Injection Molding Process Modelling Statistics, CAE, and AI Applications

Synopsis

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.

Book details

Author:

Tien-Chien Jen, Edwell Tafara Mharakurwa, Steven Otieno Otieno, Fredrick Madaraka Mwema, Job Maveke Wambua

ISBN:

9781040116692

Related ISBNs:

9781032795201, 9781040116678, 9781003492498

Publisher:

CRC Press

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2024-09-10

Usage restrictions:

Copyright

Copyright date:

2025

Copyright by:

Tien-Chien Jen, Edwell Tafara Mharakurwa, Steven Otieno Otieno, Fredrick Madaraka Mwema, and Job Maveke Wambua 

Adult content:

No

Language:

English

Categories:

Business and Finance, Computers and Internet, Nonfiction, Technology