Mathematical Modeling of Manufacturing Processes the complete guide in 2019

Mathematical Modeling of Manufacturing Processes. His understanding of the basic mechanics such as heat and mass transport with associated fluid flow including metallurgical transformation, distortion, and residual stress generation in different manufacturing processes is the focus of this course.

Understanding the complex interaction not only helps to develop a mathematical model, but it also makes the foundation for analysis, numerical simulation at different scales, and experimentation for different types of manufacturing processes.

The development of computational models for a manufacturing process relies on the mathematical expression of the governing mechanism. It helps to design relevant experiments and drives to find the data to be obtained. A mutual understanding between analytical/numerical and experimental results leads to a better insight into the basic manufacturing processes that impact the improvement of existing processes and directs the development of a new process. However, this course is completely different from the statistical or data-driven modeling approach.

This course emphasized the understanding of the most general to advanced manufacturing processes based on scientific principles. The complex mechanism is presented in a simplified way to understand the subject at the elementary level. The broad impact is that the students will be able to develop a physics-based computational model of the manufacturing process using a standard commercial package (However, this course does not intend to cover the learning of the commercial software).

INTENDED AUDIENCE: Bachelor/Master/Ph.D. students having a background in Mechanical/Material Science/Metallurgicalengineering/Production Engineering/Manufacturing Technology

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