Property enhancement of cast iron used for nuclear casks

Ductile iron （DI） is a preferred material for use in various structural, automotive, and engineering fields because of its excellent combination of strength, toughness, and ductility. In the current investigation, we elucidate the relationship between the morphological and mechanical properties of DI intended for use in safety applications in the nuclear industry. DI specimens with various alloying elements were subjected to annealing and austempering heat treatment processes. A faster cooling rate appeared to increase the nodule count in austempered specimens, compensating for their nodularity value and subsequently decreasing their ductility and impact strength. The ductility and impact energy values of annealed specimens increased with increasing ferrite area fraction and nodularity, whereas an increase in the amounts of Ni and Cr resulted in an increase of hardness via solid solution strengthening. Austempered specimens were observed to be stronger than an- nealed specimens and failed in a somewhat brittle manner characterized by a river pattern, whereas the ductile failure mode was character- ized by the presence of dimples.

On China＇s Sustainable Development of Energy—Opportunity for the China＇s Nuclear Power Industry

According to the policy of reforming the power industry and accelerating the power construction of our country, by 2020, the national power consumption will be up to 3.6-3.7 trillion kilowatt-hours, the installed power-generating capacity is more than 800 million kilowatts. Therefore, the development of the China’s nuclear power industry faces good international and domestic environments and good historical opportunities. From the point of national energy security, economic development, and resource distribution, it is analyzed that China must develop the nuclear power in a more cost-effective style in this paper.

Nuclear power industry's growth set to slow

According to the report of China Daily, influenced by the nuclear accidents in Japan, the expansion of China's nuclear power industry will slow from the rapid rate of the 11 th

HI-TECH INDUSTRIALIZATION AT SHANGHAI INSTITUTE OF NUCLEAR RESEARCH

Shanghai Institute of Nuclear Research (SINR), one of the four institutes of nuclear science administered by the CAS Bureau of Basic Sciences, was founded in the 1950s and now has a staff of 964. Its research areas include nuclear physics and nuclear technology, radioactive chemistry and irradiation chemistry, nuclear electronics and related equip-

Neutron irradiation-induced effects on the reliability performance of electrochemical metallization memory devices

In this work,electrochemical metallization memory(ECM)devices with an Ag/AgInSbTe(AIST)/amorphous carbon(a-C)/Pt structure were irradiated with 14 MeV neutrons.The switching reliability performance before and after neutron irradiation was compared and analyzed in detail.The results show that the irradiated memory cells functioned properly,and the initial resistance,the resistance at the low-resistance state(LRS),the RESET voltage and the data retention performance showed little degradation even when the total neutron fluence was as high as 2.5×1011 n/cm2.Other switching characteristics such as the forming voltage,the resistance at the high-resistance state(HRS),and the SET voltage were also studied,all of which merely showed a slight parameter drift.Irradiation-induced Ag ions doping of the a-C layer is proposed to explain the damaging effects of neutron irradiation.The excellent hard characteristics of these Ag/AIST/a-C/Pt-based ECM devices suggest potential beneficial applications in the aerospace and nuclear industries.

Integration of Knowledge Processes into Management Systems

Understanding definitions and differences between the processes,knowledge processes and business processes is the first step of the integration of knowledge processes into management systems of an organization.The next step is to understand throughout the company why the processes should be introduced and continuously maintained.The knowledge is one of the most valuable assets of the company,relevant part of the intellectual capital.The management of the knowledge and its lifecycle can give a market advantage for the organization.In the nuclear industry this is the vital requirement to maintain the safe and reliable operation of a nuclear facility,or radiation safety activates.Those companies who already implemented an integrated management system were following international standards,or good practices(like ISO 9001,EFQM,Standard Nuclear Performance Model developed by Nuclear Energy Institute(NEI)and others).This article focuses on nuclear industry organizations,approaches and methods,and how to integrate the knowledge processes into management system.This is the last step of the knowledge management implementation in an organization.When it was done,we can say that the knowledge processes are embedded into organization’s day-to-day life and the knowledge managed in the organization as all other resources.

Deep Learning in Nuclear Industry:A Survey

As a high-tech strategic emerging comprehensive industry,the nuclear industry is committed to the research,production,and processing of nuclear fuel,as well as the development and utilization of nuclear energy.Nowadays,the nuclear industry has made remarkable progress in the application fields of nuclear weapons,nuclear power,nuclear medical treatment,radiation processing,and so on.With the development of artificial intelligence and the proposal of“Industry 4.0”,more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency,reduce operation cost,improve operation safety,and realize risk avoidance.Meanwhile,deep learning,as an important technology of artificial intelligence,has made amazing progress in theoretical and applied research in the nuclear industry,which vigorously promotes the development of informatization,digitization,and intelligence of the nuclear industry.In this paper,we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry.Then,we discuss the data types involved in the nuclear industry chain.After that,we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry.Finally,we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.

The academic achievements by Shiquan Sun

Professor Shiquan Sun was one of the founders of radiation medicine for China’s nuclear industry.He mainly focused on the occupational health effects from radiation during his academic career.His viewpoint of uranium poisoning solved the problem of hepatitis in the early stage of nuclear industry.He indicated that reducing radon and its progenies was the key to prevent lung cancer in miners.He was in charge of the first radio-epidemiological study over the nuclear industry,and developed the first national standard about attributing cancer to occupational radiation exposure.With the support from IAEA,he promoted the application of radiation sterilization for tissue allografts and established the first tissue bank in the country.