<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Miranda Stockhausen | IDEAS Lab at University of Michigan</title><link>https://www.gokcincinar.com/authors/miranda-stockhausen/</link><atom:link href="https://www.gokcincinar.com/authors/miranda-stockhausen/index.xml" rel="self" type="application/rss+xml"/><description>Miranda Stockhausen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://www.gokcincinar.com/authors/miranda-stockhausen/avatar_hu9ac0cafb9b55903f9ee843aabb6b0676_11382_270x270_fill_lanczos_center_3.png</url><title>Miranda Stockhausen</title><link>https://www.gokcincinar.com/authors/miranda-stockhausen/</link></image><item><title>Electrified Aircraft Propulsion</title><link>https://www.gokcincinar.com/research/eap/</link><pubDate>Sun, 19 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.gokcincinar.com/research/eap/</guid><description>&lt;p>Electrified propulsion is reshaping aircraft design, but realizing practical concepts requires rigorous systems-level analysis of feasibility, integration pathways, and mission performance. Working with NASA’s Electrified Aircraft Propulsion (EAP) program and its Electrified Powertrain Flight Demonstration (EPFD) Project, our lab develops methods to evaluate next-generation propulsion architectures and identify the technologies and design choices that most improve efficiency, weight, and operational capability.&lt;/p>
&lt;p>A core element of this effort is our &lt;a href="https://doi.org/10.2514/1.C038452" target="_blank" rel="noopener">Future Aircraft Sizing Tool (FAST)&lt;/a> which unifies physics-based and data-driven models in a single computational framework. FAST enables rapid sizing and performance prediction for both conventional and advanced concepts, delivering full-mission analyses in under a minute to support expansive design-space exploration and optimization. FAST’s &lt;a href="https://doi.org/10.1016/j.ast.2025.110798" target="_blank" rel="noopener">Graph-based Propulsion System Analysis (GPSA) Framework&lt;/a> represents arbitrary propulsion architectures, allowing apples-to-apples comparison of integration strategies.&lt;/p>
&lt;p>To parameterize early-stage designs, we predict key performance parameters (KPPs) with non-parametric Gaussian Process Regressions (GPRs) trained on Aerobase&amp;ndash;an &lt;a href="https://doi.org/10.2514/6.2025-1287" target="_blank" rel="noopener">open-source historical database of over 400 aircraft and 200 engines&lt;/a> compiled from FAA and EASA type-certificate data. Embedding these surrogates within FAST enables fast, consistent evaluations that reflect historical trends while leaving room for technology deltas.&lt;/p>
&lt;p>Together, FAST&amp;rsquo;s computational framework with embedded GPRs is leveraged to perform sensitvity analyses and trade studies to inform stakeholders of the most important technologies to invest in. Two configurations studied so far were notional models of NASA&amp;rsquo;s Hybrid Electric Turboprop COmmerical Freighter (HETCOF) and &lt;a href="https://doi.org/10.2514/6.2025-2376" target="_blank" rel="noopener">SUbsonic Single Aft eNgine (SUSAN)&lt;/a> concepts. Trade studies on the HETCOF identified tradeoffs between the payload carried onboard and the size of the electrified propulsion system that can be fit into its existing airframe. Design studies on SUSAN explored the system-level benefits of incorporating boundary layer ingestion and natural laminar flow technologies into the concept.&lt;/p>
&lt;p>This work is sponsored by the NASA Aeronautics Research Mission Directorate and Electrified Powertrain Flight Demonstration project, &amp;ldquo;Development of a Parametrically Driven Electrified Aircraft Design and Optimization Tool,&amp;rdquo; Glenn Engineering and Research Support (GEARS) Contract No. WO-0238.&lt;/p></description></item><item><title>Digital Thread for Sustainable Propulsion System Design</title><link>https://www.gokcincinar.com/research/mbse/</link><pubDate>Sat, 18 Oct 2025 00:00:09 +0000</pubDate><guid>https://www.gokcincinar.com/research/mbse/</guid><description>&lt;p>Our lab advances structured Model-Based Systems Engineering (MBSE) methods to create a connected, traceable digital thread for aircraft electrification and hybridized propulsion architectures. As technical documentation grows increasingly fragmented across disciplines, engineers face rising integration and communication burdens. We address this by developing tool-agnostic MBSE frameworks that link requirements, functions, logic, and physical design in a unified system model.&lt;/p>
&lt;p>Using SysML and the requirements–functional–logical–physical (R-F-L-P) paradigm, we are building a scalable digital environment in MagicDraw that captures system requirements, behavior, and architecture at multiple levels of fidelity. Our approach begins with a clean decomposition of requirements and functions, ensuring alignment with verification and maintenance processes. We then extend these models to represent propulsion hybridization—comparing baseline and hybridized Inner Fixed Structure (IFS) architectures—to evaluate design tradeoffs and explore the impact of advanced technologies on sustainability and system performance.&lt;/p>
&lt;p>Building on our previous work in engine inlet design, our graph-based digital thread approach has demonstrated the ability to visually capture requirements space, enable conceptual test-bedding, and support collaborative analysis (&lt;a href="https://www.gokcincinar.com/publication/c-scitech-2025-sj/">Jagtap et al., 2025&lt;/a>). In continued collaboration with Collins Aerospace, we are applying these methods to model hybrid-electric propulsion systems, expanding the analytical and exploratory potential of MBSE for next-generation aircraft design.&lt;/p>
&lt;p>By integrating requirements, functions, and components into a single authoritative model, our framework enables rapid design iteration, early identification of integration risks, and certification-ready documentation. The result is a digital engineering process that strengthens traceability, accelerates decision-making, and supports more reliable and sustainable product development.&lt;/p></description></item><item><title>SUbsonic Single Aft eNgine (SUSAN) System Integration Analysis with the Future Aircraft Sizing Tool (FAST)</title><link>https://www.gokcincinar.com/publication/c-2025-scitech-ycw/</link><pubDate>Thu, 09 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.gokcincinar.com/publication/c-2025-scitech-ycw/</guid><description/></item></channel></rss>