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

Zhu, Fayuan; Wang, Zhaohui; Lv, Mi

doi:10.1155/2015/893730

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…The response surface method [24] is used to find the most significant influencing factors. The primary atomization quality is directly affected by structural parameters and operating parameters of the jet nozzle.…”

Section: Key Design Parametersmentioning

confidence: 99%

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Wang

Sun

Chen

2019

J Braz. Soc. Mech. Sci. Eng.

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The self-excited oscillation pulsed atomizing nozzle can effectively and evenly spray the high-speed solid cone jet without any extra power. The primary atomization of the jet at the outlet of nozzle directly affects the final spray quality, and the turbulence and cavitation at the outlet of the atomizing nozzle are the other two main factors affecting the atomization. In this work, multi-objective optimization depending on nozzle parameters was established by using mathematical optimization techniques and computational fluid dynamics to improve the jet atomization quality at the outlet of the nozzle. The central composite design method and the response surface method were used to obtain the approximate mathematical model of the primary atomization quality of the jet at the outlet of nozzle. Finally, the non-dominated sorting genetic algorithm with elitist strategy (NSGA-II) and the grey theory were used in combination to optimize the nozzle parameters. Through combining with the NSGA-II and the grey theory, the nozzle parameters were optimized in order to obtain the best primary atomization at the outlet area of nozzle. The optimization results verified the nozzle design with multi-objective optimization method. The optimized values of the turbulent kinetic energy F 1 and the vapor volume fraction F 2 increased by 28.26% and 5.56%, respectively, and the corresponding nozzle parameters of the chamber diameter D, the lower nozzle diameter d 2 and the upper nozzle inlet pressure P in were, respectively, optimized to 28.056 mm, 5.472 mm and 3.999 Mpa.

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Section: Key Design Parametersmentioning

confidence: 99%

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Wang

Sun

Chen

2019

J Braz. Soc. Mech. Sci. Eng.

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“…The inlet and outlet diameters and chamber length of the nozzle are very important to the cavitation performance. The change to the collision wall convergence angle directly influences the distribution of jet flow field performance, especially the distribution of the pressure field in the nozzle; the low-pressure area is a key factor for the formation and development of cavitation [11]. The inlet pressure is the input source of the overall jet energy, which directly influences jet power.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Parameter Optimized Design of Self-Oscillating Cavitation Jet Nozzles

Wang,

Li,

Song

et al. 2023

Energies

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Self-oscillating cavitation jet technology has become a research hotspot of scholars in various fields. However, existing research lacks a summary of the rules of the influence of various factors on the cavitation performance, such that efficient and stable extensive engineering applications are impossible to achieve. This paper aims at optimizing the design of the self-oscillating cavitation jet nozzle (SOCJN) as the objective; this is carried out by the experimental design, optimal Latin hypercube method, and response surface method in (design of experiment) DOE methods on the basis of the ISIGHT optimization method. In addition, taking the vapor volume fraction and cavitation number as a research objective, the obtained optimal structural parameters of the nozzles are applied under the condition of clear water to establish the function mapping relationship between the external geometric characteristics and the vapor volume fraction and cavitation number; then, this is compared with the experiment. The results indicate that the second-order response surface approximate model is suitable for the SOCJN and there is an error smaller than 8% between the approximate model results and the calculated results of the nozzle response. When the diameter of the upper nozzle is D1 = 4.7 mm, the ratio of the upper nozzle’s diameter to the lower’s diameter (D1/D2) is 2.6 and the ratio of the chamber length to the chamber diameter (L/D) is 0.63; pulse jets from the SOCJN have the best pitting effect on the sample at the monitoring point when the convergence angle of collision wall α is 120°. When the structural parameters of the nozzle are optimal structural parameters, the cavitation performance is the best at the initial pressure of 4.8 MPa. This research provides a reference for the optimized design of the SOCJN for industrial applications.

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“…There are many indicators for forging quality measurements. [14][15][16][17][18] One indicator is the damage value. Metal products operated under intense mechanical and high strain rates must have high mechanical performance characteristics.…”

Section: Introductionmentioning

confidence: 99%

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

Chen

Wang

Lv³

2016

Advances in Mechanical Engineering

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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.

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

Cited by 5 publications

References 14 publications

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Multi-objective parameters optimization design of self-excited oscillation pulsed atomizing nozzle

Multi-Objective Parameter Optimized Design of Self-Oscillating Cavitation Jet Nozzles

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

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