MANUFACTURING FUNDAMENTALS

ME 331

Introduction to the fundamentals of Computer Aided Engineering. Topics include mathematical and programmable methods for modeling and design of mechanical shapes and assemblies; shape processing for manufacturing, including NC machining and 3D printing; and computer-aided analysis of structural, thermal and other physical properties.

ME 313

A quantitative and qualitative study of manufacturing processes including machining, extrusion, sheet metal forming, welding, and casting for metals; and additive manufacturing, extrusion, injection molding, thermoforming and blow molding for plastics. Emphasis on process selection for optimum design. Laboratory experiments and demonstrations. Quality, strength, and economic evaluations.

ME 310

Introduction to all important aspects of polymer processing and engineering including polymeric materials, material properties, design and manufacturing considerations, processing methods, part performance, post-consumer recycling and upcycling, societal responsibilities and ethics, and various techniques for modeling in materials processing like dimensional analysis, design of experiments, analytical solutions, and computer simulation.

ME 311

An introduction to processes for manufacturing metal parts, designing parts to make them easier to manufacture with these methods, and approaches for increasing productivity. Manufacturing automation, control, and metrology for increased safety, productivity, and part quality. Engineering economics for determining the cost of manufacturing a part.

ME 529

Introduction to smart manufacturing. Understand how a company can connect its operational technology systems (e.g., machine tools) to its information technology systems to improve operational efficiency. Covers terminology, sensors and data, industrial computing platforms, data workflow and analysis, cyber-security, human factors, sequential logic control, and case studies of their application in smart manufacturing. Provides the basis for making informed decisions about how manufacturing processes and systems can be designed to be more adaptive (flexible) by automating, collecting the right data, sharing that data, implementing control systems and understanding the impact on humans and organizational systems.