Daniel Cisneros Acevedo
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2 records found
1
Bachelor thesis
(2026)
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A.K. Behán, F.M. Boekema, W. Kao, C.K. Kort, G. Malacarne, L. Martin Gonzalez, A. Robinson, A. Savchenko, I.S. Wehsely, Y. Xu, N. Yue, A. Bettini, Daniel Cisneros Acevedo
This paper presents the preliminary design of the Post Oil Global Airliner, which is a intercontinental aircraft that is feasible for 120 passengers developed to achieve zero petroleum fuel dependence and help meet 2050 net-zero aviation targets. Operating only on the Bio Based Sustainable Aviation Fuel, the POGA is designed for a maximum of 5530 km range. Through the evaluation using a Multidisciplinary Design Analysis and Optimization (MDAO) framework, a selected configuration came up to be a Blended Wing Body. The design features above body turbofan engines and a multibubble pressure shell. The study concludes that the POGA is economically perspective concept through the market analysis. While there is a lot of challenges, such as stability control and pressure shell integrity, no fundamental engineering blockages were identified.
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This paper presents the preliminary design of the Post Oil Global Airliner, which is a intercontinental aircraft that is feasible for 120 passengers developed to achieve zero petroleum fuel dependence and help meet 2050 net-zero aviation targets. Operating only on the Bio Based Sustainable Aviation Fuel, the POGA is designed for a maximum of 5530 km range. Through the evaluation using a Multidisciplinary Design Analysis and Optimization (MDAO) framework, a selected configuration came up to be a Blended Wing Body. The design features above body turbofan engines and a multibubble pressure shell. The study concludes that the POGA is economically perspective concept through the market analysis. While there is a lot of challenges, such as stability control and pressure shell integrity, no fundamental engineering blockages were identified.
Gas Path Analysis on the GEnx-1B Engine with Fewer Gas Path Sensors
MSc. Thesis at KLM Engine Services
The aviation industry is increasingly driven to enhance predictive maintenance capabilities. This thesis addresses component-wise condition monitoring of the GEnx-1B engine with fewer gas path sensors using Gas Path Analysis (GPA). Due to a limited number of gas path sensors, the GPA problem is underdetermined, with more health indicators than available measurements. A novel approach is proposed that restructures the underdetermined problem into multiple solvable subproblems and combines their solutions using weight factors, while incorporating companion engine analysis to detect abnormal degradation. The GPA simulations are performed using GSPy, avoiding the computational cost of optimization-based methods. Results show accurate predictions of component health indicators, with strong performance for high-pressure compressor (HPC) and high-pressure turbine (HPT) degradation, while low-pressure components exhibit higher uncertainty. It also captures maintenance events and predicts abnormal degradation prior to failure using companion engine residuals. Overall, the Component Exclusion Method and Companion Engine Analysis enable health estimation of underdetermined gas path cases (like the GEnx-1B), while avoiding high computational costs.
...
The aviation industry is increasingly driven to enhance predictive maintenance capabilities. This thesis addresses component-wise condition monitoring of the GEnx-1B engine with fewer gas path sensors using Gas Path Analysis (GPA). Due to a limited number of gas path sensors, the GPA problem is underdetermined, with more health indicators than available measurements. A novel approach is proposed that restructures the underdetermined problem into multiple solvable subproblems and combines their solutions using weight factors, while incorporating companion engine analysis to detect abnormal degradation. The GPA simulations are performed using GSPy, avoiding the computational cost of optimization-based methods. Results show accurate predictions of component health indicators, with strong performance for high-pressure compressor (HPC) and high-pressure turbine (HPT) degradation, while low-pressure components exhibit higher uncertainty. It also captures maintenance events and predicts abnormal degradation prior to failure using companion engine residuals. Overall, the Component Exclusion Method and Companion Engine Analysis enable health estimation of underdetermined gas path cases (like the GEnx-1B), while avoiding high computational costs.