Plasma Spraying Life Cycle Inventory Modeling And Green Performance Analysis

The plasma spraying process is a mature,highly efficient and widely used surface treatment technology.However,resource and environmental issues such as high energy consumption and harmful gas emissions are obstacles to the realization of green and clean production by plasma spraying.Therefore,this article relies on the National Key Research and Development Plan-basic Manufacturing Process Resource Environmental Load Data Collection and Environmental Assessment Database Construction,with the goal of improving the competitiveness of the green performance of the plasma spraying process,using life cycle assessment and grey relational analysis methods to analyze plasma spraying The process has been studied,and the main research work and content are as follows:(1)Analyze the whole life cycle process of plasma spraying to prepare coatings,clarify the coating status and equipment,operation and other auxiliary information of each stage,and divide the unit process of plasma spraying based on this,including cleaning,sandblasting,main spraying and post-treatment.The concept of scenario is proposed,the operating characteristics of the unit process are described by the use of scenario attributes,and the plasma spraying process scenario matrix is established to provide a comparison basis for the subsequent call of the unit process list data.(2)According to the divided unit processes,a life cycle assessment of the plasma spraying process is carried out,the objectives and scope definitions are completed,and the IPO models of the four unit processes are established respectively,the objectives of inventory data collection are clarified,and resources and energy resources are developed.Consumption and environmental emission data collection strategy,obtained unit process inventory data.Select Primary Energy Demand,Abiotic Depletion Potential,Global Warming Potential,Water Usage,Acidification Potential,Respiratory Inorganics and Eutrophication Potential as the impact categories,calculate the characterization and standardization results,and evaluate the environmental impact of the plasma spraying process.It has been identified that main spraying is the key unit process with the greatest environmental impact,which provides a research direction for improving the environmental performance of plasma spraying in the next step.(3)Study the relationship between the main spraying process parameters and their environmental impact results,select power,powder feeding rate,spray gun moving speed,track distance and main air flow as the research process parameters,and design an orthogonal test with total of 25 groups of five factors and five levels,carried out life cycle assessment on 25 groups of tests,collect inventory data,and obtain environmental impact results.The influence trend of process parameters on environmental performance is explored,and it is identified that the spray gun moving speed is the process parameter with the largest fluctuation in the environmental impact results,and its value should be paid attention to during the main spraying production.Regression analysis is performed on the quantitative results of environmental impact,and the prediction model of the impact of process parameters on the environment is obtained.The residual error analysis test of the model confirmed the reliability of the model.(4)In order to improve the green performance of the plasma spraying process including the mechanical properties and environmental performance of the coating,based on the above analysis,the microhardness and porosity of the coatings prepared by 25 groups of tests are tested.The influence of process parameters on microhardness and porosity is analyzed,and the combination of process parameters under optimal mechanical properties is obtained.Through grey relational analysis,the optimal test group under the multi-objectives with the smallest environmental impact,the largest microhardness,and the lowest porosity is evaluated and decided.The results show that the 12th group had the best green performance.A set of process parameter combinations with the best actual green performance independent of the 25 sets of experiments is obtained,and the experimental verification is carried out.The results confirmed the validity of the grey relational analysis decision.Finally,the uncertainty analysis is carried out on the weights of grey relational analysis,and the results show that the original weight combination has little influence on the uncertainty of decision-making.