The Development of Virtual Machining System Based on ACIS

2007 ◽  
Vol 10-12 ◽  
pp. 860-863
Author(s):  
J. Wu ◽  
Ying Xue Yao ◽  
J.G. Li
Keyword(s):  
Process Simulation ◽  
Manufacturing Industry ◽  
Machining Process ◽  
Virtual Machining ◽  
Nc Machine Tool ◽  
Machining Process Simulation ◽  
Machining System ◽  
Nc Machine ◽  
Swept Volume ◽  
High Degree

The NC machine tool is widely used in today's manufacturing industry. In this paper, a framework of the NC lathing dynamic simulation system is presented and the machining process simulation is developed based on the solid modeling method with ACIS geometric engine and 3D graphic display. The tool swept volume is designed and Boolean difference of the cutter swept volume with the raw stock in the system is calculated. The user or trainee can practice all operations, procedures and skills in complete safety, while maintaining a high degree of realism.

Application Analysis of Virtual Simulation Technology in NC Machining

2013 ◽  
Vol 579-580 ◽  
pp. 331-334
Author(s):  
Xiu Yang Hu ◽  
Yong Xiang Li ◽  
Hong Wang ◽  
Kai Long Huang
Keyword(s):  
Nc Machining ◽  
Simulation System ◽  
Virtual Simulation ◽  
Machining Process ◽  
Simulation Technology ◽  
Integrated Simulation ◽  
Virtual Machining ◽  
Machining Process Simulation ◽  
Machining System ◽  
Nc Machine

With the help of the computer simulation technology, the virtual machining simulation system of NC machine tool was built based on the integrated simulation module of the UG NX software. Through setting the NC machine parameter of the virtual machining system, the machining process simulation of the typical parts in virtual environment was completed, which implements the collision and interference checking in the process of NC machining and verifies the correctness of NC programs. Finally, the simulation results prove that the assembly modeling method of virtual simulation system for the NC machining is feasible, and the simulation of machining process can effectively determine the mutual interference problem of the machining system, which lays the foundation for effectively preventing the collision accident.

Research on Technologies of Augmented Reality for CNC Machining Process Simulation

2013 ◽  
Vol 579-580 ◽  
pp. 276-282 ◽  
Author(s):  
Zhi Yan Ma ◽  
Guang You Yang ◽  
Xu Wu Su
Keyword(s):  
Process Simulation ◽  
Physical Simulation ◽  
Removal Rate ◽  
Cnc Machining ◽  
Numerical Control ◽  
Machining Process ◽  
Numerical Control Machining ◽  
Machining Process Simulation ◽  
Machining System ◽  
Real Machine

Based on Virtual Numerical Control machining system (VNC), a new method of Augmented Numerical Control machining system (ANC) which aims at the realization of NC machining process simulation in real machining environment is put forward. The System inputs continuous video images of real NC processing environment through camera to identify and locate the major machining and positioning parts of real machine in the image stream. And the virtual parts of VNC will be matched to the corresponding real ones of real machining system to achieve the registration of ANC. The NC system drives the virtual machining models for processing through a real machine. On the other hand, the actual running information of CNC machine are imported into the ANC system to drive some models of process variables such as cutting force, material removal rate, chip shape, tool temperature, cutting tool wear. ANC provides the platform to integrate the geometry and physical simulation based on actual information from real CNC machining environment.

Research on Solving Method for Tooth Crest Curve of Spiral Bevel Gear under Form Milling

2010 ◽  
Vol 139-141 ◽  
pp. 1255-1259
Author(s):  
Xiu Ting Wei ◽  
Jing Cheng Liu ◽  
Qiang Du
Keyword(s):  
Coordinate System ◽  
Process Simulation ◽  
Machining Process ◽  
Geometric Transformation ◽  
Spiral Bevel Gear ◽  
Bevel Gears ◽  
Machining Process Simulation ◽  
System 2 ◽  
Spiral Bevel ◽  
Curve Equation

Combining the machining process simulation on UG NX software and the mathematically analysis, a new solving method for the tooth crest curve equation of spiral bevel gears is proposed in this paper. The steps are as follows:1) Establishing the gear blank cone equation in the original coordinate system; 2) Finding the gear convex and concave profile equations in the new coordinate system; 3) Integrating the original coordinate system and the new one through geometric transformation and then deducing the tooth crest curve equations on both sides. The equations will help calculate the cutter’s position and pose in addendum chamfering process, with the chamfer automation achieved.

scholarly journals Development of smart machining system for optimizing feedrates to minimize machining time

2017 ◽  
Vol 5 (3) ◽  
pp. 299-304 ◽  
Author(s):  
Hong-seok Park ◽  
Bowen Qi ◽  
Duck-Viet Dang ◽  
Dae Yu Park
Keyword(s):  
Cutting Force ◽  
Machining Process ◽  
Cnc Machine ◽  
Machining Time ◽  
Virtual Machining ◽  
Milling Operations ◽  
Nc Program ◽  
Machining System ◽  
Optimal Feed ◽  
Smart Machining

Abstract Feedrate optimization is an important aspect of getting shorter machining time and increase the potential of efficient machining. This paper presents an autonomous machining system and optimization strategies to predict and improve the performance of milling operations. The machining process was simulated and analyzed in virtual machining framework to extract cutter-workpiece engagement conditions. Cutting force along the cutting segmentation is evaluated based on the laws of mechanics of milling. In simulation, constraint-based optimization scheme was used to maximize the cutting force by calculating acceptable feedrate levels as the optimizing strategy. The intelligent algorithm was integrated into autonomous machining system to modify NC program to accommodate these new feedrates values. The experiment using optimized NC file which generates by our smart machining system were conducted. The result showed autonomous machining system, was effectively reduced 26%. Highlights The smart machining system was implemented in the CNC machine. Optimal feed rates enhance machine tool efficiency. The smart machining system is reliable to reduce machine time.

Error Compensation of a NC Machining System Based on a Dynamic Feedback Neural Network

2011 ◽  
Vol 52-54 ◽  
pp. 1890-1894 ◽  
Author(s):  
Huang Lin Zeng ◽  
Yong Sun ◽  
Xiao Hong Ren ◽  
Li Xin Liu
Keyword(s):  
Neural Network ◽  
Error Compensation ◽  
Nc Machining ◽  
Machining Process ◽  
Dynamic Feedback ◽  
Machining System ◽  
Nc Machine ◽  
Feedback Neural Network ◽  
Set Up ◽  
Errors Analysis

Machining error of a NC machining system is a kind of comprehensive error in dynamically machining process; especially it is of errors with non-linear characteristics. In this paper, we will set up a kind of model of comprehensive errors analysis for a NC machining system and present an error compensation for high-precision a NC machining system by a dynamic feedback neural network embedded in a NC machine tool. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.

scholarly journals Surface Roughness Prediction and Minimization in 5-Axis Milling Operations of Gas Turbine Blades

2021 ◽  
Author(s):  
Arameh Eyvazian ◽  
Farayi Musharavati ◽  
Afrasyab Khan ◽  
Mohsen Soori ◽  
Tamer A. Sebaey ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Gas Turbine ◽  
Turbine Blades ◽  
Machining Process ◽  
Machining Parameters ◽  
Gas Turbine Blades ◽  
Virtual Machining ◽  
Machined Parts ◽  
Machining System

Abstract To enhance the quality of machined parts, virtual machining systems are presented in this study. In the turbine blades, the minimization of the surface roughness of the blades can decrease the Reynolds number to decrease the loss of energy in power generation. Due to difficulties of polishing process in minimizing the surface roughness of machined blades, the optimized machining parameters for minimizing the surface roughness is an effective solution for the problem. In this study, a virtual machining system is developed to predict and minimize the surface roughness in 5-Axis machining operations of gas turbine blades. To minimize the surface roughness, the machining parameters were optimized by the Genetic algorithm. To validate the developed system, the turbine blades were machined using a 5-Axis CNC machine tool and the machined blades were measured using the CMM machine to obtain the surface roughness of machined parts. So, a 41.29% reduction in the measured surface roughness and a 42.09% reduction in the predicted surface roughness are obtained using the optimized machining parameters. The developed virtual machining system can be applied in the machining process of turbine blades to enhance the surface quality of machined blades and thus improve the efficiency of gas turbines.

scholarly journals Regular Neural Network Based Machining Parameters Optimization Model Of NC Machine Tool

2018 ◽  
Vol 232 ◽  
pp. 01006
Author(s):  
Sanping Wang ◽  
Junwen Chen ◽  
Wei Yan
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Machine Tool ◽  
Process Parameters ◽  
Machine Tools ◽  
Machining Process ◽  
Machining Parameters ◽  
Nc Machine Tool ◽  
Nc Machine

Energy consumption process is the basis for energy efficiency improvement of machine tools. Most of the existing researches focus on the static modelling of energy consumption of a machine tool; however, there are a few studies that paid attention to that how process parameters influence the energy consumption of machine tools during processing. It is noted that the process parameters can be selected to reduce energy consumption during machining processes without additional investment. In this paper, a characteristic energy consumption model for NC machine tool was proposed. Then, the mapping rule between process parameters and energy consumption of machine tool was studied, and the model was solved with the regular neural network (RNN). Finally, the result was verified with an experiment of milling the surface of aluminium block, which can effectively improve the energy efficiency of machine tool. The experiment results are shown that regular neural network is used to optimize the process parameters and process the same machining characteristics; we analyze the in machining process of machine tool based on the three cutting parameters, and then, a model of energy consumption. We employ to learn, and use this trained model to select optimal parameters.

An Industrial Robot System for Pocket Machining of Large Size Engine Cylinder Covers

2011 ◽  
Author(s):  
T. Y. Noh ◽  
C. W. Jung
Keyword(s):  
Industrial Robot ◽  
Machining Process ◽  
Robot System ◽  
Pocket Machining ◽  
Surface Machining ◽  
Large Size ◽  
Engine Cylinder ◽  
Machining System ◽  
Nc Machine ◽  
Overlay Welding

Inside of the cylinder cover for a large size engine, several specific areas are required to have endurable property for high temperature, high pressure and corrosion attack. For this purpose, the surface should be machined to the shape of a pocket and covered with inconel overlay welding. This paper represents the machining process using an industrial robot system, which can replace an expensive NC machine for the surface machining process. It also describes that how the robot generates its path from the CAD data and compensates its position with a laser distance sensor. The pocket machining system incorporating an industrial robot was successfully developed and can cover various engine types efficiently in this field.

Based on Rub a Drum of Four Axis Programming and Virtual Machining Optimization Research

2015 ◽  
Vol 727-728 ◽  
pp. 794-798
Author(s):  
Xuan Lin Ye
Keyword(s):  
High Efficiency ◽  
Integrated Modeling ◽  
Simulation And Optimization ◽  
Virtual Machining ◽  
Nc Machine Tool ◽  
Nc Program ◽  
Nc Machine ◽  
Machining Optimization ◽  
Very High ◽  
Efficiency Improve

Analysis of the features of Mastercam, Solidworks and Vericut software and their respective advantages, Proposed by Solidworks, MastercamX and VERICUT three software are combined as the optimization platform to build the NC machining program integrated modeling, assembly, processing, simulation and Optimization in one. Author take rub a drum processing for an example, in the Solidworks modeling, assembly, in the Mastercam X programming and generate the NC program, through VERICUT for the simulation and optimization of NC program, Examples show the rationality of optimization, avoiding the collision, the production and processing of the interference, the over cut phenomenon, Three software effectively combined, play a very high efficiency, improve the using efficiency of NC machine tool, has the certain reference significance to the actual production.

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