Parameter optimization integrating operation parameters and structure parameters for the purpose of high permeate flux,high productivity and low exergy consumption of direct contact membrane distillation (DCMD) proces...Parameter optimization integrating operation parameters and structure parameters for the purpose of high permeate flux,high productivity and low exergy consumption of direct contact membrane distillation (DCMD) process was conducted based on Taguchi experimental design. L16(45) orthogonal experiments were carried out with feed inlet temperature,permeate stream inlet temperature,flow rate,module packing density and length-diameter ratio as optimization parameters and with permeate flux,water productivity per unit volume of module and water production per unit exergy loss separately as optimization objectives. By using range analysis method,the dominance degree of the various influencing factors for the three objectives was analyzed and the optimum condition was obtained for the three objectives separately. Furthermore,the multi-objectives optimization was performed based on a weight grade method. The combined optimum conditions are feed inlet temperature 75℃,packing density 30% ,length-diameter ratio 10,permeate stream inlet temperature 30 ℃ and flow rate 25 L/h,which is in order of their dominance degree,and the validity of the optimization scheme was confirmed.展开更多
An iron and steel company＇ s hot galvanizing technology was chosen as the object. An orthogonal experimental scheme with 5 factors of mixed level was designed, according to the various factors affecting the distribut...An iron and steel company＇ s hot galvanizing technology was chosen as the object. An orthogonal experimental scheme with 5 factors of mixed level was designed, according to the various factors affecting the distribution of slag. For each scheme, the amount of slag and slag height in different orthogonal schemes by simulation were obtained with FLUENT software. Then, range and variance analyses were selected to compare the trend of slag height in the different process parameters of the hot dip galvanizing process. Finally, the optimal combination of the process parameters was obtained.展开更多
To optimize cutting control parameters and provide scientific evidence for controlling cutting forces,cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital d...To optimize cutting control parameters and provide scientific evidence for controlling cutting forces,cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital drill holes in aluminum alloy 6061.Firstly,four cutting control parameters(tool rotation speed,tool revolution speed,axial feeding pitch and tool revolution radius)and affecting cutting forces are identified after orbital drilling kinematics analysis.Secondly,hybrid level orthogonal experiment method is utilized in modeling experiment.By nonlinear regression analysis,two quadratic prediction models for axial and radial forces are established,where the above four control parameters are used as input variables.Then,model accuracy and cutting control parameters are analyzed.Upon axial and radial forces models,two optimal combinations of cutting control parameters are obtained for processing a13mm hole,corresponding to the minimum axial force and the radial force respectively.Finally,each optimal combination is applied in verification experiment.The verification experiment results of cutting force are in good agreement with prediction model,which confirms accracy of the research method in practical production.展开更多
Aluminum alloys' properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a m...Aluminum alloys' properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a model was developed for the prediction of the correlation between electromagnetic casting process parameters and tensile properties in aluminum alloys using artificial neural network(ANN).The inputs of the neural network were electromagnetic casting process parameters.including electric field,magnetic field and pouring temperature.The outputs of the model were the tensile properties,including ultimate strength and elongation.The optimal results achieved from the integrated ANN and orthogonal were tested by using experimental results.Consequently,it can be suggested that the combined approach of ANN and orthogonal provides a novel way with respect to the optimization of processing parameters in the field of materials scienc.展开更多
The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at...The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize the warping deformation of the platform, based on simulation with Pro CAST, the single factor method, orthogonal test, neural network and genetic algorithm were subsequently used to analyze the influence of pouring temperature, shell mold preheating temperature, furnace temperature and withdrawal velocity on dimensional accuracy of the platform of superalloyDD6 turbine blade. The accuracy of investment casting simulation was verified by measurement of platform at blade casting. The simulation results with the optimal process parameters illustrate that the equivalent warping deformation was dramatically reduced by 21.8% from 0.232295 mm to 0.181698 mm.展开更多
Selecting the optimal machining parameters for impeller surface is a challenging task in the automatic manufacturing industry, due to its free-form surface and deep-crooked flow channel.Existing experimental methods r...Selecting the optimal machining parameters for impeller surface is a challenging task in the automatic manufacturing industry, due to its free-form surface and deep-crooked flow channel.Existing experimental methods require lots of machining experiments and off-line tests, which may lead to high machining cost and low efficiency. This paper proposes a novel method of machining parameters optimization for an impeller based on the on-machine measuring technique. The absolute average error and standard deviation of the measured points are used to define the grey relational grade for reconstructing the objective function, and the complex problem of multi-objective optimization is simplified into a problem of single-objective optimization. Then, by comparing the values of the defined grey relational grade in a designed orthogonal experiment, the optimal combination of the machining parameters is obtained. The experiment-solving process of the objective function corresponds to the minimization of the used errors, which is advantageous to reducing the machining error. The proposed method is efficient and low-cost, since it does not require re-clamping the workpiece for off-line tests. Its effectiveness is verified by an on-machine inspection experiment of the impeller blade.展开更多
[Objectives]To study the effects of different temperature,time and humidity on the sensory quality of fish meat,and to determine the optimal process parameters for whole fish frying of Sichuan-style dry-roasted fish u...[Objectives]To study the effects of different temperature,time and humidity on the sensory quality of fish meat,and to determine the optimal process parameters for whole fish frying of Sichuan-style dry-roasted fish using a universal oven.[Methods]The effects of different heating temperature,time and humidity on the sensory quality of whole fish frying were analyzed by single factor experiment and orthogonal experiment.[Results]In the whole fish frying process of the universal oven,the optimal parameters in the first stage steaming mode was as follows:215℃for temperature,15%for humidity,and 10 min for time;the optimal parameters in the second baking mode was as follows:250℃for temperature,70%for humidity,and 5 min for time.[Conclusions]Different from the traditional whole fish frying of Sichuan-style dry roasted fish,universal oven is greatly optimized in convenience,safety and environmental protection.Besides,the use of oil is reduced,and the cost is well controlled,thus it is conducive to mass production in the later period.展开更多
Currently,the process parameters for compression molding of pineapple rind residue are not clear.In view of this problem,a single die hole compression molding test device was designed in this study,and the force of ma...Currently,the process parameters for compression molding of pineapple rind residue are not clear.In view of this problem,a single die hole compression molding test device was designed in this study,and the force of material in a mold hole was analyzed.Using the test device,a three-factor three-level orthogonal test was carried out by using the particle size,moisture content,and die hole length-to-diameter ratio of pineapple rind residue as the factors and the particle molding rate,relax density,and specific energy consumption as the indicators.The test results were analyzed by range analysis,variance analysis,and fuzzy comprehensive evaluation.The test results show that the main and secondary factors affecting the comprehensive performance of pineapple rind residue compression molding are length-to-diameter ratio,particle size,and moisture content.The optimal parameter combination is the material particle size of 6-9 mm,moisture content of 16%,and length-to-diameter ratio of 4:1.The best indicators under these conditions are particle molding rate of 97.80%,relax density of 1.32 g/cm,and specific energy consumption of 44.17 J/g.These research results can provide a reference for the selection of processing parameters and the design of molding equipment.展开更多
文摘Parameter optimization integrating operation parameters and structure parameters for the purpose of high permeate flux,high productivity and low exergy consumption of direct contact membrane distillation (DCMD) process was conducted based on Taguchi experimental design. L16(45) orthogonal experiments were carried out with feed inlet temperature,permeate stream inlet temperature,flow rate,module packing density and length-diameter ratio as optimization parameters and with permeate flux,water productivity per unit volume of module and water production per unit exergy loss separately as optimization objectives. By using range analysis method,the dominance degree of the various influencing factors for the three objectives was analyzed and the optimum condition was obtained for the three objectives separately. Furthermore,the multi-objectives optimization was performed based on a weight grade method. The combined optimum conditions are feed inlet temperature 75℃,packing density 30% ,length-diameter ratio 10,permeate stream inlet temperature 30 ℃ and flow rate 25 L/h,which is in order of their dominance degree,and the validity of the optimization scheme was confirmed.
文摘An iron and steel company＇ s hot galvanizing technology was chosen as the object. An orthogonal experimental scheme with 5 factors of mixed level was designed, according to the various factors affecting the distribution of slag. For each scheme, the amount of slag and slag height in different orthogonal schemes by simulation were obtained with FLUENT software. Then, range and variance analyses were selected to compare the trend of slag height in the different process parameters of the hot dip galvanizing process. Finally, the optimal combination of the process parameters was obtained.
基金Supported by the National Natural Science Foundation of China(50975141)the Aviation Science Fund(20091652018,2010352005)the National Science and Technology Major Project of the Ministry of Science and Technology of China(2012ZX04003031-4)
文摘To optimize cutting control parameters and provide scientific evidence for controlling cutting forces,cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital drill holes in aluminum alloy 6061.Firstly,four cutting control parameters(tool rotation speed,tool revolution speed,axial feeding pitch and tool revolution radius)and affecting cutting forces are identified after orbital drilling kinematics analysis.Secondly,hybrid level orthogonal experiment method is utilized in modeling experiment.By nonlinear regression analysis,two quadratic prediction models for axial and radial forces are established,where the above four control parameters are used as input variables.Then,model accuracy and cutting control parameters are analyzed.Upon axial and radial forces models,two optimal combinations of cutting control parameters are obtained for processing a13mm hole,corresponding to the minimum axial force and the radial force respectively.Finally,each optimal combination is applied in verification experiment.The verification experiment results of cutting force are in good agreement with prediction model,which confirms accracy of the research method in practical production.
基金Item Sponsored by the National Natural Science Foundation of China(NO.50975263)
文摘Aluminum alloys' properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a model was developed for the prediction of the correlation between electromagnetic casting process parameters and tensile properties in aluminum alloys using artificial neural network(ANN).The inputs of the neural network were electromagnetic casting process parameters.including electric field,magnetic field and pouring temperature.The outputs of the model were the tensile properties,including ultimate strength and elongation.The optimal results achieved from the integrated ANN and orthogonal were tested by using experimental results.Consequently,it can be suggested that the combined approach of ANN and orthogonal provides a novel way with respect to the optimization of processing parameters in the field of materials scienc.
基金financially supported by the National Natural Science Foundation of China(No.51371152)
文摘The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize the warping deformation of the platform, based on simulation with Pro CAST, the single factor method, orthogonal test, neural network and genetic algorithm were subsequently used to analyze the influence of pouring temperature, shell mold preheating temperature, furnace temperature and withdrawal velocity on dimensional accuracy of the platform of superalloyDD6 turbine blade. The accuracy of investment casting simulation was verified by measurement of platform at blade casting. The simulation results with the optimal process parameters illustrate that the equivalent warping deformation was dramatically reduced by 21.8% from 0.232295 mm to 0.181698 mm.
基金co-supported by the National Basic Research Program of China(No.2015CB057304)the National Natural Science Foundation of China(Nos.51535004 and91648111)
文摘Selecting the optimal machining parameters for impeller surface is a challenging task in the automatic manufacturing industry, due to its free-form surface and deep-crooked flow channel.Existing experimental methods require lots of machining experiments and off-line tests, which may lead to high machining cost and low efficiency. This paper proposes a novel method of machining parameters optimization for an impeller based on the on-machine measuring technique. The absolute average error and standard deviation of the measured points are used to define the grey relational grade for reconstructing the objective function, and the complex problem of multi-objective optimization is simplified into a problem of single-objective optimization. Then, by comparing the values of the defined grey relational grade in a designed orthogonal experiment, the optimal combination of the machining parameters is obtained. The experiment-solving process of the objective function corresponds to the minimization of the used errors, which is advantageous to reducing the machining error. The proposed method is efficient and low-cost, since it does not require re-clamping the workpiece for off-line tests. Its effectiveness is verified by an on-machine inspection experiment of the impeller blade.
基金Student Research Program of Sichuan Tourism University"Optimization of Making Process for Whole Fish Frying Using a Universal Oven"(2021XKS16)Culinary Science Key Laboratory Project of Sichuan Higher Education Institutions"Optimization of Making Process for Crispy Crucian Carp in Scallion Oil Using a Universal Oven"(PRKX2020Z12)School-level Research Program of Sichuan Tourism University"Study on Making Process of Dry-roasted Fish Using a Universal Oven"(2020SCTU70).
文摘[Objectives]To study the effects of different temperature,time and humidity on the sensory quality of fish meat,and to determine the optimal process parameters for whole fish frying of Sichuan-style dry-roasted fish using a universal oven.[Methods]The effects of different heating temperature,time and humidity on the sensory quality of whole fish frying were analyzed by single factor experiment and orthogonal experiment.[Results]In the whole fish frying process of the universal oven,the optimal parameters in the first stage steaming mode was as follows:215℃for temperature,15%for humidity,and 10 min for time;the optimal parameters in the second baking mode was as follows:250℃for temperature,70%for humidity,and 5 min for time.[Conclusions]Different from the traditional whole fish frying of Sichuan-style dry roasted fish,universal oven is greatly optimized in convenience,safety and environmental protection.Besides,the use of oil is reduced,and the cost is well controlled,thus it is conducive to mass production in the later period.
基金The research work was supported by the Special Funds for Scientific Research in Public Welfare Industries(Agriculture)"Comprehensive Utilization of By-products of Horticultural Crop Products Processing"(Grant No.201503142).
文摘Currently,the process parameters for compression molding of pineapple rind residue are not clear.In view of this problem,a single die hole compression molding test device was designed in this study,and the force of material in a mold hole was analyzed.Using the test device,a three-factor three-level orthogonal test was carried out by using the particle size,moisture content,and die hole length-to-diameter ratio of pineapple rind residue as the factors and the particle molding rate,relax density,and specific energy consumption as the indicators.The test results were analyzed by range analysis,variance analysis,and fuzzy comprehensive evaluation.The test results show that the main and secondary factors affecting the comprehensive performance of pineapple rind residue compression molding are length-to-diameter ratio,particle size,and moisture content.The optimal parameter combination is the material particle size of 6-9 mm,moisture content of 16%,and length-to-diameter ratio of 4:1.The best indicators under these conditions are particle molding rate of 97.80%,relax density of 1.32 g/cm,and specific energy consumption of 44.17 J/g.These research results can provide a reference for the selection of processing parameters and the design of molding equipment.
