly developed computational method which is different from the former was used for the optimization of cutting parameters. This method has its advantages of the controllability of the precision and higher speed when the precision requirement of the system is not very high. It can optimize cutting parameters toward the objectives of maximum production rate, minimum production cost and maximum profit rate.

Optimization of Abrasive Life in Ultrasonic Machining

1985 ◽  
Vol 107 (4) ◽  
pp. 361-364 ◽  
Author(s):  
S. W. Dharmadhikari ◽  
C. S. Sharma
Keyword(s):  
Production Rate ◽  
Minimum Cost ◽  
Work Conditions ◽  
Ultrasonic Machining ◽  
Objective Functions ◽  
Profit Rate ◽  
Rate Functions ◽  
Sensitivity Studies ◽  
Maximum Production Rate

Based on two models of material removal in ultrasonic machining, developed in an earlier work, conditions for optimum abrasive life for the objective functions of minimum cost per unit volume of material removed, maximum production rate and maximum profit rate are presented. A simple nomogram is designed for the determination of optimum abrasive life. Sensitivity studies of production rate and profit rate functions are presented. An illustrative example highlights the application of the analysis.

Optimization of Cutting Parameters in Machining

2012 ◽  
Vol 549 ◽  
pp. 871-874
Author(s):  
Yu Hui Liu
Keyword(s):  
Mathematical Model ◽  
Cutting Speed ◽  
Minimum Cost ◽  
Cutting Parameters ◽  
Maximum Productivity ◽  
Maximum Profit ◽  
Optimization Of Cutting Parameters ◽  
Selection Of

The paper analyzes the reasonable selection of cutting parameters and states the relations among maximum profit-oriented cutting speed, minimum cost-oriented cutting speed and maximum productivity-oriented cutting speed. It establishes a mathematical model for the optimization of cutting parameters in machining.

Maximum Profit as the Criterion in the Determination of the Optimum Cutting Conditions

1966 ◽  
Vol 88 (4) ◽  
pp. 435-442 ◽  
Author(s):  
S. M. Wu ◽  
D. S. Ermer
Keyword(s):  
Production Rate ◽  
Cutting Speed ◽  
Minimum Cost ◽  
Practical Applications ◽  
Maximum Profit ◽  
Optimum Speed ◽  
Optimum Cutting ◽  
Maximum Production Rate ◽  
Selection Of

Maximum profit is an appropriate criterion for the selection of the optimum machining conditions rather than the conventional criteria of minimum cost or maximum production rate. A simple example is presented to illustrate the determination of the maximum-profit cutting speed by application of a fundamental economic principle that maximum profit occurs at the production rate where the marginal revenue equals the marginal cost. The effects of the demand function, feed, and cost and time parameters on the determination of the maximum-profit cutting speed are analyzed. Emphasis is given to the investigation of a range of optimum cutting speeds, instead of the theoretical optimum speed, for practical applications.

Optimization of Cutting Parameters Considering Surface Roughness When Milling AISI 304 Steel Using Coated Wc-Co and Tialn / Wc-Co Coated

2019 ◽  
Author(s):  
Murilo Pereira Lopes ◽  
Jose Rubens Gonçalves Carneiro ◽  
Gilmar Cordeiro da Silva ◽  
Carlos Eduardo Santos ◽  
Ítalo Bruno dos Santos
Keyword(s):  
Surface Roughness ◽  
Cutting Parameters ◽  
Aisi 304 ◽  
Aisi 304 Steel ◽  
Optimization Of Cutting Parameters

Prediction of Surface Roughness and Optimization of Cutting Parameters in CNC Turning of Rotational Features

2020 ◽  
Vol 38 (8A) ◽  
pp. 1143-1153
Author(s):  
Yousif K. Shounia ◽  
Tahseen F. Abbas ◽  
Raed R. Shwaish
Keyword(s):  
Surface Roughness ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Non Linear ◽  
Optimization Of Cutting Parameters

This research presents a model for prediction surface roughness in terms of process parameters in turning aluminum alloy 1200. The geometry to be machined has four rotational features: straight, taper, convex and concave, while a design of experiments was created through the Taguchi L25 orthogonal array experiments in minitab17 three factors with five Levels depth of cut (0.04, 0.06, 0.08, 0.10 and 0.12) mm, spindle speed (1200, 1400, 1600, 1800 and 2000) r.p.m and feed rate (60, 70, 80, 90 and 100) mm/min. A multiple non-linear regression model has been used which is a set of statistical extrapolation processes to estimate the relationships input variables and output which the surface roughness which prediction outside the range of the data. According to the non-linear regression model, the optimum surface roughness can be obtained at 1800 rpm of spindle speed, feed-rate of 80 mm/min and depth of cut 0.04 mm then the best surface roughness comes out to be 0.04 μm at tapper feature at depth of cut 0.01 mm and same spindle speed and feed rate pervious which gives the error of 3.23% at evolution equation.

Optimization of Cutting Parameters in Milling Process Using Genetic Algorithm and ANOVA (March 2020)

2020 ◽  
Vol 38 (10A) ◽  
pp. 1489-1503
Author(s):  
Marwa Q. Ibraheem
Keyword(s):  
Genetic Algorithm ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Optimal Value ◽  
Optimization Of Cutting Parameters

In this present work use a genetic algorithm for the selection of cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear. The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool. Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that is simultaneously optimized. Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present work.

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