Fundamentals of Manufacturing Processes

Week 1: Introduction and Process Planning An introduction to the scope and significance of manufacturing worldwide, followed by an overview of the structure of 2.008x and highlights of key topics. Then, a framework is presented for planning manufacturing processes, and for evaluating process performance based on four key attributes.

Week 2: Machining This module describes machining, the most common process of material removal. Chapters address the mechanics of material deformation, estimates of material removal rate and cutting forces, practical aspects of turning and milling operations, and methods of machining advanced materials and complex parts.

Week 3: Injection Molding Injection molding is the most widely used plastics manufacturing process. Chapters of this module describe the process physics, rate-limiting steps, process parameters, thermoplastic materials, mold tooling design, and guidelines for defect prevention. Examples include molding of toy bricks, cups, and plastic furniture.

Week 4: Thermoforming and Sheet Metal Forming These modules address sheet forming of plastics and metals. Chapters describe the materials and process considerations, rate- and geometry-limiting aspects including springback and tearing, and explain various uses including manufacturing of plastic packaging and aluminum beverage cans. A supplement to the thermoforming module introduces other polymer forming processes including those for plastic bottles, bags, and large containers.

Week 5: Casting This module introduces casting, whereby a metal part is made by solidification within a mold. Modules describe sand casting, die casting, and investment casting processes; rate-limiting steps and factors governing part microstructure, quality, and cost are also analyzed.

Week 6: Additive Manufacturing We first introduce the spectrum of additive manufacturing (AM) technologies, its key applications, and reasons for its rapid growth and significance. Next, we focus in-depth on the three most prevalent AM processes: extrusion of polymers and composites (i.e., FFF/FDM), photopolymerization (i.e., stereolithography or SLA), and selective laser melting (SLM) of metals.

Week 7: Quality and Variation This module explains basic statistical methods for analyzing, monitoring, and controlling process variation, including the use of control charts. The critical differences between variation, tolerances, and quality are explained; and principles of precision metrology are introduced.

Week 8: Manufacturing System We will introduce probability theory and queuing theory, give analytical examples of simple manufacturing systems through the lens of critical concepts such as production rate, capacity, buffers, and offer simulations representative to the current state of the industry and case study examples.

Week 9: Manufacturing Cost Understanding the cost of manufacturing a part or product, and its relationship to the process details and production volume, is essential to effective scale-up. This module presents a methodology for estimating manufacturing cost, and examples discuss the cost of making toy bricks, window glass, and smartphones.

Week 10: Sustainability and Robotics First, we discuss the implications of the energy consumption of manufacturing, and of the product life cycle life cycle. Second, the robotics module introduces several types of robots used in manufacturing, compares their performance, and illustrates how robotics can improve production efficiency and quality.

Week 11: Electronics This module will explain the process physics of microelectronics fabrication, and PCB manufacturing. We will explain techniques for assembling electronic components on to PCBs and discuss Cost, Rate, Quality, and Flexibility of different assembly techniques.

Week 12: The Future of Manufacturing and Conclusion To conclude, this module provides a brief summary of 2.008x, highlights important emerging manufacturing technologies, and presents the perspectives of instructors and guests on the exciting future of manufacturing.