Pub Date : 2023-01-01DOI: 10.52783/tjjpt.v44.i2.218
Aluminium alloy commercial grades6082 and 6063 are widely used in industrial application. For the joining of these grade material TIG welding can be preferably used. Friction stir welding (FSW) is the mechanical type joining process produces high welding strength without adding filler material. In this research article, experimental study is carried out on Al6082 and Al6063 to check weld quality and hardness of friction stir welding samples. Taguchi method and L9 orthogonal array is used for design of experiments. Comparative results revealed that friction stir welding gives tensile strength of weld upto123.23 N/mm² and maximum hardness upto 54Hv at welding nugget zone.
{"title":"Optimization Of Friction Stir Welding of Commercial Dissimilar Aluminium Grades HE30 & HE9 Using Taguchi Approach","authors":"","doi":"10.52783/tjjpt.v44.i2.218","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i2.218","url":null,"abstract":"Aluminium alloy commercial grades6082 and 6063 are widely used in industrial application. For the joining of these grade material TIG welding can be preferably used. Friction stir welding (FSW) is the mechanical type joining process produces high welding strength without adding filler material. In this research article, experimental study is carried out on Al6082 and Al6063 to check weld quality and hardness of friction stir welding samples. Taguchi method and L9 orthogonal array is used for design of experiments. Comparative results revealed that friction stir welding gives tensile strength of weld upto123.23 N/mm² and maximum hardness upto 54Hv at welding nugget zone.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135358303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.52783/tjjpt.v44.i3.492
The widespread use of Artificial Intelligence (AI) has transformed civilization and greatly affected human behavior and well-being. This empirical study examines and quantifies AI's various effects on behavior and well-being. This study examines the complex interaction between AI and human behavior across domains using a comprehensive literature review and a variety of empirical data sources. It examines how AI-driven personalisation, recommendation systems, and content curation affect people's preferences and interactions. AI's impact on healthcare, education, and mental health is also examined. The empirical investigation also covers AI's ethical and societal ramifications, including data privacy, algorithmic biases, and the psychological effects of AI-driven social media platforms. It quantifies AI's impact on job markets and economic behaviors, revealing labor force prospects and difficulties. This study also examines how AI improves healthcare, education, and convenience. This research seeks to understand how AI is changing human behavior and well-being through rigorous statistical analysis and data-driven investigation. The findings can help students, professionals, and society safely and ethically navigate AI technologies. This study emphasizes the need for a balanced strategy to exploit AI's benefits while minimizing its potential harm to individuals and societies. The main aim of the research is to identify&analysethe variables related to artificial intelligence which impacts on human behaviour& well-being.
{"title":"Impact of Artificial Intelligence on Human Behaviour & Well-Being- an Empirical Analysis","authors":"","doi":"10.52783/tjjpt.v44.i3.492","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i3.492","url":null,"abstract":"The widespread use of Artificial Intelligence (AI) has transformed civilization and greatly affected human behavior and well-being. This empirical study examines and quantifies AI's various effects on behavior and well-being. This study examines the complex interaction between AI and human behavior across domains using a comprehensive literature review and a variety of empirical data sources. It examines how AI-driven personalisation, recommendation systems, and content curation affect people's preferences and interactions. AI's impact on healthcare, education, and mental health is also examined. The empirical investigation also covers AI's ethical and societal ramifications, including data privacy, algorithmic biases, and the psychological effects of AI-driven social media platforms. It quantifies AI's impact on job markets and economic behaviors, revealing labor force prospects and difficulties. This study also examines how AI improves healthcare, education, and convenience. This research seeks to understand how AI is changing human behavior and well-being through rigorous statistical analysis and data-driven investigation. The findings can help students, professionals, and society safely and ethically navigate AI technologies. This study emphasizes the need for a balanced strategy to exploit AI's benefits while minimizing its potential harm to individuals and societies. The main aim of the research is to identify&analysethe variables related to artificial intelligence which impacts on human behaviour& well-being.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.13675/J.CNKI.TJJS.2015.01.005
C. Tan, Zhengying Wei, Pei Wei, Ben Q. Li, Z. Han
A multi-physic fields coupling mathematical model was established using fluid controlling equations,heat and mass transfer equations,species transport equations and Maxwell's electromagnetic equations,to predict flow field characteristics inside and outside supersonic plasma gun. The three-dimensional model contained cathode,anode and anode boundary layers,and took ionization and recombination reactions,as well as non-local thermal equilibrium into consideration. The contours of temperature and velocity of plasma jet were displayed under argon and argon- hydrogen working conditions, and arc voltage was also described. The results show that gas temperature inside plasma gun increases by 30%,and velocity increases by 67% after hydrogen was added to working gas. Besides,gas temperature and velocity decrease more sharply at distance of 0~50mm from nozzle exit than that of 50~100mm,while the decrease rate of the velocity and temperature are reduced with increasing axial distance. The relative error of calculated arc voltage is 4.4%,compared with measured value,illustrating the reasonableness of model after considering anode boundary layer.
{"title":"Numerical Analysis of Plasma Flow with Supersonic Plasma Gun","authors":"C. Tan, Zhengying Wei, Pei Wei, Ben Q. Li, Z. Han","doi":"10.13675/J.CNKI.TJJS.2015.01.005","DOIUrl":"https://doi.org/10.13675/J.CNKI.TJJS.2015.01.005","url":null,"abstract":"A multi-physic fields coupling mathematical model was established using fluid controlling equations,heat and mass transfer equations,species transport equations and Maxwell's electromagnetic equations,to predict flow field characteristics inside and outside supersonic plasma gun. The three-dimensional model contained cathode,anode and anode boundary layers,and took ionization and recombination reactions,as well as non-local thermal equilibrium into consideration. The contours of temperature and velocity of plasma jet were displayed under argon and argon- hydrogen working conditions, and arc voltage was also described. The results show that gas temperature inside plasma gun increases by 30%,and velocity increases by 67% after hydrogen was added to working gas. Besides,gas temperature and velocity decrease more sharply at distance of 0~50mm from nozzle exit than that of 50~100mm,while the decrease rate of the velocity and temperature are reduced with increasing axial distance. The relative error of calculated arc voltage is 4.4%,compared with measured value,illustrating the reasonableness of model after considering anode boundary layer.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"1 1","pages":"30-36"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82015288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-01-01DOI: 10.1109/cctae.2010.5544325
Zhu Huiren
The heat transfer of the kerosene under supercritical pressure was investigated through experiment.According to the experimental results,the heat transfer curve of the kerosene under supercritical pressure was plotted.The results show that kerosene heat transfer under supercritical pressure from low to high temperature goes through the following four periods:(1) the normal heat transfer: in this region,the tube wall temperature and the kerosene temperature are lower than the critical temperature;(2) heat transfer enhancement period: in this region,the tube wall temperature arrives at the critical temperature,similar boiling heat transfer happened;(3) heat transfer deterioration: in this region,the temperature is higher than the temperature that the specific heat reaches the maximum value and decreases slowly after the maximum;(4) the second heat transfer enhancement: after the heat transfer deterioration period,when the temperature is even higher,both the specific heat and the conduction coefficient rises slowly,and the second heat transfer enhancement come.
{"title":"Heat transfer characteristics of kerosene in micro-channel under supercritical pressure","authors":"Zhu Huiren","doi":"10.1109/cctae.2010.5544325","DOIUrl":"https://doi.org/10.1109/cctae.2010.5544325","url":null,"abstract":"The heat transfer of the kerosene under supercritical pressure was investigated through experiment.According to the experimental results,the heat transfer curve of the kerosene under supercritical pressure was plotted.The results show that kerosene heat transfer under supercritical pressure from low to high temperature goes through the following four periods:(1) the normal heat transfer: in this region,the tube wall temperature and the kerosene temperature are lower than the critical temperature;(2) heat transfer enhancement period: in this region,the tube wall temperature arrives at the critical temperature,similar boiling heat transfer happened;(3) heat transfer deterioration: in this region,the temperature is higher than the temperature that the specific heat reaches the maximum value and decreases slowly after the maximum;(4) the second heat transfer enhancement: after the heat transfer deterioration period,when the temperature is even higher,both the specific heat and the conduction coefficient rises slowly,and the second heat transfer enhancement come.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81608215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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