Development of in-Process Tool Wear Monitoring System for CNC Turning
نویسندگان
چکیده
منابع مشابه
Optimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System
Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...
متن کاملOptimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System
Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...
متن کاملDevelopment of a QFD-based expert system for CNC turning centre selection
Computer numerical control (CNC) machine tools are automated devices capable of generating complicated and intricate product shapes in shorter time. Selection of the best CNC machine tool is a critical, complex and time-consuming task due to availability of a wide range of alternatives and conflicting nature of several evaluation criteria. Although, the past researchers had attempted to select ...
متن کاملTransductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process
This paper presents the application to the modeling of a novel technique of artificial intelligence. Through a transductive learning process, a neuro-fuzzy inference system enables to create a different model for each input to the system at issue. The model was created from a given number of known data with similar features to data input. The sum of these individual models yields greater accura...
متن کاملResearch on Tool Wear Monitoring Method based on Project Pursuit Regression for a CNC Machine Tool
Tool wear is a major contributor to machining errors of a workpiece. Tool wear prediction is an effective way to estimate the wear loss in precision machining. In this study, all kinds of machining conditions are treated as the input variables, the wear loss of the tool is treated as the output variable, and Projection Pursuit Regression (PPR) algorithm is proposed to mapping the tool wear loss...
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: JSME International Journal Series C
سال: 2004
ISSN: 1344-7653,1347-538X
DOI: 10.1299/jsmec.47.933