https://calce.umd.edu/lead-free-readiness
This short course is intended to provide the audience with the current status of lead-free reliability and consideration of issues arising from the transition to lead-free assembled electronic hardware. The course provides up to date information on what companies should understand about lead-free materials, the reliability of lead-free assemblies, the risk posed by tin whiskers, as well as mixed solder reliability and rework and repair lead-based and lead-free assemblies.
Contact: Michael Osterman (osterman@umd.edu
Previous Offerings: 8 previous offerings (see website for organizations)
The Mechanical Engineering Department (including Reliability Engineering) offers a wide variety of short courses for non-degree seeking students. These courses can be provided to industry, governmental organizations and the general public.
Each of the following courses has unique logistics (length, location, cost, participant limitations, etc.). In some cases, the content of the courses can be customized to meet a customer’s need. We encourage interested organizations or individuals to contact the course’s instructor(s) to determine the availability of the course and other details.
Electronic Parts Management
Lead-Free Readiness
Plastic Materials for Microelectronics
https://calce.umd.edu/plastic-materials-microelectronics
Historically, PEMs have been used in commercial and telecommunications electronics and consequently have a large manufacturing base. With major advantages in cost, size, weight, performance, and availability, plastic packages have attracted 97% of the market share of worldwide microcircuit sales, although they encountered formidable challenges in gaining acceptance for use in government and military applications. Today, high-quality, high-reliability, high-performance, and low-cost plastic-encapsulated microcircuits are common. Thanks to new packaging materials, improved design, increased reliability testing, and other important developments, PEMs are not, in many cases, the most cost-effective option for a wide range of electronic systems applications.
Contact: Michael Pecht (pecht@umd.edu)
Previous Offerings: 9 previous offerings (see website for organizations)
Electronic Part Obsolescence Forecasting, Mitigation, and Management
https://calce.umd.edu/electronic-part-obsolescence-forecasting-mitigation-and-management
This course reviews DMSMS management best practices, the various mitigation approaches, and available methods of forecasting the obsolescence of parts. In addition, pro-active methods for managing obsolescence are discussed, including design refresh planning and the use of ASICs. The course is divided into 6 sections that cover introduction to electronic part obsolescence, forecasting, mitigation, management plan and case resolution, strategic management, total ownership cost modeling, and software obsolescence. The course includes a review of commercial databases and associated decision support tool offerings.
Contact: Peter Sandborn (sandborn@umd.edu)
Audience: Part selection and management, part procurement, system sustainment professionals
Previous Offerings: 40+ previous offerings to over 1000 students (see website for organizations), in-person and virtual
Course Materials: Presentation slide set
Course Length: 7 hours of content
Counterfeit Parts Detection Using SAE AS6171
https://calce.umd.edu/counterfeit-parts-detection-using-sae-as6171
The SAE AS6171 family of standards was developed by the G-19A Test Laboratory Standards Development Committee. The general requirements document sets out requirements and recommendations for risk assessment, test selection, sampling criteria, training, workmanship, and reporting associated with the detection of counterfeit parts. The slash sheets govern a wide range of test methods as well as a method for developing a test plan that balances the investment of resources for testing against the level of risk associated with the parts and end-use application. AS6171 servers as a comprehensive testing standard and a methodology for risk-based testing within any counterfeit prevention strategy.
Contact: Michael Azarian (mazarian@umd.edu)
Use of Component Documentation and Supply Chain for Counterfeit Avoidance Workshop
https://calce.umd.edu/use-component-documentation-and-supply-chain-counterfeit-avoidance-workshop-0
There is NO alternative to good supply chain management as a defense against counterfeit parts. Understanding the supply chain and assessing the supply chain before engaging them are necessary steps for any organization. This part of the course will cover how to understand and utilize process change notices for making supply change management and counterfeit detection more efficient. The role of counterfeit part reporting as a legal and technical tool along with its promises and limitations will be discussed with examples. The impact of the US DoD rule changes on the supply chain will be introduced.
Contact: Diganta Das (diganta@umd.edu)
Uprating
https://calce.umd.edu/uprating
The ratings on electronic parts and selection of their use for an application environment are a matter of concern for engineers in all industries. There are standards available for derating of parts that are not application specific and often outdated. This course will discuss the part ratings, how ratings are developed, and what their implications are in selecting the use environment for parts to meet the reliability and performance requirements of the system. This course will also introduce the participants to the design, assembly, test, legal and cost issues related to uprating. To stay competitive, both technically and economically, industries may need to consider using parts whose data sheet temperature limits are not broad enough to meet the application environment.
Contact: Diganta Das (diganta@umd.edu)
High-Temperature Electronics
https://calce.umd.edu/high-temperature-electronics
This course details the performance and reliability issues involved in designing electronic systems for use at temperatures above 125°C. It will provide the attendee with the tools and information needed to design electronic systems that will perform reliably in extreme temperature environments, such as are found in defense, avionic and automobiles applications.
Contact: Patrick McCluskey (mcclupa@umd.edu)
Previous offerings: 5 previous offerings (see website for organizations)
Optical Methods for Microelectronics
https://calce.umd.edu/optical-methods-microelectronics
This course teaches the basic concepts of optical methods as applied to microelectronics product development. It reviews numerous applications, which treat a great diversity of mechanics and materials studies in electronic packaging. Practical aspects of the technology are discussed in the final section.
Contact: Bongtae Han (bthan@umd.edu)
Integrated Energy Systems and Heat Pumps
Waste Heat Recovery Technologies
Waste heat with a temperature lower than 650°C accounts for a huge amount of total energy consumption. It is important to recover waste energy in this temperature range for sustainability. Attractive options to recover waste heat are converting it to electricity, industrial heating and space heating or cooling based on the waste heat temperature level. This course will provide a background of waste heat recovery technologies. Multiple thermodynamic cycles that utilize different levels of waste heat, including organic ranking cycles, supercritical CO2 cycles, high temperature heat pumps, thermally driven heating/cooling (absorption and adsorption) technologies, will be illustrated. A simulation tool – such as Engineering Equation Solver (EES) may be introduced for cycle simulation depending on participants’ interest.
Audience: Professional
Course Materials: Presentation slide set and course materials
Course Length: 6 hours of content, can be customized as mutually agreed upon
Contact: Reinhard Radermacher (raderm@umd.edu), Yunho Hwang (yhhwang@umd.edu)
Design of Combined Energy Systems
Combined energy systems utilize renewable energy sources, waste heat and thermally driven cooling technologies to simultaneously provide energy in multiple forms. They are reliable by virtue of main grid independence and ultra-efficient because of cascade energy utilization. These merits make combined systems potential candidates as energy suppliers for such applications as commercial buildings, campuses, neighborhoods and hospitals. This course will cover the fundamentals of combined energy systems, including system design optimization and operational strategies. Energy efficiency, emission reduction and economic models will be presented and discussed in the form case studies.
Audience: Professional
Course Materials: Presentation slide set and course materials
Course Length: 6 hours of content, can be customized as mutually agreed upon
Contact: Reinhard Radermacher (raderm@umd.edu), Yunho Hwang (yhhwang@umd.edu), Lei Gao (leigao@umd.edu)
Heat Pumps with Refrigerant Mixtures
The short course will address and discuss in detail working fluid mixtures and their applications in vapor compression systems. The short course will explain in detail the thermodynamics of refrigerant mixtures, which is considerably more complex than that of pure refrigerants, as well as the fundamentals of various refrigeration cycles and methods for improving their efficiency. The short course also includes important discussions on heat transfer and pressure drop correlations, experimental performance measurements and examples of using refrigerants and their mixtures, and critical operational issues such as control issues, refrigerant mixing, and mass fraction shifts.
Contact: Yunho Hwang (yhhwang@umd.edu)
Reliability Analysis
Reliability Science
https://clce.umd.edu/physics-failure-and-reliability
This course introduces the classical reliability concepts and relates the concepts to the reliability science approach. The information provided in this course will be useful for implementing a reliability science methodology for the life cycle of a product. The participants will learn how to develop and migrate to reliability science-based reliability assessment programs. The course will also teach how to facilitate the introduction of the reliability science methodology among the complete supply chain of the product.
Contact: Michael Pecht (pecht@umd.edu)
Previous Offerings: 20+ previous offerings (see CALCE website for previous offerings)
Fundamental Component and System Reliability Analysis
This course provides an overview of the techniques, methods, and models used in reliability analysis. Probabilistic modeling; probabilistic definition of reliability; use of data to assess model parameters; principal methods of reliability analysis, including fault trees and reliability block diagrams; Failure Mode and Effects Analysis (FMEA); event tree construction and evaluation; reliability data collection and analysis; Bayesian analysis and Bayesian Networks; parameter estimation; human reliability analysis. Focus on problems related to mechanical systems, process plants, energy systems and infrastructures, and other complex engineered systems.
Audience: Professionals. Individuals and organizations who wish to improve their decision-making skills.
Previous Offerings: Multiple previous offerings
Course Materials: Textbook, slides, course website
Course Length: 20-30 hours of content
Contact: Katrina Groth (kgroth@umd.edu)
Physics of Failure and Accelerated Testing
Contact: Mohammad Modarres (modarres@umd.edu) and Reuel Smith (smithrc@umd.edu)
Accelerated Product Qualification
https://calce.umd.edu/accelerated-product-qualification
Accelerated stress testing is one of the key resources in the physics of failure (PoF) approach and helps simulate product life cycles over compressed time periods by accelerating the damage accumulation rate for relevant wear out damage mechanisms. If done early in the development phase, in conjunction with reliability science design, accelerated testing can enhance process and design maturity and enable early introduction of mature products with robust design margins. Efficient testing requires an understanding of test methods, test stresses, test results, and correlation to field life. Participants will learn how to make accelerated stress testing a value-added activity and use test results to take pro-active, corrective measures early in the design and production phases to ensure reliability and quality.
Contact: Michael Pecht (pecht@umd.edu)
Previous Offerings: 20+ (see website for previous offerings)
Failure Analysis of Electronics
https://calce.umd.edu/calce-failure-analysis-electronics-short-course
The course covers specimen preparation and materials analysis techniques applicable to electronic assemblies, components, and devices and consists of a combination of classroom instruction, demonstrations, and hands-on laboratory training. Topics include reliability science root cause analysis, guidelines for selection of analytical tools, and practical instruction on laboratory techniques. The laboratory portion of the course includes demonstrations and step-by-step hands-on sample preparation using metallographic techniques on the latest failure analysis equipment. In addition, a number of important non-destructive and destructive analysis techniques will be demonstrated.
Contact: Michael Azarian (mazarian@umd.edu)
Root-Cause Failure Analysis of Electronic Products
https://calce.umd.edu/root-cause-failure-analysis-electronic-products
This course will present a methodology for identifying potential failure mechanisms based on the failure history. Appropriate failure analysis techniques for various failure mechanisms will be discussed, with step-by-step details provided. Example pictures and case studies will be presented. The course will conclude with corrective and preventative actions, the most crucial part of a failure analysis report.
Contact: Michael Azarian (mazarian@umd.edu)
Virtual Qualification and Reliability Assessment
https://calce.umd.edu/virtual-qualification-and-reliability-assessment
This course will provide the attendees with the knowledge necessary to apply such a methodology to the qualification of components and the reliability assessment of electronic systems. Each section provides introduction to reliability science based virtual qualification and application specific reliability assessment. The course will also demonstrate how to use manufacturer's test data together with failure modeling to qualify a component for use in a particular application and application of this virtual qualification technique to the insertion of commercial components into high-temperature, high-power, automotive, and avionic applications.
Contact: Michael Osterman (osterman@umd.edu
Previous Offerings: 6 previous offerings (see website for organizations)
Light Emitting Diode (LED) Reliability
https://calce.umd.edu/light-emitting-diode-led-reliability
This course will cover the latest progress in understanding of failure mechanisms of LEDs that occur at the die, interconnects, and within the package including electrostatic discharge, delamination, and phosphor thermal quenching. The driving factors for precipitating these mechanisms will be discussed to help the developers and users of LEDs control the mechanisms and assess reliability. The course will also inform on the relevant standards for LED testing and reliability assessment, the qualification methods currently in use by major LED manufacturers, and the qualification philosophies that will be most suitable to meet future needs for LED lighting applications.
Contact: Diganta Das (diganta@umd.edu)
Previous Offerings: 15+ previous offerings (see website for organizations)
Prognostics and Health Management
https://calce.umd.edu/prognostics-short-course
The course presents the tools and techniques for development and implementation of prognostics and health monitoring in terms of novel methods for in-situ monitoring, approaches for resource efficient data collection, algorithms for data reduction and parameter extraction, methods for identifying and analyzing precursors based on failure mechanisms, and techniques for predictions that can be used for assisting maintenance and logistics decisions. Different approaches for prognostics are presented along with implementation case-studies.
Contact: Michael Azarian (mazarian@umd.edu
Risk Analysis and Management
Engineering Decision Making and Risk Management
https://user.eng.umd.edu/~jwh2/textbook/index.html
In the course of engineering design, project management, and other functions, engineers have to make decisions, almost always under time and budget constraints. Managing risk requires making decisions in the presence of uncertainty. In this course students will develop two critical skills: choosing the right alternative and executing the right decision-making process. These skills will help students improve decision making and reduce risk in their engineering activities and organizations. This course will cover material on individual decision making, decision-making processes, and risk management. The course will present techniques for making better decisions, for understanding how decisions are made, and for managing risk. The course is designed for engineers and professionals who are comfortable with logical reasoning, calculation, probability, mathematics, and optimization, but it does not require advanced theoretical mathematics.
Contact: Jeffrey Herrmann (jwh2@umd.edu)
Audience: Professionals. Individuals and organizations who wish to improve their decision-making skills.
Previous Offerings: Multiple previous offerings (DoD organizations, manufactuers)
Course Materials: Textbook
Course Length: 20-30 hours of content
Probabilistic Risk Assessment and Management
Contacts: Mohammad Modarres (modarres@umd.edu) and Jeffrey Herrmann (jwh2@umd.edu)
Hydrogen Safety and Risk Assessment
Currently under development. Contact: Katrina Groth (kgroth@umd.edu)
System Resilience Assessment
Contact: Mohamad Pourgol (mpourgol@umd.edu
Overview of Performance Data Analysis
Contact: Vasiliy Krivtsov (krivtsov@umd.edu)
Sustainability
Design for Sustainability for Practitioners
Learn the Design for Sustainability (DfS) principles with examples and how these principles can be applied in the systems engineering process and in the life cycle stages. Learn methods to measure the energy to produce and the greenhouse gas emissions from various manufacturing processes. Learn how to use Life Cycle Assessment (LCA) databases (public domain) to determine various elements released during the manufacturing processes and their impact to environment and human health.
Contact: Senthil Arul (sarul@umd.edu)
Audience: Professional
Course Materials: Presentation slide set and course materials
Course Length: 24 hours of content.
Design for Sustainability for Executives
This course looks at various definitions of sustainability and examines what it means to corporations, consumers, and policy makers. Introduces the International Standards Organization (ISO) processes on Life Cycle Assessment (LCA) and the tools that could be used to measure the release of elements during the manufacturing processes and their impact to environment and humans. Introduces various practices that are used for reporting sustainability.
Contact: Senthil Arul (sarul@umd.edu)
Audience: Professional
Course Materials: Presentation slide set and course materials
Course Length: 2-3 hours of content
Miscellaneous
Large Eddy Simulations of Turbulent Flows
The course covers large eddy simulations (LES) of turbulent fluid flows and the most important recent developments in the method. The course is targeted towards people that use computational fluid dynamics (CFD) regularly and who have at least some working knowledge about LES.
Contact: Johan Larsson (jola@umd.edu) and Christoph Brehm (cbrehm@umd.edu)
Previous Offerings: CFD groups at NAVAIR
Course Materials: Presentation Slide Set
Course Length: 6 hours of content
Battery System Modeling, Estimation, Control, and Reliability
Covers the basics of battery electrochemistry, battery reaction/transport processes, and battery systems engineering. Emphasizes topics such as battery modelling, state/parameter estimation, prognostics/diagnostics, management, safety, reliability, and health-conscious control. Intended as an introductory, systems-focused battery course for mechanical engineering students and practitioners interested in applications such as transportation electrification, with a specific focus on battery technologies for these applications.
Contact: Hosam Fathy (hfathy@umd.edu)
Audience: Professionals. Powertrain engineers interested in being part of the transition towards transportation electrification in the automotive, marine, and (to a lesser extent) aerospace industries.
Course Materials: Presentation slide set, course materials, and textbook
Course Length: 12-15 hours of content
Electronic Product and System Cost Analysis
https://calce.umd.edu/electronic-product-and-system-cost-analysis
This course provides an in-depth understanding of predicting cost of systems. Elements of traditional engineering economics are melded with manufacturing process modeling, life-cycle cost management concepts, and selected concepts from environmental life-cycle cost assessment to form a practical foundation for predicting the real cost of electronic products.
Contact: Peter Sandborn (sandborn@umd.edu)
Audience: Program management
Previous offerings: Taught 6 times to (see website for organizations), in-person and virtual
Course materials: Presentation slide set provided to participants, textbook, and spreadsheet problem solutions
Course length: 15 hours of content
Critical System Sustainment
https://calce.umd.edu/critical-system-sustainment-5
“Sustainment” (as commonly defined by industry and government), is comprised of maintenance, support, and upgrade practices that maintain or improve the performance of a system and maximize the availability of goods and services while minimizing their cost and footprint or, more simply, the capacity of a system to endure. Sustainment is a multi-trillion-dollar enterprise for critical systems, in both government (infrastructure and defense) and industry (transportation, industrial controls, data centers, energy generation). This course introduces the important attributes of system sustainment by integrating the data analytics, engineering analysis, and public policy necessary to develop technologies, processes, and policies aimed at sustainment management processes and practices.
Contacts: Peter Sandborn (sandborn@umd.edu) and Bill Lucyshyn (lucyshyn@umd.edu)
Audience: Program management, reliability engineers
Course Materials: Presentation slide set and textbook
Course Length: 15 hours of content
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