TESTING OF THE PHOTOTHERMAL IGNITION DESIGN MODEL BASED ON EXPERIMENTAL DATA

2017 ◽  
pp. 75-78
Author(s):  
M. Grokhotov ◽  
Keyword(s):  
Experimental Data ◽  
Design Model ◽  
Model Based

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

An Approach to Generate Three Dimensional Machining Process Model According to Information from Design Model Based on Definition

2016 ◽  
Vol 693 ◽  
pp. 1684-1692 ◽  
Author(s):  
Hong Lei Zhang ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen An Yang
Keyword(s):  
Process Model ◽  
Three Dimensional ◽  
Design Model ◽  
Machining Process ◽  
Model Generation ◽  
Geometric Models ◽  
Model Based

Faced with the problem of generation for 3D machining process model, an approach to generate three dimensional machining process model according to information from design model based on definition is proposed. Compared with the existing methods, the approach utilizes multiple information of design model based on definition and takes many phases into consideration of 3D process model generation. The structure of 3D machining process model is defined and the course of 3D process model generation is researched, including multiple information acquirement, generation of procedure geometric models and annotation. Finally, the framework of system and application for 3D machining process model generation are presented for validation purposes.

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