Description

Book Synopsis

Artificial Intelligence in Tribology presents the use of machine learning AI, neural networks, and optimization algorithms in studying friction, wear, and lubrication. It explores the selection of materials, modeling of the tribo-system, prediction of tribological behavior, and assessment and optimization of performance across numerous systems.

Addressing tribological problems from macroscale to nanoparticles, the book discusses AI-driven methods to improve productivity, detect disasters, and support sustainable engineering. Case studies from various industries â such as automotive, aerospace, renewable energy, and marine engineering â highlight the transformative impact of AI in real-world scenarios.

This book will interest researchers and graduate students studying AI integration and advances in surface engineering, tribology, and materials science.

Artificial Intelligence in Tribology

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    Format Hardback

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    Order before 4pm today for delivery by Mon 16 Nov 2026.

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      Book details

      Publisher Taylor & Francis
      Published 3 August 2026
      ISBN-13 9781041035282
      978-1041035282
      ISBN-10 1041035284
      Also in:
      Technology, Engineering & Agriculture Engineering: general

      Description

      Book Synopsis

      Artificial Intelligence in Tribology presents the use of machine learning AI, neural networks, and optimization algorithms in studying friction, wear, and lubrication. It explores the selection of materials, modeling of the tribo-system, prediction of tribological behavior, and assessment and optimization of performance across numerous systems.

      Addressing tribological problems from macroscale to nanoparticles, the book discusses AI-driven methods to improve productivity, detect disasters, and support sustainable engineering. Case studies from various industries â such as automotive, aerospace, renewable energy, and marine engineering â highlight the transformative impact of AI in real-world scenarios.

      This book will interest researchers and graduate students studying AI integration and advances in surface engineering, tribology, and materials science.

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