Advanced Manufacturing Processes II (eBook, PDF)

Selected Papers from the 2nd Grabchenko's International Conference on Advanced Manufacturing Processes (InterPartner-2020), September 8-11, 2020, Odessa, Ukraine
Redaktion: Tonkonogyi, Volodymyr; Dasic, Predrag; Kuric, Ivan; Edl, Milan; Pavlenko, Ivan; Grabchenko, Anatolii; Oborskyi, Gennadii; Trojanowska, Justyna; Ivanov, Vitalii

• Format: PDF

Produktbeschreibung

This book offers a timely yet comprehensive snapshot of innovative research and developments at the interface between manufacturing, materials and mechanical engineering, and quality assurance. It covers a wide range of manufacturing processes, such as cutting, grinding, assembly, and coatings, including ultrasonic treatment, molding, radial-isostatic compression, ionic-plasma deposition, volumetric vibration treatment, and wear resistance. It also highlights the advantages of augmented reality, RFID technology, reverse engineering, optimization, heat and mass transfer, energy management, quality inspection, and environmental impact. Based on selected papers presented at the Grabchenko's International Conference on Advanced Manufacturing Processes (InterPartner-2020), held in Odessa, Ukraine, on September 8-11, 2020, this book offers a timely overview and extensive information on trends and technologies in production planning, design engineering, advanced materials, machining processes, process engineering, and quality assurance. It is also intended to facilitate communication and collaboration between different groups working on similar topics and offer a bridge between academic and industrial researchers.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 856
• Erscheinungstermin: 4. Februar 2021
• Englisch
• ISBN-13: 9783030680145
• Artikelnr.: 61136188

Inhaltsangabe

Intelligent Predictive Decision Support System for the Maintenance Service Provider.- Readiness to Use Augmented Reality Solutions in Small and Medium Enterprises in Poland: A Survey.- Production Line Balancing in a Mixed-Model Production System: A Case Study.