scholarly journals Parameters Optimization of Passive Electromagnetic Armor Based on Orthogonal Experiment

2019 ◽  
Author(s):  
Hong-jun Xiang ◽  
Chun-yan Liang ◽  
Xi-chao Yuan
Keyword(s):  
Orthogonal Experiment ◽  
Parameters Optimization

Study of Low Carbon Low Alloy Steel Annealing Process Parameters Optimization

2013 ◽  
Vol 631-632 ◽  
pp. 649-659
Author(s):  
Mao Yu Zhao ◽  
Qian Wang Chen
Keyword(s):  
Yield Strength ◽  
Alloy Steel ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Annealing Process ◽  
Parameters Optimization ◽  
Grey Theory ◽  
Low Carbon ◽  
Low Alloy Steel ◽  
Sem Images

A suitable match of annealing process parameters is critical for obtaining the fine microstructure of material. Low carbon low alloy steel (20CrMnTi) was heated for various durations near Ac temperature to achieve fine pearlite and ferrite grains. Annealing temperature and time were used as independent variables, and material property data were acquired by orthogonal experiment under intercritical annealing followed by subcritical annealing process (IASAP). The weights of plasticity (hardness, yield strength, section shrinkage, and elongation) of annealing material were calculated by analytic hierarchy process, and then the process parameters were optimized by using the grey theory system. The results observed by SEM images show that the optimized material microstructure consists of refining and distributing uniformly ferrite-pearlite grains, and smaller lamellar cementites. Morphologies on tension fracture surface of the optimized material indicates that the numbers of dimple fracture show more finer toughness obviously comparing with other annealing materials. Moreover, the yield strength value of the optimized material decreases apparently measured by tensile test. Thus, the new optimized strategy is accurate and feasible.

Process Parameters Optimization of Direct Synthesis Nano Magnesium Fluoride Powders

2012 ◽  
Vol 184-185 ◽  
pp. 1146-1149
Author(s):  
Ping Li ◽  
Hai Yang Wang ◽  
Wan E Wu ◽  
Shuai Ling
Keyword(s):  
Particle Size ◽  
Orthogonal Experiment ◽  
Direct Synthesis ◽  
Average Particle Size ◽  
Parameters Optimization ◽  
Magnesium Fluoride ◽  
Process Conditions ◽  
Average Particle ◽  
X Ray ◽  
Mgcl2 Concentration

To reduce average particle size，magnesium fluoride was directly synthesized from MgF2 and NH4F，the product was characterized by X-ray diffractomer，scanning electron microscopy. Orthogonal experiment was used to explore the influences of factors on the average particle size. Found that the effect order of factors on the average particle size is MgCl2 concentration，NH4F concentration，reaction temperature，reaction time，in the optimization of process conditions，average particle size is 23.1 nm.

Application of Optimization Algorithms in Injection Molding Process Parameters Optimization

2011 ◽  
Vol 704-705 ◽  
pp. 183-190
Author(s):  
Ze Hao Hu ◽  
Wei Wei ◽  
Juan Liu ◽  
Kun Liu
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Design Method ◽  
Orthogonal Experiment ◽  
Parameters Optimization ◽  
Injection Molding Process ◽  
Molding Process ◽  
Bp Artificial Neural Network ◽  
Agent Model ◽  
Set Up

In this paper, the numerical simulation and calculation of injection molding process are taken in the Moldflow software. The BP artificial neural network combining with the orthogonal experiment design method is used to set up the injection molding process agent model, genetic algorithms are applied to realize global optimization, finally, the optimal combination of process parameters of each quality indicators is obtained.

Processing Parameters Optimization for Stagger Spinning of Trapezoidal Inner Gear

2011 ◽  
Vol 189-193 ◽  
pp. 2754-2758 ◽  
Author(s):  
Xiu Quan Cheng ◽  
Ling Yan Sun ◽  
Qin Xiang Xia
Keyword(s):  
Gear Tooth ◽  
Orthogonal Experiment ◽  
New Technology ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Parameters Optimization ◽  
Gray Relational Analysis ◽  
Processing Parameter ◽  
Forming Quality

Spin-forming of trapezoidal inner gear is a new technology of the near-net forming in gear manufacturing field. Processing parameters, such as the initial thickness of blank and radial reductions of each roller, greatly influence the forming quality of spun part. The forming quality of trapezoidal inner gear involves the filling status of gear tooth and dimensional accuracy of root circle. An approach for processing parameter optimization of the forming quality of the trapezoidal inner gear stagger spinning is proposed. The proposed approach integrates the orthogonal experiment design, gray relational analysis, and analysis of variance (ANOVA). The experiment result indicates that the proposed approach is effective in determining the optimized processing parameters for the stagger spinning of trapezoidal inner gear.

scholarly journals Process Parameters Optimization of Wet Shot Peening for Paint Cleaning

2021 ◽  
Vol 13 (22) ◽  
pp. 12915
Author(s):  
Shuangshuang Wu ◽  
Xiujie Jia ◽  
Sheng Xiong ◽  
Fangyi Li ◽  
Mingliang Ma ◽  
...  
Keyword(s):  
Process Parameters ◽  
Shot Peening ◽  
High Efficiency ◽  
Orthogonal Experiment ◽  
Development Trend ◽  
Parameters Optimization ◽  
Cleaning Efficiency ◽  
Substrate Removal ◽  
Actual Application ◽  
Cleaning Technology

Wet shot peening (WSP) cleaning technology has the advantages of being green, having a high efficiency, and producing almost no pollution to the environment. Under the development trend of green environmental protection, WSP is more and more desired by the public. However, in the study of WSP cleaning paint, there is little research on process parameter optimization. Accordingly, this article uses an orthogonal experiment, taking the cleaning efficiency and the substrate removal mass as objectives, to optimize the parameters of pressure, stand-off distance, traverse rate, and cleaning times. The experimental results show that the cleaning efficiency is improved by increasing the pressure, stand-off distance, and traverse rate or decreasing the cleaning times within the scope of this experiment. The pressure and cleaning times are positively correlated with the substrate removal mass, whereas the traverse rate is negatively correlated. As the stand-off distance increases, the substrate removal mass initially increases and then decreases. The traverse rate has a significant influence on the cleaning efficiency and the substrate removal mass. The optimal process parameters based on the cleaning efficiency are 0.45 MPa pressure, 140 mm stand-off distance, 5 mm/s traverse rate, and one-time cleaning. Besides, the cleaning efficiency at such conditions is 64.23 %/min. Additionally, the substrate removal mass is optimized under 0.25 MPa pressure, 60 mm (or 140 mm) stand-off distance, 5 mm/s traverse rate, and one-time cleaning to give a substrate removal mass of approximately zero. The analysis of parameters provides a reference for selecting the parameters in the actual application of WSP cleaning.

Structural Optimization Design and Experiment Investigation of Electric-Pneumatic Converter Device Based on the Principle of Nozzle Flapper

2012 ◽  
Vol 490-495 ◽  
pp. 543-547
Author(s):  
Dong Ming Li ◽  
Xiao Jing Tian ◽  
Ying Jia ◽  
Yun Xian Cui
Keyword(s):  
Optimization Design ◽  
Low Voltage ◽  
Orthogonal Experiment ◽  
Fast Response ◽  
Parameters Optimization ◽  
Force Balance ◽  
Piezoelectric Composite ◽  
New Device ◽  
Piezoelectric Structure ◽  
Stable Performance

In this paper, a new electric-pneumatic convert device with piezoelectric composite disc as actuator is proposed. The new convert device break through traditional principle of force balance, which the parameters optimization to the whole air course and the structure of piezoelectric actuators were carried on by orthogonal experiment method. Experimental results show that the new device character is effected seriously by original installation site and has the characters of fast response, sensitive reaction, stable performance and meet the requirement of air pressure output between 0.02MPa and 0.1 MPa in industrial field with low voltage, which provides good basis of development of electric-pneumatic convert valve with new piezoelectric structure.

The Optimization Method of Tailor Welded Blank Forming Process Based on Numerical Simulation

2014 ◽  
Vol 721 ◽  
pp. 135-139 ◽  
Author(s):  
Yong Gan ◽  
Jia Xing Li ◽  
Yang Chen ◽  
Hong Zhao Li
Keyword(s):  
Numerical Simulation ◽  
Optimization Design ◽  
Orthogonal Experiment ◽  
Frictional Coefficient ◽  
Optimization Method ◽  
Parameters Optimization ◽  
Forming Process ◽  
Forming Parameters ◽  
Tailor Welded Blank ◽  
Optimization Schemes

The tailor welded blank stamping is a complicated process with numerous forming parameters, so it is difficult to determine the relationship between the forming parameters and the formability. The TWBs forming is numerically simulated by an orthogonal experiment design while the thickness ratio, blank holder force and frictional coefficient are forming parameters, and the maximum thickness thinning and the maximum weld movement are index. The influencing degree of forming parameters on the index and the optimal combination of forming parameters are analyzed. The optimization design is used to carry out numerical simulation and verification which can effectively improve stamping formability of TWBs. The simulation results also show that optimization schemes can offer the reference for the forming parameters optimization of the TWBs.

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