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B01=Khaoula Alaoui
B01=Younes El Kacimi
Category1=Non-Fiction
Category=TBD
Category=TDC
Category=TDCB
Category=TGM
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Emerging Technologies and Industrial Applications of Corrosion Science

English

Corrosion stands as a persistent and costly challenge across numerous industrial sectors, posing threats to infrastructure integrity, financial stability, and safety. The progressive degradation of metals due to chemical reactions with their environment not only results in substantial financial losses but also raises significant safety concerns. The need for effective corrosion protection technologies has never been more pressing, as industries strive to maintain operational efficiency, extend the lifespan of critical assets, and ensure the safety of personnel. Emerging Technologies and Industrial Applications of Corrosion Science emerges as a solution to the pervasive problem of corrosion, offering a deep dive into the latest advancements in corrosion protection. By delving into innovative techniques and protective methods, this book equips professionals with the knowledge and tools needed to combat corrosion effectively. Through a blend of theoretical insights and practical applications, the book empowers engineers, industrial chemists, researchers, and students to implement cutting-edge corrosion mitigation strategies across diverse industrial sectors. With its interdisciplinary approach and coverage of emerging technologies such as smart coatings, biomaterials, and artificial intelligence, this book suggests innovations in materials science. By providing actionable insights and practical solutions, the book facilitates the development and implementation of sustainable corrosion protection strategies, ensuring the longevity and reliability of critical infrastructure. Ultimately, this book serves as a catalyst for progress, driving advancements in corrosion science and industrial applications for a safer, more resilient future. See more
Current price €319.19
Original price €335.99
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Age Group_Uncategorizedautomatic-updateB01=Khaoula AlaouiB01=Younes El KacimiCategory1=Non-FictionCategory=TBDCategory=TDCCategory=TDCBCategory=TGMCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 15 Nov 2024

Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 15 Nov 2024
  • Publisher: IGI Global
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9798369363416

About

Younes El Kacimi is currently working as Quality Director in Automotive Industry. He has more than 15 years of industry core experience in Quality and Project Management and academic levels. Younes has built an international profile over the years through research teaching and professional experience. He holds expertise in corrosion and corrosion prevention by studying and developing advanced engineering tools and technology. Younes has authored 1 Patent 8 Books and Books chapters and many other publications in corrosion sciences nanomaterials and analytical chemistry. He is also an editorial board member and reviewer in different well-renowned international journals.Khaoula Alaoui received his B.Sc. in Chemistry (2013) and she was awarded his M.Sc. degree in Organic chemistry and Environnemental Sciences (2015) from Ibn Tofail University. Then she started to PhD thesis. She had published more than 20 papers in international journals. His work has been cited 300 total citations by 204 documents with h-index=10 (since 2016 in SCOPUS) and presented several communications in symposia and national/international meetings. She has supervised more than 30 Master theses in corrosion sciences. She is a reviewer at several national and international journals. She is the author of a 4 book chapters. Her main research interests are in the field of corrosion sciences and molecular modeling simulation using new tools and approaches such as Artificial intelligence Machine and Deep Learning.

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