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Design for Manufacturing and Assembly (DFM+A), pioneered by Boothroyd and Dewhurst, has been used by many companies around the world to develop creative product designs that use optimal manufacturing and assembly processes.  Correctly applied, DFM+A analysis leads to significant reductions in production cost, without compromising product time-to-market goals, functionality, quality, serviceability, or other attributes.  This course will include information on how DFM+A fits in with QFD, Concurrent Engineering, Robust Engineering, and other disciplines.

This course is verified by Probitas Authentication as meeting the AS9104/3A requirements for continuing Professional Development. Why is a design for manufacturing, assembly and automation so important? This introductory course on airframe engineering will cover the importance of design for manufacturing, assembly and automation in aerospace. It will review what the key drivers are for a “good” design and some of the key points for manufacturing and assembly of aircraft components. It will look at how an engineer can combine traditional technologies with new, cutting-edge technologies, to determine the best scenario for success.

Model-based software development has become state of the art for automotive embedded applications. Toolchains have been established, and methods and procedures have been defined to address the strong requirements of functional safety standards. Best practices within general software development, however, propose to overcome strict waterfall process models and promote agile methods in order to address real-world challenges, such as late changes or vague requirements. These real-world scenarios exist in automotive software development, and agile methods will also be beneficial here.

This training class provides a practical overview of developing and safeguarding embedded software on the basis of Simulink and code generators like Embedded Coder and TargetLink within the framework of serial projects. The training class takes participants through all process steps from designing and creating the simulation model in Simulink and Stateflow to generating production code. Model quality assurance consists of verifying the model and software architecture, safeguarding the modeling guidelines, as well as checking for functional compliance with requirements in the model test.

This training class provides a comprehensive overview of the principles, processes, and objectives of model testing – from requirements to model tests. We offer step-by-step guidance from creating requirements-based test specifications, through testing TargetLink and/or Embedded Coder models, to automated test evaluation based on test assessments and back-to-back/regression tests. In particular, we will emphasize ISO 26262-compliant test management and explain the test process for MiL and SiL, as well as tracing requirements to test specifications and test assessments.

Design for Manufacturing and Assembly (DFM+A), pioneered by Boothroyd and Dewhurst, has been used by many companies around the world to develop creative product designs that use optimal manufacturing and assembly processes. Correctly applied, DFM+A analysis leads to significant reductions in production cost, without compromising product time-to-market goals, functionality, quality, serviceability, or other attributes. In this two-day course, you will not only learn the Boothroyd Dewhurst Method, you will actually apply it to your own product design!

This course explains how a lithium-ion cell can be designed, sized, and produced for a specific capacity and energy. The key steps in the selection and production of the main components of the cell, i.e. electrodes, separator, and electrolyte, are discussed. The slurry formulation, mixing, coating, drying, calendaring, cutting, stacking, electrolyte formulation/injection, sealing/packing, and formation cycles are detailed both in terms of machineries and the processing parameters.

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.

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.