A design tool to study the impact of mission-profile on the reliability of SiC-based PV-inverter devices

Abstract While fundamentals of DFMA are widely accepted and used in the engineering design community, many CAD environments lack tools that address manufacturing concerns and provide rapid feedback to designers about manufacturing impacts of their design choices. This paper presents an experiment-based testing and validation of a rapid feedback tool that provides users a history-based prediction of manufacturing time based on the current state of the design. A between-subjects experiment is designed to evaluate the impact of the tool on design outcomes based on modeling time, part mass, and manufacturing time. Participants in the study included mechanical engineering graduate and undergraduate students with at least one semester of experience using SolidWorks. The experiment included three different design activities and three different conditions of the design tool. Participants completed up to three sessions with different experimental conditions. Analysis of the data collected shows that use of the design tool results in a small but nonsignificant increase in modeling time. Moreover, use of the tool results in reduced part mass on average, as well as in a within-subject comparison. Tool use reduced manufacturing time in open ended activities, but increased manufacturing time when activities focus more on mass-reduction. Participant feedback suggests that the tool helped guide their material removal actions by showing the impact on manufacturing time. Finally, potential improvements and future expansions of the tool are discussed.

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Advanced wire bonding for high reliability and high temperature applications

International Symposium on Microelectronics ◽

10.4071/isom-2016-wa51 ◽

2016 ◽

Vol 2016 (1) ◽

pp. 000214-000218

Author(s):

M. Guyenot ◽

M. Reinold ◽

Y. Maniar ◽

M. Rittner

Keyword(s):

High Temperature ◽

Band Gap ◽

Mechanical Performance ◽

High Reliability ◽

Calculation Model ◽

Basic Knowledge ◽

Thermal Cycles ◽

White Band ◽

The Impact ◽

Mission Profile

Abstract The next generation of switches for power electronic will be based on white band gap (WBG) semiconductor GaN or SiC. This materials supports higher switching current and high frequency. White band gap semiconductors enables higher application temperature. Certainly, high temperature capability is also to discuss in combination with high number of thermal cycles. For a frame module concept shows these paper a comparison of different joining techniques with the focus on the reliability issue on wire and ribbon bonding. Beside to the 1000 passive thermal cycles from −40°C to +125°C there are active thermals cycles for technology qualification required [3]. Depending on the application and mission profile a high thermal cycling capability is necessary. For this reason, new high temperature joining techniques for die attach, e.g. Silver sintering or diffusion soldering, were developed in the recent past [4]. All of this new joining techniques focusing on higher electrical, thermal and thermo-mechanical performance of power modules. By using an optimized metallization system for the WBG the numbers of thermal cycles can be increased and the maximum operating temperature advanced up to 300°C. In these new temperature regions silicon semiconductors will be substituted by WBG semiconductors. The present work shows an active power cycling capability of different wire and ribbon bonds and the failure mechanism will be discussed. A calculation model explained the reliability for the different wire diameter and the impact of bonding materials. This reliability calculation explain the thermo-mechanical effects and based on materials and geometry data and is not optimized for evidence. Through these physical background understanding more than 1.000.000 thermal cycles with a 150 K temperature swing from +30°C to +180°C are now possible. These is a the basic knowledge for a design for reliability based on current, mission profile and reliability optimization for future high end applications with wire or ribbon bonding technique.

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The impact of gate-driver parameters variation and device degradation in the PV-inverter lifetime

2014 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce.2014.6953704 ◽

2014 ◽

Cited By ~ 8

Author(s):

C. Sintamarean ◽

H. Wang ◽

F. Blaabjerg ◽

F. Iannuzzo

Keyword(s):

Pv Inverter ◽

Gate Driver ◽

The Impact

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Effect of Model Element Fidelity Within a Complex Function-Based Behavioral Model

Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2008-49355 ◽

2008 ◽

Cited By ~ 2

Author(s):

Ryan S. Hutcheson ◽

Daniel A. McAdams ◽

Robert B. Stone ◽

Irem Y. Tumer

Keyword(s):

Complex Function ◽

Behavioral Model ◽

Design Tool ◽

Prior Work ◽

Behavioral Models ◽

Early Design ◽

Formula Sae ◽

Model Fidelity ◽

Performance Predictions ◽

The Impact

The Function-based Behavioral Modeling (FBBM) design tool was introduced in prior work as a means of using formal functional modeling as the foundation for creating detailed mathematical models of system behavior. The overall objective of this work is to create a framework for partitioning modeling efforts into functional elements and promoting model storage and re-use through the use of functional models. In prior work, the FBBM method was introduced to model the complete vehicle dynamics of a Formula SAE racecar, highlighting the representation of functionality and the development of behavioral models. The objective of the work presented in the current paper is to demonstrate the ability to incorporate models of varying fidelity within a function-based behavioral model of a complex system. Additionally, the impact of model fidelity on the model’s predictions is addressed. A previously developed model is used as a foundation for developing the necessary new models and illustrating the impact of model fidelity on performance predictions when selecting a tire during early design. The results illustrate that the FBBM framework allows models of varying fidelity to be quickly made and their effect on predicted performance to be measured in order to assist critical early design choices.

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Automated Design Tool for Automotive Control Actuators

Volume 11B: 46th Design Automation Conference (DAC) ◽

10.1115/detc2020-22390 ◽

2020 ◽

Author(s):

Cyril Picard ◽

Jürg Schiffmann

Keyword(s):

Automotive Industry ◽

State Of The Art ◽

Automated Design ◽

Design Tool ◽

System Level ◽

Laptop Computer ◽

Automotive Control ◽

Design And Optimization ◽

Reporting Tool ◽

The Impact

Abstract Automated design tools are seldom used in industry. Their potential, however, is high, especially in companies mostly active in variant design, where custom tools could help cut down development time in the early stages. The design of geared electro-mechanical actuators for the automotive industry is such a case. These actuators are simple examples of coupled multi-disciplinary systems that can be hard to design, since they need to follow strict specifications in terms of performance and packaging. This paper presents an automated design and optimization tool tailored for such systems based on an integrated modeling approach, multi-objective optimization and an interactive reporting tool. The focus is set on the impact of system-level constraints on the usability by industry of the generated designs. In two case studies, the tool is able to find competitive actuator candidates that are cheaper (−3.6% and −11%) and more compact than similar existing products in less than an hour on a state-of-the-art laptop computer. More powerful options or actuators using different technologies have also been proposed. Compared to optimizations done without system-level constraints, the generated actuators are immediately usable by engineers to get accurate insights into the design problem and promote informed decision-making.

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Effect of Different Manufacturing Process Steps on the Final Residual Stress Depth Profile along the Process Chain of Autofrettaged Thick-Walled-Cylinders

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.996.676 ◽

2014 ◽

Vol 996 ◽

pp. 676-681 ◽

Cited By ~ 1

Author(s):

Horst Brünnet ◽

Michael Hofmann ◽

Nataliya Lyubenova ◽

Dirk Bähre

Keyword(s):

Residual Stress ◽

Depth Profile ◽

Manufacturing Process ◽

Compressive Residual Stress ◽

Design Tool ◽

Process Chain ◽

Technical Process ◽

Depth Profiles ◽

The Impact ◽

Compressive Residual Stresses

Selectively induced compressive residual stress depth profiles are gaining increasing importance as design tool for internally pressurized components. Hydraulic Autofrettage (AF) is a well-known manufacturing process to induce pronounced compressive residual stresses. However, AF does not stand alone in the technical process chain. In this paper, results from neutron diffraction experiments performed on thick-walled cylinders are presented and compared to finite-element simulations with Abaqus/CAE. The impact on the final residual stress depth profile after pre-machining, Autofrettage and post-machining is discussed.

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Theoretical principles underlying optical stimulation of a channelrhodopsin-2 positive pyramidal neuron

Journal of Neurophysiology ◽

10.1152/jn.00501.2011 ◽

2012 ◽

Vol 107 (12) ◽

pp. 3235-3245 ◽

Cited By ~ 38

Author(s):

Thomas J. Foutz ◽

Richard L. Arlow ◽

Cameron C. McIntyre

Keyword(s):

Light Source ◽

Pyramidal Neuron ◽

Fiber Optic ◽

Numerical Aperture ◽

Membrane Dynamics ◽

Design Tool ◽

Scientific Instrument ◽

Activation Threshold ◽

Dynamics Simulations ◽

The Impact

Optogenetics is an emerging field of neuromodulation that permits scaled, millisecond temporal control of the membrane dynamics of genetically targeted cells using light. Optogenetic technology has revolutionized neuroscience research; however, numerous biophysical questions remain on the optical and neuronal factors impacting the modulation of neural activity with photon-sensitive ion channels. To begin to address such questions, we developed a computational tool to explore the underlying principles of optogenetic neural stimulation. This “light-neuron” model consists of theoretical representations of the light dynamics generated by a fiber optic in brain tissue, coupled to a multicompartment cable model of a cortical pyramidal neuron embedded with channelrhodopsin-2 (ChR2) membrane dynamics. Simulations revealed that the large energies required to generate an action potential are primarily due to the limited conductivity of ChR2, and that the major determinants of stimulation threshold are the surface area of illuminated cell membrane and proximity to the light source. Our results predict that the activation threshold is sensitive to many of the properties of ChR2 (density, conductivity, and kinetics), tissue medium (scattering and absorbance), and the fiber-optic light source (diameter and numerical aperture). We also illustrate the impact of redistributing the ChR2 expression density (uniform vs. nonuniform) on the activation threshold. The model system developed in this study represents a scientific instrument to characterize the effects of optogenetic neuromodulation, as well as an engineering design tool to help guide future development of optogenetic technology.

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