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Many companies are starting to recognize the benefits additive manufacturing (AM) offers in terms of speed, simplicity, reliability, and cost. Additive manufacturing is a process in which a three-dimensional computer model design s built into a physical object by joining thin layers of material. AM is a versatile field that encompasses a variety of methods, materials, and applications. The one-hour courses in this bundle explain the fundamental concepts of additive manufacturing, including the main principles behind AM and the safety precautions to take during the process.

Introduction to Power Electronic Converters: In this course, you will learn why we need power converters. We will discuss the basic principles of power conversion and you will receive a brief overview of the various types of power converters. You will learn how to recognize different voltage, current, and power levels, as well as the AC or DC character of electrical power, through examples of common, present-day electrical applications. Power conversion and efficiency in battery systems: In this course, you will be taken into the lab to get acquainted with power conversion principles and efficiency measurements.

Weibull Analysis is the starting point for solving most issues related to product reliability, maintainability, supportability, quality, safety, test planning, and cost control. Weibull Analysis is popular worldwide as the best method for modeling and predicting variability and failure of designs, products, and systems. Instructor Wes Fulton will provide a solid overview of Weibull Solution Methods including an explanation of 16 additional Weibull Analysis capabilities, or Weibull Extensions.

Finite Element Analysis (FEA) is a computer-aided engineering (CAE) tool used to analyze how a design reacts under real-world conditions. Useful in structural, vibration, and thermal analysis, FEA has been widely implemented by automotive companies and is used by design engineers as a tool during the product development process. Design engineers analyze their own designs while they are still in the form of easily modifiable CAD models to allow for quick turnaround times and to ensure prompt implementation of analysis results in the design process.

Failure Mode and Effects Analysis (FMEA) is an essential part of any product design or redesign activity. FMEA is a proactive, quantitative, qualitative, step-by-step approach for identifying and analyzing all potential points of failure in any product or service. This team-based activity can dramatically improve product performance. It can also reduce manufacturing issues at the component, system, and processing levels. This module gives a high-level overview of FMEA facts: WHAT an FMEA is, WHY they are used, WHEN an FMEA is created, WHO is on the FMEA development team, and HOW the FMEA form is completed.

Design of Experiments (DOE) is a methodology that can be effective for general problem solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include, but are not limited to, identifying root causes to quality or production problems, identifying optimized design and process settings, achieving robust designs, and generating predictive math models that describe physical system behavior. This introductory eLearning course provides an example scenario to give learners the opportunity to discover situations that may warrant a designed experiment.

FMEA is an essential part of any product design or redesign. An FMEA requires that a dedicated team take a step-by-step, proactive approach to identifying and analyzing all potential failure modes in a product or service. Completing an FMEA can dramatically improve product performance and reduce manufacturing issues at the component, system, and processing level.  This interactive FMEA case study gives you an opportunity to work through the process as an engineer develops an FMEA.

Hybrid Electric Vehicle (HEV) models currently populating the vehicle electrification landscape indicate their dominance in the market. Although electric, plug-in, and fuel cell vehicles are making inroads in the market, the HEV stands as the market leader in adoption, and manufacturers have no plans on diminishing HEV production. HEV powertrain operation is totally different from the traditional vehicle. It is essential to understand the various operating modes and how failure modes in the hybrid system affect its operation.

How do you solve a problem? Do you find yourself using quick and easy solutions or a structured methodology? Too often, organizations tend to seek quick solutions to a problem without adequately addressing its underlying cause. These decisions often result in solutions that don't work or aren't sustainable, often wasting time, effort, and money. To combat these issues and adopt a fresh approach, teams can use the methods and tools of root cause problem solving.

How do you determine the root cause of a problem or identify which variable settings will make the product or process more "robust"? What if you need to gain a better understanding of a complicated system? Can you identify which variables most affect performance and obtain a well-correlated regression equation that explains how those selected system variables and their interactions affect performance?   Design of Experiments (DOE) is an excellent, statistically based tool used to address and solve these questions in the quickest, least expensive, and most efficient means possible.

This course is verified by Probitas as meeting the AS9104/3A requirements for Continuing Professional Development. This eLearning course teaches the requirements of AS13100, including the standard's harmonization of aerospace engine manufacturer requirements. Participants explore the flow to the engine manufacturers systems by regulators, customers, and industry. Suppliers learn how to improve overall product quality, compliance, and business performance. Course modules explore each section of the standard, supporting learners in the design, maintenance and assessment of their business processes.

This interactive eLearning GD&T training course features 23 robust, self-paced learning modules that explain the terms, symbols, modifiers, rules, and basic concepts of geometric tolerancing as prescribed in the ASME Y14.5-2018 Standard. Progress is easily measured with instant feedback throughout each lesson that reinforces and aids in concept retention, allowing the learner to determine where further review may be needed. Full color detailed animations that help participants clearly visualize concepts, along with audio narration and 3D solid part examples.

Effective problem solving isn't just a quality function, and it's not just for operations or engineering. Effective problem solving is a valuable skill set needed throughout an organization. By working through a plausible scenario, you'll assess your own problem-solving skills and experience how tempting it is to jump to solutions or try to fix the problem without investigating and understanding all the underlying causes. Though sometimes effective in the short-term, jumping to solutions can be unreliable, wasting time, money, and effort.

Finite Element Analysis (FEA) is a computer-aided engineering (CAE) tool used to analyze how a design reacts under real-world conditions. Useful in structural, vibration, and thermal analysis, FEA has been widely implemented by automotive companies. It's used by design engineers as a design tool during the product development process because it allows them to analyze their own designs while they are still in the form of easily modifiable CAD models, providing quick turnaround times and ensuring prompt implementation of analysis results in the design process.