Linear programming feedrate optimization
نویسندگان
چکیده
Abstract This paper focuses on two aspects of feedrate optimization via linear programming methods. Namely, the effect curve sampling time optimality resultant profile and a method adaptation in response to override command. A comparison three distinct approaches (uniform parameter, uniform arc length curvature adaptive) is performed series standard tool path curves. Results show that curvature-adaptive approach leads substantial machining reduction for curves displaying high degree variation. Secondly, by which new can be calculated command developed. The formulates set boundary conditions control point sequence such way resulting guaranteed coincide with currently active up moment command, while minimizing necessary transition newly commanded feedrate.
منابع مشابه
Toolpath Feedrate Optimization: A Case Study
The goal of this research is to improve the productivity of Numerically Controlled (NC) machine tools by optimization of feedrate settings. In this paper we compare the maximum cutting forces and cutting times using traditional methods with those achieved using the optimization methods developed in our research. Results indicate that significant productivity gains can be realized using the feed...
متن کاملOn the optimization of Dombi non-linear programming
Dombi family of t-norms includes a parametric family of continuous strict t-norms, whose members are increasing functions of the parameter. This family of t-norms covers the whole spectrum of t-norms when the parameter is changed from zero to infinity. In this paper, we study a nonlinear optimization problem in which the constraints are defined as fuzzy relational equations (FRE) with the Dombi...
متن کاملTime optimal feedrate generation with confined tracking error based on linear programming
In this paper, the problem of time optimal feedrate generation under confined feedrate, axis accelerations, and axis tracking errors is considered. The main contribution is to reduce the tracking error constraint to constraints about the axis velocities and accelerations, when the tracking error satisfies a second order linear ordinary differential equation. Based on this simplification on the ...
متن کاملLinear Programming and Network Optimization
Here, C denotes a column vector of cost coefficients, X a column vector of variables, A = [ai,j ] is a coefficient matrix, B is a column vector representing the bounds in the inequalities and the multiplication operation is matrix multiplication. Linear programs arise in a wide range of applications and can be solved efficiently. The classical simplex algorithm has been very successful in pract...
متن کاملPortfolio optimization problems with linear programming models
In this paper, we discuss four models proposed by Konno, Cai, Teo and Markowitz respectively. Two groups of data (one from 33 securities over 72 months, the other from 63 securities over 120 months) are used to examine these models. Efficient frontiers are presented. The utility levels in the four models do not decrease at the same rate with the change of the risk-aversion factor. Cai’s model p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Journal of Advanced Manufacturing Technology
سال: 2022
ISSN: ['1433-3015', '0268-3768']
DOI: https://doi.org/10.1007/s00170-022-08708-0