scholarly journals Research on High Speed Cutting Parameter Optimization and Fault Diagnosis Technology

2014 ◽  
Vol 6 ◽  
pp. 281216 ◽  
Author(s):  
Honggen Zhou ◽  
Xuwen Jing ◽  
Lei Wang ◽  
Kaiyun Dai ◽  
Jia Yongpeng
Keyword(s):  
Mathematical Model ◽  
Fault Diagnosis ◽  
Parameter Optimization ◽  
High Speed ◽  
Cutting Parameters ◽  
Cutting Process ◽  
High Speed Cutting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization ◽  
The Mathematical Model

High speed cutting process is a very complicated process; cutting parameters have a significant effect on cutting process and play a key role in the process of product manufacturing. The overall scheme of high speed cutting parameter optimization and its fault diagnosis have been introduced. The mathematical model of the selected cutting parameters was established and the optimized parameters were obtained by combining the experimental design with the technology of data processing. The statistical description of high speed cutting process control was introduced and the fault diagnosis model of cutting parameter optimization by using the neural network was proposed. Finally, the mathematical model in the present study is validated with a numerical example. The results show that the present method solved the problem of poor universality of high speed cutting data effectively and avoided the inaccuracy of physical and chemical mechanism research. Meanwhile, the present study prevents the passive checks of the cutting and gets better diagnosis of the complicated cutting fault type.

Application of Genetic Algorithm in Cutting Parameter Optimization

2014 ◽  
Vol 1082 ◽  
pp. 138-142
Author(s):  
Li Feng Zhu ◽  
Yan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Parameter Optimization ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Numerical Control ◽  
Numerical Control Machining ◽  
Factors Affecting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

Process parameters optimization is an important problem in numerical control machining, through the analysis of various factors affecting the cutting effect in cutting process, a mathematical model of cutting parameter optimization in NC machining is established and the constraint conditions are also determined in the paper. The article puts forward using genetic algorithm to realize the optimization of mathematical model, and the optimization analysis results are verified in practical processing. The experimental results show that the optimized cutting parameters can satisfy machining requests and improve the cutting efficiency.

scholarly journals Energy efficient cutting parameter optimization

2021 ◽  
Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Parameter Optimization ◽  
Energy Efficient ◽  
Cutting Parameters ◽  
Machining Process ◽  
Cutting Fluid ◽  
Current Status ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

AbstractMechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.

Finite Element Simulation on High Speed Cutting of Hardened 45 Steel Based on ABAQUS

2013 ◽  
Vol 579-580 ◽  
pp. 202-207
Author(s):  
Guo He Li ◽  
Hou Jun Qi ◽  
Bing Yan
Keyword(s):  
Finite Element ◽  
Cutting Force ◽  
Finite Element Simulation ◽  
High Speed ◽  
Cutting Temperature ◽  
Cutting Parameters ◽  
Cutting Process ◽  
High Speed Cutting ◽  
Geometry Model ◽  
Element Simulation

For the high speed cutting process of hardened 45 steel (45HRC), a finite element simulation of cutting deformation, cutting force and cutting temperature is finished with the large general finite element software ABAQUS. Through the building of geometry model, material model and heat conduction model, also the determination of boundary conditions, separation rule and friction condition, a thermal mechanical coupling finite element model of high speed cutting for hardened 45 steel is built. The serrated chip, cutting force and cutting temperature can be predicted. The comparison of experiment and simulation shows the validity of the model. The influence of cutting parameters on cutting process is investigated by the simulation under different cutting depthes and rake angles. The results show that as the increase of rake angle, the segment degree, cutting force and cutting temperature decrease. But the segment degree, also the cutting force and cutting temperature increase with the increase of cutting depth. This study is useful for the selection of cutting parameters of hardened steel.

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.

Research on Machined Surface Quality for High Speed Turning Titanium Alloy Membrane Discs and Optimization of Cutting Parameters

2010 ◽  
Vol 33 ◽  
pp. 246-250
Author(s):  
Wei Zhang ◽  
Min Li Zheng ◽  
Ming Ming Cheng ◽  
Wen Yong Shi
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Empirical Model ◽  
High Speed ◽  
Cutting Parameters ◽  
Machined Surface ◽  
Cutting Parameter ◽  
High Speed Turning ◽  
Machined Surface Roughness ◽  
Cutting Parameter Optimization

By high speed turning experiment of aerospace engine titanium alloy membrane discs, it researches cutting parameters influence on machined surface roughness of titanium alloy membrane discs, meanwhile measures and analyzes machined surface topography. Machined surface roughness multi-linear regression empirical model of high speed end-surface turning titanium alloy membrane discs is established. Using cutting parameter combination obtained from cutting parameter optimization makes process verification experiment of high speed turning titanium alloy membrane discs. The results show that the established machined surface roughness empirical model of high speed turning titanium alloy membrane discs is credible in statistics, and the process verifying experiment effect is good by using optimized cutting parameters.

Cutting Parameter Optimization Technique for High Efficiency NC Machining

2011 ◽  
Vol 211-212 ◽  
pp. 167-171
Author(s):  
An Jiang Cai ◽  
Shi Hong Guo ◽  
Zhao Yang Dong ◽  
Hong Wei Guo
Keyword(s):  
Neural Network ◽  
Parameter Optimization ◽  
Bp Neural Network ◽  
High Efficiency ◽  
Cutting Parameters ◽  
Nc Machining ◽  
Processing Efficiency ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization ◽  
Bp Neural Network Model

High efficient cutting process technique is one of the main development directions of cutting process technology in the future, a reasonable choice of NC machining cutting parameter is an important way to realize high efficiency NC machining. NC machining cutting parameter optimization techniques were studied, using BP neural network, milling parameters optimization model of aluminum alloy shell structure was built, and the structure of BP neural network was analysed, realizing the optimizing of the BP neural network model, the improving of the convergence accuracy, convergence speed, prediction accuracy, generalization ability of BP neural network model, which optimized the cutting parameters selection and predicted the processing efficiency to provide a theoretical basis for the selection of high efficiency NC machining cutting parameter. Production practice showed: the application of the optimized cutting parameters of BP neural network for processing could improve processing efficiency, reduce costs notablely while guaranteeing the processing quality, and achieve the optimization of integrated application efficiency for high efficiency NC machining and NC machine, so it has a higher promotional value.

The Forming Mechanism of Surface Defects on Machined Surface in High-Speed Cutting of SiCp/Al Composites

2013 ◽  
Vol 579-580 ◽  
pp. 171-176
Author(s):  
Yang Jun Wang ◽  
Ming Qiang Pan ◽  
Tao Chen ◽  
Li Guo Chen
Keyword(s):  
High Speed ◽  
Surface Defects ◽  
Fem Simulation ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Machined Surface ◽  
High Speed Cutting ◽  
Forming Mechanism ◽  
Simulation And Experiment ◽  
Method Model

For investigating the machined surface defects in high-speed cutting of SiCp/Al composites. The simulation and experiment of high-speed cutting process is done. The simulation of high-speed cutting process using the Cowper-Symonds model is established to explore the forming mechanism of the machined surface defects. The results show that the machined surface defects include small pit, big pit, groove and the raised particle. The experiment which uses the same cutting parameters with the simulation of FEM (Finite Element Method) model is carried out to verify the results of FEM simulation. The results indicate that the forming mechanism of machined surface defects prove to be true.

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