Integration of Cutting Parameter Selection and Tool Adjustment Decisions for Multipass Turning

2001 ◽  
Vol 17 (12) ◽  
pp. 861-869 ◽  
Author(s):  
M. Liang ◽  
M. Mgwatu ◽  
M. Zuo
Keyword(s):  
Parameter Selection ◽  
Cutting Parameter ◽  
Multipass Turning

Standardization and System Implementation of Cutting Parameter Selection Process

2012 ◽  
Vol 505 ◽  
pp. 11-14 ◽  
Author(s):  
Yu Bai ◽  
Yan Cao ◽  
Xiao Fen Zhang
Keyword(s):  
Selection Process ◽  
Cutting Parameters ◽  
Scientific Basis ◽  
Parameter Selection ◽  
Flow Management ◽  
Management Framework ◽  
Cutting Parameter ◽  
Cutting Processes ◽  
Selection Of ◽  
Made In

The goal of the paper is to design a system that helps to select cutting parameters in cutting processes. The approach is based on industrial engineering methods. The result is the parameters that take into account all the existing restrictive factors. First, a reasonable process to select cutting parameters is proposed. And then, the corresponding tools are designed. To achieve the standardization of the resources and process of cutting parameter selection, the resource contents and query actions are made in a uniform form. Finally, the selection of cutting parameters is realized within a flow management framework. It provides a scientific basis for selecting cutting parameters in actual production

Analysis of the Complex Parts NC Cutting Parameter Selection and Optimization

2013 ◽  
Vol 443 ◽  
pp. 290-293
Author(s):  
Bo Tang
Keyword(s):  
High Speed ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Parameter Selection ◽  
Numerical Control ◽  
High Speed Cutting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization ◽  
Set Up ◽  
Complex Parts

In the study of high speed cutting technology of complex parts, cutting methods and techniques must be closely combined with the selection of geometric parameters of cutting tool materials and cutting tool integrated. Numerical control machine tools and cutting tools without good guidance technology, cannot give full play to the advantages of NC machining. Based on this, this article mainly aimed at the complex parts NC cutting parameter selection, therefore cutting parameter optimization mathematical model is set up, and optimize it.

Design and Implementation of Cutting Parameter Selection System in Standardization Data and Modular Approach

2012 ◽  
Vol 562-564 ◽  
pp. 684-687
Author(s):  
Yu Bai ◽  
Dan Yang ◽  
Xiao Fen Zhang
Keyword(s):  
Cutting Parameters ◽  
Scientific Basis ◽  
Parameter Selection ◽  
Modular Approach ◽  
Selection System ◽  
Management Framework ◽  
Cutting Parameter ◽  
Design And Implementation ◽  
Selection Of ◽  
Made In

The paper is to design a system that helps to select cutting parameters in standardization data and modular approach. The approach is based on industrial engineering methods defined by modular. The result is the parameters that take into account all the existing restrictive factors. First, a reasonable process to select cutting parameters is proposed. And then, the corresponding tools are designed. To achieve the standardization of the resources and process of cutting parameter selection, the resource contents and query actions are made in a uniform form. Finally, the selection of cutting parameters is realized within a management framework. It provides a scientific basis for selecting cutting parameters in actual production.

CBR-Based Cutting Parameter Selection System and Searching Algorithm for Metal Machining Operations

2013 ◽  
Vol 710 ◽  
pp. 554-557 ◽  
Author(s):  
Yan Cao ◽  
Sen Cao ◽  
Yu Bai ◽  
Xiao Fei Yang
Keyword(s):  
Management System ◽  
Nearest Neighbor ◽  
Initial Conditions ◽  
Cutting Parameters ◽  
Parameter Selection ◽  
Database Management System ◽  
Case Based Reasoning ◽  
Selection System ◽  
Cutting Parameter ◽  
Searching Method

At present, most factories choose cutting parameters only depending on experience or handbooks in production. To improve the intelligent level of cutting parameter selection, Case-Based Reasoning (CBR) is used to search rational cutting parameters. The structure of a CBR-based cutting parameter selection system is presented and its functional modules are discussed. CBR-based cutting parameter selection system is mainly composed of case base management system, cutting parameter database management system, application, interface, etc. A complete case is composed of four parts, i.e., objectives, initial conditions, constraints and results. The system adopts hierarchical searching method in combination with nearest neighbor method. It provides a scientific approach for selecting cutting parameters in actual production.

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