In collaboration with NCDMM and Tooling U-SME, this new instructor-led course focuses on the utilization of SMART Manufacturing in manufacturing operations. Through a highly interactive experience, participants will have a unique opportunity to engage with the content and instructor in order to facilitate maximum benefit from this training.
Space is Limited to 20 Participants.
This workshop is designed to introduce the learner to the implementation of Technology Integrated Manufacturing that creates and uses data in real time to address the needs of the factory, supplier, and customer. Smart Manufacturing is an advancement of traditional manufacturing automation.
COURSE GOALS:
Join us for a half-day of instruction and you will learn how to:
Define Smart Manufacturing
Identify Business Drivers and Technology Resources
Discuss and Judge Strategies for Moving to Smart Manufacturing
Recognize Legal limitations and Cybersecurity
Identify Psychological Impacts of implementation
Discuss cultural best practices for adoption of Smart Mfg
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This course will give a detailed introduction to open-source computational thermodynamics and kinetics software based on the CALPHAD method. It will feature hands-on demonstrations in an interactive cloud environment and practical exercises that will enable attendees to calculate phase diagrams, simulate solid-state precipitation of alloys, and to propagate uncertainty in a given thermodynamic calculation.
PyCalphad
PyCalphad is a free and open-source Python library for calculating phase diagrams, designing thermodynamic models, and investigating phase equilibria within the CALPHAD method. It provides routines for reading thermodynamic databases and solving the multi-component, multi-phase Gibbs energy minimization problem. All Gibbs energy and property models in PyCalphad are described symbolically allowing the models to be customized or overridden by users at runtime without changing any of the PyCalphad source code. Calculation results from PyCalphad are returned as multidimensional datasets that make it easy to incorporate PyCalphad into any tool or workflow.
Kawin
Kawin is a new open-source implementation of the Kampmann–Wagner Numerical model of precipitation (concomitant nucleation, growth, and coarsening). An overview of the organization and capabilities of the program is provided, along with an outline of the constituent physics. Kawin is capable of simulating the bulk precipitation behavior of multiphase, multicomponent systems in response to complex heat treatments. The inclusion of native strain calculations enables Kawin to predict the influence of internal or external stress fields on precipitation, as well as track the evolution of precipitate geometry throughout the course of a heat treatment.
COURSE GOALS:
After following along with the provided exercises, attendees will complete the course with new tools in-hand, ready to take home.
COURSE AUDIENCE:
Engineers and practitioners interested in learning more about open-source materials design tools.
In collaboration with NCDMM and Tooling U-SME, this new instructor-led course focuses on the utilization of SMART Manufacturing in manufacturing operations. Through a highly interactive experience, participants will have a unique opportunity to engage with the content and instructor in order to facilitate maximum benefit from this training.
Space is Limited to 20 Participants.
This workshop is designed to introduce the learner to the implementation of Technology Integrated Manufacturing that creates and uses data in real time to address the needs of the factory, supplier, and customer. Smart Manufacturing is an advancement of traditional manufacturing automation.
COURSE GOALS:
Join us for a half-day of instruction and you will learn how to:
Define Smart Manufacturing
Identify Business Drivers and Technology Resources
Discuss and Judge Strategies for Moving to Smart Manufacturing
Recognize Legal limitations and Cybersecurity
Identify Psychological Impacts of implementation
Discuss cultural best practices for adoption of Smart Mfg
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Direct Energy Deposition (DED) can trace its routes back to the dawn of welding. Compared to many other metal AM processes DED is extremely diverse, with an unrivalled range of energy sources, machine platforms and deposition strategies. Although this provides flexibility, enabling different configurations to be specified to suit a particular application, it also introduces significant levels of complexity. To master DED requires knowledge of the fundamentals of welding, automation and part programming.
This introduction to DED will cover:
This introductory session forms part of the DED-Arc (competence Unit 01) and DED-LB (competence Unit 08) offered under the International Additive Manufacturing Qualification System (IAMQS) https://www.skills4am.eu/iamqs.html
As the field of additive manufacturing (AM) quickly evolves, in-situ monitoring (ISM) becomes an essential component as complexity of AM processing and the criticality of parts increase. The role of ISM becomes increasingly vital because it has the potential to provide a holistic view of the health of the AM process across a wide variety of interacting process variables. In the current state, ISM primarily provides qualitative quality metrics derived from deviations in process parameters (e.g., laser power), process measurements (e.g., melt pool irradiance), and part appearance (e.g., layer imaging). These systems have even been adopted at some level as standard implementations by most major AM machine OEMs and some are generally viewed as necessary for the operation of AM systems (e.g., track height monitoring and feedback control in DED). However, the use of these ISM systems for process qualification effort will require the ability to confidently detect (or predict) type, size, and location of defects in a build, with a known confidence level nominally equivalent to that of ex-situ inspection techniques (such as x-ray computed tomography). These developments also require very large experimental datasets that have spatially resolved ISM signals correlated to ex-situ inspection. Currently, the industry does not have a consensus framework for validation of sensors and analysis techniques. This course resulted from a collaboration between NASA and ASTM which looked at the maturity of this technology (FOUND HERE), its readiness, gaps and applicability to the qualification and certification methodologies.
COURSE GOALS:
To provide a high-level understanding of:
Various ISM techniques
Challenges and limitations of ISM
Applications of ISM
Technological and Standardization Gaps
How it can be leveraged for Q&C?
COURSE AUDIENCE:
Engineers, practitioners, industry leaders who desire to learn about the state of the in-situ technologies, its readiness and applicability in the current state of the art of additive manufacturing.
As a vehicle moves through an atmosphere at sufficiently high speeds, friction with the atmosphere creates large amounts of heat and requires thermal protection systems (TPS) or a high-temperature aeroshell. Notable examples of TPS include ablative heat shields as used on NASA Apollo capsules as well as reusable tiles on the Space Shuttle Orbiter vehicles. This training session will introduce current TPS materials and vehicle integration approaches as well as the test methods used for certification. The high cost of current TPS approaches is an obstacle to the development of space transportation vehicles needed for a robust commercial space economy. Novel TPS approaches using advanced manufacturing techniques are needed by the well-established aerospace companies as well as start-ups. Understanding TPS fundamentals and developing lower cost TPS will be critical to the success of a commercial space economy.
ITAR RESTRICTED ATTENDANCE
Attendees must present the following at conference check-in to verify US Citizenship. Failure to produce any of the following will prohibit admittance
As the field of additive manufacturing (AM) quickly evolves, in-situ monitoring (ISM) becomes an essential component as complexity of AM processing and the criticality of parts increase. The role of ISM becomes increasingly vital because it has the potential to provide a holistic view of the health of the AM process across a wide variety of interacting process variables. In the current state, ISM primarily provides qualitative quality metrics derived from deviations in process parameters (e.g., laser power), process measurements (e.g., melt pool irradiance), and part appearance (e.g., layer imaging). These systems have even been adopted at some level as standard implementations by most major AM machine OEMs and some are generally viewed as necessary for the operation of AM systems (e.g., track height monitoring and feedback control in DED). However, the use of these ISM systems for process qualification effort will require the ability to confidently detect (or predict) type, size, and location of defects in a build, with a known confidence level nominally equivalent to that of ex-situ inspection techniques (such as x-ray computed tomography). These developments also require very large experimental datasets that have spatially resolved ISM signals correlated to ex-situ inspection. Currently, the industry does not have a consensus framework for validation of sensors and analysis techniques. This course resulted from a collaboration between NASA and ASTM which looked at the maturity of this technology (FOUND HERE), its readiness, gaps and applicability to the qualification and certification methodologies.
COURSE GOALS:
To provide a high-level understanding of:
Various ISM techniques
Challenges and limitations of ISM
Applications of ISM
Technological and Standardization Gaps
How it can be leveraged for Q&C?
COURSE AUDIENCE:
Engineers, practitioners, industry leaders who desire to learn about the state of the in-situ technologies, its readiness and applicability in the current state of the art of additive manufacturing.
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Over sixty years after the discovery of shape memory alloys (SMAs), many actuation and structural applications using these materials have been conceived and developed. SMAs are a unique class of multifunctional materials that have the ability to recover large deformations and generate high stresses in response to thermal, mechanical and/or electromagnetic stimuli. These abilities have made them a viable option for actuation/structural systems in aerospace and terrestrial applications.
In this training, you will learn how the unique properties of SMAs can be applied to designing mechanisms and the associated benefits. Basic primer will be provided on what they are and why they work with examples of the most successful applications that have been imagined. Common design tool and properties-database will be discussed.
Learning Objectives:
Upon completion of this training, you can identify:
Course Outline:
