In this study, a two-step heating process is introduced for transient liquid phase （ TLP） diffusion bonding fo r sound joints with T91 heat resistant steels. At first, a short-time higher temperature heatin...In this study, a two-step heating process is introduced for transient liquid phase （ TLP） diffusion bonding fo r sound joints with T91 heat resistant steels. At first, a short-time higher temperature heating step is addressed to melt the interlayer, followed by the second step to complete isothermal solidification at a low temperature. The most critical feature of our new method is producing a non-planar interface at the T9／ heat resistant steels joint. We propose a transitional liquid phase bonding of T91 heat resistant steels by this approach. Since joint microstructures have been studied, we tested the tensile strength to assess joint mechanical property. The result indicates that the solidified bond may contain a primary solid-solution, similar composition to the parent metal and free from precipitates. Joint tensile strength of the joint is not lower than parent materials. Joint bend＇s strengths are enhanced due to the higher metal-to-metal junction producing a non-planar bond lines. Nevertheless, the traditional transient liquid phase diffusion bonding produces planar ones. Bonding parameters of new process are 1 260 °C for 0. 5 min and 1 230 °C fo r 4 min.展开更多
Process analytics is one of the popular research domains that advanced in the recent years.Process analytics encompasses identification,monitoring,and improvement of the processes through knowledge extraction from his...Process analytics is one of the popular research domains that advanced in the recent years.Process analytics encompasses identification,monitoring,and improvement of the processes through knowledge extraction from historical data.The evolution of Artificial Intelligence(AI)-enabled Electronic Health Records(EHRs)revolutionized the medical practice.Type 2 Diabetes Mellitus(T2DM)is a syndrome characterized by the lack of insulin secretion.If not diagnosed and managed at early stages,it may produce severe outcomes and at times,death too.Chronic Kidney Disease(CKD)and Coronary Heart Disease(CHD)are the most common,long-term and life-threatening diseases caused by T2DM.There-fore,it becomes inevitable to predict the risks of CKD and CHD in T2DM patients.The current research article presents automated Deep Learning(DL)-based Deep Neural Network(DNN)with Adagrad Optimization Algorithm i.e.,DNN-AGOA model to predict CKD and CHD risks in T2DM patients.The paper proposes a risk prediction model for T2DM patients who may develop CKD or CHD.This model helps in alarming both T2DM patients and clinicians in advance.At first,the proposed DNN-AGOA model performs data preprocessing to improve the quality of data and make it compatible for further processing.Besides,a Deep Neural Network(DNN)is employed for feature extraction,after which sigmoid function is used for classification.Further,Adagrad optimizer is applied to improve the performance of DNN model.For experimental validation,benchmark medical datasets were used and the results were validated under sev-eral dimensions.The proposed model achieved a maximum precision of 93.99%,recall of 94.63%,specificity of 73.34%,accuracy of 92.58%,and F-score of 94.22%.The results attained through experimentation established that the pro-posed DNN-AGOA model has good prediction capability over other methods.展开更多
The expression of residual is obtained according to its dynamic response to mean shift, then the distribu- tion of T2 statistic applied to the residual is derived, thus the probability of the 7a statistic lying outsid...The expression of residual is obtained according to its dynamic response to mean shift, then the distribu- tion of T2 statistic applied to the residual is derived, thus the probability of the 7a statistic lying outside the control limit is calculated. The above-mentioned results are substituted into the infinite definition expression of the average run length （ARL）, and then the final finite ARL expression is obtained. An example is used to demonstrate the procedures of the proposed method. In the comparative study, eight autocorrelated processes and four different mean shifts are performed, and the ARL values of the proposed method are compared with those obtained by simulation method with 50 000 replications. The accuracy of the proposed method can be illustrated through the comparative results.展开更多
Integrated use of statistical process control (SPC) and engineering process control (EPC) has better performance than that by solely using SPC or EPC. But integrated scheme has resulted in the problem of “Window of O...Integrated use of statistical process control (SPC) and engineering process control (EPC) has better performance than that by solely using SPC or EPC. But integrated scheme has resulted in the problem of “Window of Opportunity” and autocorrelation. In this paper, advanced T2 statistics model and neural networks scheme are combined to solve the above problems: use T2 statistics technique to solve the problem of autocorrelation;adopt neural networks technique to solve the problem of “Window of Opportunity” and identification of disturbance causes. At the same time, regarding the shortcoming of neural network technique that its algorithm has a low speed of convergence and it is usually plunged into local optimum easily. Genetic algorithm was proposed to train samples in this paper. Results of the simulation ex-periments show that this method can detect the process disturbance quickly and accurately as well as identify the dis-turbance type.展开更多
According to the current understanding, electromagnetic interaction is invariable under time reversal. However, the proof of time reversal symmetry in quantum theory of field has not considered the effects of high ord...According to the current understanding, electromagnetic interaction is invariable under time reversal. However, the proof of time reversal symmetry in quantum theory of field has not considered the effects of high order perturbation normalizations. It is proved in the paper that when the renormalization effect of third order vertex angles process is taken into account, the symmetry of time reversal will be violated in electromagnetic interaction process. Because the magnitude order of symmetry violation is about 10–5, but the precision of current experiments on time reversal in particle physics is about 10–3, this kind of symmetry violation can not be found. The result reveals the micro-origin of asymmetry of time reversal and can be used to solve the famous irreversibility paradox in the evolution processes of macro- material systems.展开更多
The materials used in variable temperature conditions are required to have excellent thermal fatigue performance.The effects of laser shock processing(LSP),solid solution and aging treatment(T6),and cryogenic treatmen...The materials used in variable temperature conditions are required to have excellent thermal fatigue performance.The effects of laser shock processing(LSP),solid solution and aging treatment(T6),and cryogenic treatment(CT)on both microstructure and thermal fatigue performance of ZCuAl_(10)Fe_(3)Mn_(2) alloys were studied.Microstructure and crack morphology were then examined by scanning electron microscopy(SEM)and energy-dispersive X-ray spectroscopy(EDS).The result showed that,after being subjected to the combination treatment of T6+CT+LSP,the optimal mechanical properties and thermal fatigue performance were obtained for the ZCuAl_(10)Fe_(3)Mn_(2) alloy with the tensile strength,hardness,and elongation of 720 MPa,300.16 HB,and 16%,respectively,and the thermal fatigue life could reach 7,100 cycles when the crack length was 0.1 mm.Moreover,the ZCuAl_(10)Fe_(3)Mn_(2) after combination treatment shows high resistance to oxidation,good adhesion between the matrix and grain boundaries,and dramatically reduced growth rate of crack.During thermal fatigue testing,under the combined action of thermal and alternating stresses,the microstructure around the sample notch oxidized and became loose and porous,which then converted to micro-cracks.Fatigue crack expanded along the grain boundary in the early stage.In the later stage,under the cyclic stress accumulation,the oxidized microstructure separated from the matrix,and the fatigue crack expanded in both intergranular and transgranular ways.The main crack was thick,and the path was meandering.展开更多
The main aim of this study is to explain periglacial processes on the summits of Mount Honaz(2571 m a.s.l.),define periglacial landforms,and determine the relationships between morphometric features and topographic fa...The main aim of this study is to explain periglacial processes on the summits of Mount Honaz(2571 m a.s.l.),define periglacial landforms,and determine the relationships between morphometric features and topographic factors.Mud circles,stony earth circles,non sorted steps,and non sorted stripes were identified on the summits of Mount Honaz.Pearson's correlation coefficient(r)and linear regression analyses were performed by taking metric measurements from 125 periglacial landforms to describe their morphometric features(length,width,height)of periglacial landforms and explain the relationships between them and topographic factors(elevation,slope).To explain the relationships between periglacial landforms and soil properties,soil samples from 11 periglacial landforms were taken and analysed.Periglacial landforms,which continue to develop on the summits of Mount Honaz today,have been evaluated with present climate data.Analysis of soil samples indicates a notable impact of parent material on the genesis of periglacial landforms.The high ratio of organic matter in mud circle and non sorted step landforms and the high lime ratio in stony earth circle landforms prove a strong relationship between the formation mechanisms of landforms and the soil properties.Furthermore,it is consistent with the findings obtained from the analysis that severe periglacial processes and washing and scavenging events are experienced more on the northern slopes.展开更多
Objective To establish a stable and efficient method of culturing imDCs in vitro,and to explore the effect of GW5074,which blocks ERK1 /2 signal pathway in the process of immature dentritic cells ( imDCs) on inducing ...Objective To establish a stable and efficient method of culturing imDCs in vitro,and to explore the effect of GW5074,which blocks ERK1 /2 signal pathway in the process of immature dentritic cells ( imDCs) on inducing differentiation of the naive allogeneic CD4 + T展开更多
基金supported by the Natural Science Foundation of Henan Province(Grant No.152107000047)
文摘In this study, a two-step heating process is introduced for transient liquid phase （ TLP） diffusion bonding fo r sound joints with T91 heat resistant steels. At first, a short-time higher temperature heating step is addressed to melt the interlayer, followed by the second step to complete isothermal solidification at a low temperature. The most critical feature of our new method is producing a non-planar interface at the T9／ heat resistant steels joint. We propose a transitional liquid phase bonding of T91 heat resistant steels by this approach. Since joint microstructures have been studied, we tested the tensile strength to assess joint mechanical property. The result indicates that the solidified bond may contain a primary solid-solution, similar composition to the parent metal and free from precipitates. Joint tensile strength of the joint is not lower than parent materials. Joint bend＇s strengths are enhanced due to the higher metal-to-metal junction producing a non-planar bond lines. Nevertheless, the traditional transient liquid phase diffusion bonding produces planar ones. Bonding parameters of new process are 1 260 °C for 0. 5 min and 1 230 °C fo r 4 min.
文摘Process analytics is one of the popular research domains that advanced in the recent years.Process analytics encompasses identification,monitoring,and improvement of the processes through knowledge extraction from historical data.The evolution of Artificial Intelligence(AI)-enabled Electronic Health Records(EHRs)revolutionized the medical practice.Type 2 Diabetes Mellitus(T2DM)is a syndrome characterized by the lack of insulin secretion.If not diagnosed and managed at early stages,it may produce severe outcomes and at times,death too.Chronic Kidney Disease(CKD)and Coronary Heart Disease(CHD)are the most common,long-term and life-threatening diseases caused by T2DM.There-fore,it becomes inevitable to predict the risks of CKD and CHD in T2DM patients.The current research article presents automated Deep Learning(DL)-based Deep Neural Network(DNN)with Adagrad Optimization Algorithm i.e.,DNN-AGOA model to predict CKD and CHD risks in T2DM patients.The paper proposes a risk prediction model for T2DM patients who may develop CKD or CHD.This model helps in alarming both T2DM patients and clinicians in advance.At first,the proposed DNN-AGOA model performs data preprocessing to improve the quality of data and make it compatible for further processing.Besides,a Deep Neural Network(DNN)is employed for feature extraction,after which sigmoid function is used for classification.Further,Adagrad optimizer is applied to improve the performance of DNN model.For experimental validation,benchmark medical datasets were used and the results were validated under sev-eral dimensions.The proposed model achieved a maximum precision of 93.99%,recall of 94.63%,specificity of 73.34%,accuracy of 92.58%,and F-score of 94.22%.The results attained through experimentation established that the pro-posed DNN-AGOA model has good prediction capability over other methods.
基金Supported by National Natural Science Foundation of China (No.70931004 and No. 70802043)
文摘The expression of residual is obtained according to its dynamic response to mean shift, then the distribu- tion of T2 statistic applied to the residual is derived, thus the probability of the 7a statistic lying outside the control limit is calculated. The above-mentioned results are substituted into the infinite definition expression of the average run length （ARL）, and then the final finite ARL expression is obtained. An example is used to demonstrate the procedures of the proposed method. In the comparative study, eight autocorrelated processes and four different mean shifts are performed, and the ARL values of the proposed method are compared with those obtained by simulation method with 50 000 replications. The accuracy of the proposed method can be illustrated through the comparative results.
文摘Integrated use of statistical process control (SPC) and engineering process control (EPC) has better performance than that by solely using SPC or EPC. But integrated scheme has resulted in the problem of “Window of Opportunity” and autocorrelation. In this paper, advanced T2 statistics model and neural networks scheme are combined to solve the above problems: use T2 statistics technique to solve the problem of autocorrelation;adopt neural networks technique to solve the problem of “Window of Opportunity” and identification of disturbance causes. At the same time, regarding the shortcoming of neural network technique that its algorithm has a low speed of convergence and it is usually plunged into local optimum easily. Genetic algorithm was proposed to train samples in this paper. Results of the simulation ex-periments show that this method can detect the process disturbance quickly and accurately as well as identify the dis-turbance type.
文摘According to the current understanding, electromagnetic interaction is invariable under time reversal. However, the proof of time reversal symmetry in quantum theory of field has not considered the effects of high order perturbation normalizations. It is proved in the paper that when the renormalization effect of third order vertex angles process is taken into account, the symmetry of time reversal will be violated in electromagnetic interaction process. Because the magnitude order of symmetry violation is about 10–5, but the precision of current experiments on time reversal in particle physics is about 10–3, this kind of symmetry violation can not be found. The result reveals the micro-origin of asymmetry of time reversal and can be used to solve the famous irreversibility paradox in the evolution processes of macro- material systems.
基金National Natural Science Foundation of China(51801076)Natural Science Research of Jiangsu Higher Education Institutions of China(18KJB430009)+1 种基金Jiangsu Province Postdoctoral Science Foundation(1601055C)Senior Talents Research Startup of Jiangsu University(14JDG126)。
文摘The materials used in variable temperature conditions are required to have excellent thermal fatigue performance.The effects of laser shock processing(LSP),solid solution and aging treatment(T6),and cryogenic treatment(CT)on both microstructure and thermal fatigue performance of ZCuAl_(10)Fe_(3)Mn_(2) alloys were studied.Microstructure and crack morphology were then examined by scanning electron microscopy(SEM)and energy-dispersive X-ray spectroscopy(EDS).The result showed that,after being subjected to the combination treatment of T6+CT+LSP,the optimal mechanical properties and thermal fatigue performance were obtained for the ZCuAl_(10)Fe_(3)Mn_(2) alloy with the tensile strength,hardness,and elongation of 720 MPa,300.16 HB,and 16%,respectively,and the thermal fatigue life could reach 7,100 cycles when the crack length was 0.1 mm.Moreover,the ZCuAl_(10)Fe_(3)Mn_(2) after combination treatment shows high resistance to oxidation,good adhesion between the matrix and grain boundaries,and dramatically reduced growth rate of crack.During thermal fatigue testing,under the combined action of thermal and alternating stresses,the microstructure around the sample notch oxidized and became loose and porous,which then converted to micro-cracks.Fatigue crack expanded along the grain boundary in the early stage.In the later stage,under the cyclic stress accumulation,the oxidized microstructure separated from the matrix,and the fatigue crack expanded in both intergranular and transgranular ways.The main crack was thick,and the path was meandering.
基金produced from the responsible author's master's thesis titled“Periglacial geomorphology of Mount Honaz(Denizli)”,prepared at BilecikŞeyh Edebali University,Social Sciences Institute in 2019.
文摘The main aim of this study is to explain periglacial processes on the summits of Mount Honaz(2571 m a.s.l.),define periglacial landforms,and determine the relationships between morphometric features and topographic factors.Mud circles,stony earth circles,non sorted steps,and non sorted stripes were identified on the summits of Mount Honaz.Pearson's correlation coefficient(r)and linear regression analyses were performed by taking metric measurements from 125 periglacial landforms to describe their morphometric features(length,width,height)of periglacial landforms and explain the relationships between them and topographic factors(elevation,slope).To explain the relationships between periglacial landforms and soil properties,soil samples from 11 periglacial landforms were taken and analysed.Periglacial landforms,which continue to develop on the summits of Mount Honaz today,have been evaluated with present climate data.Analysis of soil samples indicates a notable impact of parent material on the genesis of periglacial landforms.The high ratio of organic matter in mud circle and non sorted step landforms and the high lime ratio in stony earth circle landforms prove a strong relationship between the formation mechanisms of landforms and the soil properties.Furthermore,it is consistent with the findings obtained from the analysis that severe periglacial processes and washing and scavenging events are experienced more on the northern slopes.
文摘Objective To establish a stable and efficient method of culturing imDCs in vitro,and to explore the effect of GW5074,which blocks ERK1 /2 signal pathway in the process of immature dentritic cells ( imDCs) on inducing differentiation of the naive allogeneic CD4 + T
文摘Anewtechnology──lasershockprocessing(LSP)forimprovingthemechanicalpropertiesofmetals,especiallyfatiguelife,ispresented.Themechanismofstresswavegeneratedbylasershockingisdescribed,andthestresswaveismeasuredwithPVDFtransducer.Ahigh-powerdensity,neodyrnium-glasslaserwasusedforshockingaluminumalloy,thefatiguelifeofaluminumalloywasincreasedgreatly.With95%confidence,thefatiguelifeofLSPspecimensis5.4to14.5timeslongerthantheunshockedSpecimensLaser s
