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Materials Degradation in Mechanical Design: Wear, Corrosion, Fatigue, and Their Interactions Web Course RePlay

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Materials degradation from environmental conditions is a common factor that will often occur in mechanical equipment used in every type of environment. These processes can frequently materialize in unpredicted and harmful ways, especially when they interact and lead to early component damage or failure. Captured from five, two-hour sessions, this course summarizes the mechanisms that cause materials and mechanical components to degrade in service through exposure to deleterious mechanical and environmental conditions.

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Fundamental Concepts of Turbocharging Modern Engines Current Practices and Trends Web Course RePlay

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Turbocharging is an integral part of many internal combustion engine systems. While it has long been a key to diesel engine performance, turbocharging is increasingly seen as an enabler in meeting many of the efficiency and performance requirements of modern automotive gasoline engines. This replay discusses the basic concepts of turbocharging and air flow management of four-stroke engines. It explores the fundamentals of turbocharging, system design features, performance measures, and matching and selection criteria. Topics include spark ignition, diesel engine systems, and the impact of different applications.

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Advanced GD&T Competencies: Profile of a Surface Web Course RePlay

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While the topic of profile is covered in a basic Geometric Dimensioning & Tolerancing (GD&T) course, those discussions often ignore the variations allowed with these symbols that enable them to be used in complex ways. This advanced web course will clarify the proper use of the profile tolerances in GD&T and uncover the nuances of these two symbols. Since the profile of a surface is arguably the most powerful GD&T symbol, its full potential will be explored. It can be used to control size, form, orientation, and location and its relationship to datums can be varied.

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FEA Beyond Basics: Thermal Analysis Web Course RePlay

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Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).

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Advanced GD&T Competencies: Datum Usage Web Course RePlay

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While the basics of datums are covered in a standard Geometric Dimensioning & Tolerancing (GD&T) course, those discussions often overlook the variations that enable datums to be used in complex ways. This advanced course will detail the proper use of datums, showing their full potential to make your drawings as effective as possible. Most people who use GD&T are familiar with traditional datums derived from flat surfaces, and have adequate knowledge of the principle of establishing 3-2-1 contact points.

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Root Cause Problem Solving - Methods and Tools

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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.

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Foundations for Implementing Root Cause Analysis

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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.

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Tolerance Stack-up Fundamentals Web Course RePlay

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Analysis of tolerance stacks varies widely. This web course introduces the basic tools to create a common methodology for tolerance stack-ups, and ensure seamless documentation. Participants will create 1-D tolerance stacks for parts and assemblies that use geometric dimensioning and tolerancing using a tolerance stack spreadsheet. This simple, manual spreadsheet method produces an easily interpreted and checked documentation trail, and is easily adaptable to common electronic spreadsheet programs. Multiple examples will be provided to assist engineers in applying tolerance stack-up fundamentals to Y14.5 issues.

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Introduction to Design Review Based on Failure Modes (DRBFM) Web Course RePlay

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This course will explain all phases of the DRBFM methodology and provide details on how to accomplish the specific steps. With the Design Review Based on Failure Modes (DRBFM) and Design Review Based on Test Results (DRBTR) Process Guidebook that is bundled with the course, the instructor will provide specific information on each step. Formats, examples, notes and homework slides will be used to illustrate the defined steps of the new SAE J2886 DRBFM Recommended Practice. Similarities in content between DRBFM and FMEA will be discussed, however the focus will be on conducting DRBFM methodology.

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Additive Manufacturing Bundle

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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.

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FEA Beyond Basics: Nonlinear Analysis Web Course RePlay

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Finite Element Analysis (FEA) has been an indispensable tool for design simulation for several decades but this wide spread use has been limited to simple types of analyses. Relatively recently, more advanced analyses have given easy-to-use interfaces enabling design engineers to simulate problems formerly reserved for analysts. FEA Beyond Basics targets the FEA users who wish to explore those advanced analysis capabilities. It will demonstrate how to move past the ubiquitous linear structural analysis and solve structural nonlinear problems characterized by nonlinear material, large displacements, buckling or nonlinear connectors.

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Fundamentals of Geometric Dimensioning & Tolerancing (GD&T) Web Course RePlay

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Geometric dimensioning and tolerancing (GD&T) is used as a symbolic way of showing specific tolerances on drawings. GD&T is a valuable tool that effectively communicates the design intent to manufacturing and inspection. It is governed by the technical standard ASME Y14.5-2018 (recently revised from the 2009 edition).

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Vibration Analysis Using Finite Element Analysis (FEA) Web Course RePlay

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This six-session course introduces vibration analysis performed with Finite Element Analysis (FEA). By considering time-dependent loads and inertial and damping effects, vibration analysis allows for a more in-depth product simulation thus reducing product development cost and time. The course reviews basic concepts of vibration analysis and illustrates how they are implemented in FEA to simulate product behavior. The most common types of vibration analysis such as modal, time response, and frequency response will be covered. The textbook, Engineering Analysis with SolidWorks® Simulation, by Paul Kurowski, is recommended reading.

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Battery Management Connection and Control

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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.

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Introduction to Weibull Solution Methods

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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.

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Introduction to Finite Element Analysis (FEA)

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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.

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Introduction to FMEA: What, Why, When, and How

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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.

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Introduction to Design of Experiments (DOE) for Engineers

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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.

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GD&T Fundamentals Based on ASME Y14.5-2009

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This interactive eLearning GD&T training course now utilizes HTML5 for better browser and device compatibility. It contains 29 robust, self-paced learning modules that explain the terms, symbols, modifiers, rules, and basic concepts of geometric tolerancing as prescribed in the ASME Y14.5-2009 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 particpants clearly visualize concepts, along with audio narration and 3D solid part examples.

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Design of Experiments (DoE) for Engineers

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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.