Structural Alloys for Nuclear Energy Applications
  • Release Date : 15 August 2019
  • Publisher : Newnes
  • Categories : Technology & Engineering
  • Pages : 673 pages
  • ISBN 13 : 9780123973498
  • ISBN 10 : 012397349X
Score: 4
From 245 Ratings

Synopsis : Structural Alloys for Nuclear Energy Applications written by Robert Odette, published by Newnes which was released on 15 August 2019. Download Structural Alloys for Nuclear Energy Applications Books now! Available in PDF, EPUB, Mobi Format. High-performance alloys that can withstand operation in hazardous nuclear environments are critical to presentday in-service reactor support and maintenance and are foundational for reactor concepts of the future. With commercial nuclear energy vendors and operators facing the retirement of staff during the coming decades, much of the scholarly knowledge of nuclear materials pursuant to appropriate, impactful, and safe usage is at risk. Led by the multi-award winning editorial team of G. Robert Odette (UCSB) and Steven J. Zinkle (UTK/ORNL) and with contributions from leaders of each alloy discipline, Structural Alloys for Nuclear Energy Applications aids the next generation of researchers and industry staff developing and maintaining steels, nickel-base alloys, zirconium alloys, and other structural alloys in nuclear energy applications. This authoritative reference is a critical acquisition for institutions and individuals seeking state-of-the-art knowledge aided by the editors’ unique personal insight from decades of frontline research, engineering and management. Focuses on in-service irradiation, thermal, mechanical, and chemical performance capabilities. Covers the use of steels and other structural alloys in current fission technology, leading edge Generation-IV fission reactors, and future fusion power reactors. Provides a critical and comprehensive review of the state-of-the-art experimental knowledge base of reactor materials, for applications ranging from engineering safety and lifetime assessments to supporting the development of advanced computational models.