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Book part
Publication date: 18 January 2024

Yashwantraj Seechurn

The complexity of atmospheric corrosion, further compounded by the effects of climate change, makes existing models inappropriate for corrosion prediction. The commonly used…

Abstract

The complexity of atmospheric corrosion, further compounded by the effects of climate change, makes existing models inappropriate for corrosion prediction. The commonly used kinetic model and dose-response functions are restricted in their capacity to represent the non-linear behaviour of corrosion phenomena. The application of artificial intelligence (AI)-driven machine learning algorithms to corrosion data can better represent the corrosion mechanism by considering the dynamic behaviour due to changing climatic conditions. Effective use of materials, coating systems and maintenance strategies can then be made with such a corrosivity model. Accurate corrosion prediction will help to improve climate change resilience of the social, economic and energy infrastructure in line with the UN Sustainable Development Goals (SDGs) 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure) and 13 (Climate Action). This chapter discusses atmospheric corrosion prediction in relation to the SDGs and the influence of AI in overcoming the challenges.

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Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

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Book part
Publication date: 18 January 2024

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Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

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Airport Design and Operation
Type: Book
ISBN: 978-1-78441-869-4

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Airport Design and Operation
Type: Book
ISBN: 978-0-08-054643-8

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The Handbook of Road Safety Measures
Type: Book
ISBN: 978-1-84855-250-0

Book part
Publication date: 9 June 2015

Mike Wilman and Bob Bax

This chapter explores the opportunities and challenges for Western firms that wish to engage in manufacturing operations in Iran, and particularly in the automotive industry…

Abstract

This chapter explores the opportunities and challenges for Western firms that wish to engage in manufacturing operations in Iran, and particularly in the automotive industry. Although Iran has a long and fruitful history of embracing foreign investment, collaboration with foreign firms suffered in the aftermath of the Islamic Revolution in 1979. The imposition of UN sanctions in 2012, following the disagreements between Iran and leading Western powers over Iran’s nuclear policy, has resulted in a further exodus of foreign manufacturers from Iran, hurting the production quality, adoption of up-to-date technology and alignment to international standards for manufacturing, such as vehicle safety and engine emissions in Iran.

The removal of sanctions, contingent on the success of nuclear negotiations between Iran and leading world powers, could provide Iran with an opportunity to recommence manufacturing collaboration with Western firms. The case of the automotive industry discussed in this chapter indicates some of the challenges that Iran is likely to face if it once again wants to become a player in international markets.

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Reintegrating Iran with the West: Challenges and Opportunities
Type: Book
ISBN: 978-1-78441-742-0

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Airport Design and Operation
Type: Book
ISBN: 978-1-78441-869-4

Abstract

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Airport Design and Operation
Type: Book
ISBN: 978-0-08-054643-8

Abstract

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Prioritization of Failure Modes in Manufacturing Processes
Type: Book
ISBN: 978-1-83982-142-4

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Airport Design and Operation
Type: Book
ISBN: 978-1-78441-869-4

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