scholarly journals Optimization Method of Process Parameters for Multi-axis NC Machining of Complex Surfaces

2016 ◽  
Author(s):  
Mei Tian
Keyword(s):  
Process Parameters ◽  
Optimization Method ◽  
Nc Machining ◽  
Complex Surfaces

scholarly journals Mechanical properties optimization of the steering column based on multi-objective optimization design

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668294 ◽  
Author(s):  
Si Chen ◽  
Zhaohui Wang ◽  
Mi Lv
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Optimization Design ◽  
Strain Difference ◽  
Optimization Method ◽  
Equivalent Strain ◽  
Multi Objective Optimization ◽  
Optimal Process ◽  
Multi Objective ◽  
Initial Results

The mechanical properties of the steering column have a significant influence on the comfort and stability of a vehicle. In order for the mechanical properties to be improved, the rotary swaging process of the steering column is studied in this article. The process parameters, including axial feed rate, hammerhead speed, and hammerhead radial reduction, are systematically analyzed and optimized based on a multi-objective optimization design. The response surface methodology and the genetic algorithm are employed for optimal process parameters to be obtained. The maximum damage value, the maximum forming load, and the equivalent strain difference obtained with the optimal process parameters are, respectively, decreased by 30.09%, 7.44%, and 57.29% compared to the initial results. The comparative results present that the quality of the steering column is improved. The torque experiments and fatigue experiments are conducted with the optimal steering column. The maximum torque is measured to be 260 NM, and the service life is measured to be 2 weeks (40 NM, 2500 times), which are, respectively, increased by 8.3% and 8.69% compared to the initial results. The above results display that the mechanical properties of the steering column are optimized to verify the feasibility of the multi-objective optimization method.

Large-Diameter Line Pipe Expanding Process

2012 ◽  
Vol 192 ◽  
pp. 180-184 ◽  
Author(s):  
Ai Xia He ◽  
Rong Chang Li
Keyword(s):  
Process Parameters ◽  
Large Diameter ◽  
Dimensional Accuracy ◽  
Optimization Method ◽  
Main Process ◽  
Shape Accuracy ◽  
Line Pipe ◽  
Factors Affecting ◽  
Array Optimization

Mechanical expanding process for large diameter line pipe, a detailed analysis of factors affecting the quality of the final products of the mechanical expansion and proposed optimization using orthogonal array optimization method, as an indicator of dimensional accuracy and shape accuracy of the products, combination of a variety of specifications of mechanical expanding products, the main process parameters to be optimized. Analysis and discussion of results, revealing the degree of influence of various factors on the quality of the final product, and gives the optimum combination of the results. Experiments show that the combination of optimized process parameters, and more help to improve the accuracy of the size and shape of products.

scholarly journals Optimization for energy consumption in drying section of fluting paper machine

2017 ◽  
Vol 21 (3) ◽  
pp. 1419-1429
Author(s):  
Shaaban Ghodbanan ◽  
Reza Alizadeh ◽  
Sirous Shafiei
Keyword(s):  
Process Parameters ◽  
Heat Recovery ◽  
Production Capacity ◽  
Inequality Constraints ◽  
Optimization Method ◽  
Energy Performance ◽  
Operating Conditions ◽  
Paper Machine ◽  
Recovery Performance ◽  
Drying Section

Non-linear programming optimization method was used to optimize total steam and air consumption in the dryer section of multi-cylinder fluting paper machine. Equality constraints of the optimization model were obtained from specified process blocks considering mass and energy balance relationships in drying and heat recovery sections. Inequality constraints correspond to process parameters such as production capacity, operating conditions, and other limitations. Using the simulation, the process parameters can be optimized to improve the energy efficiency and heat recovery performance. For a corrugating machine, optimized parameters show the total steam use can be reduced by about 11% due to improvement of the heat recovery performance and optimization of the operating conditions such as inlet web dryness, evaporation rate, and exhaust air humidity, accordingly total steam consumption can be decreased from about 1.71 to 1.53 tonnes steam per tonne paper production. The humidity of the exhaust air should be kept as high as possible to optimize the energy performance and avoid condensation in the pocket dryers and hood exhaust air. So the simulation shows the supply air should be increased by about 10% to achieve optimal humidity level which was determined about 0.152 kgH2O/(kg dry air).

Experimental investigation, modeling and optimization study on the mechanical properties of B4Cp/MWCNT/epoxy multi-scale hybrid composite

2020 ◽  
pp. 096739112097118
Author(s):  
Mustafa Taşyürek
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Process Parameters ◽  
Hybrid Composite ◽  
Optimization Method ◽  
High Rate ◽  
Dominant Factor ◽  
Mechanical And Thermal Properties ◽  
Multi Scale ◽  
The Matrix

In this study, process parameters and mechanical properties of the multi-scale composite were investigated experimentally and predictably. Multi-scale material includes boron carbide particles and multi walled carbon nanotubes (MWCNTs) in the epoxy-based matrix. Both reinforcements were reinforced into the matrix with various rates simultaneously. Average three tensile strength and hardness values were determined. The tensile strength and hardness were enhanced thanks to high rate of B4C usage up to 54.09% and 2.54%, respectively. The microstructure of the hybrid composite was investigated by Scanning Electron Microscopy. Also, Fourier Transform Infrared Spectroscopy was used to interpret spectral bands. The experimental data were analyzed using optimization method. Optimal process parameters for tensile strength and interfacial properties were determined. The Analysis of Variance (ANOVA) was used to obtain most significant factor and optimum levels of parameters. Finally, it was observed that B4C ratio is the most dominant factor affecting the mechanical and thermal properties.

scholarly journals Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Fayuan Zhu ◽  
Zhaohui Wang ◽  
Mi Lv
Keyword(s):  
Finite Element ◽  
Service Life ◽  
Multiobjective Optimization ◽  
Response Surface ◽  
Process Parameters ◽  
Optimization Method ◽  
Surface Model ◽  
Forming Quality ◽  
Hollow Shaft ◽  
Precision Forging

In order to control the precision forging forming quality and improve the service life of die, a multiobjective optimization method for process parameters design was presented by applying Latin hypercube design method and response surface model approach. Meanwhile the deformation homogeneity and material damage of forging parts were proposed for evaluating the forming quality. The forming load of die was proposed for evaluating the service life of die. Then as a case of study, the radial precision forging for a hollow shaft with variable cross section and wall thickness was carried out. The 3D rigid-plastic finite element (FE) model of the hollow shaft radial precision forging was established. The multiobjective optimization forecast model was established by adopting finite element results and response surface methodology. Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. A compromise solution was selected from the Pareto solutions by using the mapping method. In the finite element study on the forming quality of forging parts and the service life of dies by multiobjective optimization process parameters, the feasibility of the multiobjective optimization method presented by this work was verified.

Application of Support Vector Regression and Genetic Algorithm to Reduce Web Warping in Flexible Roll-Forming Process

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Young Yun Woo ◽  
Dae-Cheol Ko ◽  
Taekyung Lee ◽  
Yangjin Kim ◽  
Ji Hoon Kim ◽  
...  
Keyword(s):  
Process Parameters ◽  
Optimization Method ◽  
Roll Forming ◽  
Support Vector ◽  
Forming Process ◽  
Flexible Roll Forming ◽  
Flexible Roll ◽  
Roll Forming Process ◽  
Web Warping ◽  
The Web

Abstract In a flexible roll-forming process, a metal blank is incrementally deformed into the desired shape with a variable cross-sectional profile by passing the blank through a series of forming rolls. Because of the combined effects of process and material parameters on the quality of the roll-formed product, the approaches used to optimize the roll-forming process have been largely based on experience and trial-and-error methods. Web warping is one of the major shape defects encountered in flexible roll forming. In this study, an optimization method was developed using support vector regression (SVR) and a genetic algorithm (GA) to reduce web warping in flexible roll forming. An SVR model was developed to predict the web-warping height, and a response surface method was used to investigate the effect of the process parameters. In the development of these predictive models, three process parameters—the forming-roll speed condition, leveling-roll height, and bend angle—were considered as the model inputs, and the web-warping height was used as the response variable. The GA used the web-warping height and the cost of the roll-forming system as the fitness function to optimize the process parameters of the flexible roll-forming process. When the flexible roll-forming process was carried out using the optimized process parameters, the obtained experimental results indicated a reduction in web warping. Hence, the feasibility of the proposed optimization method was confirmed.

Research and Development on the Query Systems of NC Machining Process

2013 ◽  
Vol 764 ◽  
pp. 91-94
Author(s):  
Jie Huang ◽  
Jian Xin Shen
Keyword(s):  
Research And Development ◽  
Process Parameters ◽  
System Architecture ◽  
Cutting Parameters ◽  
Nc Machining ◽  
Machining Process ◽  
Query System ◽  
Access Database ◽  
Query Systems ◽  
Real Product

In this paper, the system architecture Integrated with cutting parameters database and process case database was proposed. Windows-based NC machining process query system was developed by using VB combined with access database, the system has turned the NC processing handbook into electronic handbook, at the same time, many real product process experiences was integrated in it, which effectively solved Electronic management of the NC machining process parameters and query. The employee can quickly accumulate experience by using the system and enrich their process acknowledge.

scholarly journals Optimization method of microwave drying process parameters for rice

2021 ◽  
Vol 13 (3) ◽  
pp. 10-20
Author(s):  
Tongsheng Sun ◽  
Fangqing Ling
Keyword(s):  
Process Parameters ◽  
Optimization Method ◽  
Microwave Drying ◽  
Drying Process ◽  
Grey Correlation ◽  
Vacuum Degree ◽  
Head Rice ◽  
Correlation Degree ◽  
Grey Correlation Degree ◽  
Main Factor

In this work, the optimal process to improve the efficiency of microwave drying of rice is studied. The optimal conditions for reducing the crack rate and improving the head rice rate are analyzed according to the principle of the orthogonal experiment. The optimization method of the rice microwave drying process parameters is proposed to simultaneously consider the two indicators, namely, crack and head rice rates, based on the grey system theory. The grey correlation degree analysis is carried out on the process conditions of the microwave drying rice. The result shows that the main factor affecting the integrity rate of the rice grain is the vacuum degree, and the main factor affecting the crack rate is the loading density. The grey correlation degree curve of head rice and crack rate fluctuates greatly, and the correlation between the two indexes is high. According to the grey correlation degree, the optimal parameters are microwave power of 500 W, vacuum degree of 0.02 MPa, and loading density of 1289.89 kg/m3. The head rice and crack rate are both optimized when drying under the parameters. The results provide a guiding method for the study of the correlation degree between drying indexes and provide a method basis for the further selection of the best drying process.

Preparation and Properties of LLDPE/EVA/Nano-ZnO Composites

2011 ◽  
Vol 183-185 ◽  
pp. 1864-1868
Author(s):  
Jia Liu ◽  
Shu Sheng Jia
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimization Method ◽  
Step Method ◽  
Swarm Optimization ◽  
Nano Zno ◽  
Fracture Elongation ◽  
Better Than

The process parameters of LLDPE/EVA/nano-ZnO composites were optimized by two methods. Samples were prepared under the better process parameters. The dispersion morphology and the mechanical properties of material were studied by Field Emission Scanning Electron Microscope (FESEM). And the mechanical properties of LLDPE/EVA/nano-ZnO composites were tested. It was showed that the optimization method based on neural network of BP and particle swarm optimization was better than that optimization method based on orthogonal experiment. The nanoeffect of ZnO particles was exerted which were distributed in LLDPE/EVA matrix, which result in the effect of reinforcing and toughening. Two-step method was better than direct dispersing method. The tensile strength was the highest when nano-ZnO amount was 3% under the two-step, the tensile strength was increased up to about 22%, and the fracture elongation rate was increased up to about 11%.

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