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.

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.

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.

Research on Process Parameters Intellectual Decision Support System for High Efficiency and Precision CMP Function Ceramics

2012 ◽  
Vol 497 ◽  
pp. 268-272 ◽  
Author(s):  
Zi Hua Hu ◽  
Man Ke Gao ◽  
Ju Long Yuan ◽  
Xiang Jun Yang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Process Parameters ◽  
Support System ◽  
High Efficiency ◽  
Parameters Optimization ◽  
Case Based Reasoning ◽  
Decision Strategy ◽  
Network Process ◽  
Roughness Prediction

Based on the hybrid combination of case-based reasoning and BP-neural network, process parameters intellectual decision strategy of function ceramics with high efficiency and precision chemical mechanical polishing (CMP) was proposed in this paper firstly. And then, referring to the technical manuals, experiences of engineering workers and experimental data, the process parameters database for function ceramics in CMP has been built with Microsoft software Access. On the basis of the above efforts, the process parameters intellectual decision support system for high efficiency and precision CMP of function ceramics has been developed by applying PowerBuilder software, which can realize the process parameters optimization, the surface roughness prediction and process parameters intellectual decision. Examples show that the prediction results are coincident with the experiments well.

scholarly journals Research on used power battery cutting parameters optimization for low carbon and high efficiency

2021 ◽  
Vol 2076 (1) ◽  
pp. 012072
Author(s):  
Jia Chen ◽  
Zhigang Jiang
Keyword(s):  
Process Parameters ◽  
Carbon Emissions ◽  
Optimization Model ◽  
High Efficiency ◽  
Parameters Optimization ◽  
Cutting Process ◽  
Low Carbon ◽  
Safety Requirements ◽  
Power Battery ◽  
Cutting Parameters Optimization

Abstract The cutting process of used power battery is a key step for recycling its materials, and it is energy-intensive and high carbon emission process. To reduce the carbon emissions of the used power battery cutting process, the relationship between the carbon emissions of the cutting process and its process parameters was analyzed based on the safety requirements. Next, the multi-objective optimization model for cutting process parameters is established with the goal of minimum carbon emissions and shortest cutting time, which takes into account the constraints of the cutting device’s and the safety requirements. For the strong nonlinear characteristics of the optimization model, an improved PSO algorithm is used to solve the model. A case study of cutting a certain type of used power battery is illustrated to verify the validity of the established model.

Recent Patents on Petroleum Pipe Inspection Gauge in China

2022 ◽  
Vol 16 ◽  
Author(s):  
Zhong Chen ◽  
Xiaoyang Qiu ◽  
Lingling Yang ◽  
Yalin Wang
Keyword(s):  
High Efficiency ◽  
Development Trend ◽  
Pipe Inspection ◽  
Cleaning Efficiency ◽  
Severe Problem ◽  
Future Design ◽  
The Future ◽  
Development Tendency ◽  
Future Work ◽  
Blocking Capacity

Background: With a great growing demand for petroleum, the amount of petroleum pipe is also increasing, and petroleum pipe blockage has become a severe problem in China. It is necessary to clean and inspect the petroleum pipe regularly. But the current petroleum pipe in-spection gauge can very easily block the petroleum pipe ,while the cleaning efficiency is poor. Therefore, the anti-blocking capacity and high-efficiency cleaning ability of the petroleum pipe inspection gauge has been paid more and more attention. Objective: By analyzing and discussing the patents of petroleum pipe inspection gauges in China in recent years, the future design of petro-leum pipe inspection gauge has been provided and some valuable conclusions have been summarized to solve the current problems of pipe inspection gauge. Methods: This paper studied and compared various representative patents relevant to the petroleum pipe inspection gauge. Results: By summarizing a large number of patents about petroleum pipe inspection gauges in China, the anti-blocking capacity or cleaning efficiency of those patents are analyzed and compared, and the further development tendency of petroleum pipe inspection gauges has been discussed. Conclusion: The problems of easy blocking for petroleum pipe inspection gauge and poor cleaning efficiency are still exist. It is still the main development trend for the study on anti-blocking capacity and the improvement of cleaning efficiency. The future work can be focused on pigging technical cooperation, new materials, power source and intelligent control.

scholarly journals Parameters Optimization of Auxiliary Gas Process for Double-Wire SS316L Stainless Steel Arc Additive Manufacturing

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 190
Author(s):  
Wei Wu ◽  
Jiaxiang Xue ◽  
Wei Xu ◽  
Hongyan Lin ◽  
Heqing Tang ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Additive Manufacturing ◽  
Process Parameters ◽  
Evaluation System ◽  
Gas Flow ◽  
Interactive Effect ◽  
Parameters Optimization ◽  
Heat Accumulation ◽  
Auxiliary Process ◽  
Strength And Stiffness

Serious heat accumulation limits the further efficiency and application in additive manufacturing (AM). This study accordingly proposed a double-wire SS316L stainless steel arc AM with a two-direction auxiliary gas process to research the effect of three parameters, such as auxiliary gas nozzle angle, auxiliary gas flow rate and nozzle-to-substrate distance on depositions, then based on the Box–Behnken Design response surface, a regression equation between three parameters and the total score were established to optimized parameters by an evaluation system. The results showed that samples with nozzle angle of 30° had poor morphology but good properties, and increasing gas flow or decreasing distance would enhance the airflow strength and stiffness, then strongly stir the molten pool and resist the interference. Then a diverse combination of auxiliary process parameters had different influences on the morphology and properties, and an interactive effect on the comprehensive score. Ultimately the optimal auxiliary gas process parameters were 17.4°, 25 L/min and 10.44 mm, which not only bettered the morphology, but refined the grains and improved the properties due to the stirring and cooling effect of the auxiliary gas, which provides a feasible way for quality and efficiency improvements in arc additive manufacturing.

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