Design of Mechanical Systems Based on Statistics

A Guide to Improving Product Reliability
1. Auflage 2021
ISBN: 978-0-367-07626-9
Verlag: Taylor & Francis

Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Advanced Research in Reliability and System Assurance Engineering

This book introduces and explains the parametric accelerated life testing (ALT) methodology as a new reliability methodology based on statistics, to help avoid recalls of products in the marketplace.

The book includes problems and case studies to help with reader comprehension. It provides an introduction to reliability design of the mechanical system as an alternative to Taguchi’s experimental methodology and enables engineers to correct faulty designs and determine if the targeted product reliability is achieved. Additionally, it presents a robust design methodology of mechanical products to withstand a variety of loads.

This book is intended for engineers of many fields, including industrial engineers, mechanical engineers, and systems engineers.

Zielgruppe

Academic and Professional

Autoren/Hrsg.

Woo, Seong-woo

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Geisteswissenschaften Design Produktdesign, Industriedesign
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Mathematik | Informatik Mathematik Stochastik
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik

Inhaltsverzeichnis

1. Introduction to Reliability Design of Mechanical/Civil System. 2. Data and Statistics in Mechanical System. 3. Probability and its Distribution. 4. Descriptive Statistics: Lifetime Analysis of Product. 5. Load Analysis. 6. Failure, Design, and Reliability Testing. 7. Statistical Inference: Parametric Accelerated Life Testing. 8. Case Studies of Parametric ALT. 9. Parametric ALT: A Powerful Tool for Future Engineering Development

Über Autor(innen)

Seong-woo Woo has a BS and MS in Mechanical Engineering, and he has obtained PhD in Mechanical Engineering from Texas A&M. He major in energy system such as HVAC and its heat transfer, optimal design and control of refrigerator, reliability design of mechanical components, and failure Analysis of thermal components in marketplace using the Non-destructive such as SEM & XRAY. Especially, he developed parametric accelerated life testing (ALT) as new reliability methodology. If there is design fault in the mechanical system that is subjected to repetitive stress, it will fail in its lifetime. Engineer should find the design faults by parametric ALT before product launches.

In 1992–1997 he worked in Agency for Defense Development, Chinhae, South Korea, where he has researcher in charge of Development of Naval weapon System. In 2000-2010 he had been working as a Senior Reliability Engineer in Side-by-Side Refrigerator Division, Digital Appliance, SAMSUNG Electronics, where he focused on enhancing the life of refrigerator as using parametric the accelerating life testing. Now he is working as associate professor in mechanical department, Addis Ababa Science & Technology University.