Injection Molding Process Modelling presents the application of CAE, statistics and AI in defect identification, control, and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling channels, and ensuring that the mold will produce parts with the desired specifications. The book illustrates the capability of the CAE tools to simulate molten plastic flow within a mold during the injection molding process.Explaining how the use of CAE, statistical tools and AI enhances efficiency, accuracy, and collaboration, the book explores the contributions to injection molding in product design and visualization; prototyping and testing; mold design; and analysis and simulation. It emphasizes the integration of statistical tools for optimized efficiency and waste reduction, including statistical process control (SPC), Design of Experiments (DOE), Regression Analysis, Capability Indices, Interaction effects, and many more. The book also illustrates the predictive modelling of typical injection molded product defects using intelligent algorithms.The book will interest industry professionals and engineers working in manufacturing, production, automation, and quality control.
Tien-Chien Jen & Edwell Tafara Mharakurwa
Injection Molding Process Modelling [EPUB ebook]
Statistics, CAE, and AI Applications
Injection Molding Process Modelling [EPUB ebook]
Statistics, CAE, and AI Applications
قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل EPUB ● صفحات 130 ● ISBN 9781040116692 ● الناشر CRC Press ● نشرت 2024 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 9570422 ● حماية النسخ Adobe DRM
يتطلب قارئ الكتاب الاليكتروني قادرة DRM